Lifang He

31 papers · 2016–2026 · 10 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🏃 Academic Marathon (9) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (9) 🤝 Dynamic Duo (12) 👥 Mega-Team (71) 🔬 Deep Specialist (10) 🏆 Keyword Champion 📈 Trend Setter 🗃️ Keyword Collector (115) 🚀 Conference Pioneer 🔥 Unstoppable (10) ⚡ Prolific Year (5) 💎 Century Club (30)

Conferences

IJCAI (8) AAAI (7) ICML (5) COLING (2) CVPR (2) MICCAI (2) NIPS (2) EMNLP (1) ICCV (1) MIDL (1)

Top co-authors

Yazhou Ren (12) Xiaorong Pu (11) Philip S. Yu (9) Hao Peng (6) Lichao Sun (5) Chenhang Cui (5) Jingyu Pu (4) Jianxin Li (4) Xiang Li (3) Xiaofeng Zhu (3)

Keywords

multi-view clustering (8) graph neural network (8) representation learning (7) contrastive learning (3) self-supervised learning (3) tensor factorization (3) information theory (2) kernel methods (2) support vector machine (2) multi-view learning (2) node embedding (2) natural language processing (1) zero-shot learning (1) graph clustering (1) sentiment analysis (1) variational inference (1) reinforcement learning (1) spectral clustering (1) attention mechanism (1) state abstraction (1)

Papers

TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation MIDL 2026 Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG ICML 2025 A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments ICML 2025 Multi-View Graph Clustering via Node-Guided Contrastive Encoding ICML 2025 SAMed-2: Selective Memory Enhanced Medical Segment Anything Model MICCAI 2025 Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction IJCAI 2024 Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering AAAI 2024 Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering AAAI 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation MICCAI 2024 Integrating Vision-Language Semantic Graphs in Multi-View Clustering IJCAI 2024 Dynamic Weighted Graph Fusion for Deep Multi-View Clustering IJCAI 2024 Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering AAAI 2023 Deep Multi-view Subspace Clustering with Anchor Graph IJCAI 2023 A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective NIPS 2023 Hierarchical State Abstraction based on Structural Information Principles IJCAI 2023 Dual Label-Guided Graph Refinement for Multi-View Graph Clustering AAAI 2023 Multi-Level Feature Learning for Contrastive Multi-View Clustering CVPR 2022 Adversarial Directed Graph Embedding AAAI 2021 HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization EMNLP 2021 Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering ICCV 2021 KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning AAAI 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021 Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks COLING 2020 Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation COLING 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020 Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization IJCAI 2019 Boosted Sparse and Low-Rank Tensor Regression NIPS 2018 Kernelized Support Tensor Machines ICML 2017 Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification CVPR 2017 Item Recommendation for Emerging Online Businesses IJCAI 2016