Implementation of random walk algorithm by parallel computing. - Jiao Cui; Jun Guo; Cangsong Zhang; Xiaojun Chang (FSKD, 2012)

A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. - Xiaojun Chang; Feiping Nie 001; Yi Yang 001; Heng Huang (AAAI, 2014)

Semi-supervised Feature Analysis for Multimedia Annotation by Mining Label Correlation. - Xiaojun Chang; Haoquan Shen; Sen Wang 001; Jiajun Liu; Xue Li 001 (PAKDD (2), 2014)

Informedia @ TRECVID 2014. - Shoou-I Yu; Lu Jiang 004; Zhongwen Xu; Zhenzhong Lan; Shicheng Xu; Xiaojun Chang; Xuanchong Li; Zexi Mao; Chuang Gan 001; Yajie Miao; Xingzhong Du; Yang Cai 002; et al. (TRECVID, 2014)

Balanced k-Means and Min-Cut Clustering. - Xiaojun Chang; Feiping Nie 001; Zhigang Ma; Yi Yang 001 (CoRR, 2014)

A Convex Sparse PCA for Feature Analysis. - Xiaojun Chang; Feiping Nie 001; Yi Yang 001; Heng Huang (CoRR, 2014)

Compound Rank-k Projections for Bilinear Analysis. - Xiaojun Chang; Haoquan Shen; Feiping Nie 001; Sen Wang 001; Yi Yang 001; Xiaofang Zhou 001 (CoRR, 2014)

Semi-supervised Feature Analysis by Mining Correlations among Multiple Tasks. - Xiaojun Chang; Yi Yang 001 (CoRR, 2014)

A Convex Formulation for Spectral Shrunk Clustering. - Xiaojun Chang; Feiping Nie 001; Zhigang Ma; Yi Yang 001; Xiaofang Zhou 001 (AAAI, 2015)

Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM. - Xiaojun Chang; Yi Yang 001; Eric P. Xing; Yaoliang Yu (ICML, 2015)

Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection. - Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann; Eric P. Xing; Yaoliang Yu (IJCAI, 2015)

Incremental Multimodal Query Construction for Video Search. - Shicheng Xu; Huan Li; Xiaojun Chang; Shoou-I Yu; Xingzhong Du; Xuanchong Li; Lu Jiang 004; Zexi Mao; Zhen-Zhong Lan; Susanne Burger; Alexander G. Hauptmann (ICMR, 2015)

Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision. - Xiaojun Chang; Yaoliang Yu; Yi Yang 001; Alexander G. Hauptmann (ACM Multimedia, 2015)

Unsupervised Feature Analysis with Class Margin Optimization. - Sen Wang 001; Feiping Nie 001; Xiaojun Chang; Lina Yao 001; Xue Li 001; Quan Z. Sheng (ECML/PKDD (1), 2015)

CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED. - Shoou-I Yu; Lu Jiang 004; Zhongwen Xu; Zhenzhong Lan; Shicheng Xu; Xiaojun Chang; Xuanchong Li; Zexi Mao; Chuang Gan 001; Yajie Miao; Xingzhong Du; Yang Cai 002; et al. (TRECVID, 2015)

Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization. - Yi Yang 001; Zhigang Ma; Feiping Nie 001; Xiaojun Chang; Alexander G. Hauptmann (Int. J. Comput. Vis., 2015)

Dynamic Concept Composition for Zero-Example Event Detection. - Xiaojun Chang; Yi Yang 001; Guodong Long; Chengqi Zhang; Alexander G. Hauptmann (AAAI, 2016)

They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers. - Xiaojun Chang; Yaoliang Yu; Yi Yang 001; Eric P. Xing (CVPR, 2016)

Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ1-Norm Maximization. - Minnan Luo; Feiping Nie 001; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (IJCAI, 2016)

Uncovering Locally Discriminative Structure for Feature Analysis. - Sen Wang 001; Feiping Nie 001; Xiaojun Chang; Xue Li 001; Quan Z. Sheng; Lina Yao 001 (ECML/PKDD (1), 2016)

Strategies for Searching Video Content with Text Queries or Video Examples. - Shoou-I Yu; Yi Yang 001; Zhongwen Xu; Shicheng Xu; Deyu Meng; Zexi Mao; Zhigang Ma; Ming Lin 002; Xuanchong Li; Huan Li; Zhen-Zhong Lan; Lu Jiang 004; et al. (CoRR, 2016)

Unified discriminating feature analysis for visual category recognition. - Wenhe Liu; Chenqiang Gao; Xiaojun Chang; Qun Wu (J. Vis. Commun. Image Represent., 2016)

Artistic information extraction from Chinese calligraphy works via Shear-Guided filter. - Pengfei Xu 003; Xia Zheng; Xiaojun Chang; Qiguang Miao; Zhanyong Tang; Xiaojiang Chen; Dingyi Fang (J. Vis. Commun. Image Represent., 2016)

Multi-task support vector machines for feature selection with shared knowledge discovery. - Sen Wang 001; Xiaojun Chang; Xue Li 001; Quan Z. Sheng; Weitong Chen 001 (Signal Process., 2016)

Convex Sparse PCA for Unsupervised Feature Learning. - Xiaojun Chang; Feiping Nie 001; Yi Yang 001; Chengqi Zhang; Heng Huang (ACM Trans. Knowl. Discov. Data, 2016)

Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding. - Sen Wang 001; Xiaojun Chang; Xue Li 001; Guodong Long; Lina Yao 001; Quan Z. Sheng (IEEE Trans. Knowl. Data Eng., 2016)

Compound Rank-k Projections for Bilinear Analysis. - Xiaojun Chang; Feiping Nie 001; Sen Wang 001; Yi Yang 001; Xiaofang Zhou 001; Chengqi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2016)

Exploring semantic concepts for complex event analysis in unconstrained video clips - Xiaojun Chang (2016)

Structure Regularized Unsupervised Discriminant Feature Analysis. - Mingyu Fan; Xiaojun Chang; Dacheng Tao (AAAI, 2017)

Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. - Minnan Luo; Feiping Nie 001; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (AAAI, 2017)

Multi-View Correlated Feature Learning by Uncovering Shared Component. - Xiaowei Xue; Feiping Nie 001; Sen Wang 001; Xiaojun Chang; Bela Stantic; Min Yao (AAAI, 2017)

Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos. - Hehe Fan; Xiaojun Chang; De Cheng; Yi Yang 001; Dong Xu 001; Alexander G. Hauptmann (ICCV, 2017)

Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification. - De Cheng; Xiaojun Chang; Li Liu 031; Alexander G. Hauptmann; Yihong Gong; Nanning Zheng 001 (IJCAI, 2017)

Top-k Supervise Feature Selection via ADMM for Integer Programming. - Mingyu Fan; Xiaojun Chang; Xiaoqin Zhang 002; Di Wang 008; Liang Du 003 (IJCAI, 2017)

Self-paced Mixture of Regressions. - Longfei Han; Dingwen Zhang; Dong Huang 007; Xiaojun Chang; Jun Ren; Senlin Luo; Junwei Han 001 (IJCAI, 2017)

How Unlabeled Web Videos Help Complex Event Detection? - Huan Liu 012; Qinghua Zheng; Minnan Luo; Dingwen Zhang; Xiaojun Chang; Cheng Deng (IJCAI, 2017)

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. - Minnan Luo; Lingling Zhang 005; Feiping Nie 001; Xiaojun Chang; Buyue Qian; Qinghua Zheng (IJCAI, 2017)

Robust Top-k Multiclass SVM for Visual Category Recognition. - Xiaojun Chang; Yaoliang Yu; Yi Yang 001 (KDD, 2017)

Exploring Consistent Preferences: Discrete Hashing with Pair-Exemplar for Scalable Landmark Search. - Lei Zhu 002; Zi Huang; Xiaojun Chang; Jingkuan Song; Heng Tao Shen (ACM Multimedia, 2017)

Early Active Learning with Pairwise Constraint for Person Re-identification. - Wenhe Liu; Xiaojun Chang; Ling Chen 006; Yi Yang 001 (ECML/PKDD (1), 2017)

Simple to Complex Cross-modal Learning to Rank. - Minnan Luo; Xiaojun Chang; Yi Yang 001; Liqiang Nie; Alexander G. Hauptmann; Qinghua Zheng (CoRR, 2017)

Simple to complex cross-modal learning to rank. - Minnan Luo; Xiaojun Chang; Zhihui Li 001; Liqiang Nie; Alexander G. Hauptmann; Qinghua Zheng (Comput. Vis. Image Underst., 2017)

Refined Spectral Clustering via Embedded Label Propagation. - Yan-shuo Chang; Feiping Nie 001; Zhihui Li 001; Xiaojun Chang; Heng Huang (Neural Comput., 2017)

Avoiding Optimal Mean ℓ2, 1-Norm Maximization-Based Robust PCA for Reconstruction. - Minnan Luo; Feiping Nie 001; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (Neural Comput., 2017)

Semantic Pooling for Complex Event Analysis in Untrimmed Videos. - Xiaojun Chang; Yaoliang Yu; Yi Yang 001; Eric P. Xing (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Bi-Level Semantic Representation Analysis for Multimedia Event Detection. - Xiaojun Chang; Zhigang Ma; Yi Yang 001; Zhiqiang Zeng; Alexander G. Hauptmann (IEEE Trans. Cybern., 2017)

Multiview Physician-Specific Attributes Fusion for Health Seeking. - Liqiang Nie; Luming Zhang; Yan Yan 002; Xiaojun Chang; Maofu Liu; Ling Shao 001 (IEEE Trans. Cybern., 2017)

Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection. - Xiaojun Chang; Zhigang Ma; Ming Lin 002; Yi Yang 001; Alexander G. Hauptmann (IEEE Trans. Image Process., 2017)

Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction. - Rong Wang 001; Feiping Nie 001; Richang Hong; Xiaojun Chang; Xiaojun Yang; Weizhong Yu (IEEE Trans. Image Process., 2017)

Revealing Event Saliency in Unconstrained Video Collection. - Dingwen Zhang; Junwei Han 001; Lu Jiang 004; Senmao Ye; Xiaojun Chang (IEEE Trans. Image Process., 2017)

Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining. - Sen Wang 001; Xue Li 001; Xiaojun Chang; Lina Yao 001; Quan Z. Sheng; Guodong Long (ACM Trans. Knowl. Discov. Data, 2017)

Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis. - Zhihui Li 001; Feiping Nie 001; Xiaojun Chang; Yi Yang 001 (IEEE Trans. Knowl. Data Eng., 2017)

The Many Shades of Negativity. - Zhigang Ma; Xiaojun Chang; Yi Yang 001; Nicu Sebe; Alexander G. Hauptmann (IEEE Trans. Multim., 2017)

Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks. - Xiaojun Chang; Yi Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease. - Liqiang Nie; Luming Zhang; Lei Meng 001; Xuemeng Song; Xiaojun Chang; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Balanced Clustering via Exclusive Lasso: A Pragmatic Approach. - Zhihui Li 001; Feiping Nie 001; Xiaojun Chang; Zhigang Ma; Yi Yang 001 (AAAI, 2018)

Semi-Supervised Bayesian Attribute Learning for Person Re-Identification. - Wenhe Liu; Xiaojun Chang; Ling Chen 006; Yi Yang 001 (AAAI, 2018)

Adaptive Context-aware Reinforced Agent for Handwritten Text Recognition. - Liangke Gui; Xiaodan Liang; Xiaojun Chang; Alexander G. Hauptmann (BMVC, 2018)

Reinforcement Cutting-Agent Learning for Video Object Segmentation. - Junwei Han 001; Le Yang 008; Dingwen Zhang; Xiaojun Chang; Xiaodan Liang (CVPR, 2018)

RCAA: Relational Context-Aware Agents for Person Search. - Xiaojun Chang; Po-Yao Huang 001; Yi-Dong Shen; Xiaodan Liang; Yi Yang 001; Alexander G. Hauptmann (ECCV (9), 2018)

Particle Filtering Based Visual Attention Model for Moving Target Detection. - Long Liu; Danyang Jing; Xiaojun Chang (ICNC-FSKD, 2018)

Teaching Semi-Supervised Classifier via Generalized Distillation. - Chen Gong 002; Xiaojun Chang; Meng Fang; Jian Yang 003 (IJCAI, 2018)

Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision. - Hanmo Wang; Xiaojun Chang; Lei Shi 015; Yi Yang 001; Yi-Dong Shen (IJCAI, 2018)

Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video. - Jia Chen 001; Shizhe Chen; Qin Jin; Alexander G. Hauptmann; Po-Yao Huang 001; Junwei Liang 001; Vaibhav; Xiaojun Chang; Jiang Liu 011; Ting-Yao Hu; Wenhe Liu; Wei Ke; et al. (TRECVID, 2018)

IEEE Access Special Section Editorial: Information Security Solutions for Telemedicine Applications. - Amit Kumar Singh 001; Zhihan Lv; Seungmin Rho; Sanjay Kumar Singh; Xiaojun Chang; William Puech (IEEE Access, 2018)

Learning-Based Multimedia Analyses and Applications. - Chen Gong 002; Zechao Li; Xiaojun Chang; Yong Luo (Adv. Multim., 2018)

Learning Distributional Representation and Set Distance for Multi-shot Person Re-identification. - Ting-Yao Hu; Xiaojun Chang; Alexander G. Hauptmann (CoRR, 2018)

A unified framework with a benchmark dataset for surveillance event detection. - Zhicheng Zhao 001; Xuanchong Li; Xingzhong Du; Qi Chen 014; Yanyun Zhao; Fei Su; Xiaojun Chang; Alexander G. Hauptmann (Neurocomputing, 2018)

Guest Editorial: Semantic Concept Discovery in MM Data. - Xiaojun Chang; Yan Yan 002; Liqiang Nie (Multim. Tools Appl., 2018)

Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. - Lingling Zhang 005; Jun Liu 002; Minnan Luo; Xiaojun Chang; Qinghua Zheng (Neural Comput., 2018)

Deep feature learning via structured graph Laplacian embedding for person re-identification. - De Cheng; Yihong Gong; Xiaojun Chang; Weiwei Shi 003; Alexander G. Hauptmann; Nanning Zheng 001 (Pattern Recognit., 2018)

An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition. - Minnan Luo; Xiaojun Chang; Liqiang Nie; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (IEEE Trans. Cybern., 2018)

Guest Editorial Deep Learning Models for Industry Informatics. - Dharma P. Agrawal; Brij Bhooshan Gupta; Haoxiang Wang 001; Xiaojun Chang; Shingo Yamaguchi 001; Gregorio Martínez Pérez (IEEE Trans. Ind. Informatics, 2018)

Few-Shot Text and Image Classification via Analogical Transfer Learning. - Wenhe Liu; Xiaojun Chang; Yan Yan 002; Yi Yang 001; Alexander G. Hauptmann (ACM Trans. Intell. Syst. Technol., 2018)

Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data. - Xiaojun Chen 006; Guowen Yuan; Wenting Wang; Feiping Nie 001; Xiaojun Chang; Joshua Zhexue Huang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Rank-Constrained Spectral Clustering With Flexible Embedding. - Zhihui Li 001; Feiping Nie 001; Xiaojun Chang; Liqiang Nie; Huaxiang Zhang 001; Yi Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features. - Zhihui Li 001; Feiping Nie 001; Xiaojun Chang; Yi Yang 001; Chengqi Zhang; Nicu Sebe (IEEE Trans. Neural Networks Learn. Syst., 2018)

Adaptive Unsupervised Feature Selection With Structure Regularization. - Minnan Luo; Feiping Nie 001; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (IEEE Trans. Neural Networks Learn. Syst., 2018)

Joint Attributes and Event Analysis for Multimedia Event Detection. - Zhigang Ma; Xiaojun Chang; Zhongwen Xu; Nicu Sebe; Alexander G. Hauptmann (IEEE Trans. Neural Networks Learn. Syst., 2018)

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Xiaojun Chang; Guodong Long; Sen Wang 001 (AAAI, 2019)

Domain-Aware Unsupervised Cross-dataset Person Re-identification. - Zhihui Li 001; Wenhe Liu; Xiaojun Chang; Lina Yao 001; Mahesh Prakash; Huaxiang Zhang 001 (ADMA, 2019)

Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations. - Po-Yao Huang 001; Xiaojun Chang; Alexander G. Hauptmann (EMNLP/IJCNLP (1), 2019)

Cross-Modal Transfer Hashing Based on Coherent Projection. - En Yu; Jiande Sun 001; Li Wang 148; Xiaojun Chang; Huaxiang Zhang 001; Alexander G. Hauptmann (ICME Workshops, 2019)

Improving What Cross-Modal Retrieval Models Learn through Object-Oriented Inter- and Intra-Modal Attention Networks. - Po-Yao Huang 001; Vaibhav; Xiaojun Chang; Alexander G. Hauptmann (ICMR, 2019)

Annotation Efficient Cross-Modal Retrieval with Adversarial Attentive Alignment. - Po-Yao Huang 001; Guoliang Kang; Wenhe Liu; Xiaojun Chang; Alexander G. Hauptmann (ACM Multimedia, 2019)

MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video. - Xiaojun Chang; Wenhe Liu; Po-Yao Huang 001; Changlin Li; Fengda Zhu; Mingfei Han 002; Mingjie Li 006; Mengyuan Ma; Siyi Hu; Guoliang Kang; Junwei Liang 001; Liangke Gui; et al. (TRECVID, 2019)

Inf@TRECVID 2019: Instance Search Task. - En Yu; Wenhe Liu; Guoliang Kang; Xiaojun Chang; Jiande Sun 001; Alexander G. Hauptmann (TRECVID, 2019)

Forensic Shoe-print Identification: A Brief Survey. - Imad Rida; Sambit Bakshi; Xiaojun Chang; Hugo Proença 001 (CoRR, 2019)

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction. - Fengda Zhu; Xiaojun Chang; Runhao Zeng; Mingkui Tan (CoRR, 2019)

Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. - Changlin Li; Jiefeng Peng; Liuchun Yuan; Guangrun Wang; Xiaodan Liang; Liang Lin; Xiaojun Chang (CoRR, 2019)

Zero-shot event detection via event-adaptive concept relevance mining. - Zhihui Li 001; Lina Yao 001; Xiaojun Chang; Kun Zhan; Jiande Sun 001; Huaxiang Zhang 001 (Pattern Recognit., 2019)

Scheduled sampling for one-shot learning via matching network. - Lingling Zhang 005; Jun Liu 002; Minnan Luo; Xiaojun Chang; Qinghua Zheng; Alexander G. Hauptmann (Pattern Recognit., 2019)

Multi-stage cascaded deconvolution for depth map and surface normal prediction from single image. - Ram Prasad Padhy; Xiaojun Chang; Suman Kumar Choudhury; Pankaj Kumar Sa; Sambit Bakshi (Pattern Recognit. Lett., 2019)

Ensemble Teaching for Hybrid Label Propagation. - Chen Gong 002; Dacheng Tao; Xiaojun Chang; Jian Yang 003 (IEEE Trans. Cybern., 2019)

Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features. - Kun Zhan; Xiaojun Chang; Junpeng Guan; Ling Chen 006; Zhigang Ma; Yi Yang 001 (IEEE Trans. Cybern., 2019)

Discrete Multi-Graph Clustering. - Minnan Luo; Caixia Yan; Qinghua Zheng; Xiaojun Chang; Ling Chen 006; Feiping Nie 001 (IEEE Trans. Image Process., 2019)

Adaptive Semi-Supervised Feature Selection for Cross-Modal Retrieval. - En Yu; Jiande Sun 001; Jing Li 046; Xiaojun Chang; Xian-Hua Han; Alexander G. Hauptmann (IEEE Trans. Multim., 2019)

MMALFM: Explainable Recommendation by Leveraging Reviews and Images. - Zhiyong Cheng 001; Xiaojun Chang; Lei Zhu 002; Rose Catherine Kanjirathinkal; Mohan S. Kankanhalli (ACM Trans. Inf. Syst., 2019)

Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. - Po-Yao Huang 001; Junjie Hu 001; Xiaojun Chang; Alexander G. Hauptmann (ACL, 2020)

Vision-Dialog Navigation by Exploring Cross-Modal Memory. - Yi Zhu 004; Fengda Zhu; Zhaohuan Zhan; Bingqian Lin; Jianbin Jiao; Xiaojun Chang; Xiaodan Liang (CVPR, 2020)

Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. - Changlin Li; Jiefeng Peng; Liuchun Yuan; Guangrun Wang; Xiaodan Liang; Liang Lin; Xiaojun Chang (CVPR, 2020)

Unity Style Transfer for Person Re-Identification. - Chong Liu 002; Xiaojun Chang; Yi-Dong Shen (CVPR, 2020)

ZSTAD: Zero-Shot Temporal Activity Detection. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Sen Wang 001; Zongyuan Ge; Alexander G. Hauptmann (CVPR, 2020)

Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization. - Miao Zhang; Huiqi Li; Shirui Pan; Xiaojun Chang; Steven W. Su (CVPR, 2020)

Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks. - Fengda Zhu; Yi Zhu 004; Xiaojun Chang; Xiaodan Liang (CVPR, 2020)

Mining Inter-Video Proposal Relations for Video Object Detection. - Mingfei Han 002; Yali Wang 001; Xiaojun Chang; Yu Qiao 001 (ECCV (21), 2020)

Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. - Jiaqi Zhang; Meng Wang 009; Qinchi Li; Sen Wang 001; Xiaojun Chang; Beilun Wang (IJCAI, 2020)

Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. - Zhihui Li 001; Xiaojun Chang; Lina Yao 001; Shirui Pan; Zongyuan Ge; Huaxiang Zhang 001 (KDD, 2020)

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. - Zonghan Wu; Shirui Pan; Guodong Long; Jing Jiang 002; Xiaojun Chang; Chengqi Zhang (KDD, 2020)

Forward and Backward Multimodal NMT for Improved Monolingual and Multilingual Cross-Modal Retrieval. - Po-Yao Huang 001; Xiaojun Chang; Alexander G. Hauptmann; Eduard H. Hovy (ICMR, 2020)

Memory-Based Network for Scene Graph with Unbalanced Relations. - Weitao Wang; Ruyang Liu; Meng Wang 009; Sen Wang 001; Xiaojun Chang; Yang Chen 008 (ACM Multimedia, 2020)

Hierarchical Neural Architecture Search for Deep Stereo Matching. - Xuelian Cheng; Yiran Zhong; Mehrtash Harandi; Yuchao Dai; Xiaojun Chang; Hongdong Li; Tom Drummond; Zongyuan Ge (NeurIPS, 2020)

Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. - Miao Zhang; Huiqi Li; Shirui Pan; Xiaojun Chang; Zongyuan Ge; Steven W. Su (NeurIPS, 2020)

Argus: Efficient Activity Detection System for Extended Video Analysis. - Wenhe Liu; Guoliang Kang; Po-Yao Huang 001; Xiaojun Chang; Lijun Yu; Yijun Qian; Junwei Liang 001; Liangke Gui; Jing Wen; Peng Chen; Alexander G. Hauptmann (WACV Workshops, 2020)

Unsupervised Domain Adaptive Graph Convolutional Networks. - Man Wu; Shirui Pan; Chuan Zhou 001; Xiaojun Chang; Xingquan Zhu 001 (WWW, 2020)

Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation. - Mingjie Li 006; Fuyu Wang; Xiaojun Chang; Xiaodan Liang (CoRR, 2020)

Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images. - Zhen Yu; Jennifer Nguyen; Xiaojun Chang; John Kelly; Catriona A. McLean; Lei Zhang 095; Victoria Mar; Zongyuan Ge (CoRR, 2020)

Multi-view Drone-based Geo-localization via Style and Spatial Alignment. - Siyi Hu; Xiaojun Chang (CoRR, 2020)

Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking. - Di Yuan 002; Xiaojun Chang; Zhenyu He 001 (CoRR, 2020)

A Survey of Deep Active Learning. - Pengzhen Ren; Yun Xiao; Xiaojun Chang; Po-Yao Huang 001; Zhihui Li 001; Xiaojiang Chen; Xin Wang 004 (CoRR, 2020)

Multi-view feature selection via Nonnegative Structured Graph Learning. - Xiangpin Bai; Lei Zhu 002; Cheng Liang 001; Jingjing Li 001; Xiushan Nie; Xiaojun Chang (Neurocomputing, 2020)

Robust optimal graph clustering. - Fei Wang 055; Lei Zhu 002; Cheng Liang 001; Jingjing Li 001; Xiaojun Chang; Ke Lu 001 (Neurocomputing, 2020)

Guest editorial: Recent trends in multimedia data-hiding: a reliable mean for secure communications. - Amit Kumar Singh 001; Zhihan Lv; Huimin Lu 001; Xiaojun Chang (J. Ambient Intell. Humaniz. Comput., 2020)

Memory transformation networks for weakly supervised visual classification. - Huan Liu 012; Qinghua Zheng; Minnan Luo; Xiaojun Chang; Caixia Yan; Lina Yao 001 (Knowl. Based Syst., 2020)

Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies. - Zongyuan Ge; Dwarikanath Mahapatra; Xiaojun Chang; Zetao Chen; Lianhua Chi; Huimin Lu 001 (Multim. Tools Appl., 2020)

Few-shot activity recognition with cross-modal memory network. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Mahesh Prakash; Alexander G. Hauptmann (Pattern Recognit., 2020)

Guest editorial: Image/video understanding and analysis. - Xiaojun Chang; Xiaodan Liang; Yan Yan 002; Liqiang Nie (Pattern Recognit. Lett., 2020)

Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Sen Wang 001; Xiaojun Chang; Yunhao Liu 001 (IEEE Trans. Cybern., 2020)

Semantics-Preserving Graph Propagation for Zero-Shot Object Detection. - Caixia Yan; Qinghua Zheng; Xiaojun Chang; Minnan Luo; Chung-Hsing Yeh; Alexander G. Hauptmann (IEEE Trans. Image Process., 2020)

Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. - Wenhe Liu; Xiaojun Chang; Ling Chen 006; Dinh Phung 001; Xiaoqin Zhang 002; Yi Yang 001; Alexander G. Hauptmann (ACM Trans. Intell. Syst. Technol., 2020)

Deep Top-$k$ Ranking for Image-Sentence Matching. - Lingling Zhang 005; Minnan Luo; Jun Liu 002; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann (IEEE Trans. Multim., 2020)

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Xianzhi Wang 001; Xiaojun Chang; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Structured Optimal Graph-Based Clustering With Flexible Embedding. - Pengzhen Ren; Yun Xiao; Xiaojun Chang; Mahesh Prakash; Feiping Nie 001; Xin Wang 004; Xiaojiang Chen (IEEE Trans. Neural Networks Learn. Syst., 2020)

Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning. - Runwu Zhou; Xiaojun Chang; Lei Shi 015; Yi-Dong Shen; Yi Yang 001; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features. - Deepak Ranjan Nayak; Ratnakar Dash; Xiaojun Chang; Banshidhar Majhi; Sambit Bakshi (IEEE Trans. Sustain. Comput., 2020)

Dynamic Slimmable Network. - Changlin Li; Guangrun Wang; Bing Wang 013; Xiaodan Liang; Zhihui Li 001; Xiaojun Chang (CVPR, 2021)

SOON: Scenario Oriented Object Navigation With Graph-Based Exploration. - Fengda Zhu; Xiwen Liang; Yi Zhu 004; Qizhi Yu; Xiaojun Chang; Xiaodan Liang (CVPR, 2021)

A Generative Deep Learning Approach for Forensic Facial Reconstruction. - Mitchell Hargreaves; David Ting; Stephen Bajan; Kamron Bhavnagri; Richard Bassed; Xiaojun Chang (DICTA, 2021)

Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. - Fatemeh Shiri; Teresa Wang; Shirui Pan; Xiaojun Chang; Yuan-Fang Li; Reza Haffari; Van Nguyen 002; Shuang Yu (FUSION, 2021)

Vision-Language Navigation with Random Environmental Mixup. - Chong Liu 002; Fengda Zhu; Xiaojun Chang; Xiaodan Liang; Zongyuan Ge; Yi-Dong Shen (ICCV, 2021)

BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. - Changlin Li; Tao Tang; Guangrun Wang; Jiefeng Peng; Bing Wang 013; Xiaodan Liang; Xiaojun Chang (ICCV, 2021)

Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation. - Li Liu 031; Qingle Huang; Sihao Lin; Hongwei Xie; Bing Wang 013; Xiaojun Chang; Xiaodan Liang (ICCV, 2021)

UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers. - Siyi Hu; Fengda Zhu; Xiaojun Chang; Xiaodan Liang (ICLR, 2021)

Transformer Based Multi-Agent Framework. - Siyi Hu; Fengda Zhu; Xiaojun Chang; Xiaodan Liang (ICME Workshops, 2021)

iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. - Miao Zhang; Steven W. Su; Shirui Pan; Xiaojun Chang; M. Ehsan Abbasnejad; Reza Haffari (ICML, 2021)

Person Search Challenges and Solutions: A Survey. - Xiangtan Lin; Pengzhen Ren; Yun Xiao; Xiaojun Chang; Alex Hauptmann 001 (IJCAI, 2021)

Multimodal Compatibility Modeling via Exploring the Consistent and Complementary Correlations. - Weili Guan; Haokun Wen; Xuemeng Song; Chung-Hsing Yeh; Xiaojun Chang; Liqiang Nie (ACM Multimedia, 2021)

FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark. - Mingjie Li 006; Wenjia Cai; Rui Liu; Yuetian Weng; Xiaoyun Zhao; Cong Wang; Xin Chen; Zhong Liu; Caineng Pan; Mengke Li; Yingfeng Zheng; Yizhi Liu; et al. (NeurIPS Datasets and Benchmarks, 2021)

IEEE Access Special Section Editorial: Big Data Learning and Discovery. - Zhongke Gao; An-An Liu; Yanhui Wang 001; Michael Small; Xiaojun Chang; Jürgen Kurths (IEEE Access, 2021)

Ground states of a class of gradient systems of Choquard type with general nonlinearity. - Wei Sun; Xiaojun Chang (Appl. Math. Lett., 2021)

A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment. - Brij B. Gupta; Krishna Yadav; Imran Razzak; Konstantinos E. Psannis; Arcangelo Castiglione; Xiaojun Chang (Comput. Commun., 2021)

UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers. - Siyi Hu; Fengda Zhu; Xiaojun Chang; Xiaodan Liang (CoRR, 2021)

SOON: Scenario Oriented Object Navigation with Graph-based Exploration. - Fengda Zhu; Xiwen Liang; Yi Zhu 004; Xiaojun Chang; Xiaodan Liang (CoRR, 2021)

NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition. - Pengzhen Ren; Gang Xiao; Xiaojun Chang; Yun Xiao; Zhihui Li 001; Xiaojiang Chen (CoRR, 2021)

Scene Graphs: A Survey of Generations and Applications. - Xiaojun Chang; Pengzhen Ren; Pengfei Xu 003; Zhihui Li 001; Xiaojiang Chen; Alex Hauptmann 001 (CoRR, 2021)

Vision-Language Navigation with Random Environmental Mixup. - Chong Liu 002; Fengda Zhu; Xiaojun Chang; Xiaodan Liang; Yi-Dong Shen (CoRR, 2021)

Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective. - Miao Zhang; Steven W. Su; Shirui Pan; Xiaojun Chang; Wei Huang 034; Gholamreza Haffari (CoRR, 2021)

Deep Learning for Embodied Vision Navigation: A Survey. - Fengda Zhu; Yi Zhu 004; Xiaodan Liang; Xiaojun Chang (CoRR, 2021)

Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions. - Xiangtan Lin; Pengzhen Ren; Chung-Hsing Yeh; Lina Yao 001; Andy Song; Xiaojun Chang (CoRR, 2021)

DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers. - Changlin Li; Guangrun Wang; Bing Wang 013; Xiaodan Liang; Zhihui Li 001; Xiaojun Chang (CoRR, 2021)

Dynamic Slimmable Denoising Network. - Zutao Jiang; Changlin Li; Xiaojun Chang; Jihua Zhu; Yi Yang 001 (CoRR, 2021)

Signature-Graph Networks. - Ali Hamdi; Flora D. Salim; Du Yong Kim; Xiaojun Chang (CoRR, 2021)

Active Learning for Deep Visual Tracking. - Di Yuan 002; Xiaojun Chang; Qiao Liu 001; Dehua Wang; Zhenyu He 001 (CoRR, 2021)

Reliable shot identification for complex event detection via visual-semantic embedding. - Minnan Luo; Xiaojun Chang; Chen Gong 002 (Comput. Vis. Image Underst., 2021)

CS-GAN: Cross-Structure Generative Adversarial Networks for Chinese calligraphy translation. - Yun Xiao; Wenlong Lei; Lei Lu; Xiaojun Chang; Xia Zheng; Xiaojiang Chen (Knowl. Based Syst., 2021)

Correlation filters with adaptive convolution response fusion for object tracking. - Lanlan Yang; Chuihan Kong; Xiaojun Chang; Sicong Zhao; Yang Cao; Shunli Zhang (Knowl. Based Syst., 2021)

One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. - Miao Zhang; Huiqi Li; Shirui Pan; Xiaojun Chang; Chuan Zhou 001; Zongyuan Ge; Steven Weidong Su (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Cooperation Learning From Multiple Social Networks: Consistent and Complementary Perspectives. - Weili Guan; Xuemeng Song; Tian Gan; Junyu Lin; Xiaojun Chang; Liqiang Nie (IEEE Trans. Cybern., 2021)

Self-Supervised Deep Correlation Tracking. - Di Yuan 002; Xiaojun Chang; Po-Yao Huang 001; Qiao Liu 001; Zhenyu He 001 (IEEE Trans. Image Process., 2021)

Self-weighted Robust LDA for Multiclass Classification with Edge Classes. - Caixia Yan; Xiaojun Chang; Minnan Luo; Qinghua Zheng; Xiaoqin Zhang 002; Zhihui Li 001; Feiping Nie 001 (ACM Trans. Intell. Syst. Technol., 2021)

Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval. - Xu Lu 004; Li Liu 031; Liqiang Nie; Xiaojun Chang; Huaxiang Zhang 001 (IEEE Trans. Multim., 2021)

Introduction to the Special Issue on Fine-grained Visual Computing. - Shaohua Wan 001; Zan Gao; Hanwang Zhang; Xiaojun Chang (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. - Mingfei Han 002; David Junhao Zhang; Yali Wang 001; Rui Yan; Lina Yao 001; Xiaojun Chang; Yu Qiao 001 (CVPR, 2022)

Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation with Reliable Voted Pseudo Labels. - Hehe Fan; Xiaojun Chang; Wanyue Zhang; Yi Cheng; Ying Sun 001; Mohan S. Kankanhalli (CVPR, 2022)

Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. - Mingjie Li 006; Wenjia Cai; Karin Verspoor; Shirui Pan; Xiaodan Liang; Xiaojun Chang (CVPR, 2022)

Automated Progressive Learning for Efficient Training of Vision Transformers. - Changlin Li; Bohan Zhuang; Guangrun Wang; Xiaodan Liang; Xiaojun Chang; Yi Yang 001 (CVPR, 2022)

Knowledge Distillation via the Target-aware Transformer. - Sihao Lin; Hongwei Xie; Bing Wang 013; Kaicheng Yu; Xiaojun Chang; Xiaodan Liang; Gang Wang (CVPR, 2022)

Beyond Fixation: Dynamic Window Visual Transformer. - Pengzhen Ren; Changlin Li; Guangrun Wang; Yun Xiao; Qing Du; Xiaodan Liang; Xiaojun Chang (CVPR, 2022)

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. - Miao Zhang; Shirui Pan; Xiaojun Chang; Steven Su; Jilin Hu; Gholamreza Haffari; Bin Yang 002 (CVPR, 2022)

An Efficient Spatio-Temporal Pyramid Transformer for Action Detection. - Yuetian Weng; Zizheng Pan; Mingfei Han 002; Xiaojun Chang; Bohan Zhuang (ECCV (34), 2022)

PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. - Shangbin Feng; Zhaoxuan Tan; Zilong Chen; Ningnan Wang; Peisheng Yu; Qinghua Zheng; Xiaojun Chang; Minnan Luo (EMNLP, 2022)

PRE-NAS: predictor-assisted evolutionary neural architecture search. - Yameng Peng; Andy Song; Vic Ciesielski; Haytham M. Fayek; Xiaojun Chang (GECCO, 2022)

AdverFacial: Privacy-Preserving Universal Adversarial Perturbation Against Facial Micro-Expression Leakages. - Yin Yin Low; Angeline Tanvy; Raphaël C.-W. Phan; Xiaojun Chang (ICASSP, 2022)

Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. - Xiaocong Chen; Lina Yao 001; Xiaojun Chang; Siyu Wang 001 (ICDM, 2022)

Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. - Siyi Hu; Chuanlong Xie; Xiaodan Liang; Xiaojun Chang (ICML, 2022)

Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling. - Canran Li; Dongnan Liu; Haoran Li; Zheng Zhang 006; Guangming Lu 002; Xiaojun Chang; Weidong Cai 001 (MICCAI (8), 2022)

Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit Recommendation. - Weili Guan; Xuemeng Song; Haoyu Zhang; Meng Liu 006; Chung-Hsing Yeh; Xiaojun Chang (ACM Multimedia, 2022)

Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Weili Guan; Xiaojun Chang; Xianzhi Wang 001 (SIGIR, 2022)

Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning. - Weili Guan; Fangkai Jiao; Xuemeng Song; Haokun Wen; Chung-Hsing Yeh; Xiaojun Chang (SIGIR, 2022)

Smart defense against distributed Denial of service attack in IoT networks using supervised learning classifiers. - B. B. Gupta 001; Pooja Chaudhary; Xiaojun Chang; Nadia Nedjah (Comput. Electr. Eng., 2022)

Balancing Generalization and Specialization in Zero-shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xiaojun Chang (CoRR, 2022)

Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation. - Li Liu 031; Qingle Huang; Sihao Lin; Hongwei Xie; Bing Wang 013; Xiaojun Chang; Xiaodan Liang (CoRR, 2022)

CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search. - Chengyou Jia; Minnan Luo; Caixia Yan; Xiaojun Chang; Qinghua Zheng (CoRR, 2022)

Towards Explanation for Unsupervised Graph-Level Representation Learning. - Qinghua Zheng; Jihong Wang 003; Minnan Luo; Yaoliang Yu; Jundong Li; Lina Yao 001; Xiaojun Chang (CoRR, 2022)

Generalizable Memory-driven Transformer for Multivariate Long Sequence Time-series Forecasting. - Mingjie Li 006; Xiaoyun Zhao; Rui Liu; Changlin Li; Xiaohan Wang; Xiaojun Chang (CoRR, 2022)

Prompt-driven efficient Open-set Semi-supervised Learning. - Haoran Li; Chun-Mei Feng 001; Tao Zhou 002; Yong Xu 001; Xiaojun Chang (CoRR, 2022)

Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers. - Tao Tang; Changlin Li; Guangrun Wang; Kaicheng Yu; Xiaojun Chang; Xiaodan Liang (CoRR, 2022)

MARLlib: Extending RLlib for Multi-agent Reinforcement Learning. - Siyi Hu; Yifan Zhong; Minquan Gao; Weixun Wang; Hao Dong 003; Zhihui Li 001; Xiaodan Liang; Xiaojun Chang; Yaodong Yang 001 (CoRR, 2022)

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xiaojun Chang; Wei Fang 001; Xiaojun Wu 001; Yi Yang 001 (CoRR, 2022)

Deepfake Detection: A Comprehensive Study from the Reliability Perspective. - Tianyi Wang 006; Kam-Pui Chow; Xiaojun Chang; Yinglong Wang 001 (CoRR, 2022)

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions. - Pengzhen Ren; Yun Xiao; Xiaojun Chang; Poyao Huang 001; Zhihui Li 001; Xiaojiang Chen; Xin Wang 004 (ACM Comput. Surv., 2022)

A Survey of Deep Active Learning. - Pengzhen Ren; Yun Xiao; Xiaojun Chang; Po-Yao Huang 001; Zhihui Li 001; Brij B. Gupta; Xiaojiang Chen; Xin Wang 004 (ACM Comput. Surv., 2022)

Deep Discrete Cross-Modal Hashing with Multiple Supervision. - En Yu; Jianhua Ma; Jiande Sun 001; Xiaojun Chang; Huaxiang Zhang 001; Alexander G. Hauptmann (Neurocomputing, 2022)

Anchor-based crowd formation transformation. - Yihao Li; Tianyu Huang; Yifan Liu; Xiaojun Chang; Gangyi Ding (Comput. Animat. Virtual Worlds, 2022)

Accurate bounding-box regression with distance-IoU loss for visual tracking. - Di Yuan 002; Xiu Shu; Nana Fan; Xiaojun Chang; Qiao Liu 001; Zhenyu He 001 (J. Vis. Commun. Image Represent., 2022)

Discrete Fusion Adversarial Hashing for cross-modal retrieval. - Jing Li 046; En Yu; Jianhua Ma; Xiaojun Chang; Huaxiang Zhang 001; Jiande Sun 001 (Knowl. Based Syst., 2022)

HCDC-SRCF tracker: Learning an adaptively multi-feature fuse tracker in spatial regularized correlation filters framework. - Bing Liu 019; Xiaojun Chang; Di Yuan 002; Yong Yang (Knowl. Based Syst., 2022)

Deformable attention-oriented feature pyramid network for semantic segmentation. - Lei Lu; Yun Xiao; Xiaojun Chang; Xuanhong Wang; Pengzhen Ren; Zhe Ren (Knowl. Based Syst., 2022)

Graph convolutional networks in language and vision: A survey. - Haotian Ren; Wei Lu 015; Yun Xiao; Xiaojun Chang; Xuanhong Wang; Zhiqiang Dong; Dingyi Fang (Knowl. Based Syst., 2022)

Pruning graph neural networks by evaluating edge properties. - Li Wang 148; Wei Huang 034; Miao Zhang; Shirui Pan; Xiaojun Chang; Steven Weidong Su (Knowl. Based Syst., 2022)

Vision transformers for dense prediction: A survey. - Shuangquan Zuo; Yun Xiao; Xiaojun Chang; Xuanhong Wang (Knowl. Based Syst., 2022)

ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning. - Caixia Yan; Xiaojun Chang; Zhihui Li 001; Weili Guan; Zongyuan Ge; Lei Zhu 002; Qinghua Zheng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Editorial paper for pattern recognition letters VSI on multi-view representation learning and multi-modal information representation. - Dan Song 006; Wenshu Zhang; Tongwei Ren; Xiaojun Chang (Pattern Recognit. Lett., 2022)

Editorial paper for Pattern Recognition Letters VSI on cross model understanding for visual question answering. - Shaohua Wan 001; Zan Gao; Hanwang Zhang; Xiaojun Chang; Chen Chen 001; Anastasios Tefas (Pattern Recognit. Lett., 2022)

An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Julian J. McAuley; Xiaojun Chang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning. - Lingling Zhang 005; Shaowei Wang; Xiaojun Chang; Jun Liu 002; Zongyuan Ge; Qinghua Zheng (IEEE Trans. Circuits Syst. Video Technol., 2022)

Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. - Sheng Wan; Shirui Pan; Ping Zhong 001; Xiaojun Chang; Jian Yang 003; Chen Gong 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Partially Supervised Compatibility Modeling. - Weili Guan; Haokun Wen; Xuemeng Song; Chun Wang; Chung-Hsing Yeh; Xiaojun Chang; Liqiang Nie (IEEE Trans. Image Process., 2022)

Learning Adaptive Spatial-Temporal Context-Aware Correlation Filters for UAV Tracking. - Di Yuan 002; Xiaojun Chang; Zhihui Li 001; Zhenyu He 001 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Artificial intelligence empowered emails classifier for Internet of Things based systems in industry 4.0. - Brij B. Gupta; Aakanksha Tewari; Ivan Cvitic; Dragan Perakovic; Xiaojun Chang (Wirel. Networks, 2022)

Interpolation graph convolutional network for 3D point cloud analysis. - Yao Liu 017; Lina Yao 001; Binghao Li; Claude Sammut; Xiaojun Chang (Int. J. Intell. Syst., 2022)

3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. - Zutao Jiang; Guansong Lu; Xiaodan Liang; Jihua Zhu; Wei Zhang 196; Xiaojun Chang; Hang Xu 004 (AAAI, 2023)

No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling. - Xuwei Xu; Changlin Li; Yudong Chen 002; Xiaojun Chang; Jiajun Liu; Sen Wang 001 (AI (1), 2023)

Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation. - Mingjie Li 006; Bingqian Lin; Zicong Chen; Haokun Lin; Xiaodan Liang; Xiaojun Chang (CVPR, 2023)

ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. - Terry Yue Zhuo; Yaqing Liao; Yuecheng Lei; Lizhen Qu; Gerard de Melo; Xiaojun Chang; Yazhou Ren 001; Zenglin Xu (EACL (Findings), 2023)

Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions. - Yameng Peng; Andy Song; Vic Ciesielski; Haytham M. Fayek; Xiaojun Chang (GECCO, 2023)

Towards Real-Time Person Search with Invariant Feature Learning. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Xiaojun Chang; Qinghua Zheng (ICASSP, 2023)

HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. - Mingfei Han 002; Yali Wang 001; Zhihui Li 001; Lina Yao 001; Xiaojun Chang; Yu Qiao 001 (ICCV, 2023)

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. - Zhijian Huang; Sihao Lin; Guiyu Liu; Mukun Luo; Chaoqiang Ye; Hang Xu 004; Xiaojun Chang; Xiaodan Liang (ICCV, 2023)

USURP: Universal Single-Source Adversarial Perturbations on Multimodal Emotion Recognition. - Yin Yin Low; Raphaël C.-W. Phan; Arghya Pal; Xiaojun Chang (ICIP, 2023)

ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. - Pengzhen Ren; Changlin Li; Hang Xu 004; Yi Zhu 004; Guangrun Wang; Jianzhuang Liu; Xiaojun Chang; Xiaodan Liang (ICLR, 2023)

RASNet: A Reinforcement Assistant Network for Frame Selection in Video-based Posture Recognition. - Ruotong Hu; Xianzhi Wang 001; Xiaojun Chang; Yeqi Hu; Xiaowei Xin; Xiangqian Ding; Baoqi Guo (ICME, 2023)

Vision Language Navigation with Knowledge-driven Environmental Dreamer. - Fengda Zhu; Vincent CS Lee; Xiaojun Chang; Xiaodan Liang (IJCAI, 2023)

Mask Propagation for Efficient Video Semantic Segmentation. - Yuetian Weng; Mingfei Han 002; Haoyu He 001; Mingjie Li 006; Lina Yao 001; Xiaojun Chang; Bohan Zhuang (NeurIPS, 2023)

Normalized ground states of nonlinear biharmonic Schrödinger equations with Sobolev critical growth and combined nonlinearities. - Zhouji Ma; Xiaojun Chang (Appl. Math. Lett., 2023)

A Benchmark for Cycling Close Pass Near Miss Event Detection from Video Streams. - Mingjie Li 006; Tharindu Rathnayake; Ben Beck; Lingheng Meng; Zijue Chen; Akansel Cosgun; Xiaojun Chang; Dana Kulic (CoRR, 2023)

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining. - Bingqian Lin; Zicong Chen; Mingjie Li 006; Haokun Lin; Hang Xu 004; Yi Zhu 004; Jianzhuang Liu; Wenjia Cai; Lei Yang; Shen Zhao; Chenfei Wu; Ling Chen 006; et al. (CoRR, 2023)

Maximum Entropy Heterogeneous-Agent Mirror Learning. - Jiarong Liu; Yifan Zhong; Siyi Hu; Haobo Fu; Qiang Fu 016; Xiaojun Chang; Yaodong Yang 001 (CoRR, 2023)

ProAgent: Building Proactive Cooperative AI with Large Language Models. - Ceyao Zhang; Kaijie Yang; Siyi Hu; Zihao Wang; Guanghe Li; Yihang Sun; Cheng Zhang; Zhaowei Zhang; Anji Liu; Song-Chun Zhu; Xiaojun Chang; Junge Zhang; et al. (CoRR, 2023)

PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Guang Dai; Xiaojun Chang; Jingdong Wang 001; Qinghua Zheng (CoRR, 2023)

Disentangled Representation Learning with Transmitted Information Bottleneck. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Guang Dai; Jihong Wang 003; Xiaojun Chang; Jingdong Wang 001; Qinghua Zheng (CoRR, 2023)

Shot2Story20K: A New Benchmark for Comprehensive Understanding of Multi-shot Videos. - Mingfei Han 002; Linjie Yang; Xiaojun Chang; Heng Wang (CoRR, 2023)

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library. - Siyi Hu; Yifan Zhong; Minquan Gao; Weixun Wang; Hao Dong 003; Xiaodan Liang; Zhihui Li 001; Xiaojun Chang; Yaodong Yang 001 (J. Mach. Learn. Res., 2023)

Multiview Latent Structure Learning: Local structure-guided cross-view discriminant analysis. - Mei Shi; Xiaowei Zhao 002; Xiaoyan Yin 001; Xiaojun Chang; Fan Niu; Jun Guo (Knowl. Based Syst., 2023)

A Comprehensive Survey of Scene Graphs: Generation and Application. - Xiaojun Chang; Pengzhen Ren; Pengfei Xu 003; Zhihui Li 001; Xiaojiang Chen; Alex Hauptmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

The Effect of Facial Perception and Academic Performance on Social Centrality. - Dongyu Zhang 001; Ciyuan Peng; Xiaojun Chang; Feng Xia 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Collaborative Contrastive Refining for Weakly Supervised Person Search. - Chengyou Jia; Minnan Luo; Caixia Yan; Linchao Zhu; Xiaojun Chang; Qinghua Zheng (IEEE Trans. Image Process., 2023)

Dynamic Slimmable Denoising Network. - Zutao Jiang; Changlin Li; Xiaojun Chang; Ling Chen 006; Jihua Zhu; Yi Yang 001 (IEEE Trans. Image Process., 2023)

Zero-Shot Camouflaged Object Detection. - Haoran Li; Chun-Mei Feng 001; Yong Xu 001; Tao Zhou 002; Lina Yao 001; Xiaojun Chang (IEEE Trans. Image Process., 2023)

Unsupervised Adaptive Feature Selection With Binary Hashing. - Dan Shi; Lei Zhu 002; Jingjing Li 001; Zheng Zhang 006; Xiaojun Chang (IEEE Trans. Image Process., 2023)

Attribute-Modulated Generative Meta Learning for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xiaojun Chang (IEEE Trans. Multim., 2023)

Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Xiaojun Chang; Julian J. McAuley; Lina Yao 001 (IEEE Trans. Multim., 2023)

Auxiliary signal-guided knowledge encoder-decoder for medical report generation. - Mingjie Li 006; Rui Liu; Fuyu Wang; Xiaojun Chang; Xiaodan Liang (World Wide Web (WWW), 2023)

PRE-NAS: Evolutionary Neural Architecture Search With Predictor. - Yameng Peng; Andy Song; Vic Ciesielski; Haytham M. Fayek; Xiaojun Chang (IEEE Trans. Evol. Comput., 2023)

Machine learning and smart card based two-factor authentication scheme for preserving anonymity in telecare medical information system (TMIS). - B. B. Gupta 001; Varun Prajapati; Nadia Nedjah; Pandi Vijayakumar; Ahmed A. Abd El-Latif 001; Xiaojun Chang (Neural Comput. Appl., 2023)

Video Pivoting Unsupervised Multi-Modal Machine Translation. - Mingjie Li 006; Po-Yao Huang 001; Xiaojun Chang; Junjie Hu 001; Yi Yang 001; Alex Hauptmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Zhihui Li 001; Lina Yao 001; Alex Hauptmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Random Reconstructed Unpaired Image-to-Image Translation. - Xiaoqin Zhang 002; Chen-Xiang Fan; Zhiheng Xiao; Li Zhao 005; Huiling Chen 001; Xiaojun Chang (IEEE Trans. Ind. Informatics, 2023)

Adaptive Manifold Graph representation for Two-Dimensional Discriminant Projection. - Jinlong Qu; Xiaowei Zhao 002; Yun Xiao; Xiaojun Chang; Zhihui Li 001; Xuanhong Wang (Knowl. Based Syst., 2023)

DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. - Changlin Li; Guangrun Wang; Bing Wang 013; Xiaodan Liang; Zhihui Li 001; Xiaojun Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation. - Xiu Shu; Yunyun Yang; Jun Liu 036; Xiaojun Chang; Boying Wu (Pattern Recognit., 2023)

MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. - Lingling Zhang 005; Shaowei Wang; Jun Liu 002; Xiaojun Chang; Qika Lin; Yaqiang Wu; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2023)

When Object Detection Meets Knowledge Distillation: A Survey. - Zhihui Li 001; Pengfei Xu 003; Xiaojun Chang; Luyao Yang; Yuanyuan Zhang; Lina Yao 001; Xiaojiang Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Counterfactual Generation Framework for Few-Shot Learning. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Caixia Yan; Xiaojun Chang; Qinghua Zheng (IEEE Trans. Circuits Syst. Video Technol., 2023)

Egocentric Early Action Prediction via Multimodal Transformer-Based Dual Action Prediction. - Weili Guan; Xuemeng Song; Kejie Wang; Haokun Wen; Hongda Ni; Yaowei Wang 001; Xiaojun Chang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Convergence of least energy sign-changing solutions for logarithmic Schrödinger equations on locally finite graphs. - Xiaojun Chang; Vicentiu D. Radulescu; Ru Wang; Duokui Yan (Commun. Nonlinear Sci. Numer. Simul., 2023)

RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation. - Lingling Zhang 005; Xinyu Zhang 021; Qianying Wang; Wenjun Wu; Xiaojun Chang; Jun Liu 002 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Attribute-Guided Collaborative Learning for Partial Person Re-Identification. - Haoyu Zhang; Meng Liu 006; Yuhong Li; Ming Yan 008; Zan Gao; Xiaojun Chang; Liqiang Nie (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Guang Dai; Xiaojun Chang; Jingdong Wang 001 (AAAI, 2024)

SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Guang Dai; Xiaojun Chang; Mengmeng Wang 005; Jingdong Wang 001 (AAAI, 2024)

ProAgent: Building Proactive Cooperative Agents with Large Language Models. - Ceyao Zhang; Kaijie Yang; Siyi Hu; Zihao Wang; Guanghe Li; Yihang Sun; Cheng Zhang; Zhaowei Zhang; Anji Liu; Song-Chun Zhu; Xiaojun Chang; Junge Zhang; et al. (AAAI, 2024)

Act Like a Radiologist: Radiology Report Generation Across Anatomical Regions. - Qi Chen 014; Yutong Xie 001; Biao Wu 006; Xiaomin Chen; James Ang; Minh-Son To; Xiaojun Chang; Qi Wu 001 (ACCV (6), 2024)

Video Recognition in Portrait Mode. - Mingfei Han 002; Linjie Yang; Xiaojie Jin; Jiashi Feng; Xiaojun Chang; Heng Wang (CVPR, 2024)

MLP Can Be a Good Transformer Learner. - Sihao Lin; Pumeng Lyu; Dongrui Liu; Tao Tang; Xiaodan Liang; Andy Song; Xiaojun Chang (CVPR, 2024)

Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. - Mingjie Li 006; Haokun Lin; Liang Qiu; Xiaodan Liang; Ling Chen 006; Abdulmotaleb Elsaddik; Xiaojun Chang (ECCV (43), 2024)

LongVLM: Efficient Long Video Understanding via Large Language Models. - Yuetian Weng; Mingfei Han 002; Haoyu He 001; Xiaojun Chang; Bohan Zhuang (ECCV (33), 2024)

Label-Anticipated Event Disentanglement for Audio-Visual Video Parsing. - Jinxing Zhou; Dan Guo 001; Yuxin Mao; Yiran Zhong; Xiaojun Chang; Meng Wang 001 (ECCV (10), 2024)

Maximum Entropy Heterogeneous-Agent Reinforcement Learning. - Jiarong Liu; Yifan Zhong; Siyi Hu; Haobo Fu; Qiang Fu 016; Xiaojun Chang; Yaodong Yang 001 (ICLR, 2024)

SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS. - Yameng Peng; Andy Song; Haytham M. Fayek; Vic Ciesielski; Xiaojun Chang (ICLR, 2024)

Masked Distillation Advances Self-Supervised Transformer Architecture Search. - Caixia Yan; Xiaojun Chang; Zhihui Li 001; Lina Yao 001; Minnan Luo; Qinghua Zheng (ICLR, 2024)

Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition. - Chengyou Jia; Minnan Luo; Xiaojun Chang; Zhuohang Dang; Mingfei Han 002; Mengmeng Wang 005; Guang Dai; Sizhe Dang; Jingdong Wang 001 (ACM Multimedia, 2024)

In-Context Learning for Zero-shot Medical Report Generation. - Rui Liu; Mingjie Li 006; Shen Zhao; Ling Chen 006; Xiaojun Chang; Lina Yao 001 (ACM Multimedia, 2024)

MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. - Hongtao Huang; Xiaojun Chang; Wen Hu 001; Lina Yao 001 (WWW, 2024)

Self-Supervised Multi-Frame Neural Scene Flow. - Dongrui Liu; Daqi Liu; Xueqian Li; Sihao Lin; Hongwei Xie; Bing Wang 013; Xiaojun Chang; Lei Chu (CoRR, 2024)

Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. - Gexin Huang; Chenfei Wu; Mingjie Li 006; Xiaojun Chang; Ling Chen 006; Ying Sun 001; Shen Zhao; Xiaodan Liang; Liang Lin (CoRR, 2024)

Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection. - Junfei Yi; Jianxu Mao; Tengfei Liu; Mingjie Li 006; Hanyu Gu; Hui Zhang 023; Xiaojun Chang; Yaonan Wang 001 (CoRR, 2024)

RealCustom++: Representing Images as Real-Word for Real-Time Customization. - Zhendong Mao 001; Mengqi Huang; Fei Ding; Mingcong Liu; Qian He; Xiaojun Chang; Yong-Dong Zhang 001 (CoRR, 2024)

Medical Report Generation Is A Multi-label Classification Problem. - Yijian Fan; Zhenbang Yang; Rui Liu; Mingjie Li 006; Xiaojun Chang (CoRR, 2024)

Flexiffusion: Segment-wise Neural Architecture Search for Flexible Denoising Schedule. - Hongtao Huang; Xiaojun Chang; Lina Yao 001 (CoRR, 2024)

Efficient Training of Large Vision Models via Advanced Automated Progressive Learning. - Changlin Li; Jiawei Zhang; Sihao Lin; Zongxin Yang; Junwei Liang 001; Xiaodan Liang; Xiaojun Chang (CoRR, 2024)

ContextDet: Temporal Action Detection with Adaptive Context Aggregation. - Ning Wang; Yun Xiao; Xiaopeng Peng 001; Xiaojun Chang; Xuanhong Wang; Dingyi Fang (CoRR, 2024)

Dual Conditional Diffusion Models for Sequential Recommendation. - Hongtao Huang; Chengkai Huang; Xiaojun Chang; Wen Hu 001; Lina Yao 001 (CoRR, 2024)

StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration. - Panwen Hu; Jin Jiang; Jianqi Chen; Mingfei Han 002; Shengcai Liao; Xiaojun Chang; Xiaodan Liang (CoRR, 2024)

GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation. - Pengfei Zhou; Xiaopeng Peng 001; Jiajun Song; Chuanhao Li 001; Zhaopan Xu; Yue Yang; Ziyao Guo; Hao Zhang 117; Yuqi Lin; Yefei He; Lirui Zhao; Shuo Liu; et al. (CoRR, 2024)

Accelerating one-shot neural architecture search via constructing a sparse search space. - Hongtao Huang; Xiaojun Chang; Lina Yao 001 (Knowl. Based Syst., 2024)

NRGlassNet: Glass surface detection from visible and near-infrared image pairs. - Tao Yan 001; Shufan Xu; Hao Huang; Helong Li; Lu Tan; Xiaojun Chang; Rynson W. H. Lau (Knowl. Based Syst., 2024)

DCS-Gait: A Class-Level Domain Adaptation Approach for Cross-Scene and Cross-State Gait Recognition Using Wi-Fi CSI. - Ying Liang; Wenjie Wu; Haobo Li 004; Xiaojun Chang; Xiaojiang Chen; Jinye Peng; Pengfei Xu 003 (IEEE Trans. Inf. Forensics Secur., 2024)

Thermal Infrared Target Tracking: A Comprehensive Review. - Di Yuan 002; Haiping Zhang; Xiu Shu; Qiao Liu 001; Xiaojun Chang; Zhenyu He 001; Guangming Shi (IEEE Trans. Instrum. Meas., 2024)

A Comprehensive Review of RGBT Tracking. - Haiping Zhang; Di Yuan 002; Xiu Shu; Zhihui Li 001; Qiao Liu 001; Xiaojun Chang; Zhenyu He 001; Guangming Shi (IEEE Trans. Instrum. Meas., 2024)

Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning. - Zhuohang Dang; Minnan Luo; Jihong Wang 003; Chengyou Jia; Caixia Yan; Guang Dai; Xiaojun Chang; Qinghua Zheng (IEEE Trans. Image Process., 2024)

Progressive Frame-Proposal Mining for Weakly Supervised Video Object Detection. - Mingfei Han 002; Yali Wang 001; Mingjie Li 006; Xiaojun Chang; Yi Yang 001; Yu Qiao 001 (IEEE Trans. Image Process., 2024)

Guided Image-to-Image Translation by Discriminator-Generator Communication. - Yuanjiang Cao; Lina Yao 001; Le Pan; Quan Z. Sheng; Xiaojun Chang (IEEE Trans. Multim., 2024)

Context Matters: Distilling Knowledge Graph for Enhanced Object Detection. - Aijia Yang; Sihao Lin; Chung-Hsing Yeh; Minglei Shu; Yi Yang 001; Xiaojun Chang (IEEE Trans. Multim., 2024)

Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xiaojun Chang; Wei Fang 001; Xiaojun Wu 001; Abdulmotaleb El-Saddik (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Semantics-Guided Contrastive Network for Zero-Shot Object Detection. - Caixia Yan; Xiaojun Chang; Minnan Luo; Huan Liu 012; Xiaoqin Zhang 002; Qinghua Zheng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Voice-Face Homogeneity Tells Deepfake. - Harry Cheng 002; Yangyang Guo; Tianyi Wang 006; Qi Li; Xiaojun Chang; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Self-supervised discriminative model prediction for visual tracking. - Di Yuan 002; Gu Geng; Xiu Shu; Qiao Liu 001; Xiaojun Chang; Zhenyu He 001; Guangming Shi (Neural Comput. Appl., 2024)

Stochastic Latent Talking Face Generation Toward Emotional Expressions and Head Poses. - Zhicheng Sheng; Liqiang Nie; Min Zhang 005; Xiaojun Chang; Yan Yan 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

BDAL: Balanced Distribution Active Learning for MRI Cardiac Multistructures Segmentation. - Xiu Shu; Yunyun Yang; Jun Liu 036; Xiaojun Chang; Boying Wu (IEEE Trans. Ind. Informatics, 2024)

DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. - Guangrun Wang; Changlin Li; Liuchun Yuan; Jiefeng Peng; Xiaoyu Xian; Xiaodan Liang; Xiaojun Chang; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition. - Yao Liu 017; Gangfeng Cui; Jiahui Luo; Xiaojun Chang; Lina Yao 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Single Object Tracking Benchmark. - Qiao Liu 001; Xin Li 034; Di Yuan 002; Chao Yang; Xiaojun Chang; Zhenyu He 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

CStrCRL: Cross-View Contrastive Learning Through Gated GCN With Strong Augmentations for Skeleton Recognition. - Ruotong Hu; Xianzhi Wang 001; Xiaojun Chang; Yongle Zhang; Yeqi Hu; Xinyuan Liu 001; Shusong Yu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks. - Bo Lyu; Shiping Wen 001; Yin Yang 001; Xiaojun Chang; Junwei Sun; Yiran Chen 001; Tingwen Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cross-Domain Transfer Hashing for Efficient Cross-Modal Retrieval. - Fengling Li 001; Bowen Wang; Lei Zhu 002; Jingjing Li 001; Zheng Zhang 006; Xiaojun Chang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Active Learning for Deep Visual Tracking. - Di Yuan 002; Xiaojun Chang; Qiao Liu 001; Yi Yang 001; Dehua Wang; Minglei Shu; Zhenyu He 001; Guangming Shi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Visual Out-of-Distribution Detection in Open-Set Noisy Environments. - Rundong He; Zhongyi Han; Xiushan Nie; Yilong Yin; Xiaojun Chang (Int. J. Comput. Vis., 2024)

GLGFN: Global-Local Grafting Fusion Network for High-Resolution Image Deraining. - Tao Yan 001; Xiangjie Zhu; Xianglong Chen; Weijiang He; Chenglong Wang; Yang Yang 046; Yinghui Wang 001; Xiaojun Chang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Disentangled Representation Learning With Transmitted Information Bottleneck. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Guang Dai; Jihong Wang 003; Xiaojun Chang; Jingdong Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Mutually-Guided Hierarchical Multi-Modal Feature Learning for Referring Image Segmentation. - Jiachen Li 002; Qing Xie 002; Xiaojun Chang; Jinyu Xu; Yongjian Liu (ACM Trans. Multim. Comput. Commun. Appl., 2024)

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. - Tengfei Liu; Jiapu Wang; Yongli Hu; Mingjie Li 006; Junfei Yi; Xiaojun Chang; Junbin Gao; Baocai Yin (AAAI, 2025)

Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration. - Ziheng Zhou; Jinxing Zhou; Wei Qian; Shengeng Tang; Xiaojun Chang; Dan Guo 001 (AAAI, 2025)

RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation. - Mingfei Han 002; Liang Ma; Kamila Zhumakhanova; Ekaterina Radionova; Jingyi Zhang; Xiaojun Chang; Xiaodan Liang; Ivan Laptev (CVPR, 2025)

OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation. - Pengfei Zhou; Xiaopeng Peng 001; Jiajun Song; Chuanhao Li 001; Zhaopan Xu; Yue Yang; Ziyao Guo; Hao Zhang 117; Yuqi Lin; Yefei He; Lirui Zhao; Shuo Liu; et al. (CVPR, 2025)

Towards Open-Vocabulary Audio-Visual Event Localization. - Jinxing Zhou; Dan Guo 001; Ruohao Guo; Yuxin Mao; Jingjing Hu; Yiran Zhong; Xiaojun Chang; Meng Wang 001 (CVPR, 2025)

Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos. - Mingfei Han 002; Linjie Yang; Xiaojun Chang; Lina Yao 001; Heng Wang (ICLR, 2025)

Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes. - Jianqi Chen; Panwen Hu; Xiaojun Chang; Zhenwei Shi; Michael Kampffmeyer; Xiaodan Liang (ICLR, 2025)

Standing waves with prescribed mass for NLS equations with Hardy potential in the half-space under Neumann boundary condition. - Yuxuan Zhang; Xiaojun Chang; Lin Chen (Commun. Nonlinear Sci. Numer. Simul., 2025)

Variational methods with application to medical image segmentation: A survey. - Xiu Shu; Zhihui Li 001; Xiaojun Chang; Di Yuan 002 (Neurocomputing, 2025)

An active learning model based on image similarity for skin lesion segmentation. - Xiu Shu; Zhihui Li 001; Chunwei Tian; Xiaojun Chang; Di Yuan 002 (Neurocomputing, 2025)

Mining the Salient Spatio-Temporal Feature with S2TF-Net for action recognition. - Xiaoxi Liu; Ju Liu; Lingchen Gu; Yafeng Li; Xiaojun Chang; Feiping Nie 001 (Signal Process. Image Commun., 2025)

APANet: Asymmetrical Parallax Attention Network for Efficient Stereo Image Deraining. - Chenglong Wang; Tao Yan 001; Weilong Huang; Xianglong Chen; Ke Xu 010; Xiaojun Chang (IEEE Trans. Computational Imaging, 2025)

Disentangled Noisy Correspondence Learning. - Zhuohang Dang; Minnan Luo; Jihong Wang 003; Chengyou Jia; Haochen Han; Herun Wan; Guang Dai; Xiaojun Chang; Jingdong Wang 001 (IEEE Trans. Image Process., 2025)

Fast Partial-Modal Online Cross-Modal Hashing. - Fengling Li 001; Yang Sun; Tianshi Wang; Lei Zhu 002; Xiaojun Chang (IEEE Trans. Image Process., 2025)

Consistency-Queried Transformer for Audio-Visual Segmentation. - Ying Lv; Zhi Liu 003; Xiaojun Chang (IEEE Trans. Image Process., 2025)

Attention Guidance by Cross-Domain Supervision Signals for Scene Text Recognition. - Fanfu Xue; Jiande Sun 001; Yaqi Xue; Qiang Wu 009; Lei Zhu 002; Xiaojun Chang; Sen-Ching S. Cheung (IEEE Trans. Image Process., 2025)

FMSD: Focal Multi-Scale Shape-Feature Distillation Network for Small Fasteners Detection in Electric Power Scene. - Junfei Yi; Jianxu Mao; Hui Zhang 023; Mingjie Li 006; Kai Zeng 010; Mingtao Feng; Xiaojun Chang; Yaonan Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Learning A Zero-shot Occupancy Network from Vision Foundation Models via Self-supervised Adaptation. - Sihao Lin; Daqi Liu; Ruochong Fu; Dongrui Liu; Andy Song; Hongwei Xie; Zhihui Li 001; Bing Wang 013; Xiaojun Chang (CoRR, 2025)

MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models. - Pengfei Zhou; Fanrui Zhang; Xiaopeng Peng 001; Zhaopan Xu; Jiaxin Ai; Yansheng Qiu; Chuanhao Li 001; Zhen Li 026; Ming Li; Yukang Feng; Jianwen Sun; Haoquan Zhang; et al. (CoRR, 2025)

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization. - Shuai Gong; Chaoran Cui; Xiaolin Dong; Xiushan Nie; Lei Zhu 002; Xiaojun Chang (CoRR, 2025)

DHVT: Dynamic Hybrid Vision Transformer for Small Dataset Recognition. - Zhiying Lu; Chuanbin Liu 001; Xiaojun Chang; Yongdong Zhang 001; Hongtao Xie (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

TDGI: Translation-Guided Double-Graph Inference for Document-Level Relation Extraction. - Lingling Zhang 005; Yujie Zhong; Qinghua Zheng; Jun Liu 002; Qianying Wang; Jiaxin Wang 002; Xiaojun Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

CoNav: Collaborative Cross-Modal Reasoning for Embodied Navigation. - Haihong Hao; Mingfei Han 002; Changlin Li; Zhihui Li 001; Xiaojun Chang (CoRR, 2025)

Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learning. - Meng Cao 002; Haoze Zhao; Can Zhang 001; Xiaojun Chang; Ian Reid 003; Xiaodan Liang (CoRR, 2025)

BossNAS Family: Block-Wisely Self-Supervised Neural Architecture Search. - Changlin Li; Sihao Lin; Tang Tao; Guangrun Wang; Mingjie Li 006; Xiaodan Liang; Xiaojun Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Multi-Modal Dataset Distillation in the Wild. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Hangwei Qian; Xiaojun Chang; Ivor W. Tsang (CoRR, 2025)

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation. - Jinxing Zhou; Zhihui Li 001; Yongqiang Yu; Yanghao Zhou; Ruohao Guo; Guangyao Li; Yuxin Mao; Mingfei Han 002; Xiaojun Chang; Meng Wang 001 (CoRR, 2025)

PSDiff: Diffusion Model for Person Search With Iterative and Collaborative Refinement. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Guang Dai; Xiaojun Chang; Jingdong Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Tackling Real-World Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification. - Tengfei Liu; Yongli Hu; Mingjie Li 006; Junfei Yi; Xiaojun Chang; Junbin Gao; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2025)

Video Corpus Moment Retrieval With Query-Specific Context Learning and Progressive Localization. - Long Zhang; Peipei Song; Zhangling Duan; Shuo Wang 008; Xiaojun Chang; Xun Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Neural-Driven Image Editing. - Pengfei Zhou; Jie Xia; Xiaopeng Peng 001; Wangbo Zhao; Zilong Ye; Zekai Li; Suorong Yang; Jiadong Pan; Yuanxiang Chen; Ziqiao Wang; Kai Wang 036; Qian Zheng; et al. (CoRR, 2025)

NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning. - Bingqian Lin; Yunshuang Nie; Ziming Wei; Jiaqi Chen; Shikui Ma; Jianhua Han; Hang Xu 004; Xiaojun Chang; Xiaodan Liang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Think Before You Segment: An Object-aware Reasoning Agent for Referring Audio-Visual Segmentation. - Jinxing Zhou; Yanghao Zhou; Mingfei Han 002; Tong Wang 022; Xiaojun Chang; Hisham Cholakkal; Rao Muhammad Anwer (CoRR, 2025)

MDK12-Bench: A Comprehensive Evaluation of Multimodal Large Language Models on Multidisciplinary Exams. - Pengfei Zhou; Xiaopeng Peng 001; Fanrui Zhang; Zhaopan Xu; Jiaxin Ai; Yansheng Qiu; Chuanhao Li 001; Zhen Li 026; Ming Li; Yukang Feng; Jianwen Sun; Haoquan Zhang; et al. (CoRR, 2025)

Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding. - Jingjing Hu; Dan Guo 001; Kun Li 008; Zhan Si; Xun Yang 001; Xiaojun Chang; Meng Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Adaptive Trajectory Correction for Underwater Object Tracking. - Xudong Luo; Di Yuan 002; Xiu Shu; Qiao Liu 001; Xiaojun Chang; Zhenyu He 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Scalable Multi-View Regression Clustering for Large-Scale Data. - Xiaowei Zhao 002; Jie Fan; Xiaojun Chang; Feiping Nie 001; Qiang Zhang 020; Jun Guo (IEEE Trans. Circuits Syst. Video Technol., 2025)

Guest Editorial: Domain Adaptation and Generalization for Biomedical and Health Informatics. - Zheng Zhang 006; Jingjing Li 001; Xiaojun Chang; Eugene Yu-Dong Zhang (IEEE J. Biomed. Health Informatics, 2025)

A Static-Dynamic Composition Framework for Efficient Action Recognition. - Xu Chen 053; Yahong Han; Changlin Li; Xiaojun Chang; Yifan Sun 003; Yi Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-domain Recommendation. - Lei Guo 008; Chenlong Song; Feng Guo; Xiaohui Han; Xiaojun Chang; Lei Zhu 002 (ACM Trans. Inf. Syst., 2025)

Self-supervised transformer architecture search via multi-level masked information fusion. - Caixia Yan; Xiaojun Chang; Weizhan Zhang; Zhihui Li 001; Lina Yao 001; Minnan Luo; Feng Tian 002 (Inf. Fusion, 2026)