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Kwok, James T.

  1. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
    2023/09/21 by Longhui Yu, Weisen Jiang, Yu, Longhui +17 · 122 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
  2. Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation
    2024/03/14 by Yunhao Gou, Gou, Yunhao, Kai Chen +15 · 37 citations
    Computer Science · Social Sciences · #Artificial Intelligence in Law #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Natural Language Processing Techniques
  3. Revisiting Over-smoothing in BERT from the Perspective of Graph
    2022/02/17 by Shi, Han, Gao, Jiahui, Xu, Hang +5 · 11 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
    2024/09/30 by Chen, Shuhao, Jiang, Weisen, Lin, Baijiong +2 · 24 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning
    2023/12/19 by Gou, Yunhao, Liu, Zhili, Chen, Kai +6 · 15 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  6. Forward-Backward Reasoning in Large Language Models for Mathematical Verification
    2023/08/15 by Jiang, Weisen, Shi, Han, Yu, Longhui +4 · 11 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. A Survey on Time-Series Pre-Trained Models
    2023/05/18 by Qianli Ma, Ma, Qianli, Zhen Liu +11 · 9 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  8. Multi-Label Learning with Global and Local Label Correlation
    2017/04/04 by Yue Zhu, Zhu, Yue, James T. Kwok +3 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Natural Language Processing Techniques #Text and Document Classification Technologies
  9. TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
    2021/06/11 by Haoang Chi, Feng Liu, Chi, Haoang +13 · 6 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  10. A Survey of Label-noise Representation Learning: Past, Present and Future
    2020/11/09 by Han, Bo, Yao, Quanming, Liu, Tongliang +4 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
    2024/09/26 by Kai Chen, Chen, Kai, Yunhao Gou +57 · 12 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Speech and dialogue systems
  12. GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning
    2024/02/03 by Yanbin Wei, Shuai Fu, Wei, Yanbin +8 · 8 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  13. Dual-Balancing for Multi-Task Learning
    2023/08/23 by Lin, Baijiong, Jiang, Weisen, Ye, Feiyang +6 · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
    2019/05/27 by Zheng, Shuai, Huang, Ziyue, Kwok, James T. · 2 citations
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  15. Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
    2025/01/19 by Weiyu Chen, Chen, Weiyu, Baijiong Lin +11 · 8 citations
    Computer Science · #Machine Learning and Data Classification
  16. SparseBERT: Rethinking the Importance Analysis in Self-attention
    2021/02/25 by Shi, Han, Gao, Jiahui, Ren, Xiaozhe +4 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems
    2016/12/29 by Quanming Yao, Yao, Quanming, James T. Kwok +7 · 2 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  18. Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation
    2023/09/23 by Zhang, Yulong, Chen, Shuhao, Jiang, Weisen +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
    2024/05/01 by Zhili Liu, Yunhao Gou, Liu, Zhili +19 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Cognitive Science and Mapping #Computation and Language (cs.CL) #FOS: Computer and information sciences
  20. Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts
    2024/02/08 by Zhili Liu, Liu, Zhili, Kai Chen +11 · 3 citations
    Computer Science · #Advanced Clustering Algorithms Research #Computer Vision and Pattern Recognition (cs.CV) #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech and dialogue systems
  21. Collaborative Filtering with Social Local Models
    2017/04/19 by Zhao, Huan, Yao, Quanming, Kwok, James T. +1 · 1 citation
    #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  22. Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
    2017/08/01 by Quanming Yao, James T. Kwok, Yao, Quanming +5 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Robotics and Sensor-Based Localization #Sparse and Compressive Sensing Techniques
  23. Aggregation Weighting of Federated Learning via Generalization Bound Estimation
    2023/11/10 by Mingwei Xu, Xu, Mingwei, Xiaofeng Cao +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  24. Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
    2019/11/21 by Shi Han, Shi, Han, Renjie Pi +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  25. DynamicMind: A Tri-Mode Thinking System for Large Language Models
    2025/06/06 by Wei Li, Yanbin Wei, Li, Wei +11 · 3 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Natural Language Processing Techniques
  26. Effective Structured Prompting by Meta-Learning and Representative Verbalizer
    2023/06/01 by Jiang, Weisen, Zhang, Yu, Kwok, James T. · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Efficient Pareto Manifold Learning with Low-Rank Structure
    2024/07/30 by Weiyu Chen, James T. Kwok, Chen, Weiyu +1 · 1 citation
    Computer Science · #Advanced Vision and Imaging #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Neural Networks and Applications
  28. Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting
    2025/05/17 by Ziyu Zhou, Jiaxi Hu, Zhou, Ziyu +7 · 2 citations
    Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques