Lyu, Michael R.

62 publications

NeurIPS 2024 Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu

AAAI 2024 Curvature-Invariant Adversarial Attacks for 3D Point Clouds Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu

AAAI 2024 Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu

AAAI 2023 CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu

CVPR 2023 Improving the Transferability of Adversarial Samples by Path-Augmented Method Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu

IJCAI 2023 Towards Semantics- and Domain-Aware Adversarial Attacks Jianping Zhang, Yung-Chieh Huang, Weibin Wu, Michael R. Lyu

CVPR 2023 Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization Jianping Zhang, Yizhan Huang, Weibin Wu, Michael R. Lyu

ICCV 2023 VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang

CVPR 2022 Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu

AAAI 2022 Text Revision by On-the-Fly Representation Optimization Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu

NeurIPS 2022 Towards Efficient Post-Training Quantization of Pre-Trained Language Models Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R Lyu

CVPR 2021 Improving the Transferability of Adversarial Samples with Adversarial Transformations Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King

AAAI 2020 Few Shot Network Compression via Cross Distillation Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu

AAAI 2020 Neuron Interaction Based Representation Composition for Neural Machine Translation Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu

AAAI 2020 Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network Wenxiang Jiao, Michael R. Lyu, Irwin King

AAAI 2019 DDFlow: Learning Optical Flow with Unlabeled Data Distillation Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu

IJCAI 2019 Difficulty Controllable Generation of Reading Comprehension Questions Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King

AAAI 2019 Generating Distractors for Reading Comprehension Questions from Real Examinations Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu

IJCAI 2019 Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu

AAAI 2019 Title-Guided Encoding for Keyphrase Generation Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu

IJCAI 2018 A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang

NeurIPS 2018 Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs Han Shao, Xiaotian Yu, Irwin King, Michael R Lyu

IJCAI 2018 Code Completion with Neural Attention and Pointer Networks Jian Li, Yue Wang, Michael R. Lyu, Irwin King

UAI 2018 Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King

AAAI 2017 CBRAP: Contextual Bandits with RAndom Projection Xiaotian Yu, Michael R. Lyu, Irwin King

UAI 2017 FROSH: FasteR Online Sketching Hashing Xixian Chen, Irwin King, Michael R. Lyu

ICML 2017 Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data Xixian Chen, Michael R. Lyu, Irwin King

IJCAI 2016 Modeling the Homophily Effect Between Links and Communities for Overlapping Community Detection Hongyi Zhang, Tong Zhao, Irwin King, Michael R. Lyu

AAAI 2016 STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King

IJCAI 2015 Exploiting K-Degree Locality to Improve Overlapping Community Detection Hongyi Zhang, Michael R. Lyu, Irwin King

UAI 2015 Fast Relative-Error Approximation Algorithm for Ridge Regression Shouyuan Chen, Yang Liu, Michael R. Lyu, Irwin King, Shengyu Zhang

AAAI 2015 Incorporating Implicit Link Preference into Overlapping Community Detection Hongyi Zhang, Irwin King, Michael R. Lyu

AAAI 2015 Kernelized Online Imbalanced Learning with Fixed Budgets Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So

IJCAI 2015 Training-Efficient Feature mAP for Shift-Invariant Kernels Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu

NeurIPS 2014 Combinatorial Pure Exploration of Multi-Armed Bandits Shouyuan Chen, Tian Lin, Irwin King, Michael R Lyu, Wei Chen

IJCAI 2013 A Unified Framework for Reputation Estimation in Online Rating Systems Guang Ling, Irwin King, Michael R. Lyu

NeurIPS 2013 Exact and Stable Recovery of Pairwise Interaction Tensors Shouyuan Chen, Michael R Lyu, Irwin King, Zenglin Xu

IJCAI 2013 Where You like to Go Next: Successive Point-of-Interest Recommendation Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King

AAAI 2012 A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering Tom Chao Zhou, Xiance Si, Edward Y. Chang, Irwin King, Michael R. Lyu

AAAI 2012 Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu

UAI 2012 Response Aware Model-Based Collaborative Filtering Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King

AAAI 2011 Learning to Suggest Questions in Online Forums Tom Chao Zhou, Chin-Yew Lin, Irwin King, Michael R. Lyu, Young-In Song, Yunbo Cao

AAAI 2010 Diversifying Query Suggestion Results Hao Ma, Michael R. Lyu, Irwin King

ICML 2010 Online Learning for Group Lasso Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu

ICML 2010 Simple and Efficient Multiple Kernel Learning by Group Lasso Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu

AAAI 2010 Smooth Optimization for Effective Multiple Kernel Learning Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King

AAAI 2010 UserRec: A User Recommendation Framework in Social Tagging Systems Tom Chao Zhou, Hao Ma, Michael R. Lyu, Irwin King

IJCAI 2009 Discriminative Semi-Supervised Feature Selection via Manifold Regularization Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King

ICML 2009 Non-Monotonic Feature Selection Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King

CVPR 2009 Nonrigid Shape Recovery by Gaussian Process Regression Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu

ECCV 2008 An Effective Approach to 3D Deformable Surface Tracking Jianke Zhu, Steven C. H. Hoi, Zenglin Xu, Michael R. Lyu

CVPR 2008 Semi-Supervised SVM Batch Mode Active Learning for Image Retrieval Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu

CVPR 2007 A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu

ICML 2007 Learning Nonparametric Kernel Matrices from Pairwise Constraints Steven C. H. Hoi, Rong Jin, Michael R. Lyu

CVPR 2007 Progressive Finite Newton Approach to Real-Time Nonrigid Surface Detection Jianke Zhu, Michael R. Lyu

ICML 2006 Batch Mode Active Learning and Its Application to Medical Image Classification Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu

CVPR 2006 Learning Distance Metrics with Contextual Constraints for Image Retrieval Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Ying Ma

ECCV 2006 Real-Time Non-Rigid Shape Recovery via Active Appearance Models for Augmented Reality Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu

CVPR 2005 A Semi-Supervised Active Learning Framework for Image Retrieval Steven C. H. Hoi, Michael R. Lyu

CVPR 2004 Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu

ICML 2004 Learning Large Margin Classifiers Locally and Globally Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu

JMLR 2004 The Minimum Error Minimax Probability Machine Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan