| 2026 | AAAI | CAST-LUT: Tokenizer-Guided HSV Look-Up Tables for Purple Flare Removal. | Pu Wang, Shuning Sun, Jialang Lu, Chen Wu, Zhihua Zhang, Youshan Zhang, Chenggang Shan, Dianjie Lu, Guijuan Zhang, Zhuoran Zheng |
| 2026 | KSEM | Structured Knowledge-Aware Knowledge Tracing. | Xiang Xu, Guanghai Cui, Zhihua Zhang, Yuanyuan Liu, Chenyu Gao, Guangjie Kou |
| 2025 | IROS | Bioinspired Directional Adhesives Enable High Stiffness Layer Jamming in Soft Actuators | Zhihuan Wang, Linsen Xu, Mingming Wang, Liangzhi Ye, Zhihua Zhang |
| 2024 | ICARCV | Chicken Disease Diagnosis Model Using YOLOv8 Object Detection Algorithm with SE-Attention Mechanism. | Jinghui Quan, Hang Shi, Zhihua Zhang, Zhiyuan Zhao, Hongzhen Cai, Langwen Zhang, Bohui Wang |
| 2023 | AISTATS | A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning. | Xiang Li, Wenhao Yang, Jiadong Liang, Zhihua Zhang, Michael I. Jordan |
| 2023 | ICML | Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes. | Chuhan Xie, Wenhao Yang, Zhihua Zhang |
| 2023 | SEKE | Widget Hierarchy Graph Guided Crash Reproduction Method for Android Applications (S). | Gaoyi Lin, Zhihua Zhang, Zhanqi Cui |
| 2022 | ACL | MR-P: A Parallel Decoding Algorithm for Iterative Refinement Non-Autoregressive Translation. | Hao Cheng, Zhihua Zhang |
| 2022 | AISTATS | Federated Reinforcement Learning with Environment Heterogeneity. | Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang |
| 2022 | COLT | Statistical Estimation and Online Inference via Local SGD. | Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang |
| 2022 | EMNLP | Con-NAT: Contrastive Non-autoregressive Neural Machine Translation. | Hao Cheng, Zhihua Zhang |
| 2022 | ICML | On Non-local Convergence Analysis of Deep Linear Networks. | Kun Chen, Dachao Lin, Zhihua Zhang |
| 2021 | ACL | Memory-Efficient Differentiable Transformer Architecture Search. | Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen |
| 2021 | EACL | Multi-split Reversible Transformers Can Enhance Neural Machine Translation. | Yuekai Zhao, Shuchang Zhou, Zhihua Zhang |
| 2021 | ICML | Communication-Efficient Distributed SVD via Local Power Iterations. | Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang |
| 2020 | AAAI | Do Subsampled Newton Methods Work for High-Dimensional Data? | Xiang Li, Shusen Wang, Zhihua Zhang |
| 2020 | AISTATS | Efficient Spectrum-Revealing CUR Matrix Decomposition. | Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu |
| 2020 | COLING | Train Once, and Decode As You Like. | Chao Tian, Yifei Wang, Hao Cheng, Yijiang Lian, Zhihua Zhang |
| 2020 | EMNLP | Active Learning Approaches to Enhancing Neural Machine Translation: An Empirical Study. | Yuekai Zhao, Haoran Zhang, Shuchang Zhou, Zhihua Zhang |
| 2020 | ICLR | On the Convergence of FedAvg on Non-IID Data. | Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang |
| 2020 | ICML | Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems. | Guangzeng Xie, Luo Luo, Yijiang Lian, Zhihua Zhang |
| 2020 | Persuasive | Embedding Additional Behaviors into Users' Daily Routines for Improving Users' Awareness of Self-Health Condition. | Zhihua Zhang, Yuki Matsuda, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto |
| 2019 | ICML | Lipschitz Generative Adversarial Nets. | Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang |
| 2019 | PERCOM | Design of Behavior Change Environment with Interactive Signage Having Active Talk Function. | Zhihua Zhang, Yutaka Arakawa, Harri Oinas-Kukkonen |
| 2018 | AAAI | Attention-via-Attention Neural Machine Translation. | Shenjian Zhao, Zhihua Zhang |
| 2018 | KDD | Sketched Follow-The-Regularized-Leader for Online Factorization Machine. | Luo Luo, Wenpeng Zhang, Zhihua Zhang, Wenwu Zhu, Tong Zhang, Jian Pei |
| 2017 | AAAI | Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features. | Zihao Chen, Luo Luo, Zhihua Zhang |
| 2017 | AISTATS | CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC. | Tianfan Fu, Zhihua Zhang |
| 2017 | ICML | Approximate Newton Methods and Their Local Convergence. | Haishan Ye, Luo Luo, Zhihua Zhang |
| 2017 | IECON | The thrust fluctuation suppression of segmented double sided linear induction motor. | Xiao Sun, Liming Shi, Zhihua Zhang, Haibin Zhu |
| 2016 | AAAI | Wishart Mechanism for Differentially Private Principal Components Analysis. | Wuxuan Jiang, Cong Xie, Zhihua Zhang |
| 2016 | AAAI | A Scalable and Extensible Framework for Superposition-Structured Models. | Shenjian Zhao, Cong Xie, Zhihua Zhang |
| 2016 | IJCAI | Frequent Direction Algorithms for Approximate Matrix Multiplication with Applications in CCA. | Qiaomin Ye, Luo Luo, Zhihua Zhang |
| 2016 | IJCNN | Three Convolutional Neural Network-based models for learning Sentiment Word Vectors towards sentiment analysis. | Man Lan, Zhihua Zhang, Yue Lu, Ju Wu |
| 2016 | UAI | Quasi-Newton Hamiltonian Monte Carlo. | Tianfan Fu, Luo Luo, Zhihua Zhang |
| 2015 | ICML | Support Matrix Machines. | Luo Luo, Yubo Xie, Zhihua Zhang, Wu-Jun Li |
| 2015 | IJCAI | A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models. | Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes |
| 2015 | IGARSS | Testing and integration of JPSS Ozone Mapping and Profiler Suite (OMPS) algorithms using the Algorithm Development Library (ADL). | Bigyani Das, Walter Wolf, Lawrence E. Flynn, Maria Caponi, Trevor Beck, Zhihua Zhang, Jiangua Niu |
| 2014 | AAAI | Exact Subspace Clustering in Linear Time. | Shusen Wang, Bojun Tu, Congfu Xu, Zhihua Zhang |
| 2014 | AAAI | Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. | Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang |
| 2014 | AISTATS | Efficient Algorithms and Error Analysis for the Modified Nystrom Method. | Shusen Wang, Zhihua Zhang |
| 2014 | ICML | Making Fisher Discriminant Analysis Scalable. | Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian |
| 2014 | ICNC | Estimation of calibration factors using K model of scattering coefficient. | Zengguo Sun, Zhihua Zhang |
| 2014 | KDD | Improving the modified nystrm method using spectral shifting. | Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang |
| 2013 | AAAI | Large-Scale Hierarchical Classification via Stochastic Perceptron. | Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang |
| 2013 | AAAI | A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty. | Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang |
| 2013 | IJCAI | A Scalable Approach to Column-Based Low-Rank Matrix Approximation. | Yifan Pi, Haoruo Peng, Shuchang Zhou, Zhihua Zhang |
| 2013 | IJCAI | Nonconvex Relaxation Approaches to Robust Matrix Recovery. | Shusen Wang, Dehua Liu, Zhihua Zhang |
| 2013 | IFSA | Characterizing quantum channels via Wigner-Yanase skew information. | Zhihua Zhang, Lan Shu, Zhiwen Mo, Jun Zheng |
| 2012 | AAAI | Colorization by Matrix Completion. | Shusen Wang, Zhihua Zhang |
| 2011 | AAAI | A Feasible Nonconvex Relaxation Approach to Feature Selection. | Cuixia Gao, Naiyan Wang, Qi Rose Yu, Zhihua Zhang |
| 2011 | AAAI | A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products. | Hui Zhao, Jiuqiang Han, Naiyan Wang, Congfu Xu, Zhihua Zhang |
| 2011 | CVPR | A non-convex relaxation approach to sparse dictionary learning. | Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang |
| 2011 | IJCAI | Generalized Latent Factor Models for Social Network Analysis. | Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang |
| 2010 | CIKM | Learning click models via probit bayesian inference. | Yuchen Zhang, Dong Wang, Gang Wang, Weizhu Chen, Zhihua Zhang, Botao Amber Hu, Li Zhang |
| 2010 | CVPR | Sparse representation using nonnegative curds and whey. | Yanan Liu, Fei Wu, Zhihua Zhang, Yueting Zhuang, Shuicheng Yan |
| 2006 | CIKM | Adaptive non-linear clustering in data streams. | Ankur Jain, Zhihua Zhang, Edward Y. Chang |
| 2006 | UAI | Bayesian Multicategory Support Vector Machines. | Zhihua Zhang, Michael I. Jordan |
| 2005 | ICDM | A Bernoulli Relational Model for Nonlinear Embedding. | Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. Lochovsky |
| 2005 | SDM | Kronecker Factorization for Speeding up Kernel Machines. | Gang Wu, Zhihua Zhang, Edward Y. Chang |
| 2004 | AAAI | Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. | Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung |
| 2004 | ICML | Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. | Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
| 2004 | ICML | Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. | Zhihua Zhang, Dit-Yan Yeung, James T. Kwok |
| 2003 | CVPR | Bootstrapping SVM Active Learning by Incorporating Unlabelled Images for Image Retrieval. | Lei Wang, Kap Luk Chan, Zhihua Zhang |
| 2003 | ICML | Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation. | Zhihua Zhang |
| 2003 | IJCAI | Parametric Distance Metric Learning with Label Information. | Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
| 2000 | IJCNN | Deterministic Annealing Learning of the Radial Basis Function Nets for Improving the Regression Ability of RBF Network. | Nanning Zheng, Zhihua Zhang, Haibing Zheng, Shi Gang |
| 1999 | IJCNN | Self-creating and adaptive learning of RBF networks: merging soft-competition clustering algorithm with network growth technique. | Nanning Zheng, Zhihua Zhang, Gang Shi, Ying Qiao |