James T. Kwok

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 139

Top Venues

CoRR

AAAI

IEEE Trans. Neural Networks Learn. Syst.

NeurIPS

Publications

Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts. CoRR (2024)
Hansi Yang, James T. Kwok
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning. CoRR (2024)
Lifeng Shen, Weiyu Chen, James T. Kwok
Multi-Resolution Diffusion Models for Time Series Forecasting. ICLR (2024)
Weiyu Chen, James T. Kwok
Efficient Pareto Manifold Learning with Low-Rank Structure. CoRR (2024)
Lifeng Shen, Jincheng Yu, Hansi Yang, James T. Kwok
Mixup Augmentation with Multiple Interpolations. CoRR (2024)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
Forward-Backward Reasoning in Large Language Models for Mathematical Verification. ACL (Findings) (2024)
Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. ICLR (2024)
Fan Feng, Lu Hou, Qi She, Rosa H. M. Chan, James T. Kwok
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Runsheng Yu, Yong Wang, Xiaoqi Jiao, Youzhi Zhang, James T. Kwok
Direct Alignment of Language Models via Quality-Aware Self-Refinement. CoRR (2024)
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. CoRR (2024)
Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. CoRR (2024)
Yanbin Wei, Qiushi Huang, James T. Kwok, Yu Zhang
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion. CoRR (2024)
Yanbin Wei, Shuai Fu, Weisen Jiang, James T. Kwok, Yu Zhang
Rendering Graphs for Graph Reasoning in Multimodal Large Language Models. CoRR (2024)
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation. CoRR (2024)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. ICLR (2024)
Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok
An Adaptive Policy to Employ Sharpness-Aware Minimization. ICLR (2023)
Lifeng Shen, James T. Kwok
Non-autoregressive Conditional Diffusion Models for Time Series Prediction. CoRR (2023)
Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok
An Adaptive Policy to Employ Sharpness-Aware Minimization. CoRR (2023)
Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models. CoRR (2023)
Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. CoRR (2023)
Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation. CoRR (2023)
Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang, James T. Kwok
Aggregation Weighting of Federated Learning via Generalization Bound Estimation. CoRR (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Teaching for Multiple Learners. CoRR (2023)
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. ICLR (2023)
Yongqi Zhang, Quanming Yao, James T. Kwok
Bilinear Scoring Function Search for Knowledge Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok
Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CIKM (2023)
Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai
Searching a High Performance Feature Extractor for Text Recognition Network. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Weisen Jiang, Yu Zhang, James T. Kwok
Effective Structured Prompting by Meta-Learning and Representative Verbalizer. ICML (2023)
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning. CoRR (2023)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
Forward-Backward Reasoning in Large Language Models for Verification. CoRR (2023)
Yuhui Guo, Xun Liang, James T. Kwok, Xiangping Zheng, Bo Wu, Yuefeng Ma
Cross-Modal Matching and Adaptive Graph Attention Network for RGB-D Scene Recognition. ICASSP (2023)
Weisen Jiang, Baijiong Lin, Han Shi, Yu Zhang, Zhenguo Li, James T. Kwok
Effective and Parameter-Efficient Reusing Fine-Tuned Models. CoRR (2023)
Yanbin Wei, Qiushi Huang, Yu Zhang, James T. Kwok
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion. EMNLP (Findings) (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Iterative Machine Teaching. ICML (2023)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. CoRR (2023)
Weisen Jiang, Yu Zhang, James T. Kwok
Effective Structured Prompting by Meta-Learning and Representative Verbalizer. CoRR (2023)
Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. CoRR (2023)
Lifeng Shen, James T. Kwok
Non-autoregressive Conditional Diffusion Models for Time Series Prediction. ICML (2023)
Zhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao
Efficient Hyper-parameter Optimization with Cubic Regularization. NeurIPS (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Iterative Machine Teaching. CoRR (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Teaching for Multiple Learners. NeurIPS (2023)
Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang
Leveraging per Image-Token Consistency for Vision-Language Pre-training. CVPR (2023)
Qianli Ma, Zhen Liu, Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T. Kwok
A Survey on Time-Series Pre-Trained Models. CoRR (2023)
Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei
Feedback Pyramid Attention Networks for Single Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 33 (9) (2023)
Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. ICCV (2023)
Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok
Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CoRR (2023)
Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T. Kwok, Qianli Ma
Query Rewriting in TaoBao Search. CIKM (2022)
Quanming Yao, Hansi Yang, En-Liang Hu, James T. Kwok
Efficient Low-Rank Semidefinite Programming With Robust Loss Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei
Pyramidal dense attention networks for single image super-resolution. IET Image Process. 16 (12) (2022)
Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok
Revisiting Over-smoothing in BERT from the Perspective of Graph. CoRR (2022)
Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok
Revisiting Over-smoothing in BERT from the Perspective of Graph. ICLR (2022)
Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. CoRR (2022)
Hansi Yang, James T. Kwok
Efficient Variance Reduction for Meta-learning. ICML (2022)
Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. J. Mach. Learn. Res. 23 (2022)
Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai
Searching a High-Performance Feature Extractor for Text Recognition Network. CoRR (2022)
Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok
Time Series Anomaly Detection with Multiresolution Ensemble Decoding. AAAI (2021)
Zac Wellmer, James T. Kwok
Dropout's Dream Land: Generalization from Learned Simulators to Reality. CoRR (2021)
Hansi Yang, Quanming Yao, James T. Kwok
Tensorizing Subgraph Search in the Supernet. CoRR (2021)
Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei
Feedback Pyramid Attention Networks for Single Image Super-Resolution. CoRR (2021)
Yuefeng Ma, Xun Liang, Gang Sheng, James T. Kwok, Maoli Wang, Guangshun Li
Noniterative Sparse LS-SVM Based on Globally Representative Point Selection. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee
Side Information Fusion for Recommender Systems over Heterogeneous Information Network. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok
SparseBERT: Rethinking the Importance Analysis in Self-attention. CoRR (2021)
Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei
Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution. CoRR (2021)
Zac Wellmer, James T. Kwok
Dropout's Dream Land: Generalization from Learned Simulators to Reality. ECML/PKDD (1) (2021)
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation. CoRR (2021)
Yaqing Wang, Quanming Yao, James T. Kwok
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. WWW (2021)
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation. NeurIPS (2021)
Weisen Jiang, Yu Zhang, James T. Kwok
SEEN: Few-Shot Classification with SElf-ENsemble. IJCNN (2021)
Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS. NeurIPS (2020)
Yaqing Wang, Quanming Yao, James T. Kwok
Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization. CoRR (2020)
Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama
A Survey of Label-noise Representation Learning: Past, Present and Future. CoRR (2020)
Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li, Cho-Jui Hsieh
Efficient Neural Interaction Function Search for Collaborative Filtering. WWW (2020)
Yaqing Wang, James T. Kwok, Lionel M. Ni
Generalized Convolutional Sparse Coding With Unknown Noise. IEEE Trans. Image Process. 29 (2020)
Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD (2020)
Han Shi, Haozheng Fan, James T. Kwok
Effective Decoding in Graph Auto-Encoder Using Triadic Closure. AAAI (2020)
Lifeng Shen, Zhuocong Li, James T. Kwok
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network. NeurIPS (2020)
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
Generalizing from a Few Examples: A Survey on Few-shot Learning. ACM Comput. Surv. 53 (3) (2020)
Shuai Zheng, Ziyue Huang, James T. Kwok
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback. NeurIPS (2019)
Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. IJCAI (2019)
Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang
Multi-objective Neural Architecture Search via Predictive Network Performance Optimization. CoRR (2019)
Shuai Zheng, Ziyue Huang, James T. Kwok
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback. CoRR (2019)
Zac Wellmer, James T. Kwok
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space. CoRR (2019)
Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. IEEE Trans. Pattern Anal. Mach. Intell. 41 (11) (2019)
Minsam Kim, James T. Kwok
Dynamic Unit Surgery for Deep Neural Network Compression and Acceleration. IJCNN (2019)
Yaqing Wang, James T. Kwok, Lionel M. Ni
General Convolutional Sparse Coding with Unknown Noise. CoRR (2019)
En-Liang Hu, James T. Kwok
Low-Rank Matrix Learning Using Biconvex Surrogate Minimization. IEEE Trans. Neural Networks Learn. Syst. 30 (11) (2019)
Quanming Yao, James T. Kwok
Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion. IEEE Trans. Knowl. Data Eng. 31 (9) (2019)
Lu Hou, Ruiliang Zhang, James T. Kwok
Analysis of Quantized Models. ICLR (Poster) (2019)
Zac Wellmer, James T. Kwok
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space. ECML/PKDD (3) (2019)
Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li
Searching for Interaction Functions in Collaborative Filtering. CoRR (2019)
Shuai Zheng, James T. Kwok
Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning. CoRR (2019)
Lu Hou, Jinhua Zhu, James T. Kwok, Fei Gao, Tao Qin, Tie-Yan Liu
Normalization Helps Training of Quantized LSTM. NeurIPS (2019)
Han Shi, Haozheng Fan, James T. Kwok
Effective Decoding in Graph Auto-Encoder using Triadic Closure. CoRR (2019)
Elham J. Barezi, James T. Kwok, Hamid R. Rabiee
Corrigendum to "Multi-label learning in the independent label sub-spaces" [Pattern Recognition Letters 97(2017) 8-12]. Pattern Recognit. Lett. 112 (2018)
Shuai Zheng, James T. Kwok
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data. CoRR (2018)
Lu Hou, James T. Kwok
Power Law in Sparsified Deep Neural Networks. CoRR (2018)
Lu Hou, James T. Kwok
Loss-aware Weight Quantization of Deep Networks. CoRR (2018)
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
Scalable Online Convolutional Sparse Coding. IEEE Trans. Image Process. 27 (10) (2018)
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
Online Convolutional Sparse Coding with Sample-Dependent Dictionary. CoRR (2018)
Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee
Learning with Heterogeneous Side Information Fusion for Recommender Systems. CoRR (2018)

James T. Kwok.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

James T. Kwok