Lirong Wu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 90

Top Topics

Vector Quantization

High Dimensional Data Analysis

Graph Structure

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Rui Sun, Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions. CoRR (2024)
Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation. CoRR (2024)
Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li
Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. CoRR (2024)
Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding. CoRR (2024)
Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. CoRR (2024)
Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR (2024)
Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li
PPFlow: Target-aware Peptide Design with Torsional Flow Matching. CoRR (2024)
Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation. CoRR (2024)
Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li
Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. AAAI (2024)
Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI (2024)
Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. CoRR (2024)
Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI (2024)
Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li
UniIF: Unified Molecule Inverse Folding. CoRR (2024)
Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR (2024)
Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li
GNN Cleaner: Label Cleaner for Graph Structured Data. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. CoRR (2024)
Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR (2024)
Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. ICLR (2024)
Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li
Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. CoRR (2024)
Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li
FoldToken: Learning Protein Language via Vector Quantization and Beyond. CoRR (2024)
Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. ICLR (2024)
Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy. CoRR (2023)
Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework. CoRR (2023)
Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li
Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View. CoRR (2023)
Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework. AAAI (2023)
Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li
A Survey on Protein Representation Learning: Retrospect and Prospect. CoRR (2023)
Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. CoRR (2023)
Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan. ZQ. Li
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. CoRR (2023)
Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li
Explaining Graph Neural Networks via Non-parametric Subgraph Matching. CoRR (2023)
Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. CoRR (2023)
Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. CoRR (2023)
Haitao Lin, Yufei Huang, Haotian Zhang, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. CoRR (2023)
Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. ICASSP (2023)
Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CVPR (2023)
Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. NeurIPS (2023)
Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. NeurIPS (2023)
Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. ICML (2023)
Zhangyang Gao, Cheng Tan, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics. NeurIPS (2023)
Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li
Harnessing Hard Mixed Samples with Decoupled Regularizer. NeurIPS (2023)
Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li
Learning to Augment Graph Structure for both Homophily and Heterophily Graphs. ECML/PKDD (3) (2023)
Lirong Wu, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Lirong Wu, Lifan Yuan, Guojiang Zhao, Haitao Lin, Stan Z. Li
Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li
Non-equispaced Fourier Neural Solvers for PDEs. CoRR (2022)
Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li
Multi-level disentanglement graph neural network. Neural Comput. Appl. 34 (11) (2022)
Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li
Exploring Generative Neural Temporal Point Process. CoRR (2022)
Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li
Are Gradients on Graph Structure Reliable in Gray-box Attacks? CoRR (2022)
Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
SimVP: Simpler yet Better Video Prediction. CVPR (2022)
Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. NeurIPS (2022)
Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li
Exploring Generative Neural Temporal Point Process. Trans. Mach. Learn. Res. 2022 (2022)
Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. CoRR (2022)
Haitao Lin, Guojiang Zhao, Lirong Wu, Stan Z. Li
STONet: A Neural-Operator-Driven Spatio-temporal Network. CoRR (2022)
Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning. ICML (2022)
Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. AAAI (2022)
Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
SimVP: Simpler yet Better Video Prediction. CoRR (2022)
Lirong Wu, Yufei Huang, Haitao Lin, Zicheng Liu, Tianyu Fan, Stan Z. Li
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. CoRR (2022)
Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
SemiRetro: Semi-template framework boosts deep retrosynthesis prediction. CoRR (2022)
Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li
Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. WACV (2022)
Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li
Hyperspherical Consistency Regularization. CoRR (2022)
Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. WWW (2022)
Jun Xia, Cheng Tan, Lirong Wu, Yongjie Xu, Stan Z. Li
OT Cleaner: Label Correction as Optimal Transport. ICASSP (2022)
Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. CoRR (2022)
Fang Wu, Siyuan Li, Lirong Wu, Dragomir R. Radev, Qiang Zhang, Stan Z. Li
Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. CoRR (2022)
Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks. NeurIPS (2022)
Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. ECCV (24) (2022)
Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li
Decoupled Mixup for Data-efficient Learning. CoRR (2022)
Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li
Hyperspherical Consistency Regularization. CVPR (2022)
Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li
Are Gradients on Graph Structure Reliable in Gray-box Attacks? CIKM (2022)
Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li
GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction. ECML/PKDD (4) (2022)
Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
CoSP: Co-supervised pretraining of pocket and ligand. CoRR (2022)
Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan Z. Li
Extensive Deep Temporal Point Process. CoRR (2021)
Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li
Co-learning: Learning from Noisy Labels with Self-supervision. CoRR (2021)
Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li
Git: Clustering Based on Graph of Intensity Topology. CoRR (2021)
Lirong Wu, Kejie Huang, Haibin Shen, Lianli Gao
Foreground-Background Parallel Compression With Residual Encoding for Surveillance Video. IEEE Trans. Circuits Syst. Video Technol. 31 (7) (2021)
Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li
Self-supervised on Graphs: Contrastive, Generative, or Predictive. CoRR (2021)
Jun Xia, Lirong Wu, Jintao Chen, Ge Wang, Stan Z. Li
Debiased Graph Contrastive Learning. CoRR (2021)
Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
Invertible Manifold Learning for Dimension Reduction. ECML/PKDD (3) (2021)
Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li
Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. CoRR (2021)
Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li
Co-learning: Learning from Noisy Labels with Self-supervision. ACM Multimedia (2021)
Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction. CoRR (2021)
Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li
AutoMix: Unveiling the Power of Mixup. CoRR (2021)
Lirong Wu, Kejie Huang, Haibin Shen
A GAN-based Tunable Image Compression System. WACV (2020)
Stan Z. Li, Lirong Wu, Zelin Zang
Consistent Representation Learning for High Dimensional Data Analysis. CoRR (2020)
Stan Z. Li, Zelin Zang, Lirong Wu
Deep Manifold Computing and Visualization. CoRR (2020)
Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li
Deep Clustering and Representation Learning that Preserves Geometric Structures. CoRR (2020)
Lirong Wu, Kejie Huang, Haibin Shen, Lianli Gao
A Foreground-background Parallel Compression with Residual Encoding for Surveillance Video. CoRR (2020)
Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
Invertible Manifold Learning for Dimension Reduction. CoRR (2020)
Stan Z. Li, Zelin Zhang, Lirong Wu
Markov-Lipschitz Deep Learning. CoRR (2020)
Lirong Wu, Kejie Huang, Haibin Shen
A GAN-based Tunable Image Compression System. CoRR (2020)
Xiangpei Hu, Lirong Wu, Chao Li, Minfang Huang
SMS-based Mobile Recommendation System for Campus Recruitment in China. ICMB (2011)
Xun-Kai Wei, Chong Duan, Ying Hong Li, Lirong Wu
Ramp Shape Optimum Design for Airplane Land-Based Ski-Jump Takeoff via NSGA II. ISDA (2) (2006)