Lin, Haitao

31 publications

ICLR 2025 A Simple yet Effective $\Delta\Delta G$ Predictor Is an Unsupervised Antibody Optimizer and Explainer Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li

CVPR 2025 CAP-Net: A Unified Network for 6d Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image Jingshun Huang, Haitao Lin, Tianyu Wang, Yanwei Fu, Xiangyang Xue, Yi Zhu

ICLR 2025 CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Cheng Tan, Zicheng Liu, Zhifeng Gao, Stan Z. Li

CVPR 2025 DaCapo: Score Distillation as Stacked Bridge for Fast and High-Quality 3D Editing Yufei Huang, Bangyan Liao, Yuqi Hu, Haitao Lin, Lirong Wu, Siyuan Li, Cheng Tan, Zicheng Liu, Yunfan Liu, Zelin Zang, Chang Yu, Zhen Lei

ICLR 2025 EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow Yufei Huang, Yunshu Liu, Lirong Wu, Haitao Lin, Cheng Tan, Odin Zhang, Zhangyang Gao, Siyuan Li, Zicheng Liu, Yunfan Liu, Tailin Wu, Stan Z. Li

ICML 2025 PolyConf: Unlocking Polymer Conformation Generation Through Hierarchical Generative Models Fanmeng Wang, Wentao Guo, Qi Ou, Hongshuai Wang, Haitao Lin, Hongteng Xu, Zhifeng Gao

AAAI 2025 Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li

AAAI 2025 dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-Driven Pre-Binding Antigen Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li

ICLR 2024 Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-Training Tasks Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li

ICML 2024 GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation Haitao Lin, Lirong Wu, Yufei Huang, Yunfan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, Stan Z. Li

ICML 2024 Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-Aware Hierarchical Prompt Learning Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V Chawla, Stan Z. Li

IJCAI 2024 LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li

ICLR 2024 MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V Chawla, Stan Z. Li

ICLR 2024 MogaNet: Multi-Order Gated Aggregation Network Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li

ICML 2024 PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li

AAAI 2024 PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li

AAAI 2024 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li

ICML 2024 Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li

AAAI 2023 Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li

NeurIPS 2023 Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li

CVPR 2023 GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation Jingyang Huo, Qiang Sun, Boyan Jiang, Haitao Lin, Yanwei Fu

ECML-PKDD 2023 Learning to Augment Graph Structure for Both Homophily and Heterophily Graphs Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li

ICLRW 2023 Non-Equispaced Fourier Neural Solvers for PDEs Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li

ICCV 2023 PourIt!: Weakly-Supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring Haitao Lin, Yanwei Fu, Xiangyang Xue

ICML 2023 Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li

AAAI 2022 Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li

TMLR 2022 Exploring Generative Neural Temporal Point Process Haitao Lin, Lirong Wu, Guojiang Zhao, Liu Pai, Stan Z. Li

ECML-PKDD 2022 GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-Supervised Context Prediction Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li

NeurIPS 2022 Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li

CVPR 2022 SAR-Net: Shape Alignment and Recovery Network for Category-Level 6d Object Pose and Size Estimation Haitao Lin, Zichang Liu, Chilam Cheang, Yanwei Fu, Guodong Guo, Xiangyang Xue

ECML-PKDD 2021 Invertible Manifold Learning for Dimension Reduction Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li