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- affiliation: Chinese University of Hong Kong
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2020 – today
- 2021
[j69]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)- [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) - [i62]Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King:
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. CoRR abs/2101.06569 (2021) - [i61]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) - [i60]Yifan Gao, Jingjing Li, Michael R. Lyu, Irwin King:
Open-Retrieval Conversational Machine Reading. CoRR abs/2102.08633 (2021) - [i59]Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King:
Graph-based Semi-supervised Learning: A Comprehensive Review. CoRR abs/2102.13303 (2021) - [i58]Menglin Yang, Ziqiao Meng, Irwin King:
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. CoRR abs/2103.00164 (2021) - [i57]Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu:
A Survey on Deep Semi-supervised Learning. CoRR abs/2103.00550 (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]