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ORCIDChangshui Zhang
Chang-shui Zhang
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- affiliation (PhD 1992): Tsinghua University, Beijing, China
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2020 – today
- 2024
[j166]Song Tang, An Chang, Fabian Zhang, Xiatian Zhu, Mao Ye, Changshui Zhang:
Source-Free Domain Adaptation via Target Prediction Distribution Searching. Int. J. Comput. Vis. 132(3): 654-672 (2024)- [j165]Changming Xiao, Qi Yang, Feng Zhou, Changshui Zhang:
From text to mask: Localizing entities using the attention of text-to-image diffusion models. Neurocomputing 610: 128437 (2024) - [j164]Ziang Li
, Yiwen Guo, Haodi Liu, Changshui Zhang:
A Theoretical View of Linear Backpropagation and its Convergence. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3972-3980 (2024) - [j163]Shuang Li, Norman Hendrich, Hongzhuo Liang, Philipp Ruppel, Changshui Zhang, Jianwei Zhang:
A Dexterous Hand-Arm Teleoperation System Based on Hand Pose Estimation and Active Vision. IEEE Trans. Cybern. 54(3): 1417-1428 (2024) - [j162]Song Tang, Yuji Shi, Zihao Song, Mao Ye, Changshui Zhang, Jianwei Zhang:
Progressive Source-Aware Transformer for Generalized Source-Free Domain Adaptation. IEEE Trans. Multim. 26: 4138-4152 (2024) - [j161]Kun Zhang, Ilya Shpitser, Sara Magliacane, Davide Bacciu, Fei Wu, Changshui Zhang, Peter Spirtes:
IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4899-4901 (2024) - [j160]Feiping Nie, Hong Chen, Shiming Xiang, Changshui Zhang, Shuicheng Yan, Xuelong Li:
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5710-5720 (2024) - [j159]Wenzheng Hu, Zhengping Che, Ning Liu, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang:
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11595-11607 (2024) - [c254]Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song:
CLOMO: Counterfactual Logical Modification with Large Language Models. ACL (1) 2024: 11012-11034 - [c253]Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang:
Learned ISTA with Error-Based Thresholding for Adaptive Sparse Coding. ICASSP 2024: 9301-9305 - [c252]Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang:
CLAP: Collaborative Adaptation for Patchwork Learning. ICLR 2024 - [c251]Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama:
Accurate Forgetting for Heterogeneous Federated Continual Learning. ICLR 2024 - [c250]Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang:
Balancing Similarity and Complementarity for Federated Learning. ICML 2024 - [c249]Ruixin Hong, Hongming Zhang, Xinyu Pang, Dong Yu, Changshui Zhang:
A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning. NAACL-HLT 2024: 900-925 - [i71]Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang:
Balancing Similarity and Complementarity for Federated Learning. CoRR abs/2405.09892 (2024) - [i70]Ruixin Hong, Hongming Zhang, Xiaoman Pan, Dong Yu, Changshui Zhang:
Abstraction-of-Thought Makes Language Models Better Reasoners. CoRR abs/2406.12442 (2024) - 2023
- [j158]Zhilong Liang, Zhenzhi Tan, Ruixin Hong, Wanli Ouyang, Jinying Yuan, Changshui Zhang:
Automatically Predicting Material Properties with Microscopic Images: Polymer Miscibility as an Example. J. Chem. Inf. Model. 63(19): 5971-5980 (2023) - [j157]Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Searching for Network Width With Bilaterally Coupled Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8936-8953 (2023) - [j156]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13235-13249 (2023) - [j155]Changming Xiao, Qi Yang, Xiaoqiang Xu, Jianwei Zhang, Feng Zhou, Changshui Zhang:
Where you edit is what you get: Text-guided image editing with region-based attention. Pattern Recognit. 139: 109458 (2023) - [j154]Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang:
A survey on machine learning from few samples. Pattern Recognit. 139: 109480 (2023) - [c248]Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao:
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. AAAI 2023: 7193-7201 - [c247]Ruixin Hong, Hongming Zhang, Hong Zhao, Dong Yu, Changshui Zhang:
Faithful Question Answering with Monte-Carlo Planning. ACL (1) 2023: 3944-3965 - [i69]Zhilong Liang, Zhenzhi Tan, Ruixin Hong, Wanli Ouyang, Jinying Yuan, Changshui Zhang:
Automatically Predict Material Properties with Microscopic Image Example Polymer Compatibility. CoRR abs/2303.12360 (2023) - [i68]Ruixin Hong, Hongming Zhang, Hong Zhao, Dong Yu, Changshui Zhang:
Faithful Question Answering with Monte-Carlo Planning. CoRR abs/2305.02556 (2023) - [i67]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment. CoRR abs/2307.14668 (2023) - [i66]Changming Xiao, Qi Yang, Feng Zhou, Changshui Zhang:
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models. CoRR abs/2309.04109 (2023) - [i65]Ruixin Hong, Hongming Zhang, Xinyu Pang, Dong Yu, Changshui Zhang:
A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning. CoRR abs/2311.07954 (2023) - [i64]Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song:
CLOMO: Counterfactual Logical Modification with Large Language Models. CoRR abs/2311.17438 (2023) - 2022
- [j153]Lei Li, Wenzheng Hu, Jiang Lu, Changshui Zhang:
Leaf vein segmentation with self-supervision. Comput. Electron. Agric. 203: 107352 (2022) - [j152]Jianwei Zhang, Stefan Wermter, Fuchun Sun, Changshui Zhang, Andreas K. Engel, Brigitte Röder, Xiaolan Fu, Gui Xue:
Editorial: Cross-Modal Learning: Adaptivity, Prediction and Interaction. Frontiers Neurorobotics 16: 889911 (2022) - [j151]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1002-1019 (2022) - [j150]Jiang Lu, Lei Li, Changshui Zhang:
Self-Reinforcing Unsupervised Matching. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4404-4418 (2022) - [j149]Yiwen Guo, Changshui Zhang:
Recent Advances in Large Margin Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7167-7174 (2022) - [j148]Xintong Yu, Hongming Zhang, Ruixin Hong, Yangqiu Song, Changshui Zhang:
VD-PCR: Improving visual dialog with pronoun coreference resolution. Pattern Recognit. 125: 108540 (2022) - [j147]Ruixin Hong, Hongming Zhang, Xintong Yu, Changshui Zhang:
Learning Event Extraction From a Few Guideline Examples. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2955-2967 (2022) - [j146]Yiwen Sun, Kun Fu, Zheng Wang, Donghua Zhou, Kailun Wu, Jieping Ye, Changshui Zhang:
CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task. IEEE Trans. Intell. Transp. Syst. 23(5): 4037-4048 (2022) - [j145]Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang:
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Trans. Intell. Transp. Syst. 23(12): 23231-23243 (2022) - [c246]Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
GreedyNASv2: Greedier Search with a Greedy Path Filter. CVPR 2022: 11892-11901 - [c245]Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiao-Gang Wang, Chang Xu:
ViTAS: Vision Transformer Architecture Search. ECCV (21) 2022: 139-157 - [c244]Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, Dong Yu:
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. EMNLP 2022: 4698-4724 - [c243]Yulu Wang, Yiwen Sun, Lei Fang, Changshui Zhang:
Leveraging Sparse Coding for EEG Based Emotion Recognition in Shooting. ICASSP 2022: 1421-1425 - [c242]Hongyan Xu, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya:
Data Agnostic Filter Gating For Efficient Deep Networks. ICASSP 2022: 3503-3507 - [c241]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Collaboration Equilibrium in Federated Learning. KDD 2022: 241-251 - [c240]Abudukelimu Wuerkaixi, You Zhang, Zhiyao Duan, Changshui Zhang:
Rethinking Audio-Visual Synchronization for Active Speaker Detection. MLSP 2022: 1-6 - [c239]Abudukelimu Wuerkaixi, Kunda Yan, You Zhang, Zhiyao Duan, Changshui Zhang:
DyViSE: Dynamic Vision-Guided Speaker Embedding for Audio-Visual Speaker Diarization. MMSP 2022: 1-6 - [c238]Ruixin Hong, Hongming Zhang, Xintong Yu, Changshui Zhang:
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation. NAACL-HLT (Findings) 2022: 1887-1905 - [c237]Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang:
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. NeurIPS 2022 - [i63]Zhilong Liang, Zhiwei Li, Shuo Zhou, Yiwen Sun, Changshui Zhang, Jinying Yuan:
A Machine Learning Method for Material Property Prediction: Example Polymer Compatibility. CoRR abs/2202.13554 (2022) - [i62]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Relational Self-Supervised Learning. CoRR abs/2203.08717 (2022) - [i61]Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Searching for Network Width with Bilaterally Coupled Network. CoRR abs/2203.13714 (2022) - [i60]Ruixin Hong, Hongming Zhang, Xintong Yu, Changshui Zhang:
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation. CoRR abs/2205.02593 (2022) - [i59]Xintong Yu, Hongming Zhang, Ruixin Hong, Yangqiu Song, Changshui Zhang:
VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution. CoRR abs/2205.14693 (2022) - [i58]Peng Dai, Yiqiang Feng, Renliang Weng, Changshui Zhang:
Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object Tracking. CoRR abs/2205.15495 (2022) - [i57]Abudukelimu Wuerkaixi, You Zhang, Zhiyao Duan, Changshui Zhang:
Rethinking Audio-visual Synchronization for Active Speaker Detection. CoRR abs/2206.10421 (2022) - [i56]Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, Dong Yu:
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. CoRR abs/2210.12487 (2022) - 2021
- [j144]Jie Zhang, Yunxu Shi, Chienkai Wang, Chunmei Cao, Changshui Zhang, Linhong Ji, Jia Cheng, Fangfang Wu:
Preshooting Electroencephalographic Activity of Professional Shooters in a Competitive State. Comput. Intell. Neurosci. 2021: 6639865:1-6639865:9 (2021) - [j143]Ziang Yan, Yiwen Guo, Changshui Zhang:
Adversarial Margin Maximization Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1129-1139 (2021) - [j142]Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang:
On Connections Between Regularizations for Improving DNN Robustness. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4469-4476 (2021) - [j141]Zhong Cao, Sen Cui, Changshui Zhang:
DCR: Disentangled component representation for sketch generation. Pattern Recognit. Lett. 145: 16-22 (2021) - [j140]Wenzheng Hu, Mingyang Li, Zheng Wang, Jianqiang Wang, Changshui Zhang:
DiFNet: Densely High-Frequency Convolutional Neural Networks. IEEE Signal Process. Lett. 28: 1340-1344 (2021) - [j139]Yiwen Guo, Ming Lu, Wangmeng Zuo, Changshui Zhang, Yurong Chen:
Deep Likelihood Network for Image Restoration With Multiple Degradation Levels. IEEE Trans. Image Process. 30: 2669-2681 (2021) - [j138]Jiang Lu, Sheng Jin, Jian Liang, Changshui Zhang:
Robust Few-Shot Learning for User-Provided Data. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1433-1447 (2021) - [c236]Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
BCNet: Searching for Network Width With Bilaterally Coupled Network. CVPR 2021: 2175-2184 - [c235]Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding:
Learning a Proposal Classifier for Multiple Object Tracking. CVPR 2021: 2443-2452 - [c234]Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Prioritized Architecture Sampling With Monto-Carlo Tree Search. CVPR 2021: 10968-10977 - [c233]Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu, Dong Yu:
Exophoric Pronoun Resolution in Dialogues with Topic Regularization. EMNLP (1) 2021: 3832-3845 - [c232]Yanpin Ren, Changshui Zhang:
A Trans-regional Online and Offline Fusion Lab Teaching Practice Through Cross-university Cooperation. FIE 2021: 1-5 - [c231]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Ziang Yan, Changshui Zhang, Jieping Ye:
FMA-ETA: Estimating Travel Time Entirely Based on FFN with Attention. ICASSP 2021: 3355-3359 - [c230]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. ICCV 2021: 10022-10031 - [c229]Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang:
Learning with Privileged Tasks. ICCV 2021: 10665-10674 - [c228]Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Locally Free Weight Sharing for Network Width Search. ICLR 2021 - [c227]Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang:
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. ICLR 2021 - [c226]Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. ICML 2021: 9880-9890 - [c225]Abudukelimu Wuerkaixi, Christodoulos Benetatos, Zhiyao Duan, Changshui Zhang:
CollageNet: Fusing arbitrary melody and accompaniment into a coherent song. ISMIR 2021: 786-793 - [c224]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. KDD 2021: 207-217 - [c223]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD 2021: 1287-1297 - [c222]Shan You, Chang Xu, Fei Wang, Changshui Zhang:
Workshop on Model Mining. KDD 2021: 4177-4178 - [c221]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
ReSSL: Relational Self-Supervised Learning with Weak Augmentation. NeurIPS 2021: 2543-2555 - [c220]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS 2021: 26091-26102 - [e7]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 13019, Springer 2021, ISBN 978-3-030-88003-3 [contents] - [e6]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 13020, Springer 2021, ISBN 978-3-030-88006-4 [contents] - [e5]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science 13021, Springer 2021, ISBN 978-3-030-88009-5 [contents] - [e4]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 13022, Springer 2021, ISBN 978-3-030-88012-5 [contents] - [i55]Haipeng Zhang, Zhong Cao, Ziang Yan, Changshui Zhang:
Sill-Net: Feature Augmentation with Separated Illumination Representation. CoRR abs/2102.03539 (2021) - [i54]Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Locally Free Weight Sharing for Network Width Search. CoRR abs/2102.05258 (2021) - [i53]Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding:
Learning a Proposal Classifier for Multiple Object Tracking. CoRR abs/2103.07889 (2021) - [i52]Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Prioritized Architecture Sampling with Monto-Carlo Tree Search. CoRR abs/2103.11922 (2021) - [i51]Yiwen Guo, Changshui Zhang:
Recent Advances in Large Margin Learning. CoRR abs/2103.13598 (2021) - [i50]Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
BCNet: Searching for Network Width with Bilaterally Coupled Network. CoRR abs/2105.10533 (2021) - [i49]Weishen Pan, Changshui Zhang:
The Definitions of Interpretability and Learning of Interpretable Models. CoRR abs/2105.14171 (2021) - [i48]Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. CoRR abs/2106.06442 (2021) - [i47]Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Vision Transformer Architecture Search. CoRR abs/2106.13700 (2021) - [i46]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
ReSSL: Relational Self-Supervised Learning with Weak Augmentation. CoRR abs/2107.09282 (2021) - [i45]Song Tang, Yan Yang, Zhiyuan Ma, Norman Hendrich, Fanyu Zeng, Shuzhi Sam Ge, Changshui Zhang, Jianwei Zhang:
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation. CoRR abs/2107.12585 (2021) - [i44]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR abs/2108.05335 (2021) - [i43]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Learning to Collaborate. CoRR abs/2108.07926 (2021) - [i42]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Fair and Consistent Federated Learning. CoRR abs/2108.08435 (2021) - [i41]Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu, Dong Yu:
Exophoric Pronoun Resolution in Dialogues with Topic Regularization. CoRR abs/2109.04787 (2021) - [i40]Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang:
Correcting the User Feedback-Loop Bias for Recommendation Systems. CoRR abs/2109.06037 (2021) - [i39]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. CoRR abs/2110.04770 (2021) - [i38]Wenzheng Hu, Ning Liu, Zhengping Che, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang:
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. CoRR abs/2110.10921 (2021) - [i37]Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
GreedyNASv2: Greedier Search with a Greedy Path Filter. CoRR abs/2111.12609 (2021) - [i36]Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang:
Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding. CoRR abs/2112.10985 (2021) - [i35]Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang:
A Theoretical View of Linear Backpropagation and Its Convergence. CoRR abs/2112.11018 (2021) - 2020
- [j137]Jinpeng Mi, Hongzhuo Liang, Nikolaos Katsakis, Song Tang, Qingdu Li, Changshui Zhang, Jianwei Zhang:
Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction. Frontiers Neurorobotics 14: 26 (2020) - [j136]Zhong Cao, Jiang Lu, Sen Cui, Changshui Zhang:
Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding. Pattern Recognit. 107: 107488 (2020) - [j135]Runpeng Cui, Zhong Cao, Weishen Pan, Changshui Zhang, Jianqiang Wang:
Deep Gesture Video Generation With Learning on Regions of Interest. IEEE Trans. Multim. 22(10): 2551-2563 (2020) - [j134]Wenzheng Hu, Junqi Jin, Tie-Yan Liu, Changshui Zhang:
Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3215-3229 (2020) - [j133]Kailun Wu, Yiwen Guo, Changshui Zhang:
Compressing Deep Neural Networks With Sparse Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3828-3838 (2020) - [c219]Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang:
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. AAAI 2020: 710-718 - [c218]Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang:
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. AAAI 2020: 5972-5980 - [c217]Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang:
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet. CVPR 2020: 1996-2005 - [c216]Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-Sheng Hua:
Boosting Semantic Human Matting With Coarse Annotations. CVPR 2020: 8560-8569 - [c215]Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang:
Few Sample Knowledge Distillation for Efficient Network Compression. CVPR 2020: 14627-14635 - [c214]Yanpin Ren, Qing Zhuo, Yi Yang, Changshui Zhang:
An Overview of Signal Processing Engineering Education in China. FIE 2020: 1-8 - [c213]Yulu Wang, Kailun Wu, Changshui Zhang:
Adversarial Attacks on Deep Unfolded Networks for Sparse Coding. ICASSP 2020: 5974-5978 - [c212]Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang:
Sparse Coding with Gated Learned ISTA. ICLR 2020 - [c211]Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao:
Semismooth Newton Algorithm for Efficient Projections onto ℓ1, ∞-norm Ball. ICML 2020: 1974-1983 - [c210]Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Road Network Metric Learning for Estimated Time of Arrival. ICPR 2020: 1820-1827 - [c209]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting. ICPR 2020: 3483-3490 - [c208]Wenzheng Hu, Mingyang Li, Changhe Yuan, Changshui Zhang, Jianqiang Wang:
Diversity in Neural Architecture Search. IJCNN 2020: 1-8 - [c207]Shangchen Du, Shan You, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, Changshui Zhang:
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space. NeurIPS 2020 - [c206]Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang:
When Counterpoint Meets Chinese Folk Melodies. NeurIPS 2020 - [i34]Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang:
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. CoRR abs/2002.03082 (2020) - [i33]Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang:
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet. CoRR abs/2003.11236 (2020) - [i32]Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-Sheng Hua:
Boosting Semantic Human Matting with Coarse Annotations. CoRR abs/2004.04955 (2020) - [i31]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting. CoRR abs/2004.10958 (2020) - [i30]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Fusion Recurrent Neural Network. CoRR abs/2006.04069 (2020) - [i29]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Ziang Yan, Changshui Zhang, Jieping Ye:
FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention. CoRR abs/2006.04077 (2020) - [i28]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility. CoRR abs/2006.08267 (2020) - [i27]Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Road Network Metric Learning for Estimated Time of Arrival. CoRR abs/2006.13477 (2020) - [i26]Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang:
On Connections between Regularizations for Improving DNN Robustness. CoRR abs/2007.02209 (2020) - [i25]Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang:
Learning from Very Few Samples: A Survey. CoRR abs/2009.02653 (2020) - [i24]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust Finite Mixture Regression for Heterogeneous Targets. CoRR abs/2010.05430 (2020) - [i23]Yuhai Song, Zhong Cao, Kailun Wu, Ziang Yan, Changshui Zhang:
Learning Fast Approximations of Sparse Nonlinear Regression. CoRR abs/2010.13490 (2020) - [i22]Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Data Agnostic Filter Gating for Efficient Deep Networks. CoRR abs/2010.15041 (2020) - [i21]Mingjie Sun, Jianguo Li, Changshui Zhang:
Extreme Value Preserving Networks. CoRR abs/2011.08367 (2020) - [i20]Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang:
Explicitly Learning Topology for Differentiable Neural Architecture Search. CoRR abs/2011.09300 (2020)
2010 – 2019
- 2019
- [j132]Zhen Deng, Ge Gao, Simone Frintrop, Fuchun Sun, Changshui Zhang, Jianwei Zhang:
Attention Based Visual Analysis for Fast Grasp Planning With a Multi-Fingered Robotic Hand. Frontiers Neurorobotics 13: 60 (2019) - [j131]Nan Jiang, Sheng Jin, Changshui Zhang:
Hierarchical automatic curriculum learning: Converting a sparse reward navigation task into dense reward. Neurocomputing 360: 265-278 (2019) - [j130]Rui Lu, Zhiyao Duan, Changshui Zhang:
Audio-Visual Deep Clustering for Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1697-1712 (2019) - [j129]Runpeng Cui, Hu Liu, Changshui Zhang:
A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training. IEEE Trans. Multim. 21(7): 1880-1891 (2019) - [j128]Daqing Chang, Shiliang Sun, Changshui Zhang:
An Accelerated Linearly Convergent Stochastic L-BFGS Algorithm. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3338-3346 (2019) - [c205]Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang:
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues. EMNLP/IJCNLP (1) 2019: 5122-5131 - [c204]Xintong Yu, Tszhang Guo, Kun Fu, Lei Li, Changshui Zhang, Jianwei Zhang:
Image Captioning with Partially Rewarded Imitation Learning. IJCNN 2019: 1-8 - [c203]Yiwen Guo, Ziang Yan, Changshui Zhang:
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks. NeurIPS 2019: 3820-3829 - [i19]Yiwen Guo, Wangmeng Zuo, Changshui Zhang, Yurong Chen:
Deep Likelihood Network for Image Restoration with Multiple Degradations. CoRR abs/1904.09105 (2019) - [i18]Ziang Yan, Yiwen Guo, Changshui Zhang:
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks. CoRR abs/1906.04392 (2019) - [i17]Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang:
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues. CoRR abs/1909.00421 (2019) - [i16]Jiang Lu, Lei Li, Changshui Zhang:
Self-reinforcing Unsupervised Matching. CoRR abs/1909.04138 (2019) - [i15]Ziang Yan, Yiwen Guo, Changshui Zhang:
Adversarial Margin Maximization Networks. CoRR abs/1911.05916 (2019) - 2018
- [j127]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust finite mixture regression for heterogeneous targets. Data Min. Knowl. Discov. 32(6): 1509-1560 (2018) - [j126]Chengzhe Yan, Jie Hu, Changshui Zhang:
Deep transformer: A framework for 2D text image rectification from planar transformations. Neurocomputing 289: 32-43 (2018) - [j125]Chongliang Luo, Jian Liang, Gen Li, Fei Wang, Changshui Zhang, Dipak K. Dey, Kun Chen:
Leveraging mixed and incomplete outcomes via reduced-rank modeling. J. Multivar. Anal. 167: 378-394 (2018) - [j124]Jiang Lu, Jin Li, Ziang Yan, Fenghua Mei, Changshui Zhang:
Attribute-Based Synthetic Network (ABS-Net): Learning more from pseudo feature representations. Pattern Recognit. 80: 129-142 (2018) - [j123]Chengzhe Yan, Kailun Wu, Changshui Zhang:
A New Anchor-Labeling Method For Oriented Text Detection Using Dense Detection Framework. IEEE Signal Process. Lett. 25(9): 1295-1299 (2018) - [j122]Rui Lu, Zhiyao Duan, Changshui Zhang:
Listen and Look: Audio-Visual Matching Assisted Speech Source Separation. IEEE Signal Process. Lett. 25(9): 1315-1319 (2018) - [j121]Changshui Zhang:
Top Downloads in IEEE Xplore [Reader's Choice]. IEEE Signal Process. Mag. 35(4): 8-10 (2018) - [j120]Daqing Chang, Ming Lin, Changshui Zhang:
On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5008-5019 (2018) - [j119]Kun Fu, Jin Li, Junqi Jin, Changshui Zhang:
Image-Text Surgery: Efficient Concept Learning in Image Captioning by Generating Pseudopairs. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5910-5921 (2018) - [j118]Dejun Chu, Rui Lu, Jin Li, Xintong Yu, Changshui Zhang, Qing Tao:
Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6264-6275 (2018) - [c202]Rui Lu, Zhiyao Duan, Changshui Zhang:
Multi-Scale Recurrent Neural Network for Sound Event Detection. ICASSP 2018: 131-135 - [c201]Kailun Wu, Changshui Zhang:
Deep Generative Adversarial Networks for the Sparse Signal Denoising. ICPR 2018: 1127-1132 - [c200]Jiang Lu, Zhong Cao, Kailun Wu, Gang Zhang, Changshui Zhang:
Boosting Few-Shot Image Recognition Via Domain Alignment Prototypical Networks. ICTAI 2018: 260-264 - [c199]Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen:
Sparse DNNs with Improved Adversarial Robustness. NeurIPS 2018: 240-249 - [c198]Ziang Yan, Yiwen Guo, Changshui Zhang:
Deep Defense: Training DNNs with Improved Adversarial Robustness. NeurIPS 2018: 417-426 - [c197]Hu Liu, Sheng Jin, Changshui Zhang:
Connectionist Temporal Classification with Maximum Entropy Regularization. NeurIPS 2018: 839-849 - [i14]Ziang Yan, Yiwen Guo, Changshui Zhang:
DeepDefense: Training Deep Neural Networks with Improved Robustness. CoRR abs/1803.00404 (2018) - [i13]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. CoRR abs/1809.06546 (2018) - [i12]Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen:
Sparse DNNs with Improved Adversarial Robustness. CoRR abs/1810.09619 (2018) - [i11]Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang:
Knowledge Distillation from Few Samples. CoRR abs/1812.01839 (2018) - 2017
- [j117]Jiang Lu, Jie Hu, Guannan Zhao, Fenghua Mei, Changshui Zhang:
An in-field automatic wheat disease diagnosis system. Comput. Electron. Agric. 142: 369-379 (2017) - [j116]Wenzheng Hu, Qing Zhuo, Changshui Zhang, Jianke Li:
Fast Branch Convolutional Neural Network for Traffic Sign Recognition. IEEE Intell. Transp. Syst. Mag. 9(3): 114-126 (2017) - [j115]Hang Li, Xiang Bai, Xuanjing Huang, Chang-shui Zhang:
Preface. J. Comput. Sci. Technol. 32(4): 663-666 (2017) - [j114]Tao Zhang, Qing Li, Chang-shui Zhang, Hua-wei Liang, Ping Li, Tianmiao Wang, Shuo Li, Yun-long Zhu, Cheng Wu:
Current trends in the development of intelligent unmanned autonomous systems. Frontiers Inf. Technol. Electron. Eng. 18(1): 68-85 (2017) - [j113]Kun Fu, Junqi Jin, Runpeng Cui, Fei Sha, Changshui Zhang:
Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2321-2334 (2017) - [j112]Dejun Chu, Changshui Zhang, Qing Tao:
A faster cutting plane algorithm with accelerated line search for linear SVM. Pattern Recognit. 67: 127-138 (2017) - [j111]Hana Godrich, Arye Nehorai, Ali Tajer, Maria Sabrina Greco, Changshui Zhang:
Special Article Series on Signal Processing Education via Hands-On and Design Projects [From the Guest Editors]. IEEE Signal Process. Mag. 34(1): 13-15 (2017) - [j110]Qing Zhuo, Yanpin Ren, Yongheng Jiang, Changshui Zhang:
Hands-On Learning Through Racing: Signal processing and engineering education through the China National Collegiate Intelligent Model Car Competition. IEEE Signal Process. Mag. 34(1): 31-39 (2017) - [c196]Runpeng Cui, Hu Liu, Changshui Zhang:
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization. CVPR 2017: 1610-1618 - [c195]Jie Hu, Tszhang Guo, Ji Cao, Changshui Zhang:
End-to-end Chinese text recognition. GlobalSIP 2017: 1407-1411 - [c194]Rui Lu, Kailun Wu, Zhiyao Duan, Changshui Zhang:
Deep ranking: Triplet MatchNet for music metric learning. ICASSP 2017: 121-125 - [c193]Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang:
Learning Efficient Convolutional Networks through Network Slimming. ICCV 2017: 2755-2763 - [c192]Ziang Yan, Chengzhe Yan, Changshui Zhang:
Rare Chinese character recognition by Radical Extraction Network. SMC 2017: 924-929 - [c191]Chengzhe Yan, Jie Hu, Runpeng Cui, Changshui Zhang:
Robust text image alignment with template for information retrieval. SMC 2017: 1874-1879 - [c190]Rui Lu, Zhiyao Duan, Changshui Zhang:
Metric learning based data augmentation for environmental sound classification. WASPAA 2017: 1-5 - [i10]Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Changshui Zhang:
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm. CoRR abs/1702.08740 (2017) - [i9]Jiang Lu, Jin Li, Ziang Yan, Changshui Zhang:
Zero-Shot Learning by Generating Pseudo Feature Representations. CoRR abs/1703.06389 (2017) - [i8]Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang:
Learning Efficient Convolutional Networks through Network Slimming. CoRR abs/1708.06519 (2017) - [i7]Jiang Lu, Jie Hu, Guannan Zhao, Fenghua Mei, Changshui Zhang:
An In-field Automatic Wheat Disease Diagnosis System. CoRR abs/1710.08299 (2017) - [i6]Shiliang Sun, Changshui Zhang, Yi Zhang:
Traffic Flow Forecasting Using a Spatio-Temporal Bayesian Network Predictor. CoRR abs/1712.08883 (2017) - 2016
- [j109]Zhaohui Wu, Yongdi Zhou, Zhongzhi Shi, Changshui Zhang, Guanglin Li, Xiaoxiang Zheng, Nenggan Zheng, Gang Pan:
Cyborg Intelligence: Recent Progress and Future Directions. IEEE Intell. Syst. 31(6): 44-50 (2016) - [j108]Ming Lin, Lijun Zhang, Rong Jin, Shifeng Weng, Changshui Zhang:
Online kernel learning with nearly constant support vectors. Neurocomputing 179: 26-36 (2016) - [j107]Hongwei Qin, Xiu Li, Jian Liang, YiGang Peng, Changshui Zhang:
DeepFish: Accurate underwater live fish recognition with a deep architecture. Neurocomputing 187: 49-58 (2016) - [j106]Min Wu, Adi Hajj-Ahmad, Matthias Kirchner, Yanpin Ren, Changshui Zhang, Patrizio Campisi:
Location Signatures That You Don't See: Highlights from the IEEE Signal Processing Cup 2016 Student Competition [SP Education]. IEEE Signal Process. Mag. 33(5): 149-156 (2016) - [j105]Zhenwei Shi, Zhengxia Zou, Changshui Zhang:
Real-Time Traffic Light Detection With Adaptive Background Suppression Filter. IEEE Trans. Intell. Transp. Syst. 17(3): 690-700 (2016) - [c189]Jian Liang, Rui Lu, Changshui Zhang, Fei Wang:
Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy. ICHI 2016: 184-191 - [c188]Jian Liang, Rui Lu, Changshui Zhang, Fei Wang:
Poster Paper: Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy. ICHI 2016: 315 - [c187]Zhigang Wang, Zeng-Shun Zhao, Changshui Zhang:
Learning with only multiple instance positive bags. IJCNN 2016: 334-341 - [i5]Chengzhe Yan, Jie Hu, Changshui Zhang:
A DNN Framework For Text Image Rectification From Planar Transformations. CoRR abs/1611.04298 (2016) - 2015
- [j104]Shiming Xiang, Gaofeng Meng, Ying Wang, Chunhong Pan, Changshui Zhang:
Image Deblurring with Coupled Dictionary Learning. Int. J. Comput. Vis. 114(2-3): 248-271 (2015) - [j103]Zhigang Wang, Zeng-Shun Zhao, Shifeng Weng, Changshui Zhang:
Solving one-class problem with outlier examples by SVM. Neurocomputing 149: 100-105 (2015) - [j102]Zheng Pan, Ming Lin, Guangdong Hou, Changshui Zhang:
Damping proximal coordinate descent algorithm for non-convex regularization. Neurocomputing 152: 151-163 (2015) - [j101]Guangdong Hou, Runpeng Cui, Zheng Pan, Changshui Zhang:
Tree-based compact hashing for approximate nearest neighbor search. Neurocomputing 166: 271-281 (2015) - [j100]Zhigang Wang, Zeng-Shun Zhao, Shifeng Weng, Changshui Zhang:
Incremental multiple instance outlier detection. Neural Comput. Appl. 26(4): 957-968 (2015) - [j99]Zheng Pan, Changshui Zhang:
Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression. Pattern Recognit. 48(1): 231-243 (2015) - [j98]Ming Lin, Fei Wang, Changshui Zhang:
Large-scale eigenvector approximation via Hilbert Space Embedding Nyström. Pattern Recognit. 48(5): 1904-1912 (2015) - [j97]Zhenyu An, Zhenwei Shi, Ying Wu, Changshui Zhang:
A novel unsupervised approach to discovering regions of interest in traffic images. Pattern Recognit. 48(8): 2581-2591 (2015) - [j96]Wei Tang, Zhenwei Shi, Ying Wu, Changshui Zhang:
Sparse Unmixing of Hyperspectral Data Using Spectral A Priori Information. IEEE Trans. Geosci. Remote. Sens. 53(2): 770-783 (2015) - [j95]Zhen Hu, Ming Lin, Changshui Zhang:
Dependent Online Kernel Learning With Constant Number of Random Fourier Features. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2464-2476 (2015) - [c186]Weishen Pan, Guangdong Hou, Changshui Zhang:
Automatic Methods for Screening and Assessing Scoliosis by 2-D Digital Images. IScIDE (1) 2015: 392-400 - [c185]Yanglei Song, Yifei Yang, Weibei Dou, Changshui Zhang:
Graph-Based Semi-Supervised Learning on Evolutionary Data. IScIDE (2) 2015: 467-476 - [c184]Guangdong Hou, Runpeng Cui, Changshui Zhang:
A Real-Time Hand Pose Estimation System with Retrieval. SMC 2015: 1738-1744 - [c183]Runpeng Cui, Guangdong Hou, Changshui Zhang:
Visual Tracking via Part-Based Model with Auxiliary Objects. SMC 2015: 3004-3010 - [i4]Junqi Jin, Kun Fu, Runpeng Cui, Fei Sha, Changshui Zhang:
Aligning where to see and what to tell: image caption with region-based attention and scene factorization. CoRR abs/1506.06272 (2015) - 2014
- [j94]Yanning Zhang, Zhi-Hua Zhou, Changshui Zhang:
Special issue on the Sino-foreign-interchange workshop on intelligence science and intelligent data engineering. Neurocomputing 134: 1-2 (2014) - [j93]Jiao Long, Zhenwei Shi, Wei Tang, Changshui Zhang:
Single Remote Sensing Image Dehazing. IEEE Geosci. Remote. Sens. Lett. 11(1): 59-63 (2014) - [j92]Chenping Hou, Feiping Nie, Hua Wang, Dongyun Yi, Changshui Zhang:
Learning high-dimensional correspondence via manifold learning and local approximation. Neural Comput. Appl. 24(7-8): 1555-1568 (2014) - [j91]Chenping Hou, Feiping Nie, Changshui Zhang, Dongyun Yi, Yi Wu:
Multiple rank multi-linear SVM for matrix data classification. Pattern Recognit. 47(1): 454-469 (2014) - [j90]Jingdong Wang, Huaizu Jiang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan:
Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation. IEEE Trans. Image Process. 23(4): 1909-1922 (2014) - [j89]Junqi Jin, Kun Fu, Changshui Zhang:
Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks. IEEE Trans. Intell. Transp. Syst. 15(5): 1991-2000 (2014) - [c182]Peng He, Changshui Zhang:
Non-Asymptotic Analysis of Relational Learning with One Network. AISTATS 2014: 320-327 - [c181]Peng He, Changshui Zhang:
Exploiting the Limits of Structure Learning via Inherent Symmetry. AISTATS 2014: 328-337 - [c180]Zhen Hu, Wenzheng Hu, Changshui Zhang:
Training Deep Belief Network with Sparse Hidden Units. CCPR (1) 2014: 11-20 - [c179]Guangdong Hou, Daqing Chang, Changshui Zhang:
Hand segmentation with metric learning superpixels. ChinaSIP 2014: 455-459 - [c178]Lyndsey C. Pickup, Zheng Pan, Donglai Wei, Yi-Chang Shih, Changshui Zhang, Andrew Zisserman, Bernhard Schölkopf, William T. Freeman:
Seeing the Arrow of Time. CVPR 2014: 2043-2050 - [c177]Shaofeng Hu, Jiangtao Ren, Changshui Zhang, Chaogui Zhang:
Domain Transfer via Multiple Sources Regularization. PAKDD (2) 2014: 522-533 - [c176]Ming Lin, Rong Jin, Changshui Zhang:
Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property. UAI 2014: 505-514 - 2013
- [j88]Chenping Hou, Feiping Nie, Yuanyuan Jiao, Changshui Zhang, Yi Wu:
Learning a subspace for clustering via pattern shrinking. Inf. Process. Manag. 49(4): 871-883 (2013) - [j87]Pinghua Gong, Jieping Ye, Changshui Zhang:
Multi-stage multi-task feature learning. J. Mach. Learn. Res. 14(1): 2979-3010 (2013) - [j86]Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu:
Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning. Neural Comput. Appl. 23(2): 541-559 (2013) - [j85]Ming Lin, Shifeng Weng, Changshui Zhang:
On the Sample Complexity of Random Fourier Features for Online Learning: How Many Random Fourier Features Do We Need? ACM Trans. Knowl. Discov. Data 8(3): 13:1-13:19 (2013) - [c175]Chengru Song, Shifeng Weng, Changshui Zhang:
Automatic Elements Extraction of Chinese Web News Using Prior Information of Content and Structure. ACPR 2013: 340-345 - [c174]Zheng Pan, Changshui Zhang:
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers. AISTATS 2013: 481-488 - [c173]Zhiqiang Zhang, Changshui Zhang, Shifeng Weng:
Music playlist prediction via detecting song moods. ChinaSIP 2013: 174-178 - [c172]Han Li, Kun Gai, Pinghua Gong, Changshui Zhang:
Efficient blind separation of reflection layers with nonparametric transformations. ICASSP 2013: 1641-1645 - [c171]Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye:
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. ICML (2) 2013: 37-45 - [c170]Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu, Shifeng Weng:
Robust non-negative matrix factorization via joint sparse and graph regularization. IJCNN 2013: 1-5 - [c169]Daqing Chang, Changshui Zhang, Shifeng Weng:
Methods for Photomosaic Generation Based on Different Image Similarity and Division Strategies. IScIDE 2013: 682-690 - [c168]Zhigang Wang, Zeng-Shun Zhao, Changshui Zhang:
SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples. ISNN (1) 2013: 283-290 - [i3]Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye:
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. CoRR abs/1303.4434 (2013) - [i2]Zheng Pan, Changshui Zhang:
A Theory of High-dimensional Sparse Estimation via Non-Convex Regularized Regression. CoRR abs/1306.3343 (2013) - 2012
- [j84]Liqing Zhang, James Tin-Yau Kwok, Changshui Zhang:
A brief introduction to the special issue for ISNN2010. Neurocomputing 76(1): 1 (2012) - [j83]Zeng-Shun Zhao, Li Zhang, Meng Zhao, Zeng-Guang Hou, Changshui Zhang:
Gabor face recognition by multi-channel classifier fusion of supervised kernel manifold learning. Neurocomputing 97: 398-404 (2012) - [j82]Shizhun Yang, Ming Lin, Chenping Hou, Changshui Zhang, Yi Wu:
A general framework for transfer sparse subspace learning. Neural Comput. Appl. 21(7): 1801-1817 (2012) - [j81]Kun Gai, Zhenwei Shi, Changshui Zhang:
Blind Separation of Superimposed Moving Images Using Image Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 19-32 (2012) - [j80]Shiming Xiang, Gaofeng Meng, Ying Wang, Chunhong Pan, Changshui Zhang:
Image deblurring with matrix regression and gradient evolution. Pattern Recognit. 45(6): 2164-2179 (2012) - [j79]Pinghua Gong, Changshui Zhang:
Efficient Nonnegative Matrix Factorization via projected Newton method. Pattern Recognit. 45(9): 3557-3565 (2012) - [j78]Feiping Nie, Shiming Xiang, Yun Liu, Chenping Hou, Changshui Zhang:
Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction. Pattern Recognit. Lett. 33(5): 485-491 (2012) - [j77]Shiming Xiang, Feiping Nie, Gaofeng Meng, Chunhong Pan, Changshui Zhang:
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1738-1754 (2012) - [c167]Pinghua Gong, Changshui Zhang:
Efficient Multi-Stage Conjugate Gradient for Trust Region Step. AAAI 2012: 921-928 - [c166]Xiaoqiang Zhu, Pinghua Gong, Zeng-Shun Zhao, Changshui Zhang:
Learning similarity metric with SVM. IJCNN 2012: 1-8 - [c165]Pinghua Gong, Jieping Ye, Changshui Zhang:
Robust multi-task feature learning. KDD 2012: 895-903 - [c164]Pinghua Gong, Jieping Ye, Changshui Zhang:
Multi-Stage Multi-Task Feature Learning. NIPS 2012: 1997-2005 - [e3]Cheng-Lin Liu, Changshui Zhang, Liang Wang:
Pattern Recognition - Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings. Communications in Computer and Information Science 321, Springer 2012, ISBN 978-3-642-33505-1 [contents] - [e2]Yanning Zhang, Zhi-Hua Zhou, Changshui Zhang, Ying Li:
Intelligent Science and Intelligent Data Engineering - Second Sino-foreign-interchange Workshop, IScIDE 2011, Xi'an, China, October 23-25, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7202, Springer 2012, ISBN 978-3-642-31918-1 [contents] - [i1]Han Li, Kun Gai, Pinghua Gong, Changshui Zhang:
Efficient Superimposition Recovering Algorithm. CoRR abs/1211.4307 (2012) - 2011
- [j76]Jianwen Zhang, Changshui Zhang:
Multitask Bregman clustering. Neurocomputing 74(10): 1720-1734 (2011) - [j75]Pinghua Gong, Kun Gai, Changshui Zhang:
Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection. Neurocomputing 74(17): 2754-2766 (2011) - [j74]Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang:
Semi-supervised ranking aggregation. Inf. Process. Manag. 47(3): 415-425 (2011) - [j73]Zheng Wang, Shuicheng Yan, Changshui Zhang:
Active learning with adaptive regularization. Pattern Recognit. 44(10-11): 2375-2383 (2011) - [j72]Shiming Xiang, Chunhong Pan, Feiping Nie, Changshui Zhang:
Interactive Image Segmentation With Multiple Linear Reconstructions in Windows. IEEE Trans. Multim. 13(2): 342-352 (2011) - [j71]Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu:
Semisupervised Learning Using Negative Labels. IEEE Trans. Neural Networks 22(3): 420-432 (2011) - [j70]Fei Wang, Bin Zhao, Changshui Zhang:
Unsupervised Large Margin Discriminative Projection. IEEE Trans. Neural Networks 22(9): 1446-1456 (2011) - [j69]Feiping Nie, Zinan Zeng, Ivor W. Tsang, Dong Xu, Changshui Zhang:
Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering. IEEE Trans. Neural Networks 22(11): 1796-1808 (2011) - [j68]Sos S. Agaian, Jinshan Tang, Sabah Jassim, C. L. Philip Chen, Changshui Zhang, Yongyan Cao:
Guest Editorial Introduction to the Special Issue on Pattern Recognition Technologies for Anti-Terrorism Applications. IEEE Trans. Syst. Man Cybern. Part C 41(5): 561-564 (2011) - [j67]Shiming Xiang, Feiping Nie, Chunhong Pan, Changshui Zhang:
Regression Reformulations of LLE and LTSA With Locally Linear Transformation. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1250-1262 (2011) - [c163]Shaoze Lei, Changshui Zhang:
Solve JIGSAW puzzle problems with Co-Normalization. DSP 2011: 1-6 - [c162]Jian Cheng, Changshui Zhang, Yi-Nan Guo:
Patterns classification of nonlinear multi-dimensional time series based on manifold learning. ICNC 2011: 373-377 - [c161]Pinghua Gong, Changshui Zhang:
A Fast Dual Projected Newton Method for l1-Regularized Least Squares. IJCAI 2011: 1275-1280 - [c160]Shaoze Lei, Jianwen Zhang, Shifeng Weng, Changshui Zhang:
Topic model with constrainted word burstiness intensities. IJCNN 2011: 68-74 - [c159]Tao Ban, Changshui Zhang, Shigeo Abe, Takeshi Takahashi, Youki Kadobayashi:
Mining interlacing manifolds in high dimensional spaces. SAC 2011: 942-949 - 2010
- [j66]Changshui Zhang, Qutang Cai, Yangqiu Song:
Boosting with pairwise constraints. Neurocomputing 73(4-6): 908-919 (2010) - [j65]Changshui Zhang, Feiping Nie, Shiming Xiang:
A general kernelization framework for learning algorithms based on kernel PCA. Neurocomputing 73(4-6): 959-967 (2010) - [j64]Shijun Wang, Changshui Zhang:
Collaborative Learning by Boosting in Distributed Environments. Int. J. Pattern Recognit. Artif. Intell. 24(5): 763-789 (2010) - [j63]Feiping Nie, Shiming Xiang, Yun Liu, Changshui Zhang:
A general graph-based semi-supervised learning with novel class discovery. Neural Comput. Appl. 19(4): 549-555 (2010) - [j62]Shiming Xiang, Feiping Nie, Changshui Zhang:
Semi-Supervised Classification via Local Spline Regression. IEEE Trans. Pattern Anal. Mach. Intell. 32(11): 2039-2053 (2010) - [j61]Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang:
Interactive localized content based image retrieval with multiple-instance active learning. Pattern Recognit. 43(2): 478-484 (2010) - [j60]Chenping Hou, Changshui Zhang, Yi Wu, Feiping Nie:
Multiple view semi-supervised dimensionality reduction. Pattern Recognit. 43(3): 720-730 (2010) - [j59]Changshui Zhang, Fei Wang:
A multilevel approach for learning from labeled and unlabeled data on graphs. Pattern Recognit. 43(6): 2301-2314 (2010) - [j58]Zhiyao Duan, Bryan Pardo, Changshui Zhang:
Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions. IEEE Trans. Speech Audio Process. 18(8): 2121-2133 (2010) - [j57]Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changshui Zhang:
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction. IEEE Trans. Image Process. 19(7): 1921-1932 (2010) - [j56]Shiming Xiang, Chunhong Pan, Feiping Nie, Changshui Zhang:
TurboPixel Segmentation Using Eigen-Images. IEEE Trans. Image Process. 19(11): 3024-3034 (2010) - [j55]Fei Wang, Bin Zhao, Changshui Zhang:
Linear time maximum margin clustering. IEEE Trans. Neural Networks 21(2): 319-332 (2010) - [c158]Shuo Chen, Jianwen Zhang, Guangyun Chen, Changshui Zhang:
What if the Irresponsible Teachers Are Dominating? AAAI 2010: 419-424 - [c157]Kun Gai, Changshui Zhang:
Learning Discriminative Piecewise Linear Models with Boundary Points. AAAI 2010: 444-450 - [c156]Jianwen Zhang, Changshui Zhang:
Multitask Bregman Clustering. AAAI 2010: 655-660 - [c155]Jiawei Lv, Jianwen Zhang, Fei Wang, Zheng Wang, Changshui Zhang:
Compressed Learning with Regular Concept. ALT 2010: 163-178 - [c154]Zheng Wang, Jiashi Feng, Changshui Zhang, Shuicheng Yan:
Learning to rank tags. CIVR 2010: 42-49 - [c153]Zheng Wang, Yangqiu Song, Changshui Zhang:
Homotopy Regularization for Boosting. ICDM 2010: 1115-1120 - [c152]Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shixia Liu:
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora. KDD 2010: 1079-1088 - [c151]Kun Gai, Guangyun Chen, Changshui Zhang:
Learning Kernels with Radiuses of Minimum Enclosing Balls. NIPS 2010: 649-657
2000 – 2009
- 2009
- [j54]Changshui Zhang, Fei Wang:
Graph-based semi-supervised learning. Artif. Life Robotics 14(4): 445-448 (2009) - [j53]Qutang Cai, Changshui Zhang, Chunyi Peng:
Analysis of classification margin for classification accuracy with applications. Neurocomputing 72(7-9): 1960-1968 (2009) - [j52]Gang Chen, Fei Wang, Changshui Zhang:
Collaborative filtering using orthogonal nonnegative matrix tri-factorization. Inf. Process. Manag. 45(3): 368-379 (2009) - [j51]Tao Ban, Changshui Zhang, Shigeo Abe:
A new approach to discover interlacing data structures in high-dimensional space. J. Intell. Inf. Syst. 33(1): 3-22 (2009) - [j50]Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang:
Embedding new data points for manifold learning via coordinate propagation. Knowl. Inf. Syst. 19(2): 159-184 (2009) - [j49]Changshui Zhang, Feiping Nie, Shiming Xiang, Chenping Hou:
Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations. Neural Process. Lett. 30(2): 89-102 (2009) - [j48]Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang, Shiming Xiang, Dan Zhang:
Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. Pattern Anal. Appl. 12(2): 99-115 (2009) - [j47]Jingdong Wang, Fei Wang, Changshui Zhang, Helen C. Shen, Long Quan:
Linear Neighborhood Propagation and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1600-1615 (2009) - [j46]Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang:
Extracting the optimal dimensionality for local tensor discriminant analysis. Pattern Recognit. 42(1): 105-114 (2009) - [j45]Yangqing Jia, Changshui Zhang:
Front-view vehicle detection by Markov chain Monte Carlo method. Pattern Recognit. 42(3): 313-321 (2009) - [j44]Zhenwei Shi, Changshui Zhang:
Fast nonlinear autocorrelation algorithm for source separation. Pattern Recognit. 42(9): 1732-1741 (2009) - [j43]Chenping Hou, Changshui Zhang, Yi Wu, Yuanyuan Jiao:
Stable local dimensionality reduction approaches. Pattern Recognit. 42(9): 2054-2066 (2009) - [j42]Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang:
Semi-supervised orthogonal discriminant analysis via label propagation. Pattern Recognit. 42(11): 2615-2627 (2009) - [j41]Fei Wang, Xin Wang, Daoqiang Zhang, Changshui Zhang, Tao Li:
marginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognit. 42(11): 2863-2875 (2009) - [j40]Chenping Hou, Feiping Nie, Changshui Zhang, Yi Wu:
Learning an Orthogonal and Smooth Subspace for Image Classification. IEEE Signal Process. Lett. 16(4): 303-306 (2009) - [j39]Shiming Xiang, Feiping Nie, Chunxia Zhang, Changshui Zhang:
Interactive Natural Image Segmentation via Spline Regression. IEEE Trans. Image Process. 18(7): 1623-1632 (2009) - [j38]Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang:
Nonlinear Dimensionality Reduction with Local Spline Embedding. IEEE Trans. Knowl. Data Eng. 21(9): 1285-1298 (2009) - [j37]Fei Wang, Changshui Zhang, Tao Li:
Clustering with Local and Global Regularization. IEEE Trans. Knowl. Data Eng. 21(12): 1665-1678 (2009) - [j36]Yangqing Jia, Feiping Nie, Changshui Zhang:
Trace Ratio Problem Revisited. IEEE Trans. Neural Networks 20(4): 729-735 (2009) - [j35]Bin Zhao, Fei Wang, Changshui Zhang:
Block-Quantized Support Vector Ordinal Regression. IEEE Trans. Neural Networks 20(5): 882-890 (2009) - [c150]Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang:
Instance- and bag-level manifold regularization for aggregate outputs classification. CIKM 2009: 1593-1596 - [c149]Mingjie Qian, Feiping Nie, Changshui Zhang:
Efficient multi-class unlabeled constrained semi-supervised SVM. CIKM 2009: 1665-1668 - [c148]Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang:
Unsupervised Maximum Margin Feature Selection with manifold regularization. CVPR 2009: 888-895 - [c147]Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao:
Efficient multi-label classification with hypergraph regularization. CVPR 2009: 1658-1665 - [c146]Kun Gai, Zhenwei Shi, Changshui Zhang:
Blind separation of superimposed images with unknown motions. CVPR 2009: 1881-1888 - [c145]Guangyun Chen, Gang Chen, Jianwen Zhang, Shuo Chen, Changshui Zhang:
Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model. ICDM 2009: 71-80 - [c144]Bin Zhao, Changshui Zhang:
Compressed Spectral Clustering. ICDM Workshops 2009: 344-349 - [c143]Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang:
Kernel K-means Based Framework for Aggregate Outputs Classification. ICDM Workshops 2009: 356-361 - [c142]Mingjie Qian, Feiping Nie, Changshui Zhang:
Probabilistic Labeled Semi-supervised SVM. ICDM Workshops 2009: 394-399 - [c141]Bin Zhao, James Tin-Yau Kwok, Changshui Zhang:
Maximum Margin Clustering with Multivariate Loss Function. ICDM 2009: 637-646 - [c140]Bin Liu, Shuo Chen, Mingjie Qian, Changshui Zhang:
Sparse Norm-Regularized Reconstructive Coefficients Learning. ICDM 2009: 854-859 - [c139]Shuo Chen, Changshui Zhang:
Selecting Informative Universum Sample for Semi-Supervised Learning. IJCAI 2009: 1016-1021 - [c138]Yangqing Jia, Shuicheng Yan, Changshui Zhang:
Semi-Supervised Classification on Evolutionary Data. IJCAI 2009: 1083-1088 - [c137]Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang:
Spectral Embedded Clustering. IJCAI 2009: 1181-1186 - [c136]Zheng Wang, Yangqiu Song, Changshui Zhang:
Knowledge Transfer on Hybrid Graph. IJCAI 2009: 1291-1296 - [c135]Jianwen Zhang, Yangqiu Song, Gang Chen, Changshui Zhang:
On-line Evolutionary Exponential Family Mixture. IJCAI 2009: 1610-1615 - [c134]Shijun Wang, Ronald M. Summers, Changshui Zhang:
A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography. IJCNN 2009: 3251-3258 - [c133]Bin Zhao, James T. Kwok, Changshui Zhang:
Multiple Kernel Clustering. SDM 2009: 638-649 - [c132]Zheng Wang, Yangqiu Song, Changshui Zhang:
Efficient Active Learning with Boosting. SDM 2009: 1232-1243 - 2008
- [j34]Zhenwei Shi, Dan Zhang, Changshui Zhang:
MACBSE: Extracting signals with linear autocorrelations. Neurocomputing 71(4-6): 1082-1091 (2008) - [j33]Shiliang Sun, Changshui Zhang, Yue Lu:
The random electrode selection ensemble for EEG signal classification. Pattern Recognit. 41(5): 1663-1675 (2008) - [j32]Yangqiu Song, Feiping Nie, Changshui Zhang, Shiming Xiang:
A unified framework for semi-supervised dimensionality reduction. Pattern Recognit. 41(9): 2789-2799 (2008) - [j31]Shiming Xiang, Feiping Nie, Changshui Zhang:
Learning a Mahalanobis distance metric for data clustering and classification. Pattern Recognit. 41(12): 3600-3612 (2008) - [j30]Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang:
Contour graph based human tracking and action sequence recognition. Pattern Recognit. 41(12): 3653-3664 (2008) - [j29]Yangqiu Song, Feiping Nie, Changshui Zhang:
Semi-supervised sub-manifold discriminant analysis. Pattern Recognit. Lett. 29(13): 1806-1813 (2008) - [j28]Zhiyao Duan, Yungang Zhang, Changshui Zhang, Zhenwei Shi:
Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling. IEEE Trans. Speech Audio Process. 16(4): 766-778 (2008) - [j27]Fei Wang, Changshui Zhang:
Label Propagation through Linear Neighborhoods. IEEE Trans. Knowl. Data Eng. 20(1): 55-67 (2008) - [j26]Yangqiu Song, Changshui Zhang:
Content-Based Information Fusion for Semi-Supervised Music Genre Classification. IEEE Trans. Multim. 10(1): 145-152 (2008) - [j25]Fei Wang, Changshui Zhang:
Semisupervised Learning Based on Generalized Point Charge Models. IEEE Trans. Neural Networks 19(7): 1307-1311 (2008) - [c131]Yangqing Jia, Changshui Zhang:
Instance-level Semisupervised Multiple Instance Learning. AAAI 2008: 640-645 - [c130]Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan:
Trace Ratio Criterion for Feature Selection. AAAI 2008: 671-676 - [c129]Fei Wang, Changshui Zhang:
On Discriminative Semi-Supervised Classification. AAAI 2008: 720-725 - [c128]Fei Wang, Tao Li, Gang Wang, Changshui Zhang:
Semi-supervised Classification Using Local and Global Regularization. AAAI 2008: 726-731 - [c127]Dan Zhang, Fei Wang, Changshui Zhang, Tao Li:
Multi-View Local Learning. AAAI 2008: 752-757 - [c126]Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang:
Semi-supervised ranking aggregation. CIKM 2008: 1427-1428 - [c125]Fei Wang, Shouchun Chen, Changshui Zhang, Tao Li:
Semi-supervised metric learning by maximizing constraint margin. CIKM 2008: 1457-1458 - [c124]Jingyu Cui, Qiong Yang, Fang Wen, Qiying Wu, Changshui Zhang, Luc Van Gool, Xiaoou Tang:
Transductive object cutout. CVPR 2008 - [c123]Kun Gai, Zhenwei Shi, Changshui Zhang:
Blindly separating mixtures of multiple layers with spatial shifts. CVPR 2008 - [c122]Jingdong Wang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan:
Normalized tree partitioning for image segmentation. CVPR 2008 - [c121]Jingyu Cui, Changshui Zhang:
Towards optimal query design for relevance feedback in image retrieval. ICASSP 2008: 1225-1228 - [c120]Bin Zhao, Fei Wang, Changshui Zhang, Yangqiu Song:
Active model selection for Graph-Based Semi-Supervised Learning. ICASSP 2008: 1881-1884 - [c119]Qu-Tang Cai, Yangqiu Song, Chang-shui Zhang:
Cost-sensitive boosting algorithms as gradient descent. ICASSP 2008: 2009-2012 - [c118]Qu-Tang Cai, Chunyi Peng, Chang-shui Zhang:
A weighted subspace approach for improving bagging performance. ICASSP 2008: 3341-3344 - [c117]Bin Zhao, Fei Wang, Changshui Zhang:
Maximum Margin Embedding. ICDM 2008: 1127-1132 - [c116]Yalin Zheng, Guang Yang, Changshui Zhang, Jing Zheng, Yunpeng Xu:
Equivalence Knowledge Mass and Approximate Reasoning in -Logic (I). ICIC (2) 2008: 391-400 - [c115]Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang:
Localized content based image retrieval by multiple instance active learning. ICIP 2008: 921-924 - [c114]Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua:
Augmented tree partitioning for interactive image segmentation. ICIP 2008: 2292-2295 - [c113]Yangqing Jia, Changshui Zhang:
Learning distance metric for semi-supervised image segmentation. ICIP 2008: 3204-3207 - [c112]Zhiyao Duan, Lie Lu, Changshui Zhang:
Audio tonality mode classification without tonic annotations. ICME 2008: 1361-1364 - [c111]Bin Zhao, Fei Wang, Changshui Zhang:
Efficient multiclass maximum margin clustering. ICML 2008: 1248-1255 - [c110]Yangqing Jia, Changshui Zhang:
Local Regularized Least-Square Dimensionality Reduction. ICPR 2008: 1-4 - [c109]Shijun Wang, Changshui Zhang:
Collaborative learning by boosting in distributed environments. ICPR 2008: 1-4 - [c108]Zhiyao Duan, Lie Lu, Changshui Zhang:
Collective Annotation of Music from Multiple Semantic Categories. ISMIR 2008: 237-242 - [c107]Bin Zhao, Fei Wang, Changshui Zhang:
Cuts3vm: a fast semi-supervised svm algorithm. KDD 2008: 830-838 - [c106]Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua:
Finding image exemplars using fast sparse affinity propagation. ACM Multimedia 2008: 639-642 - [c105]Zheng Wang, Yangqiu Song, Changshui Zhang:
Transferred Dimensionality Reduction. ECML/PKDD (2) 2008: 550-565 - [c104]Yangqing Jia, Zheng Wang, Changshui Zhang:
Distortion-Free Nonlinear Dimensionality Reduction. ECML/PKDD (1) 2008: 564-579 - [c103]Fei Wang, Tao Li, Changshui Zhang:
Semi-Supervised Clustering via Matrix Factorization. SDM 2008: 1-12 - [c102]Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhang:
Semi-Supervised Classification with Universum. SDM 2008: 323-333 - [c101]Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang:
Semi-supervised Multi-label Learning by Solving a Sylvester Equation. SDM 2008: 410-419 - [c100]Bin Zhao, Fei Wang, Changshui Zhang:
Efficient Maximum Margin Clustering via Cutting Plane Algorithm. SDM 2008: 751-762 - 2007
- [j24]Zhenwei Shi, Changshui Zhang:
Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation. Neurocomputing 70(7-9): 1574-1581 (2007) - [j23]Fei Wang, Changshui Zhang:
Robust self-tuning semi-supervised learning. Neurocomputing 70(16-18): 2931-2939 (2007) - [j22]Zhenwei Shi, Changshui Zhang:
Nonlinear innovation to blind source separation. Neurocomputing 71(1-3): 406-410 (2007) - [j21]Fei Wu, Changshui Zhang, Jingrui He:
An evolutionary system for near-regular texture synthesis. Pattern Recognit. 40(8): 2271-2282 (2007) - [j20]Fei Wang, Jingdong Wang, Changshui Zhang, James T. Kwok:
Face recognition using spectral features. Pattern Recognit. 40(10): 2786-2797 (2007) - [j19]Shiliang Sun, Changshui Zhang, Dan Zhang:
An experimental evaluation of ensemble methods for EEG signal classification. Pattern Recognit. Lett. 28(15): 2157-2163 (2007) - [j18]Zhonglin Lin, Changshui Zhang, Wei Wu, Xiaorong Gao:
Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs. IEEE Trans. Biomed. Eng. 54(6): 1172-1176 (2007) - [j17]Shiliang Sun, Changshui Zhang:
The Selective Random Subspace Predictor for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 8(2): 367-373 (2007) - [j16]Zhenwei Shi, Changshui Zhang:
Blind Source Extraction Using Generalized Autocorrelations. IEEE Trans. Neural Networks 18(5): 1516-1524 (2007) - [c99]Fei Wang, Changshui Zhang, Tao Li:
Clustering with Local and Global Regularization. AAAI 2007: 657-662 - [c98]Dan Zhang, Zhenwei Shi, Yangqiu Song, Changshui Zhang:
Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning. ACCV (1) 2007: 180-188 - [c97]Yangqiu Song, Bin Zhang, Wen Jun Yin, Changshui Zhang, Jin Dong:
Ranking with semi-supervised distance metric learning and its application to housing potential estimation. CIKM 2007: 975-978 - [c96]Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang:
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition. CVPR 2007 - [c95]Fei Wang, Changshui Zhang:
Feature Extraction by Maximizing the Average Neighborhood Margin. CVPR 2007 - [c94]Liang Xiong, Jianguo Li, Changshui Zhang:
Discriminant Additive Tangent Spaces for Object Recognition. CVPR 2007 - [c93]Liang Xiong, Fei Wang, Changshui Zhang:
Semi-definite Manifold Alignment. ECML 2007: 773-781 - [c92]Bin Zhao, Fei Wang, Changshui Zhang:
Smoothness Maximization via Gradient Descents. ICASSP (2) 2007: 609-612 - [c91]Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang:
Extracting the Optimal Dimensionality for Discriminant Analysis. ICASSP (2) 2007: 617-620 - [c90]Yangqiu Song, Changshui Zhang, Shiming Xiang:
Semi-Supervised Music Genre Classification. ICASSP (2) 2007: 729-732 - [c89]Qu-Tang Cai, Chunyi Peng, Chang-shui Zhang:
Analysis of Max-Min Eigenvalue of Constrained Linear Combinations of Symmetric Matrices. ICASSP (3) 2007: 1381-1384 - [c88]Gang Chen, Fei Wang, Changshui Zhang:
Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization. ICDM Workshops 2007: 303-308 - [c87]Liang Xiong, Fei Wang, Changshui Zhang:
Multilevel Belief Propagation for Fast Inference on Markov Random Fields. ICDM 2007: 371-380 - [c86]Shouchun Chen, Fei Wang, Changshui Zhang:
Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships. ICDM Workshops 2007: 387-392 - [c85]Zhiyao Duan, Dan Zhang, Changshui Zhang, Zhenwei Shi:
Multi-Pitch Estimation Based on Partial Event and Support Transfer. ICME 2007: 216-219 - [c84]Zhenwei Shi, Dan Zhang, Changshui Zhang:
A Fixed-Point Algorithm for Blind Separation of Temporally Correlated Sources. ICME 2007: 220-223 - [c83]Jianguo Li, Changshui Zhang, Tao Wang, Yimin Zhang:
Generalized Additive Bayesian Network Classifiers. IJCAI 2007: 913-918 - [c82]Feiping Nie, Shiming Xiang, Changshui Zhang:
Neighborhood MinMax Projections. IJCAI 2007: 993-998 - [c81]Jingyu Cui, Changshui Zhang:
Combining stroke-based and selection-based relevance feedback for content-based image retrieval. ACM Multimedia 2007: 329-332 - [c80]Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang:
Interactive Visual Object Extraction Based on Belief Propagation. MMM (1) 2007: 24-33 - [c79]Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang:
Embedding New Data Points for Manifold Learning Via Coordinate Propagation. PAKDD 2007: 332-343 - [c78]Fei Wang, Changshui Zhang:
Fast Multilevel Transduction on Graphs. SDM 2007: 157-168 - [c77]Fei Wang, Changshui Zhang, Tao Li:
Regularized clustering for documents. SIGIR 2007: 95-102 - [c76]Fei Wang, Shijun Wang, Changshui Zhang, Ole Winther:
Semi-Supervised Mean Fields. AISTATS 2007: 596-603 - 2006
- [j15]Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang:
Manifold-Ranking-Based Keyword Propagation for Image Retrieval. EURASIP J. Adv. Signal Process. 2006 (2006) - [j14]Zhenwei Shi, Changshui Zhang:
Gaussian moments for noisy complexity pursuit. Neurocomputing 69(7-9): 917-921 (2006) - [j13]Shiliang Sun, Changshui Zhang:
An optimal kernel feature extractor and its application to EEG signal classification. Neurocomputing 69(13-15): 1743-1748 (2006) - [j12]Shiliang Sun, Changshui Zhang:
Adaptive feature extraction for EEG signal classification. Medical Biol. Eng. Comput. 44(10): 931-935 (2006) - [j11]Jianguo Lee, Changshui Zhang:
Classification of gene-expression data: The manifold-based metric learning way. Pattern Recognit. 39(12): 2450-2463 (2006) - [j10]Zhonglin Lin, Changshui Zhang, Wei Wu, Xiaorong Gao:
Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs. IEEE Trans. Biomed. Eng. 53(12): 2610-2614 (2006) - [j9]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Generalized Manifold-Ranking-Based Image Retrieval. IEEE Trans. Image Process. 15(10): 3170-3177 (2006) - [j8]Shiliang Sun, Changshui Zhang, Guoqiang Yu:
A bayesian network approach to traffic flow forecasting. IEEE Trans. Intell. Transp. Syst. 7(1): 124-132 (2006) - [c75]Shiming Xiang, Feiping Nie, Changshui Zhang:
Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning. ACCV (1) 2006: 216-225 - [c74]Shiming Xiang, Feiping Nie, Changshui Zhang:
Exemplar-Based Human Contour Tracking. ACCV (1) 2006: 338-347 - [c73]Shiming Xiang, Feiping Nie, Changshui Zhang:
Contour Matching Based on Belief Propagation. ACCV (2) 2006: 489-498 - [c72]Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang:
A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images. CVPR Workshops 2006: 79 - [c71]Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong Wang:
Semi-Supervised Classification Using Linear Neighborhood Propagation. CVPR (1) 2006: 160-167 - [c70]Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang:
Spline Embedding for Nonlinear Dimensionality Reduction. ECML 2006: 825-832 - [c69]Fei Wang, Changshui Zhang:
Label propagation through linear neighborhoods. ICML 2006: 985-992 - [c68]Zhonglin Lin, Changshui Zhang, Xiaorong Gao:
Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition. IJCNN 2006: 4645-4649 - [c67]Qutang Cai, Changshui Zhang:
Estimating Fractal Intrinsic Dimension from the Neighborhood. ISNN (1) 2006: 1312-1318 - [c66]Yunpeng Xu, Xing Yi, Changshui Zhang:
A Random Walks Method for Text Classification. SDM 2006: 340-347 - [c65]Yangqiu Song, Changshui Zhang, Jianguo Lee:
Graph Based Multi-class Semi-supervised Learning Using Gaussian Process. SSPR/SPR 2006: 450-458 - 2005
- [j7]Shifeng Weng, Changshui Zhang, Zhonglin Lin:
Exploring the structure of supervised data by Discriminant Isometric Mapping. Pattern Recognit. 38(4): 599-601 (2005) - [j6]Jianguo Lee, Jingdong Wang, Changshui Zhang, Zhaoqi Bian:
Visual object recognition using probabilistic kernel subspace similarity. Pattern Recognit. 38(7): 997-1008 (2005) - [j5]Baibo Zhang, Changshui Zhang, Xing Yi:
Active curve axis Gaussian mixture models. Pattern Recognit. 38(12): 2351-2362 (2005) - [c64]Rui Ma, Yaxuan Qi, Changshui Zhang, Jiaxin Wang:
Fingerprint Ridge Line Extraction Based on Tracing and Directional Feedback. CIS (1) 2005: 1033-1038 - [c63]Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang:
A Unified Optimization Based Learning Method for Image Retrieval. CVPR (2) 2005: 230-235 - [c62]Shiliang Sun, Changshui Zhang:
Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces. Discovery Science 2005: 215-226 - [c61]Shijun Wang, Zhonglin Lin, Changshui Zhang:
Network Boosting for BCI Applications. Discovery Science 2005: 386-388 - [c60]Yinglong Xia, Changshui Zhang, Shifeng Weng, Rongbin Liu:
Fault-Tolerant EM Algorithm for GMM in Sensor Networks. DMIN 2005: 166-172 - [c59]Shijun Wang, Changshui Zhang:
Network Game and Boosting. ECML 2005: 461-472 - [c58]Yalin Zheng, Changshui Zhang, Yinglong Xia:
Type II Topological Logic C1T and Approximate Reasoning. FSKD (1) 2005: 243-252 - [c57]Yalin Zheng, Changshui Zhang, Xin Yao:
Type-I Topological Logic C1I and Approximate Reasoning. FSKD (1) 2005: 253-262 - [c56]Shiliang Sun, Changshui Zhang, Naijiang Lu:
On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces. FSKD (2) 2005: 638-647 - [c55]Shiliang Sun, Changshui Zhang, Yi Zhang:
Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor. ICANN (2) 2005: 273-278 - [c54]Fei Wang, Changshui Zhang:
Spectral Clustering for Time Series. ICAPR (1) 2005: 345-354 - [c53]Xing Yi, Yunpeng Xu, Changshui Zhang:
Multi-view EM Algorithm for Finite Mixture Models. ICAPR (1) 2005: 420-425 - [c52]Yunpeng Xu, Changshui Zhang, Naijiang Lu:
A Bayesian Method for High-Frequency Restoration of Low Sample-Rate Speech. ICAPR (1) 2005: 544-552 - [c51]Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong:
Boosting Web Image Search by Co-Ranking. ICASSP (2) 2005: 409-412 - [c50]Shiliang Sun, Changshui Zhang:
Assessing features for electroencephalographic signal categorization. ICASSP (5) 2005: 417-420 - [c49]Xin Yao, Changshui Zhang, Jinwen Chen, Yanda Li:
On the Scale-Free Intersection Graphs. ICCSA (2) 2005: 1217-1224 - [c48]Yungang Zhang, Changshui Zhang:
Separation of Voice and Music by Harmonic Structure Stability Analysis. ICME 2005: 562-565 - [c47]Shiliang Sun, Changshui Zhang:
Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting. ICNC (2) 2005: 652-655 - [c46]Fei Wang, Changshui Zhang, Naijiang Lu:
Boosting GMM and Its Two Applications. Multiple Classifier Systems 2005: 12-21 - [c45]Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying Ma, Changshui Zhang:
Multiple random walk and its application in content-based image retrieval. Multimedia Information Retrieval 2005: 151-158 - [c44]Baibo Zhang, Changshui Zhang:
Finite Mixture Models with Negative Components. MLDM 2005: 31-41 - [c43]Shiming Xiang, Changshui Zhang, Xiaoping Chen, Naijiang Lu:
A New Approach to Human Motion Sequence Recognition with Application to Diving Actions. MLDM 2005: 487-496 - [c42]Yinglong Xia, Shifeng Weng, Changshui Zhang, Shao Li:
Mixture Random Effect Model Based Meta-analysis for Medical Data Mining. MLDM 2005: 630-640 - [c41]Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma:
Graph based multi-modality learning. ACM Multimedia 2005: 862-871 - [c40]Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma:
Learning No-Reference Quality Metric by Examples. MMM 2005: 247-254 - [c39]Yungang Zhang, Changshui Zhang:
Separation of Music Signals by Harmonic Structure Modeling. NIPS 2005: 1617-1624 - [c38]Rongbin Liu, Changshui Zhang, Yinglong Xia:
Importance Feature Sampling in Random Subspace. VISION 2005: 192-197 - [e1]Yanxi Liu, Tianzi Jiang, Changshui Zhang:
Computer Vision for Biomedical Image Applications, First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings. Lecture Notes in Computer Science 3765, Springer 2005, ISBN 3-540-29411-2 [contents] - 2004
- [j4]Baibo Zhang, Changshui Zhang, Xing Yi:
Competitive EM algorithm for finite mixture models. Pattern Recognit. 37(1): 131-144 (2004) - [j3]Yungang Zhang, Changshui Zhang, David Zhang:
Distance metric learning by knowledge embedding. Pattern Recognit. 37(1): 161-163 (2004) - [j2]Changshui Zhang, Jun Wang, Nanyuan Zhao, David Zhang:
Reconstruction and analysis of multi-pose face images based on nonlinear dimensionality reduction. Pattern Recognit. 37(2): 325-336 (2004) - [j1]Yungang Zhang, Changshui Zhang, David Zhang:
Erratum to "Distance metric learning by knowledge embedding" [Pattern Recognition 37(1)161-163(2004)]. Pattern Recognit. 37(4): 855 (2004) - [c37]Yonglei Zhou, Changshui Zhang, Jingchun Wang:
Tunable Nearest Neighbor Classifier. DAGM-Symposium 2004: 204-211 - [c36]Shiliang Sun, Changshui Zhang, Guoqiang Yu, Naijiang Lu, Fei Xiao:
Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data. ECML 2004: 419-428 - [c35]Xun Xu, Changshui Zhang, Thomas S. Huang:
Active Morphable Model: An Efficient Method for Face Analysis. FGR 2004: 837-842 - [c34]Yalin Zheng, Changshui Zhang, Xing Yi:
Mamdanian logic. FUZZ-IEEE 2004: 629-634 - [c33]Guoqiang Yu, Changshui Zhang:
Switching ARIMA model based forecasting for traffic flow. ICASSP (2) 2004: 429-432 - [c32]Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang:
Symmetry feature in content-based image retrieval. ICIP 2004: 417-420 - [c31]Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang:
No-reference quality assessment for JPEG2000 compressed images. ICIP 2004: 3539-3542 - [c30]Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang:
Blur detection for digital images using wavelet transform. ICME 2004: 17-20 - [c29]Xing Yi, Changshui Zhang, Jingdong Wang:
Multi-view EM algorithm and its application to color image segmentation. ICME 2004: 351-354 - [c28]Jianguo Lee, Jingdong Wang, Changshui Zhang, Zhaoqi Bian:
Probabilistic tangent subspace: a unified view. ICML 2004 - [c27]Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang:
W-Boost and Its Application to Web Image Classification. ICPR (1) 2004: 148-151 - [c26]Xing Yi, Zhongbao Kou, Changshui Zhang:
Classifier Combination based on Active Learning. ICPR (1) 2004: 184-187 - [c25]Fei Wu, Yonglei Zhou, Changshui Zhang:
Relevant Linear Feature Extraction Using Side-information and Unlabeled Data. ICPR (3) 2004: 582-585 - [c24]Like Zhuang, Zhongbao Kou, Changshui Zhang:
Session Identification Based on Time Interval in Web Log Mining. Intelligent Information Processing 2004: 389-396 - [c23]Shifeng Weng, Fai Wong, Changshui Zhang:
A New Adaptive Self-Organizing Map. ISNN (1) 2004: 205-210 - [c22]Zhonglin Lin, Shifeng Weng, Changshui Zhang, Naijiang Lu, Zhimin Xia:
Learning the Supervised NLDR Mapping for Classification. ISNN (1) 2004: 900-905 - [c21]Changshui Zhang, Shiliang Sun, Guoqiang Yu:
Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data. ISNN (2) 2004: 950-955 - [c20]Jingrui He, Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang:
Mean version space: a new active learning method for content-based image retrieval. Multimedia Information Retrieval 2004: 15-22 - [c19]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Manifold-ranking based image retrieval. ACM Multimedia 2004: 9-16 - [c18]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Automatic Peak Number Detection in Image Symmetry Analysis. PCM (3) 2004: 111-118 - [c17]Hanghang Tong, Mingjing Li, HongJiang Zhang, Jingrui He, Changshui Zhang:
Classification of Digital Photos Taken by Photographers or Home Users. PCM (1) 2004: 198-205 - [c16]Jingrui He, Mingjing Li, Zhiwei Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval. PCM (2) 2004: 213-220 - [c15]Yonglei Zhou, Changshui Zhang, Jingchun Wang:
Extended Nearest Feature Line Classifier. PRICAI 2004: 183-190 - 2003
- [c14]Jingdong Wang, Jianguo Lee, Changshui Zhang:
Kernel Trick Embedded Gaussian Mixture Model. ALT 2003: 159-174 - [c13]Jun Wang, Changshui Zhang, Zhongbao Kou:
An Analytical Mapping for LLE and Its Application in Multi-Pose Face Synthesis. BMVC 2003: 1-12 - [c12]Zhongbao Kou, Ban Tao, Changshui Zhang:
Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction. Discovery Science 2003: 328-335 - [c11]Ban Tao, Changshui Zhang, Shu Wei:
A Multi-agent Based approach to Modelling and Rendering of 3D Tree Bark Textures. ECAL 2003: 572-579 - [c10]Jianguo Lee, Jingdong Wang, Changshui Zhang:
Color Image Segmentation: Kernel Do the Feature Space. ECML 2003: 253-264 - [c9]Yungang Zhang, Changshui Zhang, Shijun Wang:
Clustering in Knowledge Embedded Space. ECML 2003: 480-491 - [c8]Jingdong Wang, Jianguo Lee, Changshui Zhang:
Kernel GMM and its application to image binarization. ICME 2003: 533-536 - 2002
- [c7]Ce Liu, Heung-Yeung Shum, Changshui Zhang:
Hierarchical Shape Modeling for Automatic Face Localization. ECCV (2) 2002: 687-703 - 2001
- [c6]Ce Liu, Heung-Yeung Shum, Changshui Zhang:
A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model. CVPR (1) 2001: 192-198 - [c5]Jie Zhou, Le-ping Xin, Dashan Gao, Changshui Zhang, David Zhang:
Automated Cartridge Identification for Firearm Authentication. CVPR (1) 2001: 749-754 - [c4]Jun Chen, Changshui Zhang, Gang Rong:
Palmprint recognition using crease. ICIP (3) 2001: 234-237 - 2000
- [c3]Xiao-guang Lv, Jie Zhou, Changshui Zhang:
A Novel Algorithm for Rotated Human Face Detection. CVPR 2000: 1760-1765 - [c2]Changshui Zhang, Yanhua Sun:
AR model for keystroker verification. SMC 2000: 2887-2890
1990 – 1999
- 1998
- [c1]Hui Peng, Changshui Zhang, Zhaoqi Bian:
A fully automated face recognition system under different conditions. ICPR 1998: 1223-1225
Coauthor Index
[c252] [j156] [i67] [j151] [c241] [c224] [c223] [c220] [i44] [i43] [i42] [i40] [i28] [i24] [j127] [j125] [i13] [c189] [c188] [j98] [j74] [j71] [j70] [j61] [j59] [j55] [c155] [j54] [j52] [j48] [j47] [j41] [j37] [j35] [c148] [c147] [j27] [j25] [c129] [c128] [c127] [c126] [c125] [c120] [c117] [c115] [c111] [c107] [c103] [c102] [c101] [c100] [j23] [j20] [c99] [c95] [c93] [c92] [c88] [c87] [c86] [c78] [c77] [c76] [c72] [c71] [c69] [c54] [c46]
HongJiang Zhang
aka: Hong-Jiang Zhang
aka: Hong-Jiang Zhang
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