King, Irwin

84 publications

ICLRW 2025 Can LLM Watermarking Robustly Prevent Unauthorized Knowledge Distillation? Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu

AAAI 2025 Context-Aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning Muzhi Li, Cehao Yang, Chengjin Xu, Zixing Song, Xuhui Jiang, Jian Guo, Ho-fung Leung, Irwin King

NeurIPS 2025 Hyperbolic Fine-Tuning for Large Language Models Menglin Yang, B B Ram Samarth, Aosong Feng, Bo Xiong, Jiahong Liu, Irwin King, Rex Ying

ICML 2025 NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao

ICCV 2025 Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning Hung-Chieh Fang, Hsuan-Tien Lin, Irwin King, Yifei Zhang

AAAI 2024 A Diffusion-Based Pre-Training Framework for Crystal Property Prediction Zixing Song, Ziqiao Meng, Irwin King

IJCAI 2024 A Systematic Survey on Federated Semi-Supervised Learning Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King

ICLR 2024 An Unforgeable Publicly Verifiable Watermark for Large Language Models Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu

AAAI 2024 Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King

ICMLW 2024 Enhancing LLM Complex Reasoning Capability Through Hyperbolic Geometry Menglin Yang, Aosong Feng, Bo Xiong, Jiahong Liu, Irwin King, Rex Ying

NeurIPSW 2024 Entropy-Based Decoding for Retrieval-Augmented Large Language Models Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King

AAAI 2024 HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King

AAAI 2024 Influential Exemplar Replay for Incremental Learning in Recommender Systems Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King

NeurIPS 2024 On the Necessity of Collaboration for Online Model Selection with Decentralized Data Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King

NeurIPSW 2024 Parrot: Autoregressive Spoken Dialogue Language Modeling with Decoder-Only Transformers Ziqiao Meng, Qichao Wang, Wenqian Cui, Yifei Zhang, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao

IJCAI 2024 Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King

ICMLW 2024 UHCone: Universal Hyperbolic Cone for Implicit Hierarchical Learning Menglin Yang, Jiahong Liu, Irwin King, Rex Ying

IJCAI 2023 A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King

IJCAI 2023 Diagnose like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King

IJCAI 2023 Doubly Stochastic Graph-Based Non-Autoregressive Reaction Prediction Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King

IJCAI 2023 FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu, Irwin King

AAAI 2023 Graph Component Contrastive Learning for Concept Relatedness Estimation Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King

ICML 2023 Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King

NeurIPS 2023 Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King

NeurIPS 2023 No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning Zixing Song, Yifei Zhang, Irwin King

NeurIPS 2023 Optimal Block-Wise Asymmetric Graph Construction for Graph-Based Semi-Supervised Learning Zixing Song, Yifei Zhang, Irwin King

NeurIPS 2023 Predicting Global Label Relationship Matrix for Graph Neural Networks Under Heterophily Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King

AAAI 2023 Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

AAAI 2022 Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization Zixing Song, Irwin King

NeurIPSW 2022 Individual Fairness in Dynamic Financial Networks Zixing Song, Yueen Ma, Irwin King

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

IJCAI 2020 Efficient Community Search over Large Directed Graph: An Augmented Index-Based Approach Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King

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

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

NeurIPS 2020 Revisiting Parameter Sharing for Automatic Neural Channel Number Search Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael Lyu, Jian Cheng

NeurIPS 2020 Unsupervised Text Generation by Learning from Search Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael 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

IJCAI 2019 STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King

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 GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung

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

MLJ 2017 Introduction: Special Issue of Selected Papers from ACML 2015 Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou

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 SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, Jiaya Jia

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

NeurIPS 2009 Adaptive Regularization for Transductive Support Vector Machine Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu, Zhirong Yang

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

NeurIPS 2009 Heavy-Tailed Symmetric Stochastic Neighbor Embedding Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja

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

NeurIPS 2008 An Extended Level Method for Efficient Multiple Kernel Learning Zenglin Xu, Rong Jin, Irwin King, Michael Lyu

NeurIPS 2008 Learning with Consistency Between Inductive Functions and Kernels Haixuan Yang, Irwin King, Michael Lyu

NeurIPS 2007 Efficient Convex Relaxation for Transductive Support Vector Machine Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael 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