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Non-Linear Fusion for Self-Paced Multi-View Clustering


Apr 19, 2021
Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He


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Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks


Apr 16, 2021
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He

* Accepted by IEEE TKDE. Code is available at https://github.com/RingBDStack/HAE 

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Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks


Apr 02, 2021
Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He

* Accepted by TKDD 2021. arXiv admin note: text overlap with arXiv:1906.04580 

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Privacy-Preserving Federated Depression Detection from Multi-Source Mobile Health Data


Mar 07, 2021
Xiaohang Xu, Hao Peng, Lichao Sun, Md Zakirul Alam Bhuiyan, Lianzhong Liu, Lifang He


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Federated Depression Detection from Multi-SourceMobile Health Data


Feb 06, 2021
Xiaohang Xu, Hao Peng, Lichao Sun, Yan Niu, Hongyuan Ma, Lianzhong Liu, Lifang He


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SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism


Jan 20, 2021
Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Phillip S. Yu, Lifang He

* Accepted by The Web Conference (WWW) 2021 

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Heterogeneous Similarity Graph Neural Network on Electronic Health Records


Jan 17, 2021
Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu


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CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning


Dec 10, 2020
Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan


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A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods


Nov 06, 2020
Zhaoming Kong, Xiaowei Yang, Lifang He


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Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation


Nov 02, 2020
Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu

* Accepted by COLING 2020 

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Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks


Oct 05, 2020
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He

* Accepted by COLING 2020 

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KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning


Sep 26, 2020
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

* 9 pages, 7 figures 

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Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks


Sep 04, 2020
Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He

* accepted by ICDM 2020 as regular paper 

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Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market


Aug 12, 2020
Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He

* 14 pages, journal 

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Adversarial Directed Graph Embedding


Aug 09, 2020
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Philip S. Yu, Lifang He

* 7 pages, 4 figures 

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A Survey on Text Classification: From Shallow to Deep Learning


Aug 04, 2020
Qian Li, Hao Peng, Jianxin Li, Congyin Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He


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A Text Classification Survey: From Shallow to Deep Learning


Aug 02, 2020
Qian Li, Hao Peng, Jianxin Li, Congyin Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He


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Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification


Jun 09, 2019
Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu


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Boosted Sparse and Low-Rank Tensor Regression


Nov 03, 2018
Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang

* 10 pages, 5 figures, NIPS 2018 

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A Self-Organizing Tensor Architecture for Multi-View Clustering


Oct 18, 2018
Lifang He, Chun-ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang

* 2018 IEEE International Conference on Data Mining (ICDM) 

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Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction


Sep 28, 2018
Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu

* The 2018 IEEE International Conference on Data Mining (ICDM'18) 

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Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks


Sep 11, 2018
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu

* accepted by ICBK 18 

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Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease


Jul 11, 2018
Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang


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Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis


Jun 19, 2018
Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow


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Learning from Multi-View Multi-Way Data via Structural Factorization Machines


Feb 15, 2018
Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu

* 10 pages 

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Error-Robust Multi-View Clustering


Jan 01, 2018
Mehrnaz Najafi, Lifang He, Philip S. Yu

* 10 pages, 2017 IEEE International Conference on Big Data (Big Data 2017) 

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Multi-view Graph Embedding with Hub Detection for Brain Network Analysis


Sep 12, 2017
Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin


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Online Multi-view Clustering with Incomplete Views


Nov 06, 2016
Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu


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Online Unsupervised Multi-view Feature Selection


Sep 27, 2016
Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu


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