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2020 – today
- 2023
[j88]Chenggang Duan, Xinmei Liu, Xiaomei Yang, Cheng Deng:
Knowledge complexity and team information processing: the mediating role of team learning goal orientation. J. Knowl. Manag. 27(5): 1279-1298 (2023)- [j87]Xinyi Xu
, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji:
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1189-1200 (2023) - [j86]Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji:
Group Contrastive Self-Supervised Learning on Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3169-3180 (2023) - [j85]Tengjiao Li, Maosen Li, Yanhua Yang, Cheng Deng:
Frequency domain regularization for iterative adversarial attacks. Pattern Recognit. 134: 109075 (2023) - [j84]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning With Noisy Labels. IEEE Trans. Image Process. 32: 1245-1256 (2023) - [j83]Yanhua Yang, Xiaozhe Zhang, Muli Yang, Cheng Deng:
Adaptive Bias-Aware Feature Generation for Generalized Zero-Shot Learning. IEEE Trans. Multim. 25: 280-290 (2023) - [j82]Xu Yang, Cheng Deng, Zhiyuan Dang, Dacheng Tao:
Deep Multiview Collaborative Clustering. IEEE Trans. Neural Networks Learn. Syst. 34(1): 516-526 (2023) - [i38]Cheng Deng, Bo Tong, Luoyi Fu, Jiaxin Ding, Dexing Cao, Xinbing Wang, Chenghu Zhou:
PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model. CoRR abs/2304.00592 (2023) - [i37]Cheng Deng, Fan Xu, Jiaxing Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang:
FMGNN: Fused Manifold Graph Neural Network. CoRR abs/2304.01081 (2023) - [i36]Cheng Deng, Jiaxin Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou:
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph. CoRR abs/2304.07242 (2023) - [i35]Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji:
3D Molecular Geometry Analysis with 2D Graphs. CoRR abs/2305.13315 (2023) - 2022
- [j81]Jin Liu, Xiaoqing Xu, Yiqing Shi, Cheng Deng, Miaohua Shi:
RELAXNet: Residual efficient learning and attention expected fusion network for real-time semantic segmentation. Neurocomputing 474: 115-127 (2022) - [j80]Ziqi Zhang, Zeyu Li, Kun Wei, Siduo Pan, Cheng Deng:
A survey on multimodal-guided visual content synthesis. Neurocomputing 497: 110-128 (2022) - [j79]Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng, Heng Huang:
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1385-1398 (2022) - [j78]Xu Yang, Cheng Deng, Tongliang Liu, Dacheng Tao:
Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1992-2003 (2022) - [j77]Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang:
Scaling Up Generalized Kernel Methods. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3767-3778 (2022) - [j76]Hao Wang, Cheng Deng, Tongliang Liu, Dacheng Tao:
Transferable Coupled Network for Zero-Shot Sketch-Based Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9181-9194 (2022) - [j75]Cheng Deng, Jianjun Yang, Lawrence Loh, Tian Mu:
Exploring the antecedents and consequences of effectuation in NPD: the moderating role of firm size. Technol. Anal. Strateg. Manag. 34(7): 832-846 (2022) - [j74]Kun Wei, Cheng Deng, Xu Yang, Dacheng Tao:
Incremental Zero-Shot Learning. IEEE Trans. Cybern. 52(12): 13788-13799 (2022) - [j73]Xu Yang, Hao Wang, De Xie, Cheng Deng, Dacheng Tao:
Object-Agnostic Transformers for Video Referring Segmentation. IEEE Trans. Image Process. 31: 2839-2849 (2022) - [j72]Zhe Xu, Da Chen, Kun Wei, Cheng Deng, Hui Xue:
HiSA: Hierarchically Semantic Associating for Video Temporal Grounding. IEEE Trans. Image Process. 31: 5178-5188 (2022) - [j71]Jiaqi Liu, Cheng Deng, Luoyi Fu, Huan Long, Xiaoying Gan, Xinbing Wang, Guihai Chen, Jun Xu:
Evolving Bipartite Model Reveals the Bounded Weights in Mobile Social Networks. IEEE Trans. Mob. Comput. 21(3): 971-985 (2022) - [j70]Qingsong Zhang, Feihu Huang, Cheng Deng, Heng Huang:
Faster Stochastic Quasi-Newton Methods. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4388-4397 (2022) - [j69]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6103-6115 (2022) - [j68]Cheng Deng, Erhui Bian, Zhishen Ge:
Design and Realization of Stepping Motor Drive System Controlled by Single-Chip Microcomputer. Wirel. Pers. Commun. 124(4): 3703-3724 (2022) - [c112]Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang:
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning. CVPR 2022: 31-40 - [c111]Aming Wu, Cheng Deng:
Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation. CVPR 2022: 837-846 - [c110]Yanan Gu, Xu Yang, Kun Wei, Cheng Deng:
Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency. CVPR 2022: 7432-7441 - [c109]Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng:
Mutual Quantization for Cross-Modal Search with Noisy Labels. CVPR 2022: 7541-7550 - [c108]Xiangyu Li, Xu Yang, Kun Wei, Cheng Deng, Muli Yang:
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning. CVPR 2022: 9316-9325 - [c107]Muli Yang, Yuehua Zhu, Jiaping Yu, Aming Wu, Cheng Deng:
Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery. CVPR 2022: 14248-14257 - [c106]Xuan Kou, Chenghao Xu, Xu Yang, Cheng Deng:
Attention-guided Contrastive Hashing for Long-tailed Image Retrieval. IJCAI 2022: 1017-1023 - [c105]Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu:
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning. NeurIPS 2022 - [c104]Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang:
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. NeurIPS 2022 - [i34]Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang:
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CoRR abs/2203.10329 (2022) - [i33]Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu:
MSR: Making Self-supervised learning Robust to Aggressive Augmentations. CoRR abs/2206.01999 (2022) - [i32]Xiangyu Li, Xu Yang, Kun Wei, Cheng Deng, Muli Yang:
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning. CoRR abs/2206.14475 (2022) - [i31]Wenli Sun, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao:
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification. CoRR abs/2211.10933 (2022) - [i30]Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao:
Similarity Distribution based Membership Inference Attack on Person Re-identification. CoRR abs/2211.15918 (2022) - 2021
- [j67]Zeyu Li, Cheng Deng, Kun Wei, Wei Liu, Dacheng Tao:
Learning semantic priors for texture-realistic sketch-to-image synthesis. Neurocomputing 464: 130-140 (2021) - [j66]Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, Cheng Deng, Heng Huang:
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity. J. Mach. Learn. Res. 22: 170:1-170:47 (2021) - [j65]Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang:
Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. Mach. Learn. 110(8): 2005-2033 (2021) - [j64]Yanhua Yang, Lei Wang, De Xie, Cheng Deng, Dacheng Tao:
Multi-Sentence Auxiliary Adversarial Networks for Fine-Grained Text-to-Image Synthesis. IEEE Trans. Image Process. 30: 2798-2809 (2021) - [j63]Hang Zhang, Huanhuan Cao, Xu Yang, Cheng Deng, Dacheng Tao:
Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification. IEEE Trans. Image Process. 30: 5287-5298 (2021) - [j62]Zeyu Li, Cheng Deng, Erkun Yang, Dacheng Tao:
Staged Sketch-to-Image Synthesis via Semi-supervised Generative Adversarial Networks. IEEE Trans. Multim. 23: 2694-2705 (2021) - [j61]Hong Chen, Yingjie Wang, Feng Zheng, Cheng Deng, Heng Huang:
Sparse Modal Additive Model. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2373-2387 (2021) - [j60]Bin Gu, Xiang Geng, Xiang Li, Wanli Shi, Guansheng Zheng, Cheng Deng, Heng Huang:
Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3677-3689 (2021) - [j59]Bin Gu, Zhou Zhai, Cheng Deng, Heng Huang:
Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4111-4122 (2021) - [c103]Yanan Gu, Cheng Deng, Kun Wei:
Class-Incremental Instance Segmentation via Multi-Teacher Networks. AAAI 2021: 1478-1486 - [c102]Xiangyu Li, Zhe Xu, Kun Wei, Cheng Deng:
Generalized Zero-Shot Learning via Disentangled Representation. AAAI 2021: 1966-1974 - [c101]Kun Wei, Cheng Deng, Xu Yang, Maosen Li:
Incremental Embedding Learning via Zero-Shot Translation. AAAI 2021: 10254-10262 - [c100]Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. AAAI 2021: 10896-10904 - [c99]Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang:
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CIKM 2021: 2598-2607 - [c98]Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou:
GAKG: A Multimodal Geoscience Academic Knowledge Graph. CIKM 2021: 4445-4454 - [c97]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Unsupervised Hyperbolic Metric Learning. CVPR 2021: 12465-12474 - [c96]Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang:
Nearest Neighbor Matching for Deep Clustering. CVPR 2021: 13693-13702 - [c95]Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan:
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. CVPR 2021: 16775-16784 - [c94]Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang:
Adversarial Attack on Deep Cross-Modal Hamming Retrieval. ICCV 2021: 2198-2207 - [c93]Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng:
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval. IJCAI 2021: 1143-1149 - [c92]Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng:
Graph Debiased Contrastive Learning with Joint Representation Clustering. IJCAI 2021: 3434-3440 - [c91]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. KDD 2021: 3917-3927 - [c90]Aming Wu, Suqi Zhao, Cheng Deng, Wei Liu:
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement. NeurIPS 2021: 6353-6364 - [i29]Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. CoRR abs/2103.00958 (2021) - [i28]Aming Wu, Yahong Han, Linchao Zhu, Yi Yang, Cheng Deng:
Universal-Prototype Augmentation for Few-Shot Object Detection. CoRR abs/2103.01077 (2021) - [i27]Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Doubly Contrastive Deep Clustering. CoRR abs/2103.05484 (2021) - [i26]Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng:
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval. CoRR abs/2106.11841 (2021) - [i25]Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji:
Group Contrastive Self-Supervised Learning on Graphs. CoRR abs/2107.09787 (2021) - [i24]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. CoRR abs/2109.12519 (2021) - [i23]Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji:
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs. CoRR abs/2110.01717 (2021) - [i22]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels. CoRR abs/2111.00006 (2021) - 2020
- [j58]Yuehua Zhu, Cheng Deng, Huanhuan Cao, Hao Wang:
Object and background disentanglement for unsupervised cross-domain person re-identification. Neurocomputing 403: 88-97 (2020) - [j57]Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang:
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. J. Mach. Learn. Res. 21: 190:1-190:53 (2020) - [j56]Junliang Ma, Bing Xiao, Cheng Deng:
Graph based semi-supervised classification with probabilistic nearest neighbors. Pattern Recognit. Lett. 133: 94-101 (2020) - [j55]Erkun Yang, Tongliang Liu, Cheng Deng, Dacheng Tao:
Adversarial Examples for Hamming Space Search. IEEE Trans. Cybern. 50(4): 1473-1484 (2020) - [j54]Cheng Deng, Masiqian Yong, Luciano Andres Garcia-Rodriguez, Juan Carlos Balda, Rui Li:
Passive Integration Using FMLF Technique for Integrated Boost Resonant Converters. IEEE Trans. Ind. Electron. 67(5): 3756-3766 (2020) - [j53]Yunhang Shen, Rongrong Ji, Kuiyuan Yang, Cheng Deng, Changhu Wang:
Category-Aware Spatial Constraint for Weakly Supervised Detection. IEEE Trans. Image Process. 29: 843-858 (2020) - [j52]De Xie, Cheng Deng, Chao Li, Xianglong Liu, Dacheng Tao:
Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval. IEEE Trans. Image Process. 29: 3626-3637 (2020) - [j51]Cheng Deng, Xinxun Xu, Hao Wang, Muli Yang, Dacheng Tao:
Progressive Cross-Modal Semantic Network for Zero-Shot Sketch-Based Image Retrieval. IEEE Trans. Image Process. 29: 8892-8902 (2020) - [j50]Cheng Deng, Xu Yang, Feiping Nie, Dapeng Tao:
Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking. IEEE Trans. Multim. 22(4): 885-896 (2020) - [j49]Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li:
Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. IEEE Trans. Neural Networks Learn. Syst. 31(2): 574-588 (2020) - [j48]Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao:
Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2189-2201 (2020) - [j47]Kamran Ghasedi Dizaji, Hongchang Gao, Yanhua Yang, Heng Huang, Cheng Deng:
Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4610-4621 (2020) - [c89]Hao Wang, Cheng Deng, Fan Ma, Yi Yang:
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries. AAAI 2020: 12152-12159 - [c88]Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. CVPR 2020: 359-368 - [c87]Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. CVPR 2020: 638-646 - [c86]Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. CVPR 2020: 6657-6666 - [c85]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji:
Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. CVPR 2020: 10031-10040 - [c84]Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao:
Learning Unseen Concepts via Hierarchical Decomposition and Composition. CVPR 2020: 10245-10253 - [c83]Kun Wei, Cheng Deng, Xu Yang:
Lifelong Zero-Shot Learning. IJCAI 2020: 551-557 - [c82]Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu:
Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning. KDD 2020: 421-429 - [c81]Xu Yang, Cheng Deng, Kun Wei, Junchi Yan, Wei Liu:
Adversarial Learning for Robust Deep Clustering. NeurIPS 2020 - [c80]Yuehua Zhu, Muli Yang, Cheng Deng, Wei Liu:
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies. NeurIPS 2020 - [i21]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji:
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. CoRR abs/2003.08813 (2020) - [i20]Xinxun Xu, Cheng Deng, Muli Yang, Hao Wang:
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval. CoRR abs/2003.09869 (2020) - [i19]Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. CoRR abs/2005.03837 (2020) - [i18]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. CoRR abs/2008.06233 (2020) - [i17]Yuehua Zhu, Muli Yang, Cheng Deng, Wei Liu:
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies. CoRR abs/2010.13636 (2020) - [i16]Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji:
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. CoRR abs/2011.08877 (2020) - [i15]Kun Wei, Cheng Deng, Xu Yang, Maosen Li:
Incremental Embedding Learning via Zero-Shot Translation. CoRR abs/2012.15497 (2020)
2010 – 2019
- 2019
- [j46]Qiguang Miao, Cheng Deng, Mingliang Xu, Yongjie Li:
Chinese Conference on Computer Vision 2017. Neurocomputing 328: 1-4 (2019) - [j45]Muli Yang, Cheng Deng, Feiping Nie:
Adaptive-weighting discriminative regression for multi-view classification. Pattern Recognit. 88: 236-245 (2019) - [j44]Xinyi Xu, Yanhua Yang, Cheng Deng, Feiping Nie:
Adaptive graph weighting for multi-view dimensionality reduction. Signal Process. 165: 186-196 (2019) - [j43]Cheng Deng, Yumeng Xue, Xianglong Liu, Chao Li, Dacheng Tao:
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(3): 1741-1754 (2019) - [j42]Cheng Deng, Erkun Yang, Tongliang Liu, Jie Li, Wei Liu, Dacheng Tao:
Unsupervised Semantic-Preserving Adversarial Hashing for Image Search. IEEE Trans. Image Process. 28(8): 4032-4044 (2019) - [j41]Cheng Deng, Zhao Li, Xinbo Gao, Dacheng Tao:
Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics. ACM Trans. Intell. Syst. Technol. 10(2): 20:1-20:20 (2019) - [c79]Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. AAAI 2019: 176-183 - [c78]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Orthogonality-Promoting Dictionary Learning via Bayesian Inference. AAAI 2019: 4472-4479 - [c77]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. AAAI 2019: 4480-4487 - [c76]De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao:
Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification. AAAI 2019: 9030-9037 - [c75]Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao:
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. CVPR 2019: 2946-2955 - [c74]Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian:
Towards Visual Feature Translation. CVPR 2019: 3004-3013 - [c73]Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu:
Deep Spectral Clustering Using Dual Autoencoder Network. CVPR 2019: 4066-4075 - [c72]Xinyi Xu, Yanhua Yang, Cheng Deng, Feng Zheng:
Deep Asymmetric Metric Learning via Rich Relationship Mining. CVPR 2019: 4076-4085 - [c71]Kamran Ghasedi, Xiaoqian Wang, Cheng Deng, Heng Huang:
Balanced Self-Paced Learning for Generative Adversarial Clustering Network. CVPR 2019: 4391-4400 - [c70]Feng Zheng, Cheng Deng, Xing Sun, Xinyang Jiang, Xiaowei Guo, Zongqiao Yu, Feiyue Huang, Rongrong Ji:
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training. CVPR 2019: 8514-8522 - [c69]Shangqian Gao, Cheng Deng, Heng Huang:
Cross Domain Model Compression by Structurally Weight Sharing. CVPR 2019: 8973-8982 - [c68]Kun Wei, Muli Yang