Lifang He
2022
A Survey on Text Classification: From Traditional to Deep Learning
Qian Li
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Hao Peng
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Jianxin Li
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Congying Xia
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Renyu Yang
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Lichao Sun
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Philip S. Yu
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Lifang He
2022 Volume 13 Issue 2
Federated Multi-view Learning for Private Medical Data Integration and Analysis
Sicong Che
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Zhaoming Kong
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Hao Peng
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Lichao Sun
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Alex D. Leow
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Yong Chen
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Lifang He
2022 Volume 13 Issue 4
From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection
Jiaqian Ren
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Lei Jiang
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Hao Peng
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Yuwei Cao
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Jia Wu
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Philip S. Yu
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Lifang He
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Qingyun Sun
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Jianxin Li
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Hao Peng
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Jia Wu
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Yuanxing Ning
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Philip S. Yu
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Lifang He
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
2019
Multi-view collective tensor decomposition for cross-modal hashing
Limeng Cui
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Jiawei Zhang
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Lifang He
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Philip S. Yu
2019 Volume 8 Issue 1
2018
Multi-view Collective Tensor Decomposition for Cross-modal Hashing
Limeng Cui
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Zhensong Chen
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Jiawei Zhang
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Lifang He
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Yong Shi
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Philip S. Yu
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, ICMR 2018, Yokohama, Japan, June 11-14, 2018
Learning from Multi-View Multi-Way Data via Structural Factorization Machines
Chun-Ta Lu
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Lifang He
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Hao Ding
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Bokai Cao
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Philip S. Yu
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018
2017
Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data
Senzhang Wang
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Xiaoming Zhang
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Jianping Cao
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Lifang He
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Leon Stenneth
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Philip S. Yu
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Zhoujun Li
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Zhiqiu Huang
2017 Volume 35 Issue 4
Multilinear Factorization Machines for Multi-Task Multi-View Learning
Chun-Ta Lu
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Lifang He
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Weixiang Shao
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Bokai Cao
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Philip S. Yu
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017
Broad Learning based Multi-Source Collaborative Recommendation
Junxing Zhu
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Jiawei Zhang
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Lifang He
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Quanyuan Wu
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Bin Zhou
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Chenwei Zhang
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Philip S. Yu
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services
Yuqi Wang
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Jiannong Cao
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Lifang He
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Wengen Li
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Lichao Sun
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Philip S. Yu
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
Multi-view Clustering with Graph Embedding for Connectome Analysis
Guixiang Ma
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Lifang He
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Chun-Ta Lu
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Weixiang Shao
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Philip S. Yu
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Alex D. Leow
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Ann B. Ragin
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
Co-authors
- Philip S. Yu 11
- Hao Peng 4
- Chun-Ta Lu 3
- Lichao Sun 3
- Jiawei Zhang 3
- show all...
- Bokai Cao 2
- Jia Wu 2
- Jianxin Li 2
- Alex D. Leow 2
- Weixiang Shao 2
- Limeng Cui 2
- Hao Ding 1
- Qingyun Sun 1
- Yuanxing Ning 1
- Ann B. Ragin 1
- Guixiang Ma 1
- Yuqi Wang 1
- Wengen Li 1
- Jiannong Cao 1
- Quanyuan Wu 1
- Chenwei Zhang 1
- Bin Zhou 1
- Junxing Zhu 1
- Jiaqian Ren 1
- Yuwei Cao 1
- Lei Jiang 1
- Yong Shi 1
- Zhensong Chen 1
- Zhaoming Kong 1
- Yong Chen 1
- Sicong Che 1
- Qian Li 1
- Congying Xia 1
- Renyu Yang 1
- Leon Stenneth 1
- Jianping Cao 1
- Zhoujun Li 1
- Zhiqiu Huang 1
- Xiaoming Zhang 1
- Senzhang Wang 1