Lifang He

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 197

Top Venues

CoRR

ICDM

AAAI

IEEE Trans. Knowl. Data Eng.

Publications

Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. AAAI (2024)
Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. AAAI (2024)
Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He
A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis. Trans. Mach. Learn. Res. 2024 (2024)
Zhengqing Yuan, Ruoxi Chen, Zhaoxu Li, Haolong Jia, Lifang He, Chi Wang, Lichao Sun
Mora: Enabling Generalist Video Generation via A Multi-Agent Framework. CoRR (2024)
Weixiang Sun, Xiaocao You, Ruizhe Zheng, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun
Bora: Biomedical Generalist Video Generation Model. CoRR (2024)
Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul Thompson, Heng Huang, Liang Zhan
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. CoRR (2024)
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He
Semi-Supervised Clustering via Structural Entropy with Different Constraints. SDM (2024)
Haonan Huang, Guoxu Zhou, Qibin Zhao, Lifang He, Shengli Xie
Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Zhengqing Yuan, Rong Zhou, Hongyi Wang, Lifang He, Yanfang Ye, Lichao Sun
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. CoRR (2024)
Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He
Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognit. 145 (2024)
Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR (2024)
Xinqi Du, Hechang Chen, Yongheng Xing, Philip S. Yu, Lifang He
A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning. Expert Syst. Appl. 245 (2024)
Yazhou Ren, Xinyue Chen, Jie Xu, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
A novel federated multi-view clustering method for unaligned and incomplete data fusion. Inf. Fusion 108 (2024)
Song Wu, Yan Zheng, Yazhou Ren, Jing He, Xiaorong Pu, Shudong Huang, Zhifeng Hao, Lifang He
Self-Weighted Contrastive Fusion for Deep Multi-View Clustering. IEEE Trans. Multim. 26 (2024)
Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. CoRR (2024)
Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. CoRR (2024)
Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He
Deep Multi-view Subspace Clustering with Anchor Graph. IJCAI (2023)
Zhaoming Kong, Fangxi Deng, Haomin Zhuang, Xiaowei Yang, Jun Yu, Lifang He
A Comparison of Image Denoising Methods. CoRR (2023)
Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
Federated Deep Multi-View Clustering with Global Self-Supervision. CoRR (2023)
Chenhang Cui, Yazhou Ren, Jingyu Pu, Jiawei Li, Xiaorong Pu, Tianyi Wu, Yutao Shi, Lifang He
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective. CoRR (2023)
Rong Zhou, Houliang Zhou, Brian Y. Chen, Li Shen, Yu Zhang, Lifang He
Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics. MICCAI (2) (2023)
Yao Su, Zhentian Qian, Lei Ma, Lifang He, Xiangnan Kong
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data. KDD (2023)
Zhiling Yan, Kai Zhang, Rong Zhou, Lifang He, Xiang Li, Lichao Sun
Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V. CoRR (2023)
Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. AAAI (2023)
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. CoRR (2023)
Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Feng Zhao, Cheng Yan, Hai Jin, Lifang He
BayesKGR: Bayesian Few-Shot Learning for Knowledge Graph Reasoning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (6) (2023)
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. ICDM (2023)
Zhenqian Wu, Xiaoyuan Li, Yazhou Ren, Xiaorong Pu, Xiaofeng Zhu, Lifang He
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition. CoRR (2023)
Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu
Hierarchical State Abstraction Based on Structural Information Principles. CoRR (2023)
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR (2023)
Chenhang Cui, Yazhou Ren, Jingyu Pu, Jiawei Li, Xiaorong Pu, Tianyi Wu, Yutao Shi, Lifang He
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective. NeurIPS (2023)
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He
Semi-Supervised Clustering via Structural Entropy with Different Constraints. CoRR (2023)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. IEEE Trans. Medical Imaging 42 (2) (2023)
Jianxin Li, Lifang He, Hao Peng, Peng Cui, Charu C. Aggarwal, Philip S. Yu
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Houliang Zhou, Yu Zhang, Lifang He, Li Shen, Brian Y. Chen
Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics. BIBM (2023)
Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingsheng Liu, Mingming Zhang, Philip S. Yu, Lifang He
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu
Hierarchical State Abstraction based on Structural Information Principles. IJCAI (2023)
Yucheng Jin, Yun Xiong, Dan Shi, Yifei Lin, Lifang He, Yao Zhang, Joseph M. Plasek, Li Zhou, David W. Bates, Chunlei Tang
Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding. J. Am. Medical Informatics Assoc. 30 (3) (2023)
Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li
Adversarial Attack and Defense on Graph Data: A Survey. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He
Deep Multi-View Subspace Clustering with Anchor Graph. CoRR (2023)
Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering. AAAI (2023)
Rong Zhou, Houliang Zhou, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He
Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics. BIBM (2023)
Zhenqian Wu, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Lifang He
Generative Neutral Features-Disentangled Learning for Facial Expression Recognition. ACM Multimedia (2023)
Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He
A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Yao Su, Zhentian Qian, Lei Ma, Lifang He, Xiangnan Kong
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data. CoRR (2023)
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR (2023)
Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
Federated Deep Multi-View Clustering with Global Self-Supervision. ACM Multimedia (2023)
Xuetong Wang, Rong Zhou, Kanhao Zhao, Alex D. Leow, Yu Zhang, Lifang He
Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease. ISBI (2023)
Xuetong Wang, Kanhao Zhao, Rong Zhou, Alex Leow, Ricardo Osorio, Yu Zhang, Lifang He
Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease. CoRR (2022)
Xiangchun Yu, Hechang Chen, Miaomiao Liang, Qing Xu, Lifang He
A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification. Multim. Tools Appl. 81 (9) (2022)
Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He
Multi-level Feature Learning for Contrastive Multi-view Clustering. CVPR (2022)
Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Lifang He
Variational Graph Generator for Multi-View Graph Clustering. CoRR (2022)
Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
From Known to Unknown: Quality-aware Self-improving Graph Neural Network for Open Set Social Event Detection. CoRR (2022)
Yao Su, Xin Dai, Lifang He, Xiangnan Kong
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration. CoRR (2022)
Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. CoRR (2022)
Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis. CoRR (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). Big Data (2022)
Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data. CoRR (2022)
Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen
Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis. CoRR (2022)
Jun Yu, Benjamin Zalatan, Yong Chen, Li Shen, Lifang He
Tensor-Based Multi-Modal Multi-Target Regression for Alzheimer's Disease Prediction. BIBM (2022)
Liping Huang, Yongjian Yang, Hechang Chen, Yunke Zhang, Zijia Wang, Lifang He
Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data. Knowl. Based Syst. 245 (2022)
Yazhou Ren, Jingyu Pu, Zhimeng Yang, Jie Xu, Guofeng Li, Xiaorong Pu, Philip S. Yu, Lifang He
Deep Clustering: A Comprehensive Survey. CoRR (2022)
Hao Peng, Renyu Yang, Zheng Wang, Jianxin Li, Lifang He, Philip S. Yu, Albert Y. Zomaya, Rajiv Ranjan
Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. IEEE Trans. Computers 71 (3) (2022)
Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. KDD (2022)
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
A Survey on Text Classification: From Traditional to Deep Learning. ACM Trans. Intell. Syst. Technol. 13 (2) (2022)
Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. EMBC (2022)
Weihang Yuan, Hector Muñoz-Avila, Venkatsampath Raja Gogineni, Sravya Kondrakunta, Michael T. Cox, Lifang He
Task Modifiers for HTN Planning and Acting. CoRR (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. CoRR (2022)
Houliang Zhou, Yu Zhang, Brian Y. Chen, Li Shen, Lifang He
Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease. MICCAI (8) (2022)
Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection. CIKM (2022)
Jun Yu, Zhaoming Kong, Liang Zhan, Li Shen, Lifang He
Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis. CoRR (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. MICCAI (8) (2022)
Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He
Structure-Preserving Graph Kernel for Brain Network Classification. ISBI (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks. CoRR (2022)
Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Yao Su, Xin Dai, Lifang He, Xiangnan Kong
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration. ICDM (2022)
Jianpeng Chen, Zhimeng Yang, Jingyu Pu, Yazhou Ren, Xiaorong Pu, Li Gao, Lifang He
Shared-Attribute Multi-Graph Clustering with Global Self-Attention. ICONIP (1) (2022)
Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen
Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer's Disease Diagnosis. ISBI (2022)
Yue Fei, Fan Chen, Lifang He, Jiamin Chen, Yuexing Hao, Xia Li, Guiqing Liu, Qinqun Chen, Li Li, Hang Wei
Intelligent classification of antenatal cardiotocography signals via multimodal bidirectional gated recurrent units. Biomed. Signal Process. Control. 78 (2022)
Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He
Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs. CoRR (2022)
Sicong Che, Zhaoming Kong, Hao Peng, Lichao Sun, Alex D. Leow, Yong Chen, Lifang He
Federated Multi-view Learning for Private Medical Data Integration and Analysis. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang
Multi-View Brain Network Analysis with Cross-View Missing Network Generation. BIBM (2022)
Xiaoqin Pan, Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He, Ruth Nussinov, Feixiong Cheng
Deep learning for drug repurposing: methods, databases, and applications. CoRR (2022)
Hongren Huang, Chen Li, Xutan Peng, Lifang He, Shu Guo, Hao Peng, Lihong Wang, Jianxin Li
Cross-knowledge-graph entity alignment via relation prediction. Knowl. Based Syst. 240 (2022)
Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data. KDD (2022)
Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He
Deep reinforcement learning guided graph neural networks for brain network analysis. Neural Networks 154 (2022)
Xiaohang Xu, Hao Peng, Md. Zakirul Alam Bhuiyan, Zhifeng Hao, Lianzhong Liu, Lichao Sun, Lifang He
Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data. IEEE Trans. Ind. Informatics 18 (7) (2022)
Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He
Non-Linear Fusion for Self-Paced Multi-View Clustering. ACM Multimedia (2021)
Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu
Heterogeneous Similarity Graph Neural Network on Electronic Health Records. CoRR (2021)
Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. CoRR (2021)
Ye Liu, Jianguo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. EMNLP (1) (2021)
Hao Peng, Bowen Du, Mingsheng Liu, Mingzhe Liu, Shumei Ji, Senzhang Wang, Xu Zhang, Lifang He
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning. Inf. Sci. 578 (2021)
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. AAAI (2021)
Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. ICCV (2021)
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. CoRR (2021)
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He
Adversarial Directed Graph Embedding. AAAI (2021)
Mehrnaz Najafi, Lifang He, Philip S. Yu
Outlier-Robust Multi-View Subspace Clustering with Prior Constraints. ICDM (2021)
Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lifang He