| 2026 | AAAI | ConSurv: Multimodal Continual Learning for Survival Analysis. | Dianzhi Yu, Conghao Xiong, Yankai Chen, Wenqian Cui, Xinni Zhang, Yifei Zhang, Hao Chen, Joseph J. Y. Sung, Irwin King |
| 2026 | ACL | MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models. | Zhang He, Wenqian Cui, Haoning Xu, Xiao-Hui Li, Lei Zhu, Haoli Bai, Shaohua Ma, Irwin King |
| 2026 | WWW | TRACE: Trajectory-Aware Comprehensive Evaluation for Deep Research Agents. | Yanyu Chen, Jiyue Jiang, Jiahong Liu, Yifei Zhang, Xiao Guo, Irwin King |
| 2026 | WWW | FL@FM-TheWebConf'26: The 3rd International Workshop on Federated Foundation Models for the Web. | Irwin King, Guodong Long, Zenglin Xu, Han Yu, Xiaoli Tang, Liping Yi |
| 2026 | WWW | Generative Archetype-Grounded Item Representations for Sequential Recommendation. | Yifan Li, Jiahong Liu, Xinni Zhang, Hao Chen, Yankai Chen, Wenhao Yu, Jianting Chen, Irwin King |
| 2026 | WWW | UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling. | Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou, Irwin King |
| 2026 | WWW | Semi-supervised Instruction Tuning for Large Language Models on Text-Attributed Graphs. | Zixing Song, Irwin King |
| 2026 | WWW | SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation. | Chunxu Zhang, Shanqiang Huang, Zijian Zhang, Jiahong Liu, Linsong Yu, Ruiqi Wan, Bo Yang, Irwin King |
| 2026 | WWW | LLM-Enhanced Web-Centric Spatio-Temporal Intelligence: Methods, Applications, and Frontier Research. | Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Irwin King |
| 2025 | AAAI | 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 |
| 2025 | ACL | VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models. | Wenqian Cui, Xiaoqi Jiao, Ziqiao Meng, Irwin King |
| 2025 | ACL | Recent Advances in Speech Language Models: A Survey. | Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, Ziqiao Meng, Guangyan Zhang, Qichao Wang, Steven Y. Guo, Irwin King |
| 2025 | ACL | Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? | Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu |
| 2025 | EMNLP | From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models. | Zhihan Guo, Jiele Wu, Wenqian Cui, Yifei Zhang, Minda Hu, Yufei Wang, Irwin King |
| 2025 | EMNLP | WebCoT: Enhancing Web Agent Reasoning by Reconstructing Chain-of-Thought in Reflection, Branching, and Rollback. | Minda Hu, Tianqing Fang, Jianshu Zhang, Jun-Yu Ma, Zhisong Zhang, Jingyan Zhou, Hongming Zhang, Haitao Mi, Dong Yu, Irwin King |
| 2025 | EMNLP | NILE: Internal Consistency Alignment in Large Language Models. | Minda Hu, Qiyuan Zhang, Yufei Wang, Bowei He, Hongru Wang, Jingyan Zhou, Liangyou Li, Yasheng Wang, Chen Ma, Irwin King |
| 2025 | EMNLP | Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following. | Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Irwin King |
| 2025 | EMNLP | Position: LLMs Can be Good Tutors in English Education. | Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen |
| 2025 | ICCV | Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning. | Hung-Chieh Fang, Hsuan-Tien Lin, Irwin King, Yifei Zhang |
| 2025 | ICML | 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 |
| 2025 | IJCNN | FinSIR: Financial SIR-GCN for Market-Aware Stock Recommendation. | Brian Godwin Lim, Jiahong Liu, Hans Jarett J. Ong, Jan Adrian Chan, Renzo Roel Tan, Irwin King, Kazushi Ikeda |
| 2025 | IJCNN | Multi-modal Hierarchical Clustering Network for Cancer Subtype Identification of Multi-omics Data. | Fangfei Lin, Jie Xu, Yazhou Ren, Junjie Chen, Irwin King, Zenglin Xu |
| 2025 | KDD | Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation. | Meng Qin, Jiahong Liu, Irwin King |
| 2025 | KDD | Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time. | Zixing Song, Muzhi Li, Yifei Zhang, Irwin King, Jos Miguel Hernndez-Lobato |
| 2025 | KDD | Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning. | Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz |
| 2025 | NAACL | Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion. | Muzhi Li, Cehao Yang, Chengjin Xu, Xuhui Jiang, Yiyan Qi, Jian Guo, Ho-fung Leung, Irwin King |
| 2025 | NAACL | WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents. | Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu |
| 2025 | NAACL | Entropy-Based Decoding for Retrieval-Augmented Large Language Models. | Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King |
| 2025 | RECOMB | cfDecon: Accurate and Interpretable Methylation-Based Cell Type Deconvolution for Cell-Free DNA. | Yixuan Wang, Jiayi Li, Jingqi Li, Shen Yang, Yuhan Huang, Xinyuan Liu, Yimin Fan, Irwin King, Yumei Li, Yu Li |
| 2025 | WWW | FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025. | Irwin King, Guodong Long, Zenglin Xu, Yifei Zhang, Han Yu |
| 2025 | WWW | G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. | Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li |
| 2025 | WWW | FedEDM: Federated Equivariant Diffusion Model for 3D Molecule Generation with Enhanced Communication Efficiency. | Zixing Song, Irwin King, Jos Miguel Hernndez-Lobato |
| 2024 | AAAI | 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 |
| 2024 | AAAI | HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. | Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King |
| 2024 | AAAI | A Diffusion-Based Pre-training Framework for Crystal Property Prediction. | Zixing Song, Ziqiao Meng, Irwin King |
| 2024 | AAAI | Influential Exemplar Replay for Incremental Learning in Recommender Systems. | Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King |
| 2024 | ACL | An Entropy-based Text Watermarking Detection Method. | Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King |
| 2024 | CIKM | EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. | Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King |
| 2024 | EMNLP | SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation. | Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King |
| 2024 | EMNLP | MarkLLM: An Open-Source Toolkit for LLM Watermarking. | Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu |
| 2024 | EMNLP | CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. | Zexuan Qiu, Jingjing Li, Shijue Huang, Xiaoqi Jiao, Wanjun Zhong, Irwin King |
| 2024 | ICLR | An Unforgeable Publicly Verifiable Watermark for Large Language Models. | Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu |
| 2024 | ICONIP | Combining Explicit Priors and Set Attention Driven Implicit Priors for Demonstration-Guided Reinforcement Learning. | Shujiong Tang, Irwin King, Zenglin Xu |
| 2024 | IJCAI | 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 |
| 2024 | IJCAI | A Systematic Survey on Federated Semi-supervised Learning. | Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King |
| 2024 | IJCNN | Anomaly Detection on Attributed Network Based on Hyperbolic Radial Distance. | Tianyu Liu, Ruixin Yan, Irwin King |
| 2024 | IJCNN | Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study. | Hongye Wang, Ruonan Li, Zenglin Xu, Jinlong Li, Irwin King, Jie Liu |
| 2024 | IJCNN | Group IF Units with Membrane Potential Sharing for High-Accuracy Low-Latency Spiking Neural Networks. | Zhenxiong Ye, Weiming Zeng, Yunhua Chen, Ling Zhang, Jinsheng Xiao, Irwin King |
| 2024 | IJCNN | Efficient Spatio-temporal Event Representation Based on Kalman Filtering and Linear Weighted Timestamps. | Jinyu Zhong, Weiming Zeng, Yunhua Chen, Jinsheng Xiao, Irwin King |
| 2024 | KDD | Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. | Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King |
| 2024 | KDD | Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. | Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying |
| 2024 | KDD | Geometric View of Soft Decorrelation in Self-Supervised Learning. | Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King |
| 2024 | MICCAI | MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. | Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King |
| 2024 | MICCAI | TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. | Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King |
| 2024 | NAACL | FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering. | Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King |
| 2024 | NAACL | The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. | Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung |
| 2024 | NAACL | VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder. | Yueen Ma, Dafeng Chi, Jingjing Li, Kai Song, Yuzheng Zhuang, Irwin King |
| 2024 | NAACL | Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? | Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng |
| 2024 | WWW | FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. | Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King |
| 2024 | WWW | FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. | Irwin King, Guodong Long, Zenglin Xu, Han Yu |
| 2023 | AAAI | Graph Component Contrastive Learning for Concept Relatedness Estimation. | Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King |
| 2023 | AAAI | Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. | Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King |
| 2023 | ACL | Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. | Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu |
| 2023 | ACL | GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. | Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu |
| 2023 | CIKM | Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. | Zixing Song, Yuji Zhang, Irwin King |
| 2023 | ECAI | Neural Architecture Search for Explainable Networks. | Yaoman Li, Irwin King |
| 2023 | EMNLP | Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues. | Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong |
| 2023 | ICML | Hyperbolic Representation Learning: Revisiting and Advancing. | Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King |
| 2023 | ICONIP | Generalized Category Discovery with Clustering Assignment Consistency. | Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu |
| 2023 | IJCAI | FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. | Xinyu Fu, Irwin King |
| 2023 | IJCAI | Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. | Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King |
| 2023 | IJCAI | A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. | Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King |
| 2023 | IJCAI | 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 |
| 2023 | IJCNN | Flexible Contribution Estimation Methods for Horizontal Federated Learning. | Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King |
| 2023 | ICSE | Practical and Efficient Model Extraction of Sentiment Analysis APIs. | Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu |
| 2023 | KDD | κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. | Menglin Yang, Min Zhou, Lujia Pan, Irwin King |
| 2023 | KDD | Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. | Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King |
| 2023 | KDD | Contrastive Cross-scale Graph Knowledge Synergy. | Yifei Zhang, Yankai Chen, Zixing Song, Irwin King |
| 2023 | WWW | Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. | Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King |
| 2023 | WWW | 1st Workshop on Federated Learning Technologies. | Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King |
| 2023 | WWW | A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. | Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King |
| 2023 | SIGIR | WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. | Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King |
| 2023 | SIGIR | Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. | Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu |
| 2022 | AAAI | Text Revision By On-the-Fly Representation Optimization. | Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu |
| 2022 | AAAI | Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization. | Zixing Song, Irwin King |
| 2022 | EMNLP | Momentum Contrastive Pre-training for Question Answering. | Minda Hu, Muzhi Li, Yasheng Wang, Irwin King |
| 2022 | ICDE | Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. | Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King |
| 2022 | IJCNLP | An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. | Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King |
| 2022 | IJCNN | ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. | Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu |
| 2022 | KDD | Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. | Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King |
| 2022 | KDD | HICF: Hyperbolic Informative Collaborative Filtering. | Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King |
| 2022 | KDD | Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification. | Zixing Song, Yifei Zhang, Irwin King |
| 2022 | KDD | COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. | Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King |
| 2022 | NAACL | Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. | Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu |
| 2022 | WWW | HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. | Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King |
| 2022 | WWW | Graph-adaptive Rectified Linear Unit for Graph Neural Networks. | Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King |
| 2021 | ACL | BinaryBERT: Pushing the Limit of BERT Quantization. | Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King |
| 2021 | ACL | A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy. | Wang Chen, Piji Li, Irwin King |
| 2021 | ACL | Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. | Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King |
| 2021 | CIKM | Semi-supervised Multi-label Learning for Graph-structured Data. | Zixing Song, Ziqiao Meng, Yifei Zhang, Irwin King |
| 2021 | CVPR | Improving the Transferability of Adversarial Samples With Adversarial Transformations. | Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King |
| 2021 | ICONIP | DAP-BERT: Differentiable Architecture Pruning of BERT. | Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu |
| 2021 | IJCNN | Discrete Auto-regressive Variational Attention Models for Text Modeling. | Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King |
| 2021 | KDD | Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. | Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King |
| 2020 | AAAI | Few Shot Network Compression via Cross Distillation. | Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu |
| 2020 | AAAI | Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. | Wenxiang Jiao, Michael R. Lyu, Irwin King |
| 2020 | ACCV | Learning 3D Face Reconstruction with a Pose Guidance Network. | Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu |
| 2020 | ACL | Exclusive Hierarchical Decoding for Deep Keyphrase Generation. | Wang Chen, Hou Pong Chan, Piji Li, Irwin King |
| 2020 | ACL | Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. | Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi |
| 2020 | ACL | Photon: A Robust Cross-Domain Text-to-SQL System. | Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King |
| 2020 | CVPR | Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. | Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu |
| 2020 | CVPR | Boosting the Transferability of Adversarial Samples via Attention. | Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai |
| 2020 | CVPR | Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. | Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai |
| 2020 | EMNLP | Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. | Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King |
| 2020 | EMNLP | Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. | Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu |
| 2020 | EMNLP | Exploiting Unsupervised Data for Emotion Recognition in Conversations. | Wenxiang Jiao, Michael R. Lyu, Irwin King |
| 2020 | EMNLP | Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. | Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu |
| 2020 | EMNLP | VD-BERT: A Unified Vision and Dialog Transformer with BERT. | Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi |
| 2020 | EMNLP | Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. | Yue Wang, Jing Li, Michael R. Lyu, Irwin King |
| 2020 | ICDM | FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. | Menglin Yang, Ziqiao Meng, Irwin King |
| 2020 | ICONIP | A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. | Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King |
| 2020 | ICONIP | AutoGraph: Automated Graph Neural Network. | Yaoman Li, Irwin King |
| 2020 | ICONIP | A Survey of Graph Curvature and Embedding in Non-Euclidean Spaces. | Chandni Saxena, Tianyu Liu, Irwin King |
| 2020 | IJCAI | Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. | Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King |
| 2020 | WWW | MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. | Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King |
| 2020 | WWW | What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. | Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King |
| 2020 | SIGIR | A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss. | Hou Pong Chan, Wang Chen, Irwin King |
| 2019 | AAAI | Title-Guided Encoding for Keyphrase Generation. | Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu |
| 2019 | AAAI | Generating Distractors for Reading Comprehension Questions from Real Examinations. | Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu |
| 2019 | AAAI | DDFlow: Learning Optical Flow with Unlabeled Data Distillation. | Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu |
| 2019 | ACL | Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. | Hou Pong Chan, Wang Chen, Lu Wang, Irwin King |
| 2019 | ACL | Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. | Yifan Gao, Piji Li, Irwin King, Michael R. Lyu |
| 2019 | ACL | Topic-Aware Neural Keyphrase Generation for Social Media Language. | Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi |
| 2019 | CIKM | BigScholar 2019: The 6th Workshop on Big Scholarly Data. | Feng Xia, Huan Liu, Irwin King, Kuansan Wang |
| 2019 | CVPR | SelFlow: Self-Supervised Learning of Optical Flow. | Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu |
| 2019 | DSN | Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks. | Weibin Wu, Hui Xu, Sanqiang Zhong, Michael R. Lyu, Irwin King |
| 2019 | EMNLP | Improving Question Generation With to the Point Context. | Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu |
| 2019 | IJCAI | Difficulty Controllable Generation of Reading Comprehension Questions. | Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King |
| 2019 | IJCAI | Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. | Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu |
| 2019 | IJCAI | STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. | Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King |
| 2019 | ICSE | Emerging app issue identification from user feedback: experience on WeChat. | Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, Irwin King |
| 2019 | ISNN | Architecture Search for Image Inpainting. | Yaoman Li, Irwin King |
| 2019 | NAACL | An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. | Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King |
| 2019 | NAACL | HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. | Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2019 | NAACL | Microblog Hashtag Generation via Encoding Conversation Contexts. | Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi |
| 2018 | CIKM | Neural Relational Topic Models for Scientific Article Analysis. | Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu |
| 2018 | CIKM | Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization. | Yuxin Su, Michael R. Lyu, Irwin King |
| 2018 | EMNLP | Thread Popularity Prediction and Tracking with a Permutation-invariant Model. | Hou Pong Chan, Irwin King |
| 2018 | EMNLP | Topic Memory Networks for Short Text Classification. | Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King |
| 2018 | IJCAI | Code Completion with Neural Attention and Pointer Networks. | Jian Li, Yue Wang, Michael R. Lyu, Irwin King |
| 2018 | IJCAI | A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization. | Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang |
| 2018 | ICSE | Online app review analysis for identifying emerging issues. | Cuiyun Gao, Jichuan Zeng, Michael R. Lyu, Irwin King |
| 2017 | AAAI | CBRAP: Contextual Bandits with RAndom Projection. | Xiaotian Yu, Michael R. Lyu, Irwin King |
| 2017 | ADMA | From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach. | Xingyu Niu, Hongyi Zhang, Michael R. Lyu, Irwin King |
| 2017 | CIKM | Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network. | Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang |
| 2017 | ICDM | Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects. | Xiaotian Yu, Irwin King, Michael R. Lyu |
| 2017 | ICML | Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data. | Xixian Chen, Michael R. Lyu, Irwin King |
| 2017 | ICONIP | Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation. | Shenglin Zhao, Irwin King, Michael R. Lyu |
| 2017 | IJCNN | Simple and efficient parallelization for probabilistic temporal tensor factorization. | Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu |
| 2017 | IJCNN | It's about time! Modeling customer behaviors as the secretary problem in daily deal websites. | Tong Zhao, Mandy Hu, Razieh Rahimi, Irwin King |
| 2017 | IJCNN | Improving recommendation accuracy using networks of substitutable and complementary products. | Tong Zhao, Julian J. McAuley, Mengya Li, Irwin King |
| 2017 | WWW | Leveraging Social Connections to Improve Peer Assessment in MOOCs. | Hou Pong Chan, Irwin King |
| 2017 | WWW | Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. | Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong |
| 2017 | WWW | Dynamic Key-Value Memory Networks for Knowledge Tracing. | Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung |
| 2017 | WWW | Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation. | Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu |
| 2017 | SIGIR | Learning to Rank Using Localized Geometric Mean Metrics. | Yuxin Su, Irwin King, Michael R. Lyu |
| 2017 | SIGIR | Mining Business Opportunities from Location-based Social Networks. | Shenglin Zhao, Irwin King, Michael R. Lyu, Jia Zeng, Mingxuan Yuan |
| 2017 | UAI | FROSH: FasteR Online Sketching Hashing. | Xixian Chen, Irwin King, Michael R. Lyu |
| 2016 | AAAI | STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. | Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King |
| 2016 | CIKM | Constructing Reliable Gradient Exploration for Online Learning to Rank. | Tong Zhao, Irwin King |
| 2016 | ICONIP | An Online-Updating Approach on Task Recommendation in Crowdsourcing Systems. | Man-Ching Yuen, Irwin King, Kwong-Sak Leung |
| 2016 | ICONIP | Topological Order Discovery via Deep Knowledge Tracing. | Jiani Zhang, Irwin King |
| 2016 | ICONIP | Locality-Sensitive Linear Bandit Model for Online Social Recommendation. | Tong Zhao, Irwin King |
| 2016 | ICONIP | Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation. | Shenglin Zhao, Michael R. Lyu, Irwin King |
| 2016 | IJCAI | Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection. | Hongyi Zhang, Tong Zhao, Irwin King, Michael R. Lyu |
| 2016 | IJCNN | Distributed Information-Theoretic Metric Learning in Apache Spark. | Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2016 | IJCNN | Online non-negative dictionary learning via moment information for sparse Poisson coding. | Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2016 | WWW | Trust-aware Peer Assessment using Multi-armed Bandit Algorithms. | Hou Pong Chan, Tong Zhao, Irwin King |
| 2015 | AAAI | Kernelized Online Imbalanced Learning with Fixed Budgets. | Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So |
| 2015 | AAAI | Incorporating Implicit Link Preference Into Overlapping Community Detection. | Hongyi Zhang, Irwin King, Michael R. Lyu |
| 2015 | CIKM | Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation. | Tong Zhao, Julian J. McAuley, Irwin King |
| 2015 | CIKM | Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks. | Tong Zhao, H. Vicky Zhao, Irwin King |
| 2015 | IJCAI | Training-Efficient Feature Map for Shift-Invariant Kernels. | Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2015 | IJCAI | Exploiting k-Degree Locality to Improve Overlapping Community Detection. | Hongyi Zhang, Michael R. Lyu, Irwin King |
| 2015 | IJCNN | Group buying in social coupon: Myths or facts. | Yuanyuan Man, Mantian Mandy Hu, Irwin King |
| 2014 | CIKM | Axiomatic Analysis of Cross-Language Information Retrieval. | Razieh Rahimi, Azadeh Shakery, Irwin King |
| 2014 | CIKM | Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering. | Tong Zhao, Julian J. McAuley, Irwin King |
| 2014 | DSAA | Welcome from DSAA 2014 chairs. | Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang |
| 2014 | ICONIP | Corporate Leaders Analytics and Network System (CLANS): Constructing and Mining Social Networks among Corporations and Business Elites in China. | Yuanyuan Man, Shuai Wang, Tian-Yu Zhang, T. J. Wong, Irwin King |
| 2014 | ICONIP | Non-monotonic Feature Selection for Regression. | Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu |
| 2014 | IJCNN | Exploiting homophily-based implicit social network to improve recommendation performance. | Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King |
| 2014 | RecSys | Gradient boosting factorization machines. | Chen Cheng, Fen Xia, Tong Zhang, Irwin King, Michael R. Lyu |
| 2014 | RecSys | Ratings meet reviews, a combined approach to recommend. | Guang Ling, Michael R. Lyu, Irwin King |
| 2014 | WWW | Language technologies for enhancement of teaching and learning in writing. | Tak Pang Lau, Shuai Wang, Yuanyuan Man, Chi Fai Yuen, Irwin King |
| 2013 | EMNLP | A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers. | Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King, Michael R. Lyu |
| 2013 | ICONIP | Capturing Geographical Influence in POI Recommendations. | Shenglin Zhao, Irwin King, Michael R. Lyu |
| 2013 | IJCAI | Where You Like to Go Next: Successive Point-of-Interest Recommendation. | Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King |
| 2013 | IJCAI | A Unified Framework for Reputation Estimation in Online Rating Systems. | Guang Ling, Irwin King, Michael R. Lyu |
| 2013 | IJCAI | SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering. | Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, Jiaya Jia |
| 2012 | AAAI | Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. | Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2012 | AAAI | 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 |
| 2012 | CIKM | Information propagation in social rating networks. | Priyanka Garg, Irwin King, Michael R. Lyu |
| 2012 | CIKM | Do ads compete or collaborate?: designing click models with full relationship incorporated. | Xin Xin, Irwin King, Ritesh Agrawal, Michael R. Lyu, Heyan Huang |
| 2012 | ICONIP | Are You a Social Conformer? | Priyanka Garg, Irwin King, Michael R. Lyu |
| 2012 | ICONIP | TaskRec: Probabilistic Matrix Factorization in Task Recommendation in Crowdsourcing Systems. | Man-Ching Yuen, Irwin King, Kwong-Sak Leung |
| 2012 | IJCNN | Communities of Yahoo! Answers and Baidu Zhidao: Complementing or competing? | Baichuan Li, Michael R. Lyu, Irwin King |
| 2012 | IJCNN | Online learning for collaborative filtering. | Guang Ling, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2012 | WWW | Analyzing and predicting question quality in community question answering services. | Baichuan Li, Tan Jin, Michael R. Lyu, Irwin King, Barley Mak |
| 2012 | WWW | A classification-based approach to question routing in community question answering. | Tom Chao Zhou, Michael R. Lyu, Irwin King |
| 2011 | AAAI | Learning to Suggest Questions in Online Forums. | Tom Chao Zhou, Chin-Yew Lin, Irwin King, Michael R. Lyu, Young-In Song, Yunbo Cao |
| 2011 | CIKM | Question routing in community question answering: putting category in its place. | Baichuan Li, Irwin King, Michael R. Lyu |
| 2011 | CIKM | Question identification on twitter. | Baichuan Li, Xiance Si, Michael R. Lyu, Irwin King, Edward Y. Chang |
| 2011 | CIKM | Can irrelevant data help semi-supervised learning, why and how? | Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu |
| 2011 | CIKM | Towards a top-down and bottom-up bidirectional approach to joint information extraction. | Xiaofeng Yu, Irwin King, Michael R. Lyu |
| 2011 | ICONIP | Enrichment and Reductionism: Two Approaches for Web Query Classification. | Ritesh Agrawal, Xiaofeng Yu, Irwin King, Rmi Zajac |
| 2011 | ICONIP | Graphical Lasso Quadratic Discriminant Function for Character Recognition. | Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi |
| 2011 | IJCNN | Improving question retrieval in community question answering with label ranking. | Wei Wang, Baichuan Li, Irwin King |
| 2011 | SIGIR | Probabilistic factor models for web site recommendation. | Hao Ma, Chao Liu, Irwin King, Michael R. Lyu |
| 2010 | AAAI | Diversifying Query Suggestion Results. | Hao Ma, Michael R. Lyu, Irwin King |
| 2010 | AAAI | Smooth Optimization for Effective Multiple Kernel Learning. | Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King |
| 2010 | AAAI | UserRec: A User Recommendation Framework in Social Tagging Systems. | Tom Chao Zhou, Hao Ma, Michael R. Lyu, Irwin King |
| 2010 | CIKM | Routing questions to appropriate answerers in community question answering services. | Baichuan Li, Irwin King |
| 2010 | CIKM | Online learning for multi-task feature selection. | Haiqin Yang, Irwin King, Michael R. Lyu |
| 2010 | DASFAA | Introduction to Social Computing. | Irwin King |
| 2010 | ICML | Simple and Efficient Multiple Kernel Learning by Group Lasso. | Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2010 | ICML | Online Learning for Group Lasso. | Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu |
| 2010 | ICONIP | Exploit of Online Social Networks with Community-Based Graph Semi-Supervised Learning. | Mingzhen Mo, Irwin King |
| 2010 | ICONIP | An Enhanced Semi-supervised Recommendation Model Based on Green's Function. | Dingyan Wang, Irwin King |
| 2010 | IJCNN | Exploit of online social networks with Semi-Supervised Learning. | Mingzhen Mo, Dingyan Wang, Baichuan Li, Dan Hong, Irwin King |
| 2010 | IJCNN | Multi-task Learning for one-class classification. | Haiqin Yang, Irwin King, Michael R. Lyu |
| 2010 | ISSRE | FTCloud: A Component Ranking Framework for Fault-Tolerant Cloud Applications. | Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, Irwin King |
| 2010 | WWW | Introduction to social recommendation. | Irwin King, Michael R. Lyu, Hao Ma |
| 2009 | CIKM | Enhancing expertise retrieval using community-aware strategies. | Hongbo Deng, Irwin King, Michael R. Lyu |
| 2009 | CIKM | MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching. | Zhenjiang Lin, Michael R. Lyu, Irwin King |
| 2009 | CIKM | Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering. | Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu |
| 2009 | CIKM | A social recommendation framework based on multi-scale continuous conditional random fields. | Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu |
| 2009 | CIKM | Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems. | Tom Chao Zhou, Irwin King |
| 2009 | ICML | Non-monotonic feature selection. | Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King |
| 2009 | ICONIP | Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification. | Haiqin Yang, Irwin King |
| 2009 | IJCAI | Discriminative Semi-Supervised Feature Selection via Manifold Regularization. | Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King |
| 2009 | IJCNN | Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell |
| 2009 | IJCNN | A brief survey of computational approaches in Social Computing. | Irwin King, Jiexing Li, Kam Tong Chan |
| 2009 | ICWS | WSRec: A Collaborative Filtering Based Web Service Recommender System. | Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King |
| 2009 | KDD | A generalized Co-HITS algorithm and its application to bipartite graphs. | Hongbo Deng, Michael R. Lyu, Irwin King |
| 2009 | PAKDD | Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis. | Kam Tong Chan, Irwin King |
| 2009 | RecSys | Learning to recommend with trust and distrust relationships. | Hao Ma, Michael R. Lyu, Irwin King |
| 2009 | SIGIR | Entropy-biased models for query representation on the click graph. | Hongbo Deng, Irwin King, Michael R. Lyu |
| 2009 | SIGIR | Learning to recommend with social trust ensemble. | Hao Ma, Irwin King, Michael R. Lyu |
| 2008 | CIKM | Learning latent semantic relations from clickthrough data for query suggestion. | Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu |
| 2008 | CIKM | Mining social networks using heat diffusion processes for marketing candidates selection. | Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King |
| 2008 | CIKM | SoRec: social recommendation using probabilistic matrix factorization. | Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King |
| 2008 | CIKM | Semi-supervised text categorization by active search. | Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King |
| 2008 | ICDM | Formal Models for Expert Finding on DBLP Bibliography Data. | Hongbo Deng, Irwin King, Michael R. Lyu |
| 2008 | ICDM | Direct Zero-Norm Optimization for Feature Selection. | Kaizhu Huang, Irwin King, Michael R. Lyu |
| 2008 | ICDM | Semi-supervised Learning from General Unlabeled Data. | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu |
| 2008 | ICONIP | Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge. | Haiqin Yang, Irwin King |
| 2008 | IJCNN | Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. | Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu |
| 2007 | ICDAR | Bibliographic Attributes Extraction with Layer-upon-Layer Tagging. | Wei Wei, Irwin King, J. H. M. Lee |
| 2007 | ICONIP | Kernel Maximum a Posteriori Classification with Error Bound Analysis. | Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu |
| 2007 | IJCNN | Two-stage Multi-class AdaBoost for Facial Expression Recognition. | Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin King |
| 2007 | IJCNN | Large Scale Imbalanced Classification with Biased Minimax Probability Machine. | Xiang Peng, Irwin King |
| 2007 | IJCNN | Maximum Margin based Semi-supervised Spectral Kernel Learning. | Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King |
| 2007 | WWW | Efficient training on biased minimax probability machine for imbalanced text classification. | Xiang Peng, Irwin King |
| 2007 | WWW | Measuring credibility of users in an e-learning environment. | Wei Wei, Jimmy Ho-Man Lee, Irwin King |
| 2007 | WWW | Web page classification with heterogeneous data fusion. | Zenglin Xu, Irwin King, Michael R. Lyu |
| 2007 | SIGIR | Effective missing data prediction for collaborative filtering. | Hao Ma, Irwin King, Michael R. Lyu |
| 2007 | SIGIR | DiffusionRank: a possible penicillin for web spamming. | Haixuan Yang, Irwin King, Michael R. Lyu |
| 2006 | ICONIP | Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval Tasks. | Xiang Peng, Irwin King |
| 2006 | IJCNN | Local Support Vector Regression for Financial Time Series Prediction. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2006 | IJCNN | Predictive Random Graph Ranking on the Web. | Haixuan Yang, Irwin King, Michael R. Lyu |
| 2006 | IDEAL | Biased Minimax Probability Machine Active Learning for Relevance Feedback in Content-Based Image Retrieval. | Xiang Peng, Irwin King |
| 2006 | WWW | A user profile-based approach for personal information access: shaping your information portfolio. | Lo Ka Kan, Xiang Peng, Irwin King |
| 2006 | WWW | Bilingual web page and site readability assessment. | Tak Pang Lau, Irwin King |
| 2006 | WWW | PageSim: a novel link-based measure of web page aimilarity. | Zhenjiang Lin, Michael R. Lyu, Irwin King |
| 2005 | MMM | Semantic Video Summarization Using Mutual Reinforcement Principle and Shot Arrangement Patterns. | Shi Lu, Michael R. Lyu, Irwin King |
| 2005 | WWW | Information retrieval in P2P networks using genetic algorithm. | Wan Yeung Wong, Tak Pang Lau, Irwin King |
| 2005 | WWW | Predictive ranking: a novel page ranking approach by estimating the web structure. | Haixuan Yang, Irwin King, Michael R. Lyu |
| 2004 | CVPR | Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2004 | ICML | Learning large margin classifiers locally and globally. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2004 | ICONIP | Using Biased Support Vector Machine to Improve Retrieval Result in Image Retrieval with Self-organizing Map. | Chi-Hang Chan, Irwin King |
| 2004 | ICONIP | Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. | Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu |
| 2004 | IJCNN | Biased support vector machine for relevance feedback in image retrieval. | Steven Chu-Hong Hoi, Chi-Hang Chan, Kaizhu Huang, Michael R. Lyu, Irwin King |
| 2004 | ISAIM | Biased Minimax Probability Machine for Medical Diagnosis. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan |
| 2004 | ISCAS | Video summarization by spatial-temporal graph optimization. | Shi Lu, Michael R. Lyu, Irwin King |
| 2003 | CAIP | A Face Processing System Based on Committee Machine: The Approach and Experimental Results. | Kim-Fung Jang, Ho-Man Tang, Michael R. Lyu, Irwin King |
| 2003 | ICANN | Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. | Kaizhu Huang, Irwin King, Michael R. Lyu |
| 2003 | ICASSP | Face recognition committee machine. | Ho-Man Tang, Michael R. Lyu, Irwin King |
| 2003 | ICIAP | Face recognition committee machines: dynamic vs. static structures. | Ho-Man Tang, Michael R. Lyu, Irwin King |
| 2002 | IDEAL | Support Vector Machine Regression for Volatile Stock Market Prediction. | Haiqin Yang, Laiwan Chan, Irwin King |
| 2001 | PAKDD | Hierarchical Classification of Documents with Error Control. | Chun Hung Cheng, Jian Tang, Ada Wai-Chee Fu, Irwin King |
| 2000 | IJCNN | Regression Analysis for Rival Penalized Competitive Learning Binary Tree. | Xuequn Li, Irwin King |
| 1999 | IJCNN | Gaussian mixture distance for information retrieval. | Xiaoqi Li, Irwin King |
| 1998 | ACCV | Montage: An Image Database for the Fashion, Textile, and Clothing Industry in Hong Kong. | Tak-Kan Lau, Irwin King |
| 1998 | ACCV | An Efficient Iterative Pose Estimation Algorithm. | Siu-Hang Or, W. S. Luk, Kin-hong Wong, Irwin King |
| 1998 | ICONIP | Noise Removal Based on Classification of Wavelet Coefficients Using Counterpropagation Neural Networks. | Xuequn Li, Irwin King |
| 1998 | ICPR | Intra-block algorithm for digital watermarking. | F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu |
| 1998 | SMC | Probabilistic cooperative-competitive hierarchical modeling as a genetic operator in global optimization. | Kwong-Sak Leung, T. J. Wong, Irwin King |
| 1997 | ICIAP | A Two-Stage Framework for Polygon Retrieval Using Minimum Circular Error Bound. | Lun Hsing Tung, Irwin King |
| 1997 | ICONIP | Competitive Learning Clustering for Information Retrieval in Image Databases. | Irwin King, Tak-Kan Lau |
| 1996 | ICPR | Randomized generalized Hough transform for 2-D gray scale object detection. | Pina-Fu Fung, Wing-Sze Lee, Irwin King |