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ORCIDIrwin King
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- affiliation: Chinese University of Hong Kong
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2020 – today
- 2024
[j91]Xinyu Fu
, Irwin King:
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks. Neural Networks 170: 266-275 (2024)- [j90]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu:
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36(5): 2026-2040 (2024) - [j89]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye:
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36(5): 2213-2223 (2024) - [j88]Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King:
Guest Editorial: Special Issue on Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11630-11633 (2024) - [c330]Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King:
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. AAAI 2024: 4614-4622 - [c329]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI 2024: 8302-8310 - [c328]Zixing Song, Ziqiao Meng, Irwin King:
A Diffusion-Based Pre-training Framework for Crystal Property Prediction. AAAI 2024: 8993-9001 - [c327]Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King:
Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI 2024: 9368-9376 - [c326]Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King:
An Entropy-based Text Watermarking Detection Method. ACL (1) 2024: 11724-11735 - [c325]Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu:
An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR 2024 - [c324]Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King:
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. IJCAI 2024: 5981-5989 - [c323]Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King:
A Systematic Survey on Federated Semi-supervised Learning. IJCAI 2024: 8244-8252 - [c322]Tianyu Liu, Ruixin Yan, Irwin King:
Anomaly Detection on Attributed Network Based on Hyperbolic Radial Distance. IJCNN 2024: 1-8 - [c321]Hongye Wang, Ruonan Li, Zenglin Xu, JinLong Li, Irwin King, Jie Liu:
Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study. IJCNN 2024: 1-8 - [c320]Zhenxiong Ye, Weiming Zeng, Yunhua Chen, Ling Zhang, Jinsheng Xiao, Irwin King:
Group IF Units with Membrane Potential Sharing for High-Accuracy Low-Latency Spiking Neural Networks. IJCNN 2024: 1-8 - [c319]Jinyu Zhong, Weiming Zeng, Yunhua Chen, Jinsheng Xiao, Irwin King:
Efficient Spatio-temporal Event Representation Based on Kalman Filtering and Linear Weighted Timestamps. IJCNN 2024: 1-7 - [c318]Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King:
Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. KDD 2024: 385-396 - [c317]Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying:
Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. KDD 2024: 3770-3781 - [c316]Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD 2024: 4338-4349 - [c315]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. MICCAI (4) 2024: 318-328 - [c314]Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. MICCAI (4) 2024: 503-513 - [c313]Yueen Ma, Dafeng Chi, Jingjing Li, Kai Song, Yuzheng Zhuang, Irwin King:
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder. NAACL-HLT (Findings) 2024: 364-378 - [c312]Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King:
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering. NAACL-HLT (Findings) 2024: 1519-1528 - [c311]Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng:
Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? NAACL-HLT (Findings) 2024: 2227-2242 - [c310]Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung:
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. NAACL-HLT 2024: 6625-6638 - [c309]Irwin King, Guodong Long, Zenglin Xu, Han Yu:
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. WWW (Companion Volume) 2024: 1546-1547 - [c308]Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King:
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. WWW (Companion Volume) 2024: 1558-1567 - [e26]Ashish Ghosh, Irwin King, Malay Bhattacharyya, Shubhra Sankar Ray, Sankar K. Pal:
Pattern Recognition and Machine Intelligence - 9th International Conference, PReMI 2021, Kolkata, India, December 15-18, 2021, Proceedings. Lecture Notes in Computer Science 13102, Springer 2024, ISBN 978-3-031-12699-4 [contents] - [i135]Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King:
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. CoRR abs/2401.07212 (2024) - [i134]Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li:
Progress and Opportunities of Foundation Models in Bioinformatics. CoRR abs/2402.04286 (2024) - [i133]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR abs/2402.12411 (2024) - [i132]Zexuan Qiu, Jingjing Li, Shijue Huang, Wanjun Zhong, Irwin King:
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. CoRR abs/2403.03514 (2024) - [i131]Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King:
An Entropy-based Text Watermarking Detection Method. CoRR abs/2403.13485 (2024) - [i130]Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung:
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. CoRR abs/2404.08313 (2024) - [i129]Junfan Li, Zenglin Xu, Zheshun Wu, Irwin King:
On the Necessity of Collaboration in Online Model Selection with Decentralized Data. CoRR abs/2404.09494 (2024) - [i128]Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King:
MarkLLM: An Open-Source Toolkit for LLM Watermarking. CoRR abs/2405.10051 (2024) - [i127]Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King:
A Survey on Vision-Language-Action Models for Embodied AI. CoRR abs/2405.14093 (2024) - [i126]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. CoRR abs/2406.09696 (2024) - [i125]Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King:
Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization. CoRR abs/2406.11258 (2024) - [i124]Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King:
Mitigating Large Language Model Hallucination with Faithful Finetuning. CoRR abs/2406.11267 (2024) - [i123]Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King:
Entropy-Based Decoding for Retrieval-Augmented Large Language Models. CoRR abs/2406.17519 (2024) - [i122]Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying:
Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space. CoRR abs/2407.01290 (2024) - [i121]Yali Fu, Jindong Li, Jiahong Liu, Qianli Xing, Qi Wang, Irwin King:
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection. CoRR abs/2407.02057 (2024) - [i120]Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Jianye Hao, Irwin King:
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning. CoRR abs/2408.01147 (2024) - [i119]Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. CoRR abs/2408.09239 (2024) - [i118]Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu:
WaterSeeker: Efficient Detection of Watermarked Segments in Large Documents. CoRR abs/2409.05112 (2024) - [i117]Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang:
Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR abs/2409.09957 (2024) - 2023
- [b2]Irwin King, Wei-I Lee:
A Decade of MOOCs and Beyond - Platforms, Policies, Pedagogy, Technology, and Ecosystems with an Emphasis on Greater China. Springer 2023, ISBN 978-3-031-15240-5, pp. 1-177 - [j87]King Woon Yau, Ching Sing Chai, Thomas K. F. Chiu, Helen Meng, Irwin King, Yeung Yam:
A phenomenographic approach on teacher conceptions of teaching Artificial Intelligence (AI) in K-12 schools. Educ. Inf. Technol. 28(1): 1041-1064 (2023) - [j86]Yaozu Wu, Yankai Chen, Zhishuai Yin, Weiping Ding, Irwin King:
A survey on graph embedding techniques for biomedical data: Methods and applications. Inf. Fusion 100: 101909 (2023) - [j85]Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King:
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs. IEEE Trans. Knowl. Data Eng. 35(5): 4555-4569 (2023) - [j84]Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu:
A Survey on Deep Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 35(9): 8934-8954 (2023) - [j83]Menglin Yang, Min Zhou, Hui Xiong, Irwin King:
Hyperbolic Temporal Network Embedding. IEEE Trans. Knowl. Data Eng. 35(11): 11489-11502 (2023) - [j82]Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King:
Graph-Based Semi-Supervised Learning: A Comprehensive Review. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8174-8194 (2023) - [c307]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. AAAI 2023: 11289-11297 - [c306]Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King:
Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI 2023: 13362-13370 - [c305]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) 2023: 303-311 - [c304]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) 2023: 10221-10234 - [c303]Zixing Song, Yuji Zhang, Irwin King:
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. CIKM 2023: 2331-2341 - [c302]Yaoman Li, Irwin King:
Neural Architecture Search for Explainable Networks. ECAI 2023: 1447-1454 - [c301]Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong:
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues. EMNLP (Findings) 2023: 9556-9569 - [c300]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. ICML 2023: 39639-39659 - [c299]Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu:
Generalized Category Discovery with Clustering Assignment Consistency. ICONIP (5) 2023: 535-547 - [c298]Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu:
Practical and Efficient Model Extraction of Sentiment Analysis APIs. ICSE 2023: 524-536 - [c297]Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King:
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. IJCAI 2023: 1587-1595 - [c296]Xinyu Fu, Irwin King:
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. IJCAI 2023: 3705-3713 - [c295]Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King:
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. IJCAI 2023: 4064-4072 - [c294]Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King:
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. IJCAI 2023: 6723-6731 - [c293]Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King:
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN 2023: 1-8 - [c292]Menglin Yang, Min Zhou, Lujia Pan, Irwin King:
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD 2023: 2965-2977 - [c291]Yifei Zhang, Yankai Chen, Zixing Song, Irwin King:
Contrastive Cross-scale Graph Knowledge Synergy. KDD 2023: 3422-3433 - [c290]Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King:
Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. KDD 2023: 5843-5844 - [c289]Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King:
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily. NeurIPS 2023 - [c288]Zixing Song, Yifei Zhang, Irwin King:
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. NeurIPS 2023 - [c287]Zixing Song, Yifei Zhang, Irwin King:
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning. NeurIPS 2023 - [c286]Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King:
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS 2023 - [c285]Ziqiao Meng, Yaoman Li, Peilin Zhao, Yang Yu, Irwin King:
Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction. SDM 2023: 811-819 - [c284]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR 2023: 2436-2440 - [c283]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR 2023: 2521-2525 - [c282]Yuan Xu, Ching Sing Chai, Helen Meng, Savio Wai-Ho Wong, King Woon Yau, Thomas K. F. Chiu, Irwin King, Yeung Yam:
An experiential learning approach to learn AI in an online workshop. TALE 2023: 1-6 - [c281]Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King:
1st Workshop on Federated Learning Technologies. WWW (Companion Volume) 2023: 1150 - [c280]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. WWW (Companion Volume) 2023: 1167-1176 - [c279]Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. WWW 2023: 3164-3172 - [i116]Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li:
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. CoRR abs/2301.05931 (2023) - [i115]Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King:
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2301.08125 (2023) - [i114]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. CoRR abs/2302.10637 (2023) - [i113]Conghao Xiong, Yi Lin, Hao Chen, Joseph J. Y. Sung, Irwin King:
Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification. CoRR abs/2303.05780 (2023) - [i112]Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. CoRR abs/2304.00241 (2023) - [i111]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR abs/2305.03503 (2023) - [i110]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR abs/2305.04410 (2023) - [i109]Xinyu Fu, Irwin King:
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. CoRR abs/2305.09729 (2023) - [i108]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR abs/2305.16166 (2023) - [i107]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR abs/2305.16663 (2023) - [i106]Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King:
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. CoRR abs/2306.06119 (2023) - [i105]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. CoRR abs/2306.09118 (2023) - [i104]Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King:
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. CoRR abs/2306.15890 (2023) - [i103]Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King:
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. CoRR abs/2307.00852 (2023) - [i102]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR abs/2307.03759 (2023) - [i101]Aiwei Liu, Leyi Pan, Xuming Hu, Shu'ang Li, Lijie Wen, Irwin King, Philip S. Yu:
A Private Watermark for Large Language Models. CoRR abs/2307.16230 (2023) - [i100]Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng:
Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? CoRR abs/2308.15399 (2023) - [i99]Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong:
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue. CoRR abs/2310.08840 (2023) - [i98]Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King:
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning. CoRR abs/2310.18209 (2023) - [i97]Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu:
Generalized Category Discovery with Clustering Assignment Consistency. CoRR abs/2310.19210 (2023) - [i96]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR abs/2311.06487 (2023) - [i95]Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. CoRR abs/2312.07913 (2023) - 2022
- [j81]Wenkai Han, Yuqi Cheng, Jiayang Chen, Huawen Zhong, Zhihang Hu, Siyuan Chen, Licheng Zong, Liang Hong, Ting-Fung Chan, Irwin King, Xin Gao, Yu Li:
Self-supervised contrastive learning for integrative single cell RNA-seq data analysis. Briefings Bioinform. 23(5) (2022) - [j80]Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Understanding in-app advertising issues based on large scale app review analysis. Inf. Softw. Technol. 142: 106741 (2022) - [j79]Yao Ma, Shilin Zhao, Weixiao Wang, Yaoman Li, Irwin King:
Multimodality in meta-learning: A comprehensive survey. Knowl. Based Syst. 250: 108976 (2022) - [j78]Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5026-5041 (2022) - [j77]Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu:
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 931-943 (2022) - [j76]Thomas K. F. Chiu, Helen Meng, Ching-Sing Chai, Irwin King, Savio Wong, Yeung Yam:
Creation and Evaluation of a Pretertiary Artificial Intelligence (AI) Curriculum. IEEE Trans. Educ. 65(1): 30-39 (2022) - [j75]Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. IEEE Trans. Software Eng. 48(8): 3025-3043 (2022) - [c278]Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu:
Text Revision By On-the-Fly Representation Optimization. AAAI 2022: 10956-10964 - [c277]Zixing Song, Irwin King:
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization. AAAI 2022: 11340-11348 - [c276]Minda Hu, Muzhi Li, Yasheng Wang, Irwin King:
Momentum Contrastive Pre-training for Question Answering. EMNLP 2022: 4324-4330 - [c275]Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. ICDE 2022: 299-311 - [c274]Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King:
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. AACL/IJCNLP (2) 2022: 102-108 - [c273]Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu:
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. IJCNN 2022: 1-8 - [c272]Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King:
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. KDD 2022: 168-178 - [c271]Zixing Song, Yifei Zhang, Irwin King:
Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification. KDD 2022: 1656-1665 - [c270]Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King:
HICF: Hyperbolic Informative Collaborative Filtering. KDD 2022: 2212-2221 - [c269]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. KDD 2022: 2524-2534 - [c268]Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. NAACL-HLT (Findings) 2022: 1233-1246 - [c267]Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. NeurIPS 2022 - [c266]King Woon Yau, Ching Sing Chai, Thomas K. F. Chiu, Helen Meng, Irwin King, Savio Wai-Ho Wong, Chandni Saxena, Yeung Yam:
Developing an AI literacy test for junior secondary students: The first stage. TALE 2022: 59-64 - [c265]Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King:
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM 2022: 94-102 - [c264]Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. WWW 2022: 1331-1339 - [c263]Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King:
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. WWW 2022: 2462-2471 - [i94]Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. CoRR abs/2202.06281 (2022) - [i93]Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King:
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs. CoRR abs/2202.07826 (2022) - [i92]Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King:
Hyperbolic Graph Neural Networks: A Review of Methods and Applications. CoRR abs/2202.13852 (2022) - [i91]Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu:
Text Revision by On-the-Fly Representation Optimization. CoRR abs/2204.07359 (2022) - [i90]Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King:
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. CoRR abs/2204.08176 (2022) - [i89]Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. CoRR abs/2205.10471 (2022) - [i88]Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King:
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. CoRR abs/2206.02115 (2022) - [i87]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. CoRR abs/2206.04726 (2022) - [i86]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye:
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization. CoRR abs/2206.08181 (2022) - [i85]Yueen Ma, Zixing Song, Chirui Chang, Yue Yu, Irwin King:
ConcreteGraph: A Data Augmentation Method Leveraging the Properties of Concept Relatedness Estimation. CoRR abs/2206.12556 (2022) - [i84]Tao Shen, Zhihang Hu, Zhangzhi Peng, Jiayang Chen, Peng Xiong, Liang Hong, Liangzhen Zheng, Yixuan Wang, Irwin King, Sheng Wang, Siqi Sun, Yu Li:
E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction. CoRR abs/2207.01586 (2022) - [i83]Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King:
HICF: Hyperbolic Informative Collaborative Filtering. CoRR abs/2207.09051 (2022) - [i82]Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King:
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. CoRR abs/2209.13973 (2022) - [i81]Min Zhou, Menglin Yang, Lujia Pan, Irwin King:
Hyperbolic Graph Representation Learning: A Tutorial. CoRR abs/2211.04050 (2022) - [i80]Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu:
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. CoRR abs/2211.06014 (2022) - [i79]Xinyu Fu, Irwin King:
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks. CoRR abs/2211.12792 (2022) - [i78]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. CoRR abs/2212.01026 (2022) - [i77]Menglin Yang, Min Zhou, Lujia Pan, Irwin King:
Hyperbolic Curvature Graph Neural Network. CoRR abs/2212.01793 (2022) - [i76]Minda Hu, Muzhi Li, Yasheng Wang, Irwin King:
Momentum Contrastive Pre-training for Question Answering. CoRR abs/2212.05762 (2022) - 2021
- [j74]Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do users care about ad's performance costs? Exploring the effects of the performance costs of in-app ads on user experience. Inf. Softw. Technol. 132: 106471 (2021) - [j73]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
Temporal context-aware task recommendation in crowdsourcing systems. Knowl. Based Syst. 219: 106770 (2021) - [j72]Hou Pong Chan, Irwin King:
A condense-then-select strategy for text summarization. Knowl. Based Syst. 227: 107235 (2021) - [j71]Wang Chen, Piji Li, Hou Pong Chan, Irwin King:
Dialogue summarization with supporting utterance flow modelling and fact regularization. Knowl. Based Syst. 229: 107328 (2021) - [j70]Irwin King, Chandni Saxena, Christian Pak, Chak Ming Lam, Haiyan Cai:
Rethinking Engineering Education: Policy, Pedagogy, and Assessment During Crises. IEEE Signal Process. Mag. 38(3): 174-184 (2021) - [j69]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. Trans. Assoc. Comput. Linguistics 9: 1213-1232 (2021) - [j68]Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu:
Making Online Sketching Hashing Even Faster. IEEE Trans. Knowl. Data Eng. 33(3): 1089-1101 (2021) - [j67]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1763-1777 (2021) - [j66]Wei Wang, Jiaying Liu, Tao Tang, Suppawong Tuarob, Feng Xia, Zhiguo Gong, Irwin King:
Attributed Collaboration Network Embedding for Academic Relationship Mining. ACM Trans. Web 15(1): 4:1-4:20 (2021) - [c262]Wang Chen, Piji Li, Irwin King:
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy. ACL/IJCNLP (1) 2021: 404-414 - [c261]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. ACL/IJCNLP (1) 2021: 2840-2850 - [c260]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. ACL/IJCNLP (1) 2021: 4334-4348 - [c259]Zixing Song, Ziqiao Meng, Yifei Zhang, Irwin King:
Semi-supervised Multi-label Learning for Graph-structured Data. CIKM 2021: 1723-1733 - [c258]Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King:
Improving the Transferability of Adversarial Samples With Adversarial Transformations. CVPR 2021: 9024-9033 - [c257]Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu:
DAP-BERT: Differentiable Architecture Pruning of BERT. ICONIP (1) 2021: 367-378 - [c256]Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. IJCNN 2021: 1-8 - [c255]Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King:
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD 2021: 1975-1985 - [c254]Zhihang Hu, Bhaavanaa Thumu, Yuren Qin, ZhiSheng Tao, Yijian Lu, Omar Kan, Yu Li, Irwin King:
DeepCURATER: Deep Learning for CoURse And Teaching Evaluation and Review. TALE 2021: 646-653 - [i75]Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King:
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. CoRR abs/2101.06569 (2021) - [i74]Thomas K. F. Chiu, Helen Meng, Ching-Sing Chai, Irwin King, Savio Wong, Yeung Yam:
Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum. CoRR abs/2101.07570 (2021) - [i73]Yifan Gao, Jingjing Li, Michael R. Lyu, Irwin King:
Open-Retrieval Conversational Machine Reading. CoRR abs/2102.08633 (2021) - [i72]Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King:
Graph-based Semi-supervised Learning: A Comprehensive Review. CoRR abs/2102.13303 (2021) - [i71]Menglin Yang, Ziqiao Meng, Irwin King:
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. CoRR abs/2103.00164 (2021) - [i70]Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu:
A Survey on Deep Semi-supervised Learning. CoRR abs/2103.00550 (2021) - [i69]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. CoRR abs/2106.00941 (2021) - [i68]Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation. CoRR abs/2106.04195 (2021) - [i67]Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. CoRR abs/2106.08571 (2021) - [i66]Hou Pong Chan, Irwin King:
A Condense-then-Select Strategy for Text Summarization. CoRR abs/2106.10468 (2021) - [i65]Wang Chen, Piji Li, Irwin King:
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy. CoRR abs/2106.13945 (2021) - [i64]Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King:
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR abs/2107.03767 (2021) - [i63]Wang Chen, Piji Li, Hou Pong Chan, Irwin King:
Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization. CoRR abs/2108.01268 (2021) - [i62]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. CoRR abs/2108.03405 (2021) - [i61]Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King:
Modeling Scale-free Graphs for Knowledge-aware Recommendation. CoRR abs/2108.06468 (2021) - [i60]Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. CoRR abs/2109.02046 (2021) - [i59]Yao Ma, Shilin Zhao, Weixiao Wang, Yaoman Li, Irwin King:
Multimodality in Meta-Learning: A Comprehensive Survey. CoRR abs/2109.13576 (2021) - [i58]Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. CoRR abs/2109.15082 (2021) - [i57]Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King:
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR abs/2112.01944 (2021) - 2020
- [j65]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-Aware Covariance Estimator From Compressed Data. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2441-2454 (2020) - [c253]Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. AAAI 2020: 3203-3210 - [c252]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. AAAI 2020: 8002-8009 - [c251]Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu:
Learning 3D Face Reconstruction with a Pose Guidance Network. ACCV (5) 2020: 154-169 - [c250]Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King:
Photon: A Robust Cross-Domain Text-to-SQL System. ACL (demo) 2020: 204-214 - [c249]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. ACL 2020: 935-945 - [c248]Wang Chen, Hou Pong Chan, Piji Li, Irwin King:
Exclusive Hierarchical Decoding for Deep Keyphrase Generation. ACL 2020: 1095-1105 - [c247]Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Boosting the Transferability of Adversarial Samples via Attention. CVPR 2020: 1158-1167 - [c246]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. CVPR 2020: 6647-6656 - [c245]Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. CVPR 2020: 8649-8658 - [c244]Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King:
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. EMNLP (Findings) 2020: 431-440 - [c243]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP (1) 2020: 2255-2266 - [c242]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. EMNLP (1) 2020: 2439-2449 - [c241]Yue Wang, Jing Li, Michael R. Lyu, Irwin King:
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. EMNLP (1) 2020: 3311-3324 - [c240]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. EMNLP (1) 2020: 3325-3338 - [c239]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. EMNLP (Findings) 2020: 4839-4846 - [c238]Menglin Yang, Ziqiao Meng, Irwin King:
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. ICDM 2020: 731-740 - [c237]Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King:
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. ICONIP (5) 2020: 21-29 - [c236]Chandni Saxena, Tianyu Liu, Irwin King:
A Survey of Graph Curvature and Embedding in Non-Euclidean Spaces. ICONIP (2) 2020: 127-139 - [c235]Yaoman Li, Irwin King:
AutoGraph: Automated Graph Neural Network. ICONIP (2) 2020: 189-201 - [c234]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI 2020: 3544-3550 - [c233]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. NeurIPS 2020 - [c232]Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng:
Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS 2020 - [c231]Hou Pong Chan, Wang Chen, Irwin King:
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss. SIGIR 2020: 1191-1200 - [c230]Rudi Santoso Chow, Chak Ming Lam, Irwin King:
Crisis Resilience Pedagogy (CRP) for Teaching and Learning. TALE 2020: 384-391 - [c229]Haiyan Cai, Irwin King:
Education Technology for Online Learning in Times of Crisis. TALE 2020: 758-763 - [c228]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. WWW 2020: 1502-1513 - [c227]Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King:
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. WWW 2020: 2331-2341 - [e25]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part IV. Communications in Computer and Information Science 1332, Springer 2020, ISBN 978-3-030-63819-1 [contents] - [e24]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V. Communications in Computer and Information Science 1333, Springer 2020, ISBN 978-3-030-63822-1 [contents] - [e23]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12532, Springer 2020, ISBN 978-3-030-63829-0 [contents] - [e22]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12533, Springer 2020, ISBN 978-3-030-63832-0 [contents] - [e21]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12534, Springer 2020, ISBN 978-3-030-63835-1 [contents] - [e20]Yennun Huang, Irwin King, Tie-Yan Liu, Maarten van Steen:
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020. ACM / IW3C2 2020, ISBN 978-1-4503-7023-3 [contents] - [i56]Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King:
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. CoRR abs/2002.01680 (2020) - [i55]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. CoRR abs/2002.03536 (2020) - [i54]Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. CoRR abs/2002.03552 (2020) - [i53]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. CoRR abs/2004.02138 (2020) - [i52]Wang Chen, Hou Pong Chan, Piji Li, Irwin King:
Exclusive Hierarchical Decoding for Deep Keyphrase Generation. CoRR abs/2004.08511 (2020) - [i51]Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Variational Attention Models for Language Generation. CoRR abs/2004.09764 (2020) - [i50]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. CoRR abs/2004.13278 (2020) - [i49]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. CoRR abs/2005.12484 (2020) - [i48]Hou Pong Chan, Wang Chen, Irwin King:
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss. CoRR abs/2006.01592 (2020) - [i47]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. CoRR abs/2007.08557 (2020) - [i46]Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi:
Photon: A Robust Cross-Domain Text-to-SQL System. CoRR abs/2007.15280 (2020) - [i45]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining. CoRR abs/2008.07097 (2020) - [i44]Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. CoRR abs/2008.09976 (2020) - [i43]Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis. CoRR abs/2008.12112 (2020) - [i42]Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King:
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. CoRR abs/2010.01495 (2020) - [i41]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. CoRR abs/2010.01838 (2020) - [i40]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. CoRR abs/2010.01908 (2020) - [i39]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. CoRR abs/2010.02552 (2020) - [i38]Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu:
Learning 3D Face Reconstruction with a Pose Guidance Network. CoRR abs/2010.04384 (2020) - [i37]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Making Online Sketching Hashing Even Faster. CoRR abs/2010.04948 (2020) - [i36]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-aware Covariance Estimator from Compressed Data. CoRR abs/2010.04966 (2020) - [i35]Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience. CoRR abs/2010.16063 (2020) - [i34]Yue Wang, Jing Li, Michael R. Lyu, Irwin King:
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. CoRR abs/2011.01565 (2020) - [i33]Yaoman Li, Irwin King:
AutoGraph: Automated Graph Neural Network. CoRR abs/2011.11288 (2020) - [i32]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. CoRR abs/2012.15701 (2020)
2010 – 2019
- 2019
- [j64]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. Trans. Assoc. Comput. Linguistics 7: 267-281 (2019) - [c226]Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu:
Title-Guided Encoding for Keyphrase Generation. AAAI 2019: 6268-6275 - [c225]Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. AAAI 2019: 6423-6430 - [c224]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
DDFlow: Learning Optical Flow with Unlabeled Data Distillation. AAAI 2019: 8770-8777 - [c223]Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. ACL (1) 2019: 2163-2174 - [c222]Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi:
Topic-Aware Neural Keyphrase Generation for Social Media Language. ACL (1) 2019: 2516-2526 - [c221]Yifan Gao, Piji Li, Irwin King, Michael R. Lyu:
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. ACL (1) 2019: 4853-4862 - [c220]Feng Xia, Huan Liu, Irwin King, Kuansan Wang:
BigScholar 2019: The 6th Workshop on Big Scholarly Data. CIKM 2019: 3003-3004 - [c219]Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
SelFlow: Self-Supervised Learning of Optical Flow. CVPR 2019: 4571-4580 - [c218]Weibin Wu, Hui Xu, Sanqiang Zhong, Michael R. Lyu, Irwin King:
Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks. DSN 2019: 125-137 - [c217]Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. EMNLP/IJCNLP (1) 2019: 3214-3224 - [c216]Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, Irwin King:
Emerging app issue identification from user feedback: experience on WeChat. ICSE (SEIP) 2019: 279-288 - [c215]Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu:
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. IJCAI 2019: 3483-3489 - [c214]Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King:
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. IJCAI 2019: 4264-4270 - [c213]Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King:
Difficulty Controllable Generation of Reading Comprehension Questions. IJCAI 2019: 4968-4974 - [c212]Yaoman Li, Irwin King:
Architecture Search for Image Inpainting. ISNN (1) 2019: 106-115 - [c211]Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. ASE 2019: 163-175 - [c210]Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. NAACL-HLT (1) 2019: 397-406 - [c209]Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi:
Microblog Hashtag Generation via Encoding Conversation Contexts. NAACL-HLT (1) 2019: 1624-1633 - [c208]Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. NAACL-HLT (1) 2019: 2846-2856 - [c207]Rudi Chow, Marco Ho, Irwin King:
Online Micro-Modules Library Production for Fundamental Programming Courses with Active Learning. TALE 2019: 1-5 - [i31]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
DDFlow: Learning Optical Flow with Unlabeled Data Distillation. CoRR abs/1902.09145 (2019) - [i30]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. CoRR abs/1903.07319 (2019) - [i29]Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. CoRR abs/1904.03454 (2019) - [i28]Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition. CoRR abs/1904.04446 (2019) - [i27]Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
SelFlow: Self-Supervised Learning of Optical Flow. CoRR abs/1904.09117 (2019) - [i26]Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi:
Microblog Hashtag Generation via Encoding Conversation Contexts. CoRR abs/1905.07584 (2019) - [i25]Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King:
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. CoRR abs/1905.13129 (2019) - [i24]Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi:
Topic-Aware Neural Keyphrase Generation for Social Media Language. CoRR abs/1906.03889 (2019) - [i23]Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. CoRR abs/1906.04106 (2019) - [i22]Yifan Gao, Piji Li, Irwin King, Michael R. Lyu:
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. CoRR abs/1906.06893 (2019) - [i21]Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. CoRR abs/1910.06036 (2019) - [i20]Wenxiang Jiao, Michael R. Lyu, Irwin King:
PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition. CoRR abs/1910.08916 (2019) - [i19]Wenxiang Jiao, Irwin King, Michael R. Lyu:
Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling. CoRR abs/1910.09362 (2019) - [i18]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. CoRR abs/1911.09075 (2019) - [i17]Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. CoRR abs/1911.09450 (2019) - 2018
- [b1]Shenglin Zhao, Michael R. Lyu, Irwin King:
Point-of-Interest Recommendation in Location-Based Social Networks. Springer Briefs in Computer Science, Springer 2018, ISBN 978-981-13-1348-6, pp. 1-99 - [j63]Shenglin Zhao, Irwin King, Michael R. Lyu:
Aggregated Temporal Tensor Factorization Model for Point-of-Interest Recommendation. Neural Process. Lett. 47(3): 975-992 (2018) - [j62]Hongyi Zhang, Xingyu Niu, Irwin King, Michael R. Lyu:
Overlapping community detection with preference and locality information: a non-negative matrix factorization approach. Soc. Netw. Anal. Min. 8(1): 43:1-43:14 (2018) - [j61]Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So:
Online Nonlinear AUC Maximization for Imbalanced Data Sets. IEEE Trans. Neural Networks Learn. Syst. 29(4): 882-895 (2018) - [c206]Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu:
Neural Relational Topic Models for Scientific Article Analysis. CIKM 2018: 27-36 - [c205]Yuxin Su, Michael R. Lyu, Irwin King:
Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization. CIKM 2018: 1463-1472 - [c204]Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King:
Topic Memory Networks for Short Text Classification. EMNLP 2018: 3120-3131 - [c203]Hou Pong Chan, Irwin King:
Thread Popularity Prediction and Tracking with a Permutation-invariant Model. EMNLP 2018: 3392-3401 - [c202]Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu:
Personalized Sequential Check-in Prediction: Beyond Geographical and Temporal Contexts. ICME 2018: 1-6 - [c201]Cuiyun Gao, Jichuan Zeng, Michael R. Lyu, Irwin King:
Online app review analysis for identifying emerging issues. ICSE 2018: 48-58 - [c200]Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang:
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization. IJCAI 2018: 3040-3046 - [c199]Jian Li, Yue Wang, Michael R. Lyu, Irwin King:
Code Completion with Neural Attention and Pointer Networks. IJCAI 2018: 4159-4165 - [c198]Cuiyun Gao, Jichuan Zeng, Federica Sarro, Michael R. Lyu, Irwin King:
Exploring the effects of ad schemes on the performance cost of mobile phones. A-Mobile@ASE 2018: 13-18 - [c197]Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu:
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. NeurIPS 2018: 8430-8439 - [c196]Cuiyun Gao, Jichuan Zeng, David Lo, Chin-Yew Lin, Michael R. Lyu, Irwin King:
INFAR: insight extraction from app reviews. ESEC/SIGSOFT FSE 2018: 904-907 - [c195]Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung:
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. UAI 2018: 339-349 - [c194]Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King:
Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. UAI 2018: 937-946 - [r2]Hao Ma, Irwin King, Michael R. Lyu:
Social Recommendation in Dynamic Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i16]Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung:
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. CoRR abs/1803.07294 (2018) - [i15]Hui Xu, Yuxin Su, Zirui Zhao, Yangfan Zhou, Michael R. Lyu, Irwin King:
DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation. CoRR abs/1806.10313 (2018) - [i14]Yifan Gao, Jianan Wang, Lidong Bing, Irwin King, Michael R. Lyu:
Difficulty Controllable Question Generation for Reading Comprehension. CoRR abs/1807.03586 (2018) - [i13]Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu:
Title-Guided Encoding for Keyphrase Generation. CoRR abs/1808.08575 (2018) - [i12]Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. CoRR abs/1809.02768 (2018) - [i11]Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King:
Topic Memory Networks for Short Text Classification. CoRR abs/1809.03664 (2018) - [i10]Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu:
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. CoRR abs/1810.10895 (2018) - 2017
- [j60]Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou:
Introduction: special issue of selected papers from ACML 2015. Mach. Learn. 106(4): 459-461 (2017) - [c193]Xiaotian Yu, Michael R. Lyu, Irwin King:
CBRAP: Contextual Bandits with RAndom Projection. AAAI 2017: 2859-2866 - [c192]Xingyu Niu, Hongyi Zhang, Michael R. Lyu, Irwin King:
From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach. ADMA 2017: 180-194 - [c191]Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang:
Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network. CIKM 2017: 97-106 - [c190]Sheng Zhang, Shenglin Zhao, Mingxuan Yuan, Jia Zeng, Jianguo Yao, Michael R. Lyu, Irwin King:
Traffic Prediction Based Power Saving in Cellular Networks: A Machine Learning Method. SIGSPATIAL/GIS 2017: 29:1-29:10 - [c189]Xiaotian Yu, Irwin King, Michael R. Lyu:
Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects. ICDM 2017: 1147-1152 - [c188]Xixian Chen, Michael R. Lyu, Irwin King:
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data. ICML 2017: 767-776 - [c187]Shenglin Zhao, Irwin King, Michael R. Lyu:
Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation. ICONIP (5) 2017: 368-377 - [c186]Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and efficient parallelization for probabilistic temporal tensor factorization. IJCNN 2017: 1-8 - [c185]Tong Zhao, Julian J. McAuley, Mengya Li, Irwin King:
Improving recommendation accuracy using networks of substitutable and complementary products. IJCNN 2017: 3649-3655 - [c184]Tong Zhao, Mandy Hu, Razieh Rahimi, Irwin King:
It's about time! Modeling customer behaviors as the secretary problem in daily deal websites. IJCNN 2017: 3670-3679 - [c183]Yuxin Su, Irwin King, Michael R. Lyu:
Learning to Rank Using Localized Geometric Mean Metrics. SIGIR 2017: 45-54 - [c182]Shenglin Zhao, Irwin King, Michael R. Lyu, Jia Zeng, Mingxuan Yuan:
Mining Business Opportunities from Location-based Social Networks. SIGIR 2017: 1037-1040 - [c181]Xixian Chen, Irwin King, Michael R. Lyu:
FROSH: FasteR Online Sketching Hashing. UAI 2017 - [c180]Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu:
Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation. WWW (Companion Volume) 2017: 153-162 - [c179]Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong:
Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. WWW (Companion Volume) 2017: 303-310 - [c178]Hou Pong Chan, Irwin King:
Leveraging Social Connections to Improve Peer Assessment in MOOCs. WWW (Companion Volume) 2017: 341-349 - [c177]Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung:
Dynamic Key-Value Memory Networks for Knowledge Tracing. WWW 2017: 765-774 - [i9]Yuxin Su, Irwin King, Michael R. Lyu:
Learning to Rank Using Localized Geometric Mean Metrics. CoRR abs/1705.07563 (2017) - [i8]Joachim de Curtò, Irene C. Zarza, Fernando De la Torre, Irwin King, Michael R. Lyu:
High-Resolution Deep Convolutional Generative Adversarial Networks. CoRR abs/1711.06491 (2017) - [i7]Pengpeng Liu, Xiaojuan Qi, Pinjia He, Yikang Li, Michael R. Lyu, Irwin King:
Semantically Consistent Image Completion with Fine-grained Details. CoRR abs/1711.09345 (2017) - [i6]Jian Li, Yue Wang, Irwin King, Michael R. Lyu:
Code Completion with Neural Attention and Pointer Networks. CoRR abs/1711.09573 (2017) - 2016
- [j59]Razieh Rahimi, Azadeh Shakery, Irwin King:
Extracting translations from comparable corpora for Cross-Language Information Retrieval using the language modeling framework. Inf. Process. Manag. 52(2): 299-318 (2016) - [j58]Kuan-Ta Chen, Omar Alonso, Martha A. Larson, Irwin King:
Introduction to the Special Issue on Crowd in Intelligent Systems. ACM Trans. Intell. Syst. Technol. 7(4): 44:1-44:2 (2016) - [j57]Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu:
A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks. ACM Trans. Intell. Syst. Technol. 8(1): 10:1-10:21 (2016) - [c176]Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King:
STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. AAAI 2016: 315-322 - [c175]Tong Zhao, Irwin King:
Constructing Reliable Gradient Exploration for Online Learning to Rank. CIKM 2016: 1643-1652 - [c174]Tong Zhao, Irwin King:
Locality-Sensitive Linear Bandit Model for Online Social Recommendation. ICONIP (1) 2016: 80-90 - [c173]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
An Online-Updating Approach on Task Recommendation in Crowdsourcing Systems. ICONIP (1) 2016: 91-101 - [c172]Jiani Zhang, Irwin King:
Topological Order Discovery via Deep Knowledge Tracing. ICONIP (4) 2016: 112-119 - [c171]Shenglin Zhao, Michael R. Lyu, Irwin King:
Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation. ICONIP (3) 2016: 450-458 - [c170]Hongyi Zhang, Tong Zhao, Irwin King, Michael R. Lyu:
Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection. IJCAI 2016: 3938-3944 - [c169]Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu:
Distributed Information-Theoretic Metric Learning in Apache Spark. IJCNN 2016: 3306-3313 - [c168]Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu:
Online non-negative dictionary learning via moment information for sparse Poisson coding. IJCNN 2016: 5094-5101 - [c167]Hou Pong Chan, Tong Zhao, Irwin King:
Trust-aware Peer Assessment using Multi-armed Bandit Algorithms. WWW (Companion Volume) 2016: 899-903 - [i5]Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu:
GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation. CoRR abs/1606.05859 (2016) - [i4]Shenglin Zhao, Irwin King, Michael R. Lyu:
A Survey of Point-of-interest Recommendation in Location-based Social Networks. CoRR abs/1607.00647 (2016) - [i3]Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization. CoRR abs/1611.03578 (2016) - [i2]Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung:
Dynamic Key-Value Memory Network for Knowledge Tracing. CoRR abs/1611.08108 (2016) - 2015
- [j56]Razieh Rahimi, Azadeh Shakery, Irwin King:
Multilingual information retrieval in the language modeling framework. Inf. Retr. J. 18(3): 246-281 (2015) - [j55]Tom Chao Zhou, Michael Rung-Tsong Lyu, Irwin King, Jie Lou:
Learning to suggest questions in social media. Knowl. Inf. Syst. 43(2): 389-416 (2015) - [j54]Baichuan Li, Rong-Hua Li, Irwin King, Michael R. Lyu, Jeffrey Xu Yu:
A topic-biased user reputation model in rating systems. Knowl. Inf. Syst. 44(3): 581-607 (2015) - [j53]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Maximum margin semi-supervised learning with irrelevant data. Neural Networks 70: 90-102 (2015) - [j52]Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King:
Budget constrained non-monotonic feature selection. Neural Networks 71: 214-224 (2015) - [j51]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
TaskRec: A Task Recommendation Framework in Crowdsourcing Systems. Neural Process. Lett. 41(2): 223-238 (2015) - [j50]Haiqin Yang, Guang Ling, Yuxin Su, Michael R. Lyu, Irwin King:
Boosting Response Aware Model-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 27(8): 2064-2077 (2015) - [c166]Hongyi Zhang, Irwin King, Michael R. Lyu:
Incorporating Implicit Link Preference Into Overlapping Community Detection. AAAI 2015: 396-402 - [c165]Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So:
Kernelized Online Imbalanced Learning with Fixed Budgets. AAAI 2015: 2666-2672 - [c164]Tong Zhao, Julian J. McAuley, Irwin King:
Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation. CIKM 2015: 821-830 - [c163]Tong Zhao, H. Vicky Zhao, Irwin King:
Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks. CIKM 2015: 851-860 - [c162]Panagiotis Andriotis, Theo Tryfonas, George C. Oikonomou, Irwin King:
A Framework for Describing Multimedia Circulation in a Smartphone Ecosystem. IFIP Int. Conf. Digital Forensics 2015: 251-267 - [c161]Hongyi Zhang, Michael R. Lyu, Irwin King:
Exploiting k-Degree Locality to Improve Overlapping Community Detection. IJCAI 2015: 2394-2400 - [c160]Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu:
Training-Efficient Feature Map for Shift-Invariant Kernels. IJCAI 2015: 3395-3401 - [c159]Yuanyuan Man, Mantian Mandy Hu, Irwin King:
Group buying in social coupon: Myths or facts. IJCNN 2015: 1-8 - [c158]Shouyuan Chen, Yang Liu, Michael R. Lyu, Irwin King, Shengyu Zhang:
Fast Relative-Error Approximation Algorithm for Ridge Regression. UAI 2015: 201-210 - [c157]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. WSDM 2015: 425-426 - [e19]Guandong Xu, Yves Demazeau, Shu-Heng Chen, Junjie Wu, Michael Gavin, Irwin King, Jie Cao, Zhiang Wu, Zhan Bu:
2015 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2015, Nanjing, China, October 30 - December 1, 2015. IEEE 2015, ISBN 978-1-4673-8783-5 [contents] - 2014
- [j49]Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi:
Graphical lasso quadratic discriminant function and its application to character recognition. Neurocomputing 129: 33-40 (2014) - [c156]Tong Zhao, Julian J. McAuley, Irwin King:
Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering. CIKM 2014: 261-270 - [c155]Razieh Rahimi, Azadeh Shakery, Irwin King:
Axiomatic Analysis of Cross-Language Information Retrieval. CIKM 2014: 1875-1878 - [c154]Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang:
Welcome from DSAA 2014 chairs. DSAA 2014: 9-10 - [c153]Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu:
Non-monotonic Feature Selection for Regression. ICONIP (2) 2014: 44-51 - [c152]Yuanyuan Man, Shuai Wang, Tian-Yu Zhang, T. J. Wong, Irwin King:
Corporate Leaders Analytics and Network System (CLANS): Constructing and Mining Social Networks among Corporations and Business Elites in China. ICONIP (1) 2014: 610-618 - [c151]Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King:
Exploiting homophily-based implicit social network to improve recommendation performance. IJCNN 2014: 2539-2547 - [c150]Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu, Wei Chen:
Combinatorial Pure Exploration of Multi-Armed Bandits. NIPS 2014: 379-387 - [c149]Guang Ling, Michael R. Lyu, Irwin King:
Ratings meet reviews, a combined approach to recommend. RecSys 2014: 105-112 - [c148]Chen Cheng, Fen Xia, Tong Zhang, Irwin King, Michael R. Lyu:
Gradient boosting factorization machines. RecSys 2014: 265-272 - [c147]Tak Pang Lau, Shuai Wang, Yuanyuan Man, Chi Fai Yuen, Irwin King:
Language technologies for enhancement of teaching and learning in writing. WWW (Companion Volume) 2014: 1097-1102 - [e18]Zhigang Zeng, Yangmin Li, Irwin King:
Advances in Neural Networks - ISNN 2014 - 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28- December 1, 2014. Proceedings. Lecture Notes in Computer Science 8866, Springer 2014, ISBN 978-3-319-12435-3 [contents] - [r1]Hao Ma, Irwin King, Michael R. Lyu:
Social Recommendation in Dynamic Networks. Encyclopedia of Social Network Analysis and Mining 2014: 1923-1929 - 2013
- [j48]Jie Tang, Ling Chen, Irwin King, Jianyong Wang:
Introduction to Special section on Large-scale Data Mining. Data Knowl. Eng. 87: 355-356 (2013) - [j47]Irwin King, Wolfgang Nejdl:
Introduction to the special section on twitter and microblogging services. ACM Trans. Intell. Syst. Technol. 4(1): 1:1-1:2 (2013) - [j46]Haiqin Yang, Michael R. Lyu, Irwin King:
Efficient online learning for multitask feature selection. ACM Trans. Knowl. Discov. Data 7(2): 6:1-6:27 (2013) - [j45]Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King:
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization. IEEE Trans. Serv. Comput. 6(3): 289-299 (2013) - [c146]Chenxia Wu, Haiqin Yang, Jianke Zhu, Jiemi Zhang, Irwin King, Michael R. Lyu:
Sparse Poisson coding for high dimensional document clustering. IEEE BigData 2013: 512-517 - [c145]Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King, Michael R. Lyu:
A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers. EMNLP 2013: 1521-1532 - [c144]Shenglin Zhao, Irwin King, Michael R. Lyu:
Capturing Geographical Influence in POI Recommendations. ICONIP (2) 2013: 530-537 - [c143]Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King:
Where You Like to Go Next: Successive Point-of-Interest Recommendation. IJCAI 2013: 2605-2611 - [c142]Guang Ling, Irwin King, Michael R. Lyu:
A Unified Framework for Reputation Estimation in Online Rating Systems. IJCAI 2013: 2670-2676 - [c141]Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, Jiaya Jia:
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering. IJCAI 2013: 2705-2711 - [c140]Shouyuan Chen, Michael R. Lyu, Irwin King, Zenglin Xu:
Exact and Stable Recovery of Pairwise Interaction Tensors. NIPS 2013: 1691-1699 - [e17]Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-Peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang:
Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8178, Springer 2013, ISBN 978-3-319-04047-9 [contents] - [e16]Qiang Yang, Irwin King, Qing Li, Pearl Pu, George Karypis:
Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013. ACM 2013, ISBN 978-1-4503-2409-0 [contents] - [e15]Leslie Carr, Alberto H. F. Laender, Bernadette Farias Lóscio, Irwin King, Marcus Fontoura, Denny Vrandecic, Lora Aroyo, José Palazzo M. de Oliveira, Fernanda Lima, Erik Wilde:
22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume. International World Wide Web Conferences Steering Committee / ACM 2013, ISBN 978-1-4503-2038-2 [contents] - 2012
- [j44]Stefan M. Rüger, Vijay V. Raghavan, Irwin King, Jimmy Xiangji Huang:
Special issue on advances in web intelligence. Neurocomputing 76(1): 48-49 (2012) - [j43]Zhenjiang Lin, Michael R. Lyu, Irwin King:
MatchSim: a novel similarity measure based on maximum neighborhood matching. Knowl. Inf. Syst. 32(1): 141-166 (2012) - [j42]Hao Ma, Irwin King, Michael R. Lyu:
Mining Web Graphs for Recommendations. IEEE Trans. Knowl. Data Eng. 24(6): 1051-1064 (2012) - [j41]Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, Irwin King:
Component Ranking for Fault-Tolerant Cloud Applications. IEEE Trans. Serv. Comput. 5(4): 540-550 (2012) - [j40]Hongbo Deng, Irwin King, Michael R. Lyu:
Enhanced Models for Expertise Retrieval Using Community-Aware Strategies. IEEE Trans. Syst. Man Cybern. Part B 42(1): 93-106 (2012) - [c139]Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu:
Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. AAAI 2012: 17-23 - [c138]Tom Chao Zhou, Xiance Si, Edward Y. Chang, Irwin King, Michael R. Lyu:
A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering. AAAI 2012: 164-170 - [c137]Xin Xin, Irwin King, Ritesh Agrawal, Michael R. Lyu, Heyan Huang:
Do ads compete or collaborate?: designing click models with full relationship incorporated. CIKM 2012: 1839-1843 - [c136]Priyanka Garg, Irwin King, Michael R. Lyu:
Information propagation in social rating networks. CIKM 2012: 2279-2282 - [c135]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
TaskRec: Probabilistic Matrix Factorization in Task Recommendation in Crowdsourcing Systems. ICONIP (2) 2012: 516-525 - [c134]Priyanka Garg, Irwin King, Michael R. Lyu:
Are You a Social Conformer? ICONIP (3) 2012: 694-701 - [c133]Baichuan Li, Michael R. Lyu, Irwin King:
Communities of Yahoo! Answers and Baidu Zhidao: Complementing or competing? IJCNN 2012: 1-8 - [c132]Guang Ling, Haiqin Yang, Irwin King, Michael R. Lyu:
Online learning for collaborative filtering. IJCNN 2012: 1-8 - [c131]Hongbo Deng, Jiawei Han, Michael R. Lyu, Irwin King:
Modeling and exploiting heterogeneous bibliographic networks for expertise ranking. JCDL 2012: 71-80 - [c130]Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King:
Response Aware Model-Based Collaborative Filtering. UAI 2012: 501-510 - [c129]Baichuan Li, Tan Jin, Michael R. Lyu, Irwin King, Barley Mak:
Analyzing and predicting question quality in community question answering services. WWW (Companion Volume) 2012: 775-782 - [c128]Tom Chao Zhou, Michael R. Lyu, Irwin King:
A classification-based approach to question routing in community question answering. WWW (Companion Volume) 2012: 783-790 - [i1]Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King:
Response Aware Model-Based Collaborative Filtering. CoRR abs/1210.4869 (2012) - 2011
- [j39]Stefan M. Rüger, Vijay V. Raghavan, Irwin King, Jimmy Xiangji Huang:
Special Issue Review: Neurocomputing - Special Issue on Advances in Web Intelligence. IEEE Intell. Informatics Bull. 12(1): 35-36 (2011) - [j38]Irwin King, Hang Li:
The fourth ACM international conference on web search and data mining (WSDM 2011). SIGIR Forum 45(2): 38-40 (2011) - [j37]Irwin King, Hang Li:
A report on the fourth ACM international conference on web search and data mining (WSDM 2011). SIGKDD Explor. 13(1): 52-53 (2011) - [j36]Irwin King, Hang Li:
The Fourth ACM International Conference on Web Search and Data Mining (WSDM 2011). SIGWEB Newsl. 2011(Summer): 1:1-1:4 (2011) - [j35]Hao Ma, Irwin King, Michael R. Lyu:
Learning to recommend with explicit and implicit social relations. ACM Trans. Intell. Syst. Technol. 2(3): 29:1-29:19 (2011) - [j34]Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu:
Efficient Sparse Generalized Multiple Kernel Learning. IEEE Trans. Neural Networks 22(3): 433-446 (2011) - [j33]Hao Ma, Tom Chao Zhou, Michael R. Lyu, Irwin King:
Improving Recommender Systems by Incorporating Social Contextual Information. ACM Trans. Inf. Syst. 29(2): 9:1-9:23 (2011) - [j32]Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King:
QoS-Aware Web Service Recommendation by Collaborative Filtering. IEEE Trans. Serv. Comput. 4(2): 140-152 (2011) - [c127]Tom Chao Zhou, Chin-Yew Lin, Irwin King, Michael R. Lyu, Young-In Song, Yunbo Cao:
Learning to Suggest Questions in Online Forums. AAAI 2011: 1298-1303 - [c126]Xiaofeng Yu, Irwin King, Michael R. Lyu:
Towards a top-down and bottom-up bidirectional approach to joint information extraction. CIKM 2011: 847-856 - [c125]Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu:
Can irrelevant data help semi-supervised learning, why and how? CIKM 2011: 937-946 - [c124]Baichuan Li, Irwin King, Michael R. Lyu:
Question routing in community question answering: putting category in its place. CIKM 2011: 2041-2044 - [c123]Baichuan Li, Xiance Si, Michael R. Lyu, Irwin King, Edward Y. Chang:
Question identification on twitter. CIKM 2011: 2477-2480 - [c122]Ritesh Agrawal, Xiaofeng Yu, Irwin King, Rémi Zajac:
Enrichment and Reductionism: Two Approaches for Web Query Classification. ICONIP (3) 2011: 148-157 - [c121]Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi:
Graphical Lasso Quadratic Discriminant Function for Character Recognition. ICONIP (3) 2011: 747-755 - [c120]Wei Wang, Baichuan Li, Irwin King:
Improving question retrieval in community question answering with label ranking. IJCNN 2011: 349-356 - [c119]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
Task Matching in Crowdsourcing. iThings/CPSCom 2011: 409-412 - [c118]Wujie Zheng, Hao Ma, Michael R. Lyu, Tao Xie, Irwin King:
Mining test oracles of web search engines. ASE 2011: 408-411 - [c117]Hao Ma, Chao Liu, Irwin King, Michael R. Lyu:
Probabilistic factor models for web site recommendation. SIGIR 2011: 265-274 - [c116]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
A Survey of Crowdsourcing Systems. SocialCom/PASSAT 2011: 766-773 - [c115]Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, Irwin King:
Recommender systems with social regularization. WSDM 2011: 287-296 - [c114]Xin Xin, Michael R. Lyu, Irwin King:
CMAP: effective fusion of quality and relevance for multi-criteria recommendation. WSDM 2011: 455-464 - [c113]Mingzhen Mo, Irwin King, Kwong-Sak Leung:
Empirical Comparisons of Attack and Protection Algorithms for Online Social Networks. ANT/MobiWIS 2011: 705-712 - [e14]Bebo White, Irwin King, Philip Tsang:
Social Media Tools and Platforms in Learning Environments. Springer 2011, ISBN 978-3-642-20391-6 [contents] - [e13]Jie Tang, Irwin King, Ling Chen, Jianyong Wang:
Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I. Lecture Notes in Computer Science 7120, Springer 2011, ISBN 978-3-642-25852-7 [contents] - [e12]Jie Tang, Irwin King, Ling Chen, Jianyong Wang:
Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part II. Lecture Notes in Computer Science 7121, Springer 2011, ISBN 978-3-642-25855-8 [contents] - [e11]Irwin King, Wolfgang Nejdl, Hang Li:
Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011. ACM 2011, ISBN 978-1-4503-0493-1 [contents] - 2010
- [j31]Wei Wang, Irwin King:
Label Ranking with Semi-Supervised Learning. Aust. J. Intell. Inf. Process. Syst. 12(1) (2010) - [j30]Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King:
Bridging the Semantic Gap Between Image Contents and Tags. IEEE Trans. Multim. 12(5): 462-473 (2010) - [j29]Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin:
Discriminative semi-supervised feature selection via manifold regularization. IEEE Trans. Neural Networks 21(7): 1033-1047 (2010) - [c112]Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King:
Smooth Optimization for Effective Multiple Kernel Learning. AAAI 2010: 637-642 - [c111]Hao Ma, Michael R. Lyu, Irwin King:
Diversifying Query Suggestion Results. AAAI 2010: 1399-1404 - [c110]Tom Chao Zhou, Hao Ma, Michael R. Lyu, Irwin King:
UserRec: A User Recommendation Framework in Social Tagging Systems. AAAI 2010: 1486-1491 - [c109]Baichuan Li, Irwin King:
Routing questions to appropriate answerers in community question answering services. CIKM 2010: 1585-1588 - [c108]Haiqin Yang, Irwin King, Michael R. Lyu:
Online learning for multi-task feature selection. CIKM 2010: 1693-1696 - [c107]Irwin King:
Introduction to Social Computing. DASFAA (2) 2010: 482-484 - [c106]Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu:
Simple and Efficient Multiple Kernel Learning by Group Lasso. ICML 2010: 1175-1182 - [c105]Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu:
Online Learning for Group Lasso. ICML 2010: 1191-1198 - [c104]Dingyan Wang, Irwin King:
An Enhanced Semi-supervised Recommendation Model Based on Green's Function. ICONIP (1) 2010: 397-404 - [c103]Mingzhen Mo, Irwin King:
Exploit of Online Social Networks with Community-Based Graph Semi-Supervised Learning. ICONIP (1) 2010: 669-678 - [c102]Mingzhen Mo, Dingyan Wang, Baichuan Li, Dan Hong, Irwin King:
Exploit of online social networks with Semi-Supervised Learning. IJCNN 2010: 1-8 - [c101]Haiqin Yang, Irwin King, Michael R. Lyu:
Multi-task Learning for one-class classification. IJCNN 2010: 1-8 - [c100]Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, Irwin King:
FTCloud: A Component Ranking Framework for Fault-Tolerant Cloud Applications. ISSRE 2010: 398-407 - [c99]Zhaojun Yang, Baichuan Li, Yi Zhu, Irwin King, Gina-Anne Levow, Helen M. Meng:
Collection of user judgments on spoken dialog system with crowdsourcing. SLT 2010: 277-282 - [c98]Baichuan Li, Zhaojun Yang, Yi Zhu, Helen M. Meng, Gina-Anne Levow, Irwin King:
Predicting user evaluations of spoken dialog systems using semi-supervised learning. SLT 2010: 283-288 - [c97]Zhaojun Yang, Baichuan Li, Yi Zhu, Irwin King, Gina-Anne Levow, Helen M. Meng:
Collaborative filtering model for user satisfaction prediction in Spoken Dialog System evaluation. SLT 2010: 472-477 - [c96]Yi Zhu, Zhaojun Yang, Helen M. Meng, Baichuan Li, Gina-Anne Levow, Irwin King:
Using finite state machines for evaluating spoken dialog systems. SLT 2010: 478-483 - [c95]Irwin King, Michael R. Lyu, Hao Ma:
Introduction to social recommendation. WWW 2010: 1355-1356 - [e10]Peidong Zhu, Lizhe Wang, Feng Xia, Huajun Chen, Ian McLoughlin, Shiao-Li Tsao, Mitsuhisa Sato, Sun-Ki Chai, Irwin King:
2010 IEEE/ACM Int'l Conference on Green Computing and Communications, GreenCom 2010, & Int'l Conference on Cyber, Physical and Social Computing, CPSCom 2010, Hangzhou, China, December 18-20, 2010. IEEE Computer Society 2010, ISBN 978-1-4244-9779-9 [contents] - [e9]Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Roelof van Zwol, Rong Jin, Irwin King, Yiannis Kompatsiaris, Dong Xu:
Proceedings of second ACM SIGMM workshop on Social media, WSM@MM 2010, Firenze, Italy, October 25, 2010. ACM 2010, ISBN 978-1-4503-0173-2 [contents] - [e8]Jimmy Xiangji Huang, Irwin King, Vijay V. Raghavan, Stefan M. Rüger:
2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010, Toronto, Canada, August 31 - September 3, 2010, Main Conference Proceedings. IEEE Computer Society 2010, ISBN 978-0-7695-4191-4 [contents]
2000 – 2009
- 2009
- [j28]Timon C. Du, Feng Li, Irwin King:
Managing knowledge on the Web - Extracting ontology from HTML Web. Decis. Support Syst. 47(4): 319-331 (2009) - [j27]Xiang Peng, Irwin King:
A biased minimax probability machine-based scheme for relevance feedback in image retrieval. Neurocomputing 72(7-9): 2046-2051 (2009) - [j26]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Localized support vector regression for time series prediction. Neurocomputing 72(10-12): 2659-2669 (2009) - [j25]Irwin King, Christopher C. Yang:
Introduction. J. Intell. Inf. Syst. 33(1): 1 (2009) - [j24]Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu:
Arbitrary Norm Support Vector Machines. Neural Comput. 21(2): 560-582 (2009) - [j23]Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu:
A novel kernel-based maximum a posteriori classification method. Neural Networks 22(7): 977-987 (2009) - [j22]Haixuan Yang, Michael R. Lyu, Irwin King:
A Volume-Based Heat-Diffusion Classifier. IEEE Trans. Syst. Man Cybern. Part B 39(2): 417-430 (2009) - [c94]Tom Chao Zhou, Irwin King:
Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems. CIKM-SWSM 2009: 25-32 - [c93]Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu:
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering. CIKM 2009: 767-776 - [c92]Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu:
A social recommendation framework based on multi-scale continuous conditional random fields. CIKM 2009: 1247-1256 - [c91]Zhenjiang Lin, Michael R. Lyu, Irwin King:
MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching. CIKM 2009: 1613-1616 - [c90]Hongbo Deng, Irwin King, Michael R. Lyu:
Enhancing expertise retrieval using community-aware strategies. CIKM 2009: 1733-1736 - [c89]Tom Chao Zhou, Hao Ma, Irwin King, Michael R. Lyu:
TagRec: Leveraging Tagging Wisdom for Recommendation. CSE (4) 2009: 194-199 - [c88]Man-Ching Yuen, Ling-Jyh Chen, Irwin King:
A Survey of Human Computation Systems. CSE (4) 2009: 723-728 - [c87]Kam Tong Chan, Irwin King, Man-Ching Yuen:
Mathematical Modeling of Social Games. CSE (4) 2009: 1205-1210 - [c86]Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King:
Non-monotonic feature selection. ICML 2009: 1145-1152 - [c85]Haiqin Yang, Irwin King:
Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification. ICONIP (1) 2009: 866-874 - [c84]Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King:
WSRec: A Collaborative Filtering Based Web Service Recommender System. ICWS 2009: 437-444 - [c83]Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King:
Discriminative Semi-Supervised Feature Selection via Manifold Regularization. IJCAI 2009: 1303-1308 - [c82]Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell:
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277 - [c81]Irwin King, Jiexing Li, Kam Tong Chan:
A brief survey of computational approaches in Social Computing. IJCNN 2009: 1625-1632 - [c80]Hongbo Deng, Michael R. Lyu, Irwin King:
A generalized Co-HITS algorithm and its application to bipartite graphs. KDD 2009: 239-248 - [c79]Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Rong Jin, Irwin King, Dong Xu:
First ACM SIGMM international workshop onsocial media (WSM'09). ACM Multimedia 2009: 1161-1162 - [c78]Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu, Zhirong Yang:
Adaptive Regularization for Transductive Support Vector Machine. NIPS 2009: 2125-2133 - [c77]Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja:
Heavy-Tailed Symmetric Stochastic Neighbor Embedding. NIPS 2009: 2169-2177 - [c76]Kam Tong Chan, Irwin King:
Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis. PAKDD 2009: 741-748 - [c75]Hao Ma, Michael R. Lyu, Irwin King:
Learning to recommend with trust and distrust relationships. RecSys 2009: 189-196 - [c74]Hao Ma, Irwin King, Michael R. Lyu:
Learning to recommend with social trust ensemble. SIGIR 2009: 203-210 - [c73]Hongbo Deng, Irwin King, Michael R. Lyu:
Entropy-biased models for query representation on the click graph. SIGIR 2009: 339-346 - [c72]Hongbo Deng, Michael R. Lyu, Irwin King:
Effective latent space graph-based re-ranking model with global consistency. WSDM 2009: 212-221 - [e7]Irwin King, Juan-Zi Li, Gui-Rong Xue, Jie Tang:
Proceedings of the 2nd ACM Workshop on Social Web Search and Mining, CIKM-SWSM 2009, Hong Kong, China, November 2, 2009. ACM 2009, ISBN 978-1-60558-806-3 [contents] - [e6]Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Rong Jin, Irwin King, Dong Xu:
Proceedings of the first SIGMM workshop on Social media, WSM@MM 2009, Beijing, China, October 23, 2009. ACM 2009, ISBN 978-1-60558-759-2 [contents] - [e5]Irwin King, Ricardo Baeza-Yates:
Weaving Services and People on the World Wide Web, [features some of the cutting-edge research work that were presented at the Workshop Track of the 17th International World Wide Web Conference (WWW 2008) held at Beijing, China, from April 21-25, 2008]. Springer 2009, ISBN 978-3-642-00569-5 [contents] - 2008
- [j21]Irwin King, Yangmin Li:
Editorial. Int. J. Intell. Comput. Cybern. 1(4) (2008) - [j20]Irwin King, Jun Wang:
International Conference on Neural Information Processing (ICONIP 2006). Neurocomputing 71(16-18): 3051 (2008) - [j19]Xiang Peng, Irwin King:
Robust BMPM training based on second-order cone programming and its application in medical diagnosis. Neural Networks 21(2-3): 450-457 (2008) - [j18]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. IEEE Trans. Neural Networks 19(2): 260-272 (2008) - [c71]Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King:
Mining social networks using heat diffusion processes for marketing candidates selection. CIKM 2008: 233-242 - [c70]Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu:
Learning latent semantic relations from clickthrough data for query suggestion. CIKM 2008: 709-718 - [c69]Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King:
SoRec: social recommendation using probabilistic matrix factorization. CIKM 2008: 931-940 - [c68]Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King:
Semi-supervised text categorization by active search. CIKM 2008: 1517-1518 - [c67]Hongbo Deng, Irwin King, Michael R. Lyu:
Formal Models for Expert Finding on DBLP Bibliography Data. ICDM 2008: 163-172 - [c66]Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu:
Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282 - [c65]Kaizhu Huang, Irwin King, Michael R. Lyu:
Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850 - [c64]Haiqin Yang, Irwin King:
Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge. ICONIP (2) 2008: 53-60 - [c63]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019 - [c62]Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu:
An Extended Level Method for Efficient Multiple Kernel Learning. NIPS 2008: 1825-1832 - [c61]Haixuan Yang, Irwin King, Michael R. Lyu:
Learning with Consistency between Inductive Functions and Kernels. NIPS 2008: 1849-1856 - [c60]Ling-Jyh Chen, Bo-Chun Wang, Kuan-Ta Chen, Irwin King, Jimmy Ho-Man Lee:
An Analytical Study of Puzzle Selection Strategies for the ESP Game. Web Intelligence 2008: 180-183 - [c59]Chien-Wei Lin, Kuan-Ta Chen, Ling-Jyh Chen, Irwin King, Jimmy Ho-Man Lee:
An Analytical Approach to Optimizing the Utility of ESP Games. Web Intelligence 2008: 184-187 - [c58]Wei Wei, Kam Tong Chan, Irwin King, Jimmy Ho-Man Lee:
RATE: A Review of Reviewers in a Manuscript Review Process. Web Intelligence 2008: 204-207 - 2007
- [j17]Zenglin Xu, Irwin King, Michael R. Lyu:
Feature Selection Based on Minimum Error minimax Probability Machine. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1279-1292 (2007) - [j16]Haixuan Yang, Irwin King, Michael R. Lyu:
The generalized dependency degree between attributes. J. Assoc. Inf. Sci. Technol. 58(14): 2280-2294 (2007) - [c57]Daniel Chun-Ming Leung, Pak-Shing Au, Irwin King, Edward Hon-Hei Yau:
Remote augmented reality for multiple players over network. Advances in Computer Entertainment Technology 2007: 220-223 - [c56]Wei Wei, Irwin King, J. H. M. Lee:
Bibliographic Attributes Extraction with Layer-upon-Layer Tagging. ICDAR 2007: 804-808 - [c55]Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu:
Kernel Maximum a Posteriori Classification with Error Bound Analysis. ICONIP (1) 2007: 841-850 - [c54]Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King:
Maximum Margin based Semi-supervised Spectral Kernel Learning. IJCNN 2007: 418-423 - [c53]Xiang Peng, Irwin King:
Large Scale Imbalanced Classification with Biased Minimax Probability Machine. IJCNN 2007: 1685-1690 - [c52]Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin King:
Two-stage Multi-class AdaBoost for Facial Expression Recognition. IJCNN 2007: 3005-3010 - [c51]Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu:
Efficient Convex Relaxation for Transductive Support Vector Machine. NIPS 2007: 1641-1648 - [c50]Hao Ma, Irwin King, Michael R. Lyu:
Effective missing data prediction for collaborative filtering. SIGIR 2007: 39-46 - [c49]Haixuan Yang, Irwin King, Michael R. Lyu:
DiffusionRank: a possible penicillin for web spamming. SIGIR 2007: 431-438 - [c48]Zhenjiang Lin, Michael R. Lyu, Irwin King:
Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure. Web Intelligence 2007: 263-266 - [c47]Xiang Peng, Irwin King:
Efficient training on biased minimax probability machine for imbalanced text classification. WWW 2007: 1153-1154 - [c46]Zenglin Xu, Irwin King, Michael R. Lyu:
Web page classification with heterogeneous data fusion. WWW 2007: 1171-1172 - [c45]Wei Wei, Jimmy Ho-Man Lee, Irwin King:
Measuring credibility of users in an e-learning environment. WWW 2007: 1279-1280 - 2006
- [j15]Kwong-Sak Leung, Irwin King, Y. B. Wong:
A probabilistic cooperative-competitive hierarchical model for global optimization. Appl. Math. Comput. 175(2): 1092-1124 (2006) - [j14]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. IEEE Trans. Biomed. Eng. 53(5): 821-831 (2006) - [j13]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Imbalanced learning with a biased minimax probability machine. IEEE Trans. Syst. Man Cybern. Part B 36(4): 913-923 (2006) - [c44]Xiang Peng, Irwin King:
Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval Tasks. ICONIP (1) 2006: 342-351 - [c43]Xiang Peng, Irwin King:
Biased Minimax Probability Machine Active Learning for Relevance Feedback in Content-Based Image Retrieval. IDEAL 2006: 953-960 - [c42]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627 - [c41]Haixuan Yang, Irwin King, Michael R. Lyu:
Predictive Random Graph Ranking on the Web. IJCNN 2006: 1825-1832 - [c40]Zhenjiang Lin, Irwin King, Michael R. Lyu:
PageSim: A Novel Link-Based Similarity Measure for the World Wide Web. Web Intelligence 2006: 687-693 - [c39]Lo Ka Kan, Xiang Peng, Irwin King:
A user profile-based approach for personal information access: shaping your information portfolio. WWW 2006: 921-922 - [c38]Tak Pang Lau, Irwin King:
Bilingual web page and site readability assessment. WWW 2006: 993-994 - [c37]Zhenjiang Lin, Michael R. Lyu, Irwin King:
PageSim: a novel link-based measure of web page aimilarity. WWW 2006: 1019-1020 - [e4]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I. Lecture Notes in Computer Science 4232, Springer 2006, ISBN 3-540-46479-4 [contents] - [e3]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II. Lecture Notes in Computer Science 4233, Springer 2006, ISBN 3-540-46481-6 [contents] - [e2]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III. Lecture Notes in Computer Science 4234, Springer 2006, ISBN 3-540-46484-0 [contents] - 2005
- [c36]Tak Pang Lau, Irwin King:
Two-Phase LMR-RC Tagging for Chinese Word Segmentation. SIGHAN@IJCNLP 2005 2005 - [c35]Shi Lu, Michael R. Lyu, Irwin King:
Semantic Video Summarization Using Mutual Reinforcement Principle and Shot Arrangement Patterns. MMM 2005: 60-67 - [c34]Wan Yeung Wong, Tak Pang Lau, Irwin King:
Information retrieval in P2P networks using genetic algorithm. WWW (Special interest tracks and posters) 2005: 922-923 - [c33]Haixuan Yang, Irwin King, Michael R. Lyu:
Predictive ranking: a novel page ranking approach by estimating the web structure. WWW (Special interest tracks and posters) 2005: 944-945 - 2004
- [j12]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
The Minimum Error Minimax Probability Machine. J. Mach. Learn. Res. 5: 1253-1286 (2004) - [j11]Huilin Xiong, M. N. S. Swamy, M. Omair Ahmad, Irwin King:
Branching competitive learning Network: A novel self-creating model. IEEE Trans. Neural Networks 15(2): 417-429 (2004) - [j10]Irwin King, Cheuk Hang Ng, Ka Cheung Sia:
Distributed content-based visual information retrieval system on peer-to-peer networks. ACM Trans. Inf. Syst. 22(3): 477-501 (2004) - [c32]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. CVPR (2) 2004: 558-563 - [c31]Shi Lu, Irwin King, Michael R. Lyu:
Video summarization by video structure analysis and graph optimization. ICME 2004: 1959-1962 - [c30]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning large margin classifiers locally and globally. ICML 2004 - [c29]Chi-Hang Chan, Irwin King:
Using Biased Support Vector Machine to Improve Retrieval Result in Image Retrieval with Self-organizing Map. ICONIP 2004: 714-719 - [c28]Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu:
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP 2004: 1260-1265 - [c27]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
Biased Minimax Probability Machine for Medical Diagnosis. AI&M 2004 - [c26]Shi Lu, Michael R. Lyu, Irwin King:
Video summarization by spatial-temporal graph optimization. ISCAS (2) 2004: 197-200 - 2003
- [j9]Irwin King, Zhong Jin:
Integrated probability function and its application to content-based image retrieval by relevance feedback. Pattern Recognit. 36(9): 2177-2186 (2003) - [j8]Irwin King, Raúl Rojas, Werner Dubitzky:
Book Reviews. IEEE Trans. Neural Networks 14(4): 968-970 (2003) - [c25]Kim-Fung Jang, Ho-Man Tang, Michael R. Lyu, Irwin King:
A Face Processing System Based on Committee Machine: The Approach and Experimental Results. CAIP 2003: 614-622 - [c24]Kaizhu Huang, Irwin King, Michael R. Lyu:
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. ICANN 2003: 115-122 - [c23]Ho-Man Tang, Michael R. Lyu, Irwin King:
Face recognition committee machine. ICASSP (2) 2003: 837-840 - [c22]Ho-Man Tang, Michael R. Lyu, Irwin King:
Face recognition committee machines: dynamic vs. static structures. ICIAP 2003: 121-126 - [c21]Ho-Man Tang, Michael R. Lyu, Irwin King:
Face recognition committee machine. ICME 2003: 425-428 - [e1]Irwin King, Tamás Máray:
Proceedings of the Twelfth International World Wide Web Conference - Posters, WWW 2003, Budapest, Hungary, May 20-24, 2003. 2003 [contents] - 2002
- [j7]Rezaul Alam Chowdhury, M. Kaykobad, Irwin King:
An efficient decoding technique for Huffman codes. Inf. Process. Lett. 81(6): 305-308 (2002) - [c20]Haiqin Yang, Laiwan Chan, Irwin King:
Support Vector Machine Regression for Volatile Stock Market Prediction. IDEAL 2002: 391-396 - 2001
- [j6]Lei Xu, Irwin King:
A PCA approach for fast retrieval of structural patterns in attributed graphs. IEEE Trans. Syst. Man Cybern. Part B 31(5): 812-817 (2001) - [c19]Chun Hung Cheng, Jian Tang, Ada Wai-Chee Fu, Irwin King:
Hierarchical Classification of Documents with Error Control. PAKDD 2001: 433-443 - 2000
- [j5]Lun Hsing Tung, Irwin King:
A Two-Stage Framework for Polygon Retrieval. Multim. Tools Appl. 11(2): 235-255 (2000) - [c18]Xuequn Li, Irwin King:
Regression Analysis for Rival Penalized Competitive Learning Binary Tree. IJCNN (6) 2000: 290-295 - [c17]Zhong Jin, Irwin King, Xuequn Li:
Content-Based Image Retrieval by Relevance Feedback. VISUAL 2000: 521-529 - [c16]Irwin King, Zhong Jin, David Yuk-Ming Chan:
Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function. VISUAL 2000: 530-539
1990 – 1999
- 1999
- [j4]Donald A. Adjeroh, Moon-Chuen Lee, Irwin King:
A Distance Measure for Video Sequences. Comput. Vis. Image Underst. 75(1-2): 25-45 (1999) - [c15]Irwin King, Tak-Kan Lau:
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval. MLDM 1999: 116-130 - [c14]David Yuk-Ming Chan, Irwin King:
Genetic Algorithm for Weights Assignment in Dissimilarity Function for Trademark Retrieval. VISUAL 1999: 557-565 - 1998
- [j3]Siu-Hang Or, W. S. Luk, Kin-hong Wong, Irwin King:
An efficient iterative pose estimation algorithm. Image Vis. Comput. 16(5): 353-362 (1998) - [c13]Tak-Kan Lau, Irwin King:
Montage: An Image Database for the Fashion, Textile, and Clothing Industry in Hong Kong. ACCV (1) 1998: 410-417 - [c12]Siu-Hang Or, W. S. Luk, Kin-hong Wong, Irwin King:
An Efficient Iterative Pose Estimation Algorithm. ACCV (2) 1998: 559-566 - [c11]Xuequn Li, Irwin King:
Noise Removal Based on Classification of Wavelet Coefficients Using Counterpropagation Neural Networks. ICONIP 1998: 343-346 - [c10]F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu:
Intra-block algorithm for digital watermarking. ICPR 1998: 1589-1591 - [c9]Donald A. Adjeroh, Moon-Chuen Lee, Irwin King:
A Distance Measure for Video Sequence Similarity Matching. IW-MMDBMS 1998: 72-79 - [c8]Donald A. Adjeroh, Irwin King, Moon-Chuen Lee:
Video Sequence Similarity Matching. Multimedia Information Analysis and Retrieval 1998: 80-95 - [c7]F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu:
Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images. Multimedia Information Analysis and Retrieval 1998: 255-264 - [c6]Kwong-Sak Leung, T. J. Wong, Irwin King:
Probabilistic cooperative-competitive hierarchical modeling as a genetic operator in global optimization. SMC 1998: 3959-3964 - [p1]Lun Hsing Tung, Irwin King, Ping Fu Fung, Wing-Sze Lee:
Two-Stage Polygon Representation for Efficient Shape Retrieval in Image Databases. Image Databases and Multi-Media Search 1998: 209-220 - 1997
- [c5]Lun Hsing Tung, Irwin King:
A Two-Stage Framework for Polygon Retrieval Using Minimum Circular Error Bound. ICIAP (1) 1997: 567-574 - 1996
- [c4]Mary Y. Y. Leung, Hung Yen Hui, Irwin King:
Facial expression synthesis by radial basis function network and image warping. ICNN 1996: 1400-1405 - [c3]Horace Wai-kit Chan, Irwin King, John C. S. Lui:
Performance analysis of a new updating rule for TD(λ) learning in feedforward networks for position evaluation in Go game. ICNN 1996: 1716-1720 - [c2]Pina-Fu Fung, Wing-Sze Lee, Irwin King:
Randomized generalized Hough transform for 2-D gray scale object detection. ICPR 1996: 511-515 - 1995
- [j2]Irwin King:
Report on the Computer Strategy-Game Programming Workshop. J. Int. Comput. Games Assoc. 18(2): 113-115 (1995) - [c1]Bailing Zhang, Qin Zhou, Irwin King, Lei Xu:
Least Mean Square Error Reconstruction Learning in Recurrent Network. ICNN 1995: 3009-3014
1980 – 1989
- 1988
- [j1]DeLiang Wang, Irwin King:
Three neural models which process temporal information. Neural Networks 1(Supplement-1): 227 (1988)
Coauthor Index
Michael R. Lyu
aka: Michael Rung-Tsong Lyu
aka: Michael Rung-Tsong Lyu
[c298] [j80] [j78] [j77] [j75] [c278] [c268] [c267] [i91] [i89] [j74] [j68] [c261] [c260] [c258] [c257] [c256] [i73] [i69] [i68] [i67] [i58] [j65] [c253] [c252] [c251] [c250] [c249] [c247] [c246] [c245] [c244] [c243] [c242] [c241] [c240] [c239] [c233] [c232] [c228] [i55] [i54] [i53] [i51] [i50] [i49] [i47] [i46] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i32] [j64] [c226] [c225] [c224] [c222] [c221] [c219] [c218] [c217] [c216] [c215] [c213] [c211] [c210] [c209] [i31] [i30] [i28] [i27] [i26] [i24] [i22] [i21] [i20] [i19] [i18] [i17] [b1] [j63] [j62] [j61] [c206] [c205] [c204] [c202] [c201] [c200] [c199] [c198] [c197] [c196] [c194] [r2] [i15] [i14] [i13] [i12] [i11] [i10] [c193] [c192] [c190] [c189] [c188] [c187] [c186] [c183] [c182] [c181] [c180] [i9] [i8] [i7] [i6] [j57] [c176] [c171] [c170] [c169] [c168] [i5] [i4] [i3] [j55] [j54] [j53] [j52] [j50] [c166] [c165] [c161] [c160] [c158] [c157] [c153] [c151] [c150] [c149] [c148] [r1] [j46] [j45] [c146] [c145] [c144] [c143] [c142] [c140] [j43] [j42] [j41] [j40] [c139] [c138] [c137] [c136] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [i1] [j35] [j34] [j33] [j32] [c127] [c126] [c125] [c124] [c123] [c118] [c117] [c115] [c114] [j30] [j29] [c112] [c111] [c110] [c108] [c106] [c105] [c101] [c100] [c95] [j26] [j24] [j23] [j22] [c93] [c92] [c91] [c90] [c89] [c86] [c84] [c83] [c82] [c80] [c78] [c75] [c74] [c73] [c72] [j18] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c63] [c62] [c61] [j17] [j16] [c55] [c54] [c52] [c51] [c50] [c49] [c48] [c46] [j14] [j13] [c42] [c41] [c40] [c37] [c35] [c33] [j12] [c32] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21]
Helen M. Meng
aka: Helen Meng
aka: Helen Meng
[j89] [c323] [c321] [c312] [c309] [c308] [i129] [j84] [j82] [c299] [c293] [c289] [c281] [c280] [i114] [i97] [c273] [i86] [c256] [i72] [i70] [i67] [i51] [c206] [c186] [i3] [j52] [c153] [c140] [j34] [j29] [c112] [c106] [c105] [j23] [c86] [c83] [c82] [c78] [c77] [c68] [c66] [c62] [j17] [c55] [c54] [c51] [c46]
[j68] [j65] [e25] [e24] [e23] [e22] [e21] [i37] [i36] [c210] [i28] [j61] [j57] [c176] [c169] [c168] [j53] [j52] [j50] [c165] [c160] [c157] [c153] [j46] [c146] [c143] [c139] [c132] [c130] [i1] [j34] [c125] [c108] [c106] [c105] [c101] [j26] [c85] [j18] [c64] [c63] [j14] [j13] [c42] [j12] [c32] [c30] [c28] [c27] [c20]
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