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HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization


Oct 12, 2021
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu

* EMNLP 2021 

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Multiplex Graph Networks for Multimodal Brain Network Analysis


Jul 31, 2021
Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He


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BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis


Jul 11, 2021
Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang

* This paper has been accepted to ICML 2021 Workshop on Interpretable Machine Learning in Healthcare 

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Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering


Jul 07, 2021
Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He

* Because some important information about the authors hasn't been confirmed, and our manuscript need to be improved and revised. The new version may need a long time to modified, so we decide to withdrew it 

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Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis


Jul 07, 2021
Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang

* Accepted to ICML 2021 Workshop on Computational Approaches to Mental Health 

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Contrastive Multi-Modal Clustering


Jun 21, 2021
Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He


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Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks


May 24, 2021
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He

* Accept by IJCAI 2021 

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A Robust and Generalized Framework for Adversarial Graph Embedding


May 22, 2021
Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He


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Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities


May 07, 2021
Mehrnaz Najafi, Lifang He, Philip S. Yu


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Federated Multi-View Learning for Private Medical Data Integration and Analysis


May 04, 2021
Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He

* 22 pages, 6 figures, journal 

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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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