| 2026 | AAAI | Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement. | Fangrui Lv, Lei Wang, Ruixin Hong, Yong Du, Xiangyu Wu, Tingting Gao, Guorui Zhou, Changshui Zhang |
| 2026 | AAAI | Kronos: A Foundation Model for the Language of Financial Markets. | Yu Shi, Zongliang Fu, Shuo Chen, Bohan Zhao, Wei Xu, Changshui Zhang, Jian Li |
| 2025 | ACL | Assimilation and Accommodation: Task-Adaptive Hierarchical Abstraction for Solving Web Tasks. | Xinyu Pang, Ruixin Hong, Hongming Zhang, Changshui Zhang |
| 2025 | COLING | Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models. | Xinyu Pang, Ruixin Hong, Zhanke Zhou, Fangrui Lv, Xinwei Yang, Zhilong Liang, Bo Han, Changshui Zhang |
| 2025 | ICML | Learning without Isolation: Pathway Protection for Continual Learning. | Zhikang Chen, Abudukelimu Wuerkaixi, Sen Cui, Haoxuan Li, Ding Li, Jingfeng Zhang, Bo Han, Gang Niu, Houfang Liu, Yi Yang, Sifan Yang, Changshui Zhang, Tianling Ren |
| 2025 | ICML | Adaptive Localization of Knowledge Negation for Continual LLM Unlearning. | Abudukelimu Wuerkaixi, Qizhou Wang, Sen Cui, Wutong Xu, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang |
| 2025 | ICML | CALM: Consensus-Aware Localized Merging for Multi-Task Learning. | Kunda Yan, Min Zhang, Sen Cui, Zikun Qu, Bo Jiang, Feng Liu, Changshui Zhang |
| 2024 | ACL | CLOMO: Counterfactual Logical Modification with Large Language Models. | Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song |
| 2024 | EMNLP | Abstraction-of-Thought Makes Language Models Better Reasoners. | Ruixin Hong, Hongming Zhang, Xiaoman Pan, Dong Yu, Changshui Zhang |
| 2024 | EMNLP | Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation. | Fangrui Lv, Kaixiong Gong, Jian Liang, Xinyu Pang, Changshui Zhang |
| 2024 | ICASSP | Learned ISTA with Error-Based Thresholding for Adaptive Sparse Coding. | Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang |
| 2024 | ICLR | CLAP: Collaborative Adaptation for Patchwork Learning. | Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang |
| 2024 | ICLR | Accurate Forgetting for Heterogeneous Federated Continual Learning. | Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama |
| 2024 | ICML | Balancing Similarity and Complementarity for Federated Learning. | Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang |
| 2024 | NAACL | A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning. | Ruixin Hong, Hongming Zhang, Xinyu Pang, Dong Yu, Changshui Zhang |
| 2023 | AAAI | Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. | Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao |
| 2023 | ACL | Faithful Question Answering with Monte-Carlo Planning. | Ruixin Hong, Hongming Zhang, Hong Zhao, Dong Yu, Changshui Zhang |
| 2022 | CVPR | GreedyNASv2: Greedier Search with a Greedy Path Filter. | Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu |
| 2022 | ECCV | ViTAS: Vision Transformer Architecture Search. | Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiao-Gang Wang, Chang Xu |
| 2022 | EMNLP | MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. | Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, Dong Yu |
| 2022 | ICASSP | Leveraging Sparse Coding for EEG Based Emotion Recognition in Shooting. | Yulu Wang, Yiwen Sun, Lei Fang, Changshui Zhang |
| 2022 | ICASSP | Data Agnostic Filter Gating For Efficient Deep Networks. | Hongyan Xu, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya |
| 2022 | KDD | Collaboration Equilibrium in Federated Learning. | Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang |
| 2022 | MMSP | DyViSE: Dynamic Vision-Guided Speaker Embedding for Audio-Visual Speaker Diarization. | Abudukelimu Wuerkaixi, Kunda Yan, You Zhang, Zhiyao Duan, Changshui Zhang |
| 2022 | NAACL | METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation. | Ruixin Hong, Hongming Zhang, Xintong Yu, Changshui Zhang |
| 2021 | CVPR | Learning a Proposal Classifier for Multiple Object Tracking. | Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding |
| 2021 | CVPR | Prioritized Architecture Sampling With Monto-Carlo Tree Search. | Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu |
| 2021 | CVPR | BCNet: Searching for Network Width With Bilaterally Coupled Network. | Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu |
| 2021 | EMNLP | Exophoric Pronoun Resolution in Dialogues with Topic Regularization. | Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu, Dong Yu |
| 2021 | FIE | A Trans-regional Online and Offline Fusion Lab Teaching Practice Through Cross-university Cooperation. | Yanpin Ren, Changshui Zhang |
| 2021 | ICASSP | FMA-ETA: Estimating Travel Time Entirely Based on FFN with Attention. | Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Ziang Yan, Changshui Zhang, Jieping Ye |
| 2021 | ICCV | Learning with Privileged Tasks. | Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang |
| 2021 | ICCV | Weakly Supervised Contrastive Learning. | Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu |
| 2021 | ICLR | Locally Free Weight Sharing for Network Width Search. | Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu |
| 2021 | ICLR | Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. | Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang |
| 2021 | ICML | K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. | Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu |
| 2021 | KDD | Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. | Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang |
| 2021 | KDD | Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. | Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang |
| 2021 | KDD | Workshop on Model Mining. | Shan You, Chang Xu, Fei Wang, Changshui Zhang |
| 2020 | AAAI | RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. | Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang |
| 2020 | AAAI | Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. | Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang |
| 2020 | CVPR | Few Sample Knowledge Distillation for Efficient Network Compression. | Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang |
| 2020 | CVPR | Boosting Semantic Human Matting With Coarse Annotations. | Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-Sheng Hua |
| 2020 | CVPR | GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet. | Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang |
| 2020 | FIE | An Overview of Signal Processing Engineering Education in China. | Yanpin Ren, Qing Zhuo, Yi Yang, Changshui Zhang |
| 2020 | ICASSP | Adversarial Attacks on Deep Unfolded Networks for Sparse Coding. | Yulu Wang, Kailun Wu, Changshui Zhang |
| 2020 | ICLR | Sparse Coding with Gated Learned ISTA. | Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang |
| 2020 | ICML | Semismooth Newton Algorithm for Efficient Projections onto ℓ | Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao |
| 2020 | IJCNN | Diversity in Neural Architecture Search. | Wenzheng Hu, Mingyang Li, Changhe Yuan, Changshui Zhang, Jianqiang Wang |
| 2020 | ICPR | Road Network Metric Learning for Estimated Time of Arrival. | Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye |
| 2020 | ICPR | Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting. | Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye |
| 2019 | EMNLP | What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues. | Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang |
| 2019 | IJCNN | Image Captioning with Partially Rewarded Imitation Learning. | Xintong Yu, Tszhang Guo, Kun Fu, Lei Li, Changshui Zhang, Jianwei Zhang |
| 2018 | ICASSP | Multi-Scale Recurrent Neural Network for Sound Event Detection. | Rui Lu, Zhiyao Duan, Changshui Zhang |
| 2018 | ICPR | Deep Generative Adversarial Networks for the Sparse Signal Denoising. | Kailun Wu, Changshui Zhang |
| 2018 | ICTAI | Boosting Few-Shot Image Recognition Via Domain Alignment Prototypical Networks. | Jiang Lu, Zhong Cao, Kailun Wu, Gang Zhang, Changshui Zhang |
| 2017 | CVPR | Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization. | Runpeng Cui, Hu Liu, Changshui Zhang |
| 2017 | ICASSP | Deep ranking: Triplet MatchNet for music metric learning. | Rui Lu, Kailun Wu, Zhiyao Duan, Changshui Zhang |
| 2017 | ICCV | Learning Efficient Convolutional Networks through Network Slimming. | Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang |
| 2017 | SMC | Robust text image alignment with template for information retrieval. | Chengzhe Yan, Jie Hu, Runpeng Cui, Changshui Zhang |
| 2017 | SMC | Rare Chinese character recognition by Radical Extraction Network. | Ziang Yan, Chengzhe Yan, Changshui Zhang |
| 2016 | IJCNN | Learning with only multiple instance positive bags. | Zhigang Wang, Zeng-Shun Zhao, Changshui Zhang |
| 2015 | SMC | Visual Tracking via Part-Based Model with Auxiliary Objects. | Runpeng Cui, Guangdong Hou, Changshui Zhang |
| 2015 | SMC | A Real-Time Hand Pose Estimation System with Retrieval. | Guangdong Hou, Runpeng Cui, Changshui Zhang |
| 2014 | AISTATS | Non-Asymptotic Analysis of Relational Learning with One Network. | Peng He, Changshui Zhang |
| 2014 | AISTATS | Exploiting the Limits of Structure Learning via Inherent Symmetry. | Peng He, Changshui Zhang |
| 2014 | CVPR | Seeing the Arrow of Time. | Lyndsey C. Pickup, Zheng Pan, Donglai Wei, Yi-Chang Shih, Changshui Zhang, Andrew Zisserman, Bernhard Schlkopf, William T. Freeman |
| 2014 | PAKDD | Domain Transfer via Multiple Sources Regularization. | Shaofeng Hu, Jiangtao Ren, Changshui Zhang, Chaogui Zhang |
| 2014 | UAI | Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property. | Ming Lin, Rong Jin, Changshui Zhang |
| 2013 | AISTATS | High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers. | Zheng Pan, Changshui Zhang |
| 2013 | ICASSP | Efficient blind separation of reflection layers with nonparametric transformations. | Han Li, Kun Gai, Pinghua Gong, Changshui Zhang |
| 2013 | ICML | A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. | Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye |
| 2013 | IJCNN | Robust non-negative matrix factorization via joint sparse and graph regularization. | Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu, Shifeng Weng |
| 2013 | ISNN | SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples. | Zhigang Wang, Zeng-Shun Zhao, Changshui Zhang |
| 2012 | AAAI | Efficient Multi-Stage Conjugate Gradient for Trust Region Step. | Pinghua Gong, Changshui Zhang |
| 2012 | IJCNN | Learning similarity metric with SVM. | Xiaoqiang Zhu, Pinghua Gong, Zeng-Shun Zhao, Changshui Zhang |
| 2012 | KDD | Robust multi-task feature learning. | Pinghua Gong, Jieping Ye, Changshui Zhang |
| 2011 | ICNC | Patterns classification of nonlinear multi-dimensional time series based on manifold learning. | Jian Cheng, Changshui Zhang, Yi-Nan Guo |
| 2011 | IJCAI | A Fast Dual Projected Newton Method for l | Pinghua Gong, Changshui Zhang |
| 2011 | IJCNN | Topic model with constrainted word burstiness intensities. | Shaoze Lei, Jianwen Zhang, Shifeng Weng, Changshui Zhang |
| 2011 | SAC | Mining interlacing manifolds in high dimensional spaces. | Tao Ban, Changshui Zhang, Shigeo Abe, Takeshi Takahashi, Youki Kadobayashi |
| 2010 | AAAI | What if the Irresponsible Teachers Are Dominating? | Shuo Chen, Jianwen Zhang, Guangyun Chen, Changshui Zhang |
| 2010 | AAAI | Learning Discriminative Piecewise Linear Models with Boundary Points. | Kun Gai, Changshui Zhang |
| 2010 | AAAI | Multitask Bregman Clustering. | Jianwen Zhang, Changshui Zhang |
| 2010 | ALT | Compressed Learning with Regular Concept. | Jiawei Lv, Jianwen Zhang, Fei Wang, Zheng Wang, Changshui Zhang |
| 2010 | ICDM | Homotopy Regularization for Boosting. | Zheng Wang, Yangqiu Song, Changshui Zhang |
| 2010 | KDD | Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora. | Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shixia Liu |
| 2009 | CIKM | Instance- and bag-level manifold regularization for aggregate outputs classification. | Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang |
| 2009 | CIKM | Efficient multi-class unlabeled constrained semi-supervised SVM. | Mingjie Qian, Feiping Nie, Changshui Zhang |
| 2009 | CVPR | Efficient multi-label classification with hypergraph regularization. | Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao |
| 2009 | CVPR | Blind separation of superimposed images with unknown motions. | Kun Gai, Zhenwei Shi, Changshui Zhang |
| 2009 | CVPR | Unsupervised Maximum Margin Feature Selection with manifold regularization. | Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang |
| 2009 | ICDM | Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model. | Guangyun Chen, Gang Chen, Jianwen Zhang, Shuo Chen, Changshui Zhang |
| 2009 | ICDM | Kernel K-means Based Framework for Aggregate Outputs Classification. | Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang |
| 2009 | ICDM | Sparse Norm-Regularized Reconstructive Coefficients Learning. | Bin Liu, Shuo Chen, Mingjie Qian, Changshui Zhang |
| 2009 | ICDM | Probabilistic Labeled Semi-supervised SVM. | Mingjie Qian, Feiping Nie, Changshui Zhang |
| 2009 | ICDM | Maximum Margin Clustering with Multivariate Loss Function. | Bin Zhao, James Tin-Yau Kwok, Changshui Zhang |
| 2009 | ICDM | Compressed Spectral Clustering. | Bin Zhao, Changshui Zhang |
| 2009 | IJCAI | Selecting Informative Universum Sample for Semi-Supervised Learning. | Shuo Chen, Changshui Zhang |
| 2009 | IJCAI | Semi-Supervised Classification on Evolutionary Data. | Yangqing Jia, Shuicheng Yan, Changshui Zhang |
| 2009 | IJCAI | Spectral Embedded Clustering. | Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang |
| 2009 | IJCAI | Knowledge Transfer on Hybrid Graph. | Zheng Wang, Yangqiu Song, Changshui Zhang |
| 2009 | IJCAI | On-line Evolutionary Exponential Family Mixture. | Jianwen Zhang, Yangqiu Song, Gang Chen, Changshui Zhang |
| 2009 | IJCNN | A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography. | Shijun Wang, Ronald M. Summers, Changshui Zhang |
| 2009 | SDM | Efficient Active Learning with Boosting. | Zheng Wang, Yangqiu Song, Changshui Zhang |
| 2009 | SDM | Multiple Kernel Clustering. | Bin Zhao, James T. Kwok, Changshui Zhang |
| 2008 | AAAI | Instance-level Semisupervised Multiple Instance Learning. | Yangqing Jia, Changshui Zhang |
| 2008 | AAAI | Trace Ratio Criterion for Feature Selection. | Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan |
| 2008 | AAAI | Semi-supervised Classification Using Local and Global Regularization. | Fei Wang, Tao Li, Gang Wang, Changshui Zhang |
| 2008 | AAAI | On Discriminative Semi-Supervised Classification. | Fei Wang, Changshui Zhang |
| 2008 | AAAI | Multi-View Local Learning. | Dan Zhang, Fei Wang, Changshui Zhang, Tao Li |
| 2008 | CIKM | Semi-supervised ranking aggregation. | Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang |
| 2008 | CIKM | Semi-supervised metric learning by maximizing constraint margin. | Fei Wang, Shouchun Chen, Changshui Zhang, Tao Li |
| 2008 | CVPR | Transductive object cutout. | Jingyu Cui, Qiong Yang, Fang Wen, Qiying Wu, Changshui Zhang, Luc Van Gool, Xiaoou Tang |
| 2008 | CVPR | Blindly separating mixtures of multiple layers with spatial shifts. | Kun Gai, Zhenwei Shi, Changshui Zhang |
| 2008 | CVPR | Normalized tree partitioning for image segmentation. | Jingdong Wang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan |
| 2008 | ICASSP | Towards optimal query design for relevance feedback in image retrieval. | Jingyu Cui, Changshui Zhang |
| 2008 | ICASSP | Active model selection for Graph-Based Semi-Supervised Learning. | Bin Zhao, Fei Wang, Changshui Zhang, Yangqiu Song |
| 2008 | ICDM | Maximum Margin Embedding. | Bin Zhao, Fei Wang, Changshui Zhang |
| 2008 | ICIP | Augmented tree partitioning for interactive image segmentation. | Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua |
| 2008 | ICIP | Learning distance metric for semi-supervised image segmentation. | Yangqing Jia, Changshui Zhang |
| 2008 | ICIP | Localized content based image retrieval by multiple instance active learning. | Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang |
| 2008 | ICML | Efficient multiclass maximum margin clustering. | Bin Zhao, Fei Wang, Changshui Zhang |
| 2008 | ICPR | Local Regularized Least-Square Dimensionality Reduction. | Yangqing Jia, Changshui Zhang |
| 2008 | ICPR | Collaborative learning by boosting in distributed environments. | Shijun Wang, Changshui Zhang |
| 2008 | KDD | Cuts3vm: a fast semi-supervised svm algorithm. | Bin Zhao, Fei Wang, Changshui Zhang |
| 2008 | SDM | Semi-supervised Multi-label Learning by Solving a Sylvester Equation. | Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang |
| 2008 | SDM | Semi-Supervised Clustering via Matrix Factorization. | Fei Wang, Tao Li, Changshui Zhang |
| 2008 | SDM | Semi-Supervised Classification with Universum. | Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhang |
| 2008 | SDM | Efficient Maximum Margin Clustering via Cutting Plane Algorithm. | Bin Zhao, Fei Wang, Changshui Zhang |
| 2007 | AAAI | Clustering with Local and Global Regularization. | Fei Wang, Changshui Zhang, Tao Li |
| 2007 | ACCV | Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning. | Dan Zhang, Zhenwei Shi, Yangqiu Song, Changshui Zhang |
| 2007 | CIKM | Ranking with semi-supervised distance metric learning and its application to housing potential estimation. | Yangqiu Song, Bin Zhang, Wen Jun Yin, Changshui Zhang, Jin Dong |
| 2007 | CVPR | Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition. | Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang |
| 2007 | CVPR | Feature Extraction by Maximizing the Average Neighborhood Margin. | Fei Wang, Changshui Zhang |
| 2007 | CVPR | Discriminant Additive Tangent Spaces for Object Recognition. | Liang Xiong, Jianguo Li, Changshui Zhang |
| 2007 | ICASSP | Extracting the Optimal Dimensionality for Discriminant Analysis. | Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang |
| 2007 | ICASSP | Semi-Supervised Music Genre Classification. | Yangqiu Song, Changshui Zhang, Shiming Xiang |
| 2007 | ICASSP | Smoothness Maximization via Gradient Descents. | Bin Zhao, Fei Wang, Changshui Zhang |
| 2007 | ICDM | Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization. | Gang Chen, Fei Wang, Changshui Zhang |
| 2007 | ICDM | Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships. | Shouchun Chen, Fei Wang, Changshui Zhang |
| 2007 | ICDM | Multilevel Belief Propagation for Fast Inference on Markov Random Fields. | Liang Xiong, Fei Wang, Changshui Zhang |
| 2007 | IJCAI | Generalized Additive Bayesian Network Classifiers. | Jianguo Li, Changshui Zhang, Tao Wang, Yimin Zhang |
| 2007 | IJCAI | Neighborhood MinMax Projections. | Feiping Nie, Shiming Xiang, Changshui Zhang |
| 2007 | MMM | Interactive Visual Object Extraction Based on Belief Propagation. | Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang |
| 2007 | PAKDD | Embedding New Data Points for Manifold Learning Via Coordinate Propagation. | Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang |
| 2007 | SIGIR | Regularized clustering for documents. | Fei Wang, Changshui Zhang, Tao Li |
| 2007 | SDM | Fast Multilevel Transduction on Graphs. | Fei Wang, Changshui Zhang |
| 2006 | ACCV | Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning. | Shiming Xiang, Feiping Nie, Changshui Zhang |
| 2006 | ACCV | Exemplar-Based Human Contour Tracking. | Shiming Xiang, Feiping Nie, Changshui Zhang |
| 2006 | ACCV | Contour Matching Based on Belief Propagation. | Shiming Xiang, Feiping Nie, Changshui Zhang |
| 2006 | CVPR | A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images. | Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang |
| 2006 | CVPR | Semi-Supervised Classification Using Linear Neighborhood Propagation. | Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong Wang |
| 2006 | ICML | Label propagation through linear neighborhoods. | Fei Wang, Changshui Zhang |
| 2006 | IJCNN | Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition. | Zhonglin Lin, Changshui Zhang, Xiaorong Gao |
| 2006 | ISNN | Estimating Fractal Intrinsic Dimension from the Neighborhood. | Qutang Cai, Changshui Zhang |
| 2006 | SDM | A Random Walks Method for Text Classification. | Yunpeng Xu, Xing Yi, Changshui Zhang |
| 2006 | SSPR | Graph Based Multi-class Semi-supervised Learning Using Gaussian Process. | Yangqiu Song, Changshui Zhang, Jianguo Lee |
| 2005 | CIS | Fingerprint Ridge Line Extraction Based on Tracing and Directional Feedback. | Rui Ma, Yaxuan Qi, Changshui Zhang, Jiaxin Wang |
| 2005 | CVPR | A Unified Optimization Based Learning Method for Image Retrieval. | Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang |
| 2005 | DIS | Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces. | Shiliang Sun, Changshui Zhang |
| 2005 | DIS | Network Boosting for BCI Applications. | Shijun Wang, Zhonglin Lin, Changshui Zhang |
| 2005 | ICANN | Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor. | Shiliang Sun, Changshui Zhang, Yi Zhang |
| 2005 | ICASSP | Boosting Web Image Search by Co-Ranking. | Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong |
| 2005 | ICASSP | Assessing features for electroencephalographic signal categorization. | Shiliang Sun, Changshui Zhang |
| 2005 | ICCSA | On the Scale-Free Intersection Graphs. | Xin Yao, Changshui Zhang, Jinwen Chen, Yanda Li |
| 2005 | ICNC | Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting. | Shiliang Sun, Changshui Zhang |
| 2005 | IJCNN | Learning probability density functions from marginal distributions with applications to Gaussian mixtures. | Qutang Cai, Changshui Zhang, Chunyi Peng |
| 2005 | IJCNN | New boosting methods of Gaussian processes for regression. | Yangqiu Song, Changshui Zhang |
| 2005 | IJCNN | Spectral feature analysis. | Fei Wang, Jingdong Wang, Changshui Zhang |
| 2005 | MMM | Learning No-Reference Quality Metric by Examples. | Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma |
| 2004 | ICASSP | Switching ARIMA model based forecasting for traffic flow. | Guoqiang Yu, Changshui Zhang |
| 2004 | ICIP | Symmetry feature in content-based image retrieval. | Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang |
| 2004 | ICIP | No-reference quality assessment for JPEG2000 compressed images. | Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang |
| 2004 | ICML | Probabilistic tangent subspace: a unified view. | Jianguo Lee, Jingdong Wang, Changshui Zhang, Zhaoqi Bian |
| 2004 | ICPR | W-Boost and Its Application to Web Image Classification. | Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang |
| 2004 | ICPR | Relevant Linear Feature Extraction Using Side-information and Unlabeled Data. | Fei Wu, Yonglei Zhou, Changshui Zhang |
| 2004 | ICPR | Classifier Combination based on Active Learning. | Xing Yi, Zhongbao Kou, Changshui Zhang |
| 2004 | IJCNN | Learning probabilistic kernel feature subspace with side-information for classification. | Jianguo Lee, Changshui Zhang, Zhaoqi Bian |
| 2004 | IJCNN | Self-enhanced relevant component analysis with side-information and unlabeled data. | Fei Wu, Yonglei Zhou, Changshui Zhang |
| 2004 | ISNN | Learning the Supervised NLDR Mapping for Classification. | Zhonglin Lin, Shifeng Weng, Changshui Zhang, Naijiang Lu, Zhimin Xia |
| 2004 | ISNN | A New Adaptive Self-Organizing Map. | Shifeng Weng, Fai Wong, Changshui Zhang |
| 2004 | ISNN | Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data. | Changshui Zhang, Shiliang Sun, Guoqiang Yu |
| 2004 | PRICAI | Extended Nearest Feature Line Classifier. | Yonglei Zhou, Changshui Zhang, Jingchun Wang |
| 2003 | ALT | Kernel Trick Embedded Gaussian Mixture Model. | Jingdong Wang, Jianguo Lee, Changshui Zhang |
| 2003 | BMVC | An Analytical Mapping for LLE and Its Application in Multi-Pose Face Synthesis. | Jun Wang, Changshui Zhang, Zhongbao Kou |
| 2003 | DIS | Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction. | Zhongbao Kou, Ban Tao, Changshui Zhang |
| 2002 | ECCV | Hierarchical Shape Modeling for Automatic Face Localization. | Ce Liu, Heung-Yeung Shum, Changshui Zhang |
| 2001 | CVPR | A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model. | Ce Liu, Heung-Yeung Shum, Changshui Zhang |
| 2001 | CVPR | Automated Cartridge Identification for Firearm Authentication. | Jie Zhou, Le-ping Xin, Dashan Gao, Changshui Zhang, David Zhang |
| 2001 | ICIP | Palmprint recognition using crease. | Jun Chen, Changshui Zhang, Gang Rong |
| 2000 | CVPR | A Novel Algorithm for Rotated Human Face Detection. | Xiao-guang Lv, Jie Zhou, Changshui Zhang |
| 2000 | SMC | AR model for keystroker verification. | Changshui Zhang, Yanhua Sun |
| 1998 | ICPR | A fully automated face recognition system under different conditions. | Hui Peng, Changshui Zhang, Zhaoqi Bian |