Kwok, James

39 publications

ICLR 2026 Discrete Latent Features Ablate Adversarial Attack: A Robust Prompt Tuning Framework for VLMs Yang Chen, Yanbin Wei, James Kwok, Yu Zhang

ICLR 2026 Latent-to-Data Cascaded Diffusion Models for Unconditional Time Series Generation Lifeng Shen, Kai Syun Hou, Weiyu Chen, James Kwok

ICLR 2026 Reasoning-Aligned Perception Decoupling for Scalable Multi-Modal Reasoning Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Xin Jin, Zhenguo Li, James Kwok, Yu Zhang

NeurIPS 2025 Channel Matters: Estimating Channel Influence for Multivariate Time Series Muyao Wang, Zeke Xie, Bo Chen, Hongwei Liu, James Kwok

ICLR 2025 Curriculum-Aware Training for Discriminating Molecular Property Prediction Models Hansi Yang, Quanming Yao, James Kwok

ICLR 2025 Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization Hansi Yang, James Kwok

NeurIPS 2025 Multi-Objective One-Shot Pruning for Large Language Models Weiyu Chen, Hansi Yang, Yunhao Gou, Han Shi, En-Liang Hu, Zhenguo Li, James Kwok

ICML 2025 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 Kwok, Yu Zhang

ICML 2025 Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging Weiyu Chen, James Kwok

NeurIPS 2025 SPMDM: Enhancing Masked Diffusion Models Through Simplifying Sampling Path Yichen Zhu, Weiyu Chen, James Kwok, Zhou Zhao

ICML 2024 Efficient Pareto Manifold Learning with Low-Rank Structure Weiyu Chen, James Kwok

ECCV 2024 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 Kwok, Yu Zhang

ECCV 2024 Implicit Concept Removal of Diffusion Models Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James Kwok

ICML 2024 Improving Sharpness-Aware Minimization by Lookahead Runsheng Yu, Youzhi Zhang, James Kwok

ECCV 2024 Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James Kwok

ICLR 2024 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu

ICLR 2024 Multi-Resolution Diffusion Models for Time Series Forecasting Lifeng Shen, Weiyu Chen, James Kwok

ICLR 2024 PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Zhongdao Wang, James Kwok, Ping Luo, Huchuan Lu, Zhenguo Li

ICLR 2023 An Adaptive Policy to Employ Sharpness-Aware Minimization Weisen Jiang, Hansi Yang, Yu Zhang, James Kwok

ICML 2023 Effective Structured Prompting by Meta-Learning and Representative Verbalizer Weisen Jiang, Yu Zhang, James Kwok

ICLR 2023 Enhancing Meta Learning via Multi-Objective Soft Improvement Functions Runsheng Yu, Weiyu Chen, Xinrun Wang, James Kwok

ICCV 2023 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 Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang

CVPR 2023 Leveraging per Image-Token Consistency for Vision-Language Pre-Training Yunhao Gou, Tom Ko, Hansi Yang, James Kwok, Yu Zhang, Mingxuan Wang

ICML 2023 Non-Autoregressive Conditional Diffusion Models for Time Series Prediction Lifeng Shen, James Kwok

ICML 2023 Nonparametric Iterative Machine Teaching Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok

ICLR 2023 Task-Customized Masked Autoencoder via Mixture of Cluster-Conditional Experts Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James Kwok

ICML 2022 Efficient Variance Reduction for Meta-Learning Hansi Yang, James Kwok

ICLR 2022 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 Kwok

ICML 2022 Subspace Learning for Effective Meta-Learning Weisen Jiang, James Kwok, Yu Zhang

NeurIPS 2019 Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback Shuai Zheng, Ziyue Huang, James Kwok

NeurIPS 2019 Normalization Helps Training of Quantized LSTM Lu Hou, Jinhua Zhu, James Kwok, Fei Gao, Tao Qin, Tie-Yan Liu

NeurIPS 2018 Scalable Robust Matrix Factorization with Nonconvex Loss Quanming Yao, James Kwok

ICML 2016 Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity Quanming Yao, James Kwok

NeurIPS 2015 Fast Second Order Stochastic Backpropagation for Variational Inference Kai Fan, Ziteng Wang, Jeff Beck, James Kwok, Katherine A. Heller

ICML 2014 Asynchronous Distributed ADMM for Consensus Optimization Ruiliang Zhang, James Kwok

ICML 2014 Fast Stochastic Alternating Direction Method of Multipliers Wenliang Zhong, James Kwok

ICML 2013 Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels Kai Zhang, Vincent Zheng, Qiaojun Wang, James Kwok, Qiang Yang, Ivan Marsic

ICML 2013 Efficient Multi-Label Classification with Many Labels Wei Bi, James Kwok

AISTATS 2005 Very Large SVM Training Using Core Vector Machines Ivor Tsang, James Kwok, Pak-Ming Cheung