He, Lifang

32 publications

ICML 2025 A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments Yuchen Wang, Hongjue Zhao, Haohong Lin, Enze Xu, Lifang He, Huajie Shao

ICML 2025 Multi-View Graph Clustering via Node-Guided Contrastive Encoding Yazhou Ren, Junlong Ke, Zichen Wen, Tianyi Wu, Yang Yang, Xiaorong Pu, Lifang He

ICML 2025 Pre-Training Graph Contrastive Masked Autoencoders Are Strong Distillers for EEG Xinxu Wei, Kanhao Zhao, Yong Jiao, Hua Xie, Lifang He, Yu Zhang

TMLR 2024 A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He

AAAI 2024 Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He

NeurIPSW 2024 Biomedical SAM-2: Segment Anything in Biomedical Images and Videos Zhiling Yan, Weixiang Sun, Rong Zhou, Zhengqing Yuan, Kai Zhang, Yiwei Li, Sekeun Kim, Sifan Song, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun

IJCAI 2024 Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction Yan Zheng, Song Wu, Junyu Lin, Yazhou Ren, Jing He, Xiaorong Pu, Lifang He

IJCAI 2024 Dynamic Weighted Graph Fusion for Deep Multi-View Clustering Yazhou Ren, Jingyu Pu, Chenhang Cui, Yan Zheng, Xinyue Chen, Xiaorong Pu, Lifang He

AAAI 2024 Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He

IJCAI 2024 Integrating Vision-Language Semantic Graphs in Multi-View Clustering Junlong Ke, Zichen Wen, Yechenhao Yang, Chenhang Cui, Yazhou Ren, Xiaorong Pu, Lifang He

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

NeurIPSW 2024 TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Xiang Li, Quanzheng Li, Lifang He, Lichao Sun

NeurIPS 2023 A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective Chenhang Cui, Yazhou Ren, Jingyu Pu, Jiawei Li, Xiaorong Pu, Tianyi Wu, Yutao Shi, Lifang He

IJCAI 2023 Deep Multi-View Subspace Clustering with Anchor Graph Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He

AAAI 2023 Dual Label-Guided Graph Refinement for Multi-View Graph Clustering Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He

IJCAI 2023 Hierarchical State Abstraction Based on Structural Information Principles Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu

AAAI 2023 Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He

CVPR 2022 Multi-Level Feature Learning for Contrastive Multi-View Clustering Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He

AAAI 2021 Adversarial Directed Graph Embedding Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He

IJCAI 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He

AAAI 2021 KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

ICCV 2021 Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He

AAAI 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He

IJCAI 2019 Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization Mehrnaz Najafi, Lifang He, Philip S. Yu

NeurIPS 2018 Boosted Sparse and Low-Rank Tensor Regression Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang

AAAI 2018 Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow

ICML 2017 Kernelized Support Tensor Machines Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin

CVPR 2017 Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin

IJCAI 2016 Item Recommendation for Emerging Online Businesses Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu

ECML-PKDD 2016 Multi-Graph Clustering Based on Interior-Node Topology with Applications to Brain Networks Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin

ECML-PKDD 2016 Trust Hole Identification in Signed Networks Jiawei Zhang, Qianyi Zhan, Lifang He, Charu C. Aggarwal, Philip S. Yu

ECML-PKDD 2015 Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with L2, 1 Regularization Weixiang Shao, Lifang He, Philip S. Yu