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2020 – today
- 2021
[j60]Di Yuan
, Xiaojun Chang, Po-Yao Huang, Qiao Liu, Zhenyu He:
Self-Supervised Deep Correlation Tracking. IEEE Trans. Image Process. 30: 976-985 (2021)- [j59]Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-weighted Robust LDA for Multiclass Classification with Edge Classes. ACM Trans. Intell. Syst. Technol. 12(1): 4:1-4:19 (2021) - [i39]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers. CoRR abs/2101.08001 (2021) - [i38]Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang:
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. CoRR abs/2103.12424 (2021) - [i37]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CoRR abs/2103.13258 (2021) - [i36]Fengda Zhu, Xiwen Liang, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
SOON: Scenario Oriented Object Navigation with Graph-based Exploration. CoRR abs/2103.17138 (2021) - [i35]Pengzhen Ren, Gang Xiao, Xiaojun Chang, Yun Xiao, Zhihui Li, Xiaojiang Chen:
NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition. CoRR abs/2104.01110 (2021) - [i34]Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann:
Scene Graphs: A Survey of Generations and Applications. CoRR abs/2104.01111 (2021) - [i33]Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann:
Person Search Challenges and Solutions: A Survey. CoRR abs/2105.01605 (2021) - 2020
- [j58]Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu:
Robust optimal graph clustering. Neurocomputing 378: 153-165 (2020) - [j57]Xiangpin Bai, Lei Zhu, Cheng Liang, Jingjing Li, Xiushan Nie, Xiaojun Chang:
Multi-view feature selection via Nonnegative Structured Graph Learning. Neurocomputing 387: 110-122 (2020) - [j56]Amit Kumar Singh, Zhihan Lv, Huimin Lu, Xiaojun Chang:
Guest editorial: Recent trends in multimedia data-hiding: a reliable mean for secure communications. J. Ambient Intell. Humaniz. Comput. 11(5): 1795-1797 (2020) - [j55]Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, Lina Yao:
Memory transformation networks for weakly supervised visual classification. Knowl. Based Syst. 210: 106432 (2020) - [j54]Zongyuan Ge, Dwarikanath Mahapatra, Xiaojun Chang, Zetao Chen, Lianhua Chi, Huimin Lu:
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies. Multim. Tools Appl. 79(21-22): 14889-14902 (2020) - [j53]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Mahesh Prakash, Alexander G. Hauptmann:
Few-shot activity recognition with cross-modal memory network. Pattern Recognit. 108: 107348 (2020) - [j52]Xiaojun Chang, Xiaodan Liang, Yan Yan, Liqiang Nie:
Guest editorial: Image/video understanding and analysis. Pattern Recognit. Lett. 130: 1-3 (2020) - [j51]Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Xiaojun Chang, Yunhao Liu:
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. IEEE Trans. Cybern. 50(7): 3033-3044 (2020) - [j50]Caixia Yan, Qinghua Zheng, Xiaojun Chang, Minnan Luo, Chung-Hsing Yeh, Alexander G. Hauptmann:
Semantics-Preserving Graph Propagation for Zero-Shot Object Detection. IEEE Trans. Image Process. 29: 8163-8176 (2020) - [j49]Wenhe Liu, Xiaojun Chang, Ling Chen, Dinh Phung, Xiaoqin Zhang, Yi Yang, Alexander G. Hauptmann:
Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. ACM Trans. Intell. Syst. Technol. 11(2): 21:1-21:15 (2020) - [j48]Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann:
Deep Top-$k$ Ranking for Image-Sentence Matching. IEEE Trans. Multim. 22(3): 775-785 (2020) - [j47]Runwu Zhou, Xiaojun Chang, Lei Shi, Yi-Dong Shen, Yi Yang, Feiping Nie:
Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1592-1601 (2020) - [j46]Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie:
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1747-1756 (2020) - [j45]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Mahesh Prakash, Feiping Nie, Xin Wang, Xiaojiang Chen:
Structured Optimal Graph-Based Clustering With Flexible Embedding. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3801-3813 (2020) - [j44]Deepak Ranjan Nayak, Ratnakar Dash, Xiaojun Chang, Banshidhar Majhi, Sambit Bakshi:
Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features. IEEE Trans. Sustain. Comput. 5(3): 416-427 (2020) - [c61]Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. ACL 2020: 8226-8237 - [c60]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CVPR 2020: 876-885 - [c59]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. CVPR 2020: 1986-1995 - [c58]Chong Liu, Xiaojun Chang, Yi-Dong Shen:
Unity Style Transfer for Person Re-Identification. CVPR 2020: 6886-6895 - [c57]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven W. Su:
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization. CVPR 2020: 7806-7815 - [c56]Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks. CVPR 2020: 10009-10019 - [c55]Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-Modal Memory. CVPR 2020: 10727-10736 - [c54]Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao:
Mining Inter-Video Proposal Relations for Video Object Detection. ECCV (21) 2020: 431-446 - [c53]Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang:
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. IJCAI 2020: 2964-2972 - [c52]Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang:
Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. KDD 2020: 297-305 - [c51]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang:
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD 2020: 753-763 - [c50]Po-Yao Huang, Xiaojun Chang, Alexander G. Hauptmann, Eduard H. Hovy:
Forward and Backward Multimodal NMT for Improved Monolingual and Multilingual Cross-Modal Retrieval. ICMR 2020: 53-62 - [c49]Weitao Wang, Ruyang Liu, Meng Wang, Sen Wang, Xiaojun Chang, Yang Chen:
Memory-Based Network for Scene Graph with Unbalanced Relations. ACM Multimedia 2020: 2400-2408 - [c48]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. NeurIPS 2020 - [c47]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven W. Su:
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. NeurIPS 2020 - [c46]Wenhe Liu, Guoliang Kang, Po-Yao Huang, Xiaojun Chang, Lijun Yu, Yijun Qian, Junwei Liang, Liangke Gui, Jing Wen, Peng Chen, Alexander G. Hauptmann:
Argus: Efficient Activity Detection System for Extended Video Analysis. WACV Workshops 2020: 126-133 - [c45]Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu:
Unsupervised Domain Adaptive Graph Convolutional Networks. WWW 2020: 1457-1467 - [i32]Chong Liu, Xiaojun Chang, Yi-Dong Shen:
Unity Style Transfer for Person Re-Identification. CoRR abs/2003.02068 (2020) - [i31]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CoRR abs/2003.05583 (2020) - [i30]Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-modal Memory. CoRR abs/2003.06745 (2020) - [i29]Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. CoRR abs/2005.03119 (2020) - [i28]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang:
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. CoRR abs/2005.11650 (2020) - [i27]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang:
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions. CoRR abs/2006.02903 (2020) - [i26]Mingjie Li, Fuyu Wang, Xiaojun Chang, Xiaodan Liang:
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation. CoRR abs/2006.03744 (2020) - [i25]Zhen Yu, Jennifer Nguyen, Xiaojun Chang, John Kelly, Catriona McLean, Lei Zhang, Victoria Mar, Zongyuan Ge:
Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images. CoRR abs/2006.10950 (2020) - [i24]Siyi Hu, Xiaojun Chang:
Multi-view Drone-based Geo-localization via Style and Spatial Alignment. CoRR abs/2006.13681 (2020) - [i23]Di Yuan, Xiaojun Chang, Zhenyu He:
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking. CoRR abs/2007.01864 (2020) - [i22]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang:
A Survey of Deep Active Learning. CoRR abs/2009.00236 (2020) - [i21]Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes. CoRR abs/2009.12362 (2020) - [i20]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. CoRR abs/2010.13501 (2020)
2010 – 2019
- 2019
- [j43]Zhihui Li, Lina Yao, Xiaojun Chang, Kun Zhan, Jiande Sun, Huaxiang Zhang:
Zero-shot event detection via event-adaptive concept relevance mining. Pattern Recognit. 88: 595-603 (2019) - [j42]Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann:
Scheduled sampling for one-shot learning via matching network. Pattern Recognit. 96 (2019) - [j41]Ram Prasad Padhy, Xiaojun Chang, Suman Kumar Choudhury, Pankaj Kumar Sa, Sambit Bakshi:
Multi-stage cascaded deconvolution for depth map and surface normal prediction from single image. Pattern Recognit. Lett. 127: 165-173 (2019) - [j40]Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. IEEE Trans. Cybern. 49(2): 388-402 (2019) - [j39]Kun Zhan, Xiaojun Chang, Junpeng Guan, Ling Chen, Zhigang Ma, Yi Yang:
Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features. IEEE Trans. Cybern. 49(5): 1826-1834 (2019) - [j38]Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie:
Discrete Multi-Graph Clustering. IEEE Trans. Image Process. 28(9): 4701-4712 (2019) - [j37]En Yu, Jiande Sun, Jing Li, Xiaojun Chang, Xian-Hua Han, Alexander G. Hauptmann:
Adaptive Semi-Supervised Feature Selection for Cross-Modal Retrieval. IEEE Trans. Multim. 21(5): 1276-1288 (2019) - [j36]Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose Catherine Kanjirathinkal, Mohan S. Kankanhalli:
MMALFM: Explainable Recommendation by Leveraging Reviews and Images. ACM Trans. Inf. Syst. 37(2): 16:1-16:28 (2019) - [c44]Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. AAAI 2019: 3321-3328 - [c43]Zhihui Li, Wenhe Liu, Xiaojun Chang, Lina Yao, Mahesh Prakash, Huaxiang Zhang:
Domain-Aware Unsupervised Cross-dataset Person Re-identification. ADMA 2019: 406-420 - [c42]Po-Yao Huang, Xiaojun Chang, Alexander G. Hauptmann:
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations. EMNLP/IJCNLP (1) 2019: 1461-1467 - [c41]En Yu, Jiande Sun, Li Wang, Xiaojun Chang, Huaxiang Zhang, Alexander G. Hauptmann:
Cross-Modal Transfer Hashing Based on Coherent Projection. ICME Workshops 2019: 477-482 - [c40]Po-Yao Huang, Vaibhav, Xiaojun Chang, Alexander G. Hauptmann:
Improving What Cross-Modal Retrieval Models Learn through Object-Oriented Inter- and Intra-Modal Attention Networks. ICMR 2019: 244-252 - [c39]Po-Yao Huang, Guoliang Kang, Wenhe Liu, Xiaojun Chang, Alexander G. Hauptmann:
Annotation Efficient Cross-Modal Retrieval with Adversarial Attentive Alignment. ACM Multimedia 2019: 1758-1767 - [c38]Xiaojun Chang, Wenhe Liu, Po-Yao Huang, Changlin Li, Fengda Zhu, Mingfei Han, Mingjie Li, Mengyuan Ma, Siyi Hu, Guoliang Kang, Junwei Liang, Liangke Gui, Lijun Yu, Yijun Qian, Jing Wen, Alexander G. Hauptmann:
MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video. TRECVID 2019 - [c37]En Yu, Wenhe Liu, Guoliang Kang, Xiaojun Chang, Jiande Sun, Alexander G. Hauptmann:
Inf@TRECVID 2019: Instance Search Task. TRECVID 2019 - [i19]Imad Rida, Sambit Bakshi, Xiaojun Chang, Hugo Proença:
Forensic Shoe-print Identification: A Brief Survey. CoRR abs/1901.01431 (2019) - [i18]Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. CoRR abs/1904.03828 (2019) - [i17]Fengda Zhu, Xiaojun Chang, Runhao Zeng, Mingkui Tan:
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction. CoRR abs/1906.09205 (2019) - [i16]Po-Yao Huang, Xiaojun Chang, Alexander G. Hauptmann:
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations. CoRR abs/1910.00058 (2019) - [i15]Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks. CoRR abs/1911.07883 (2019) - [i14]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. CoRR abs/1911.13053 (2019) - 2018
- [j35]Amit Kumar Singh, Zhihan Lv, Seungmin Rho, Sanjay Kumar Singh, Xiaojun Chang, William Puech:
IEEE Access Special Section Editorial: Information Security Solutions for Telemedicine Applications. IEEE Access 6: 79005-79009 (2018) - [j34]Chen Gong, Zechao Li, Xiaojun Chang, Yong Luo:
Learning-Based Multimedia Analyses and Applications. Adv. Multim. 2018: 2705839:1-2705839:2 (2018) - [j33]Zhicheng Zhao, Xuanchong Li, Xingzhong Du, Qi Chen, Yanyun Zhao, Fei Su, Xiaojun Chang, Alexander G. Hauptmann:
A unified framework with a benchmark dataset for surveillance event detection. Neurocomputing 278: 62-74 (2018) - [j32]Xiaojun Chang, Yan Yan, Liqiang Nie:
Guest Editorial: Semantic Concept Discovery in MM Data. Multim. Tools Appl. 77(3): 2945-2946 (2018) - [j31]Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng:
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. Neural Comput. 30(5) (2018) - [j30]De Cheng, Yihong Gong, Xiaojun Chang, Weiwei Shi, Alexander G. Hauptmann, Nanning Zheng:
Deep feature learning via structured graph Laplacian embedding for person re-identification. Pattern Recognit. 82: 94-104 (2018) - [j29]Minnan Luo, Xiaojun Chang, Liqiang Nie, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition. IEEE Trans. Cybern. 48(2): 648-660 (2018) - [j28]Dharma P. Agrawal, Brij Bhooshan Gupta, Haoxiang Wang, Xiaojun Chang, Shingo Yamaguchi, Gregorio Martínez Pérez:
Guest Editorial Deep Learning Models for Industry Informatics. IEEE Trans. Ind. Informatics 14(7): 3166-3169 (2018) - [j27]Wenhe Liu, Xiaojun Chang, Yan Yan, Yi Yang, Alexander G. Hauptmann:
Few-Shot Text and Image Classification via Analogical Transfer Learning. ACM Trans. Intell. Syst. Technol. 9(6): 71:1-71:20 (2018) - [j26]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Adaptive Unsupervised Feature Selection With Structure Regularization. IEEE Trans. Neural Networks Learn. Syst. 29(4): 944-956 (2018) - [j25]Zhigang Ma, Xiaojun Chang, Zhongwen Xu, Nicu Sebe, Alexander G. Hauptmann:
Joint Attributes and Event Analysis for Multimedia Event Detection. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2921-2930 (2018) - [j24]Zhihui Li, Feiping Nie, Xiaojun Chang, Liqiang Nie, Huaxiang Zhang, Yi Yang:
Rank-Constrained Spectral Clustering With Flexible Embedding. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6073-6082 (2018) - [j23]Zhihui Li, Feiping Nie, Xiaojun Chang, Yi Yang, Chengqi Zhang, Nicu Sebe:
Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6323-6332 (2018) - [j22]Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang, Joshua Zhexue Huang:
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6362-6373 (2018) - [c36]Zhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang:
Balanced Clustering via Exclusive Lasso: A Pragmatic Approach. AAAI 2018: 3596-3603 - [c35]Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang:
Semi-Supervised Bayesian Attribute Learning for Person Re-Identification. AAAI 2018: 7162-7169 - [c34]Liangke Gui, Xiaodan Liang, Xiaojun Chang, Alexander G. Hauptmann:
Adaptive Context-aware Reinforced Agent for Handwritten Text Recognition. BMVC 2018: 207 - [c33]Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan Liang:
Reinforcement Cutting-Agent Learning for Video Object Segmentation. CVPR 2018: 9080-9089 - [c32]Xiaojun Chang, Po-Yao Huang, Yi-Dong Shen, Xiaodan Liang, Yi Yang, Alexander G. Hauptmann:
RCAA: Relational Context-Aware Agents for Person Search. ECCV (9) 2018: 86-102 - [c31]Long Liu, Danyang Jing, Xiaojun Chang:
Particle Filtering Based Visual Attention Model for Moving Target Detection. ICNC-FSKD 2018: 1387-1391 - [c30]Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang, Yi-Dong Shen:
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision. IJCAI 2018: 964-970 - [c29]Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang:
Teaching Semi-Supervised Classifier via Generalized Distillation. IJCAI 2018: 2156-2162 - [c28]Jia Chen, Shizhe Chen, Qin Jin, Alexander G. Hauptmann, Po-Yao Huang, Junwei Liang, Vaibhav, Xiaojun Chang, Jiang Liu, Ting-Yao Hu, Wenhe Liu, Wei Ke, Wayner Barrios, Haroon Idrees, Donghyun Yoo, Yaser Sheikh, Ruslan Salakhutdinov, Kris Kitani, Dong Huang:
Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video. TRECVID 2018 - [i13]Ting-Yao Hu, Xiaojun Chang, Alexander G. Hauptmann:
Learning Distributional Representation and Set Distance for Multi-shot Person Re-identification. CoRR abs/1808.01119 (2018) - [i12]Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. CoRR abs/1811.05299 (2018) - [i11]Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose Catherine Kanjirathinkal, Mohan S. Kankanhalli:
MMALFM: Explainable Recommendation by Leveraging Reviews and Images. CoRR abs/1811.05318 (2018) - 2017
- [j21]Minnan Luo, Xiaojun Chang, Zhihui Li, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng:
Simple to complex cross-modal learning to rank. Comput. Vis. Image Underst. 163: 67-77 (2017) - [j20]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Avoiding Optimal Mean ℓ2, 1-Norm Maximization-Based Robust PCA for Reconstruction. Neural Comput. 29(4): 1124-1150 (2017) - [j19]Yan-shuo Chang, Feiping Nie, Zhihui Li, Xiaojun Chang, Heng Huang:
Refined Spectral Clustering via Embedded Label Propagation. Neural Comput. 29(12) (2017) - [j18]Xiaojun Chang, Yaoliang Yu, Yi Yang, Eric P. Xing:
Semantic Pooling for Complex Event Analysis in Untrimmed Videos. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1617-1632 (2017) - [j17]Xiaojun Chang, Zhigang Ma, Yi Yang, Zhiqiang Zeng, Alexander G. Hauptmann:
Bi-Level Semantic Representation Analysis for Multimedia Event Detection. IEEE Trans. Cybern. 47(5): 1180-1197 (2017) - [j16]Liqiang Nie, Luming Zhang, Yan Yan, Xiaojun Chang, Maofu Liu, Ling Shaoling:
Multiview Physician-Specific Attributes Fusion for Health Seeking. IEEE Trans. Cybern. 47(11): 3680-3691 (2017) - [j15]Dingwen Zhang, Junwei Han, Lu Jiang, Senmao Ye, Xiaojun Chang:
Revealing Event Saliency in Unconstrained Video Collection. IEEE Trans. Image Process. 26(4): 1746-1758 (2017) - [j14]Xiaojun Chang, Zhigang Ma, Ming Lin, Yi Yang, Alexander G. Hauptmann:
Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection. IEEE Trans. Image Process. 26(8): 3911-3920 (2017) - [j13]Rong Wang, Feiping Nie, Richang Hong, Xiaojun Chang, Xiaojun Yang, Weizhong Yu:
Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction. IEEE Trans. Image Process. 26(10): 5019-5030 (2017) - [j12]Sen Wang, Xue Li, Xiaojun Chang, Lina Yao, Quan Z. Sheng, Guodong Long:
Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining. ACM Trans. Knowl. Discov. Data 11(3): 31:1-31:21 (2017) - [j11]Zhihui Li, Feiping Nie, Xiaojun Chang, Yi Yang:
Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 29(10): 2100-2110 (2017) - [j10]Zhigang Ma, Xiaojun Chang, Yi Yang, Nicu Sebe, Alexander G. Hauptmann:
The Many Shades of Negativity. IEEE Trans. Multim. 19(7): 1558-1568 (2017) - [j9]Liqiang Nie, Luming Zhang, Lei Meng, Xuemeng Song, Xiaojun Chang, Xuelong Li:
Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1508-1519 (2017) - [j8]Xiaojun Chang, Yi Yang:
Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2294-2305 (2017) - [c27]Mingyu Fan, Xiaojun Chang, Dacheng Tao:
Structure Regularized Unsupervised Discriminant Feature Analysis. AAAI 2017: 1870-1876 - [c26]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. AAAI 2017: 2308-2314 - [c25]Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao:
Multi-View Correlated Feature Learning by Uncovering Shared Component. AAAI 2017: 2810-2816 - [c24]Hehe Fan, Xiaojun Chang, De Cheng, Yi Yang, Dong Xu, Alexander G. Hauptmann:
Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos. ICCV 2017: 736-744 - [c23]De Cheng, Xiaojun Chang, Li Liu, Alexander G. Hauptmann, Yihong Gong, Nanning Zheng:
Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification. IJCAI 2017: 964-970 - [c22]Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du:
Top-k Supervise Feature Selection via ADMM for Integer Programming. IJCAI 2017: 1646-1653