| 2026 | ACL | Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework. | Yibo Yan, Mingdong Ou, Yi Cao, Xin Zou, Jiahao Huo, Shuliang Liu, James T. Kwok, Xuming Hu |
| 2026 | ACL | Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block Generation. | Yuyan Zhou, Weiyu Chen, James T. Kwok |
| 2025 | ACL | Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment. | Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok |
| 2025 | AIES | Bubble, Bubble, AI's Rumble: Why Global Financial Regulatory Incident Re-Porting Is Our Shield Against Systemic Stumbles. | Anchal Gupta, Gleb Papyshev, James T. Kwok |
| 2025 | CVPR | EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. | Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu |
| 2025 | EMNLP | End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation. | Zhiyuan Fan, Longfei Yun, Ming Yan, Yumeng Wang, Dadi Guo, Brian Mak, James T. Kwok, Yi R. Fung |
| 2025 | ICCV | Depth Any Event Stream: Enhancing Event-based Monocular Depth Estimation via Dense-to-Sparse Distillation. | Jinjing Zhu, Tianbo Pan, Zidong Cao, Yexin Liu, James T. Kwok, Hui Xiong |
| 2025 | ICLR | Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization. | Hansi Yang, James T. Kwok |
| 2025 | ICML | Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging. | Weiyu Chen, James T. Kwok |
| 2025 | ICML | Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction. | Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, James T. Kwok, Yu Zhang |
| 2024 | ACL | Forward-Backward Reasoning in Large Language Models for Mathematical Verification. | Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok |
| 2024 | ECCV | Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation. | Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang |
| 2024 | ECCV | Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. | Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok |
| 2024 | ECCV | Implicit Concept Removal of Diffusion Models. | Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok |
| 2024 | ICLR | PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. | Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li |
| 2024 | ICLR | Multi-Resolution Diffusion Models for Time Series Forecasting. | Lifeng Shen, Weiyu Chen, James T. Kwok |
| 2024 | ICLR | MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. | Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu |
| 2024 | ICML | Efficient Pareto Manifold Learning with Low-Rank Structure. | Weiyu Chen, James T. Kwok |
| 2024 | ICML | Improving Sharpness-Aware Minimization by Lookahead. | Runsheng Yu, Youzhi Zhang, James T. Kwok |
| 2023 | CIKM | Positive-Unlabeled Node Classification with Structure-aware Graph Learning. | Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok |
| 2023 | CVPR | Leveraging per Image-Token Consistency for Vision-Language Pre-training. | Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang |
| 2023 | EMNLP | KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion. | Yanbin Wei, Qiushi Huang, Yu Zhang, James T. Kwok |
| 2023 | ICASSP | Cross-Modal Matching and Adaptive Graph Attention Network for RGB-D Scene Recognition. | Yuhui Guo, Xun Liang, James T. Kwok, Xiangping Zheng, Bo Wu, Yuefeng Ma |
| 2023 | ICCV | GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. | Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang |
| 2023 | ICLR | An Adaptive Policy to Employ Sharpness-Aware Minimization. | Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok |
| 2023 | ICLR | Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. | Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok |
| 2023 | ICLR | Enhancing Meta Learning via Multi-Objective Soft Improvement Functions. | Runsheng Yu, Weiyu Chen, Xinrun Wang, James T. Kwok |
| 2023 | ICML | Effective Structured Prompting by Meta-Learning and Representative Verbalizer. | Weisen Jiang, Yu Zhang, James T. Kwok |
| 2023 | ICML | Non-autoregressive Conditional Diffusion Models for Time Series Prediction. | Lifeng Shen, James T. Kwok |
| 2023 | ICML | Nonparametric Iterative Machine Teaching. | Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok |
| 2022 | CIKM | Query Rewriting in TaoBao Search. | Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T. Kwok, Qianli Ma |
| 2022 | ICLR | Revisiting Over-smoothing in BERT from the Perspective of Graph. | Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok |
| 2022 | ICML | Subspace Learning for Effective Meta-Learning. | Weisen Jiang, James T. Kwok, Yu Zhang |
| 2022 | ICML | Efficient Variance Reduction for Meta-learning. | Hansi Yang, James T. Kwok |
| 2021 | AAAI | Time Series Anomaly Detection with Multiresolution Ensemble Decoding. | Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok |
| 2021 | IJCNN | SEEN: Few-Shot Classification with SElf-ENsemble. | Weisen Jiang, Yu Zhang, James T. Kwok |
| 2021 | WWW | A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. | Yaqing Wang, Quanming Yao, James T. Kwok |
| 2020 | AAAI | Effective Decoding in Graph Auto-Encoder Using Triadic Closure. | Han Shi, Haozheng Fan, James T. Kwok |
| 2020 | KDD | Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. | Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon |
| 2020 | WWW | Efficient Neural Interaction Function Search for Collaborative Filtering. | Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li, Cho-Jui Hsieh |
| 2019 | ICLR | Analysis of Quantized Models. | Lu Hou, Ruiliang Zhang, James T. Kwok |
| 2019 | IJCAI | Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. | Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang |
| 2019 | IJCNN | Dynamic Unit Surgery for Deep Neural Network Compression and Acceleration. | Minsam Kim, James T. Kwok |
| 2018 | ICLR | Loss-aware Weight Quantization of Deep Networks. | Lu Hou, James T. Kwok |
| 2017 | ICDM | Collaborative Filtering with Social Local Models. | Huan Zhao, Quanming Yao, James T. Kwok, Dik Lun Lee |
| 2017 | ICLR | Loss-aware Binarization of Deep Networks. | Lu Hou, Quanming Yao, James T. Kwok |
| 2017 | ICML | Follow the Moving Leader in Deep Learning. | Shuai Zheng, James T. Kwok |
| 2017 | IJCAI | Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems. | Quanming Yao, James T. Kwok, Fei Gao, Wei Chen, Tie-Yan Liu |
| 2017 | IJCNN | Zero-shot learning with a partial set of observed attributes. | Yaqing Wang, James T. Kwok, Quanming Yao, Lionel M. Ni |
| 2016 | AAAI | Fast Nonsmooth Regularized Risk Minimization with Continuation. | Shuai Zheng, Ruiliang Zhang, James T. Kwok |
| 2016 | AAAI | Efficient Learning of Timeseries Shapelets. | Lu Hou, James T. Kwok, Jacek M. Zurada |
| 2016 | AAAI | Towards Safe Semi-Supervised Learning for Multivariate Performance Measures. | Yufeng Li, James T. Kwok, Zhi-Hua Zhou |
| 2016 | AAAI | Asynchronous Distributed Semi-Stochastic Gradient Optimization. | Ruiliang Zhang, Shuai Zheng, James T. Kwok |
| 2016 | ICML | Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity. | Quanming Yao, James T. Kwok |
| 2016 | IJCAI | Fast-and-Light Stochastic ADMM. | Shuai Zheng, James T. Kwok |
| 2016 | IJCAI | Greedy Learning of Generalized Low-Rank Models. | Quanming Yao, James T. Kwok |
| 2015 | AAAI | Colorization by Patch-Based Local Low-Rank Matrix Completion. | Quanming Yao, James T. Kwok |
| 2015 | ICDM | Fast Low-Rank Matrix Learning with Nonconvex Regularization. | Quanming Yao, James T. Kwok, Wenliang Zhong |
| 2015 | IJCAI | Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion. | Quanming Yao, James T. Kwok |
| 2015 | IJCNN | Collaborative filtering via co-factorization of individuals and groups. | Yihai Huang, James T. Kwok |
| 2014 | AAAI | Multilabel Classification with Label Correlations and Missing Labels. | Wei Bi, James T. Kwok |
| 2014 | AAAI | Accurate Integration of Aerosol Predictions by Smoothing on a Manifold. | Shuai Zheng, James T. Kwok |
| 2014 | AAAI | Gradient Descent with Proximal Average for Nonconvex and Composite Regularization. | Wenliang Zhong, James T. Kwok |
| 2014 | ICML | Asynchronous Distributed ADMM for Consensus Optimization. | Ruiliang Zhang, James T. Kwok |
| 2014 | UAI | Learning to Predict from Crowdsourced Data. | Wei Bi, Liwei Wang, James T. Kwok, Zhuowen Tu |
| 2013 | ICDM | Efficient Learning for Models with DAG-Structured Parameter Constraints. | Leon Wenliang Zhong, James T. Kwok |
| 2013 | ICONIP | Flexible Nonparametric Kernel Learning with Different Loss Functions. | En-Liang Hu, James T. Kwok |
| 2013 | IJCAI | Efficient Kernel Learning from Side Information Using ADMM. | En-Liang Hu, James T. Kwok |
| 2013 | IJCAI | Accurate Probability Calibration for Multiple Classifiers. | Wenliang Zhong, James T. Kwok |
| 2012 | ICDM | Hierarchical Multilabel Classification with Minimum Bayes Risk. | Wei Bi, James T. Kwok |
| 2011 | CVPR | Time and space efficient spectral clustering via column sampling. | Mu Li, Xiao-Chen Lian, James T. Kwok, Bao-Liang Lu |
| 2011 | ICML | MultiLabel Classification on Tree- and DAG-Structured Hierarchies. | Wei Bi, James T. Kwok |
| 2011 | ICML | Efficient Sparse Modeling with Automatic Feature Grouping. | Wenliang Zhong, James T. Kwok |
| 2011 | IJCNN | Structured clustering with automatic kernel adaptation. | Weike Pan, James T. Kwok |
| 2010 | AAAI | Cost-Sensitive Semi-Supervised Support Vector Machine. | Yufeng Li, James T. Kwok, Zhi-Hua Zhou |
| 2010 | CVPR | Online multiple instance learning with no regret. | Mu Li, James T. Kwok, Bao-Liang Lu |
| 2010 | ICML | Making Large-Scale Nystrm Approximation Possible. | Mu Li, James T. Kwok, Bao-Liang Lu |
| 2010 | IJCNN | Manifold regularization for structured outputs via the joint kernel. | Chonghai Hu, James T. Kwok |
| 2010 | SDM | Spectral and Semidefinite Relaxation of the CLUHSIC Algorithm. | Wen-Yun Yang, James T. Kwok, Bao-Liang Lu |
| 2009 | ICDM | Accelerated Gradient Method for Multi-task Sparse Learning Problem. | Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell |
| 2009 | ICML | Semi-supervised learning using label mean. | Yufeng Li, James T. Kwok, Zhi-Hua Zhou |
| 2009 | ICML | Prototype vector machine for large scale semi-supervised learning. | Kai Zhang, James T. Kwok, Bahram Parvin |
| 2009 | IJCAI | Domain Adaptation via Transfer Component Analysis. | Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang |
| 2009 | SDM | Multiple Kernel Clustering. | Bin Zhao, James T. Kwok, Changshui Zhang |
| 2008 | AAAI | Transfer Learning via Dimensionality Reduction. | Sinno Jialin Pan, James T. Kwok, Qiang Yang |
| 2008 | AAAI | Transferring Localization Models across Space. | Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok |
| 2008 | ICML | Improved Nystrm low-rank approximation and error analysis. | Kai Zhang, Ivor W. Tsang, James T. Kwok |
| 2007 | AAAI | Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning. | Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan |
| 2007 | ICML | Simpler core vector machines with enclosing balls. | Ivor W. Tsang, Andrs Kocsor, James T. Kwok |
| 2007 | ICML | Maximum margin clustering made practical. | Kai Zhang, Ivor W. Tsang, James T. Kwok |
| 2007 | IJCAI | Marginalized Multi-Instance Kernels. | James T. Kwok, Pak-Ming Cheung |
| 2007 | IJCAI | Ensembles of Partially Trained SVMs with Multiplicative Updates. | Ivor W. Tsang, James T. Kwok |
| 2006 | ECCV | Accelerated Convergence Using Dynamic Mean Shift. | Kai Zhang, James T. Kwok, Ming Tang |
| 2006 | ICASSP | Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression. | Ivor W. Tsang, James T. Kwok, Brian Mak, Kai Zhang, Jeffrey Junfeng Pan |
| 2006 | ICML | A regularization framework for multiple-instance learning. | Pak-Ming Cheung, James T. Kwok |
| 2006 | ICML | Locally adaptive classification piloted by uncertainty. | Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwok |
| 2006 | ICML | Block-quantized kernel matrix for fast spectral embedding. | Kai Zhang, James T. Kwok |
| 2006 | ICONIP | Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares. | Shutao Li, Chen Liao, James T. Kwok |
| 2006 | ICPR | Multimodal Registration using the Discrete Wavelet Frame Transform. | Shutao Li, Jinglin Peng, James T. Kwok, Jing Zhang |
| 2006 | IJCNN | Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers. | Ken Chen, Bao-Liang Lu, James T. Kwok |
| 2006 | IJCNN | Wavelet-Based Feature Extraction for Microarray Data Classification. | Shutao Li, Chen Liao, James T. Kwok |
| 2006 | IJCNN | Learning the Kernel in Mahalanobis One-Class Support Vector Machines. | Ivor W. Tsang, James T. Kwok, Shutao Li |
| 2006 | KDD | Efficient kernel feature extraction for massive data sets. | Ivor W. Tsang, Andrs Kocsor, James T. Kwok |
| 2005 | CVPR | Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. | Kai Zhang, Ming Tang, James T. Kwok |
| 2005 | GLOBECOM | Position estimation for wireless sensor networks. | Kin Fung Simon Wong, Ivor W. Tsang, Victor Cheung, S.-H. Gary Chan, James T. Kwok |
| 2005 | ICML | Core Vector Regression for very large regression problems. | Ivor W. Tsang, James T. Kwok, Kimo T. Lai |
| 2005 | IJCAI | Accurate and Low-cost Location Estimation Using Kernels. | Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen |
| 2005 | IJCNN | Data-dependent kernels for high-dimensional data classification. | Jingdong Wang, James T. Kwok, Helen C. Shen, Long Quan |
| 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 | ICARCV | Incremental PCA based face recognition. | Haitao Zhao, Pong Chi Yuen, James T. Kwok, Jingyu Yang |
| 2004 | ICASSP | A study of various composite kernels for kernel eigenvoice speaker adaptation. | Brian Mak, James T. Kwok, Simon Ka-Lung Ho |
| 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 |
| 2004 | IJCNN | Scaling up support vector data description by using core-sets. | Calvin S. Chu, Ivor W. Tsang, James T. Kwok |
| 2004 | Interspeech | Speedup of kernel eigenvoice speaker adaptation by embedded kernel PCA. | Brian Mak, Simon Ka-Lung Ho, James T. Kwok |
| 2003 | ICML | Learning with Idealized Kernels. | James T. Kwok, Ivor W. Tsang |
| 2003 | ICML | The Pre-Image Problem in Kernel Methods. | James T. Kwok, Ivor W. Tsang |
| 2003 | IJCAI | Parametric Distance Metric Learning with Label Information. | Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
| 2002 | ICANN | Fusing Images with Multiple Focuses Using Support Vector Machines. | Shutao Li, James T. Kwok, Yaonan Wang |
| 2002 | ICPR | Improving De-Noising by Coefficient De-Noising and Dyadic Wavelet Transform. | Hailong Zhu, James T. Kwok, Liangsheng Qu |
| 2001 | ICANN | Linear Dependency between epsilon and the Input Noise in epsilon-Support Vector Regression. | James T. Kwok |
| 2000 | ICPR | Rival Penalized Competitive Learning for Model-Based Sequence Clustering. | Martin H. C. Law, James T. Kwok |