Lirong Wu

1. Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive
   2021/05/16 by Lirong Wu, Haitao Lin, Wu, Lirong +7 · 6 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sentiment Analysis and Opinion Mining #Text and Document Classification Technologies
2. ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
   2021/10/05 by Jun Xia, Lirong Wu, Xia, Jun +7 · 5 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and ELM
3. AutoMix: Unveiling the Power of Mixup for Stronger Classifiers
   2021/03/24 by Zicheng Liu, Liu, Zicheng, Siyuan Li +11 · 4 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification
4. The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
   2024/07/12 by Sitao Luan, Chenqing Hua, Luan, Sitao +25 · 1 voice · 6 citations
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #cs.LG #cs.SI
5. Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation
   2020/09/21 by Lirong Wu, Wu, Lirong, Zicheng Liu +9 · 3 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gait Recognition and Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Video Surveillance and Tracking Methods
6. Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
   2023/06/09 by Lirong Wu, Haitao Lin, Wu, Lirong +5 · 4 citations
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Topological and Geometric Data Analysis
7. OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
   2023/06/20 by Cheng Tan, Tan, Cheng, Siyuan Li +13 · 4 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Time Series Analysis and Forecasting #Video Surveillance and Tracking Methods
8. Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
   2024/02/18 by Yufei Huang, Huang, Yufei, Odin Zhang +13 · 4 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #Chemical Physics (physics.chem-ph) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Molecular Communication and Nanonetworks #Molecular Junctions and Nanostructures #Quantum-Dot Cellular Automata
9. CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
   2024/06/16 by Haitao Lin, Lin, Haitao, Guojiang Zhao +17 · 5 citations
   Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. FlowTS: Time Series Generation via Rectified Flow
    2024/11/12 by Yang Hu, Hu, Yang, Xiao Wang +14 · 5 citations
    Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Stock Market Forecasting Methods #Anomaly Detection Techniques and Applications
11. Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework
    2023/05/18 by Lirong Wu, Wu, Lirong, Haitao Lin +7 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Neural Networks and Applications
12. Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction
    2023/10/14 by Yufei Huang, Huang, Yufei, Siyuan Li +22 · 1 voice · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Drug Discovery Methods #Machine Learning in Bioinformatics #Protein Structure and Dynamics #cs.AI #cs.LG #q-bio.QM
13. A GAN-based Tunable Image Compression System
    2020/01/18 by Lirong Wu, Wu, Lirong, Kejie Huang +3 · 1 citation
    Computer Science · #Advanced Data Compression Techniques #Advanced Image Processing Techniques #Image and Signal Denoising Methods
14. MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
    2024/02/22 by Lirong Wu, Yijun Tian, Wu, Lirong +11 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
15. SemiRetro: Semi-template framework boosts deep retrosynthesis prediction
    2022/02/12 by Zhangyang Gao, Cheng Tan, Gao, Zhangyang +5 · 1 citation
    Materials Science · Biochemistry, Genetics and Molecular Biology · #Machine Learning in Materials Science #Genomics and Phylogenetic Studies #Machine Learning in Bioinformatics
16. MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
    2024/11/04 by Cheng Tan, Tan, Cheng, Zhangyang Gao +14 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Protein Degradation and Inhibitors
17. Masked Modeling for Self-supervised Representation Learning on Vision and Beyond
    2023/12/31 by Siyuan Li, Luyuan Zhang, Li, Siyuan +19 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
18. A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
    2024/03/06 by Lirong Wu, Wu, Lirong, Haitao Lin +7 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
19. UniIF: Unified Molecule Inverse Folding
    2024/05/29 by Zhangyang Gao, Gao, Zhangyang, Jue Wang +13 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Artificial Intelligence (cs.AI) #Chemical Synthesis and Analysis #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #Synthesis and properties of polymers
20. Advances of Deep Learning in Protein Science: A Comprehensive Survey
    2024/03/08 by Bozhen Hu, Cheng Tan, Hu, Bozhen +17 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Genetics, Bioinformatics, and Biomedical Research #Machine Learning in Bioinformatics #Cell Image Analysis Techniques
21. MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs
    2025/08/04 by Guojiang Zhao, Zhao, Guojiang, Zixiang Lu +27 · 3 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
22. ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding
    2026/07/27 by Hangjie Yuan, Yichen Qian, Zhiwei Tang +21
    #cs.CV #cs.AI #cs.CL