Haitao Lin - RankMe

145 papers A* 31A 6B 2C 1Journal 95Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Dimensionless Learning: A physics-data hybrid-driven approach for discovering dimensionless parameter combinations. Eng. Appl. Artif. Intell. Mingkun Xia, Haitao Lin, Weiwei Zhang
2026	J	`jnl`	Universal Pose Pretraining for Generalizable Vision-Language-Action Policies. CoRR Haitao Lin, Hanyang Yu, Jingshun Huang, He Zhang, Yonggen Ling, Ping Tan, Xiangyang Xue, Yanwei Fu
2025	J	`jnl`	A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer. CoRR Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li
2025	A*	`conf`	A Simple yet Effective ΔΔG Predictor is An Unsupervised Antibody Optimizer and Explainer. ICLR Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li
2025	J	`jnl`	An Extensive Survey With Empirical Studies on Deep Temporal Point Process. IEEE Trans. Knowl. Data Eng. Haitao Lin, Cheng Tan, Lirong Wu, Zicheng Liu, Zhangyang Gao, Stan Z. Li
2025	J	`jnl`	Beyond 'Templates': Category-Agnostic Object Pose, Size, and Shape Estimation from a Single View. CoRR Jinyu Zhang, Haitao Lin, Jiashu Hou, Xiangyang Xue, Yanwei Fu
2025	A*	`conf`	CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image. CVPR Jingshun Huang, Haitao Lin, Tianyu Wang, Yanwei Fu, Xiangyang Xue, Yi Zhu
2025	J	`jnl`	CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image. CoRR Jingshun Huang, Haitao Lin, Tianyu Wang, Yanwei Fu, Xiangyang Xue, Yi Zhu
2025	A*	`conf`	CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. ICLR Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Cheng Tan, Zicheng Liu, Zhifeng Gao, Stan Z. Li
2025	A*	`conf`	DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing. CVPR Yufei Huang, Bangyan Liao, Yuqi Hu, Haitao Lin, Lirong Wu, Siyuan Li, Cheng Tan, Zicheng Liu, Yunfan Liu, Zelin Zang, Chang Yu, Zhen Lei
2025	J	`jnl`	Deep lead optimization enveloped in protein pocket and its application in designing potent and selective ligands targeting LTK protein. Nat. Mac. Intell. Shicheng Chen, Odin Zhang, Chenran Jiang, Huifeng Zhao, Xujun Zhang, Mengting Chen, Yun Liu, Qun Su, Zhenxing Wu, Xinyue Wang, Wanglin Qu, Yuanyi Ye, Xin Chai, Ning Wang, Tianyue Wang, Yuan An, Guanlin Wu, Qianqian Yang, Jiean Chen, Wei Xie, Haitao Lin, Dan Li, Chang-Yu Hsieh, Yong Huang, Yu Kang, Tingjun Hou, Peichen Pan
2025	J	`jnl`	Durian: A Comprehensive Benchmark for Structure-Based 3D Molecular Generation. J. Chem. Inf. Model. Dou Nie, Huifeng Zhao, Odin Zhang, Gaoqi Weng, Hui Zhang, Jieyu Jin, Haitao Lin, Yufei Huang, Liwei Liu, Dan Li, Tingjun Hou, Yu Kang
2025	J	`jnl`	ECloudGen: leveraging electron clouds as a latent variable to scale up structure-based molecular design. Nat. Comput. Sci. Odin Zhang, Jieyu Jin, Zhenxing Wu, Jintu Zhang, Po Yuan, Yuntao Yu, Haitao Lin, Haiyang Zhong, Xujun Zhang, Chenqing Hua, Weibo Zhao, Zhengshuo Zhang, Kejun Ying, Yufei Huang, Huifeng Zhao, Yu Kang, Peichen Pan, Jike Wang, Dong Guo, Shuangjia Zheng, Chang-Yu Hsieh, Tingjun Hou
2025	A*	`conf`	EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow. ICLR 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
2025	J	`jnl`	GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models. CoRR Zhen Yang, Haitao Lin, Jiawei Xue, Ziji Zhang
2025	J	`jnl`	Graph Neural Networks in Modern AI-aided Drug Discovery. CoRR Odin Zhang, Haitao Lin, Xujun Zhang, Xiaorui Wang, Zhenxing Wu, Qing Ye, Weibo Zhao, Jike Wang, Kejun Ying, Yu Kang, Chang-Yu Hsieh, Tingjun Hou
2025	J	`jnl`	HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation. CoRR Jiawei Xue, Zhen Yang, Haitao Lin, Ziji Zhang, Luzhu Wang, Yikun Gu, Yao Xu, Xin Li
2025	J	`jnl`	Hierarchical Dimensionless Learning (Hi-π): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations. CoRR Mingkun Xia, Haitao Lin, Weiwei Zhang
2025	J	`jnl`	Human-in-the-loop Online Rejection Sampling for Robotic Manipulation. CoRR Guanxing Lu, Rui Zhao, Haitao Lin, He Zhang, Yansong Tang
2025	J	`jnl`	Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Haitao Lin, Guojiang Zhao, Cheng Tan, Stan Z. Li
2025	J	`jnl`	MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs. CoRR Guojiang Zhao, Sihang Li, Zixiang Lu, Zheng Cheng, Haitao Lin, Lirong Wu, Hanchen Xia, Hengxing Cai, Wentao Guo, Hongshuai Wang, Mingjun Xu, Siyu Zhu, Guolin Ke, Linfeng Zhang, Zhifeng Gao
2025	J	`jnl`	Multisource aerodynamic data reconstruction method using an enhanced multifidelity neural network. Eng. Appl. Artif. Intell. Xu Wang, Huailu Li, Haitao Lin, Hui Tang, Weiwei Zhang
2025	J	`jnl`	On the Design of One-step Diffusion via Shortcutting Flow Paths. CoRR Haitao Lin, Peiyan Hu, Minsi Ren, Zhifeng Gao, Zhi-Ming Ma, Guolin Ke, Tailin Wu, Stan Z. Li
2025	A*	`conf`	PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models. ICML Fanmeng Wang, Wentao Guo, Qi Ou, Hongshuai Wang, Haitao Lin, Hongteng Xu, Zhifeng Gao
2025	J	`jnl`	PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models. CoRR Fanmeng Wang, Wentao Guo, Qi Ou, Hongshuai Wang, Haitao Lin, Hongteng Xu, Zhifeng Gao
2025	J	`jnl`	Provable Accelerated Bayesian Optimization with Knowledge Transfer. CoRR Haitao Lin, Boxin Zhao, Mladen Kolar, Chong Liu
2025	A*	`conf`	Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. AAAI Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li
2025	J	`jnl`	Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. CoRR Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li
2025	J	`jnl`	Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation. CoRR Haitao Lin, Zhen Yang, Jiawei Xue, Ziji Zhang, Luzhu Wang, Yikun Gu, Yao Xu, Xin Li
2025	J	`jnl`	SynBridge: Bridging Reaction States via Discrete Flow for Bidirectional Reaction Prediction. CoRR Haitao Lin, Junjie Wang, Zhifeng Gao, Xiaohong Ji, Rong Zhu, Linfeng Zhang, Guolin Ke, Weinan E
2025	J	`jnl`	Tokenizing Electron Cloud in Protein-Ligand Interaction Learning. CoRR Haitao Lin, Odin Zhang, Jia Xu, Yunfan Liu, Zheng Chen, Lirong Wu, Yufei Huang, Zhifeng Gao, Stan Z. Li
2025	A	`conf`	TransSoft: The Low-Cost, Adaptable, and Radial Reconfigurable Soft Hand for Diverse Object Grasping. IROS Yongchong Gu, Haitao Lin, Yanwei Fu
2025	A*	`conf`	You Only Estimate Once: Unified, One-stage, Real-Time Category-Level Articulated Object 6D Pose Estimation for Robotic Grasping. ICRA Jingshun Huang, Haitao Lin, Tianyu Wang, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue
2025	J	`jnl`	You Only Estimate Once: Unified, One-stage, Real-Time Category-level Articulated Object 6D Pose Estimation for Robotic Grasping. CoRR Jingshun Huang, Haitao Lin, Tianyu Wang, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue
2025	A*	`conf`	dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. AAAI Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li
2025	J	`jnl`	dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. CoRR Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li
2024	J	`jnl`	A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation. IEEE Trans. Knowl. Data Eng. Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
2024	J	`jnl`	A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation. CoRR Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
2024	J	`jnl`	Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li
2024	J	`jnl`	CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. CoRR Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li
2024	A*	`conf`	Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. ICLR Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
2024	J	`jnl`	Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. CoRR Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
2024	J	`jnl`	Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation. CoRR Odin Zhang, Yufei Huang, Shichen Cheng, Mengyao Yu, Xujun Zhang, Haitao Lin, Yundian Zeng, Mingyang Wang, Zhenxing Wu, Huifeng Zhao, Zaixi Zhang, Chenqing Hua, Yu Kang, Sunliang Cui, Peichen Pan, Chang-Yu Hsieh, Tingjun Hou
2024	J	`jnl`	Deep Lead Optimization: Leveraging Generative AI for Structural Modification. CoRR Odin Zhang, Haitao Lin, Hui Zhang, Huifeng Zhao, Yufei Huang, Yuansheng Huang, Dejun Jiang, Chang-Yu Hsieh, Peichen Pan, Tingjun Hou
2024	J	`jnl`	Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions. CoRR Rui Sun, Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
2024	J	`jnl`	GNN Cleaner: Label Cleaner for Graph Structured Data. IEEE Trans. Knowl. Data Eng. Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li
2024	A*	`conf`	GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation. ICML Haitao Lin, Lirong Wu, Yufei Huang, Yunfan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, Stan Z. Li
2024	J	`jnl`	Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Haitao Lin, Zihan Liu, Zicheng Liu, Yufei Huang, Stan Z. Li
2024	A	`conf`	LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion. IROS Jinyu Zhang, Yongchong Gu, Jianxiong Gao, Haitao Lin, Qiang Sun, Xinwei Sun, Xiangyang Xue, Yanwei Fu
2024	J	`jnl`	LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion. CoRR Jinyu Zhang, Yongchong Gu, Jianxiong Gao, Haitao Lin, Qiang Sun, Xinwei Sun, Xiangyang Xue, Yanwei Fu
2024	J	`jnl`	Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting. CoRR Lirong Wu, Haitao Lin, Guojiang Zhao, Cheng Tan, Stan Z. Li
2024	J	`jnl`	Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. CoRR Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li
2024	A*	`conf`	Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. ICML Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li
2024	A*	`conf`	LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. IJCAI Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li
2024	J	`jnl`	LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. CoRR Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li
2024	A*	`conf`	MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. ICLR Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li
2024	J	`jnl`	MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. CoRR Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li
2024	A*	`conf`	MogaNet: Multi-order Gated Aggregation Network. ICLR Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching. ICML Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li
2024	J	`jnl`	PPFlow: Target-aware Peptide Design with Torsional Flow Matching. CoRR Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li
2024	A*	`conf`	PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
2024	J	`jnl`	PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li
2024	A	`conf`	Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Models. IROS Tianyu Wang, Haitao Lin, Junqiu Yu, Yanwei Fu
2024	J	`jnl`	Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Models. CoRR Tianyu Wang, Haitao Lin, Junqiu Yu, Yanwei Fu
2024	A*	`conf`	Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. AAAI Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. ICML Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li
2024	J	`jnl`	Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. CoRR Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li
2024	J	`jnl`	SparseGrasp: Robotic Grasping via 3D Semantic Gaussian Splatting from Sparse Multi-View RGB Images. CoRR Junqiu Yu, Xinlin Ren, Yongchong Gu, Haitao Lin, Tianyu Wang, Yi Zhu, Hang Xu, Yu-Gang Jiang, Xiangyang Xue, Yanwei Fu
2024	A	`conf`	Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation. CIKM Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li
2024	J	`jnl`	Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation. CoRR Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li
2023	J	`jnl`	A Survey on Protein Representation Learning: Retrospect and Prospect. CoRR Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li
2023	J	`jnl`	Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy. CoRR Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li
2023	J	`jnl`	Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Lifan Yuan, Guojiang Zhao, Haitao Lin, Stan Z. Li
2023	A*	`conf`	Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework. AAAI Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li
2023	J	`jnl`	Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework. CoRR Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li
2023	A*	`conf`	Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. NeurIPS Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li
2023	J	`jnl`	Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. CoRR Haitao Lin, Yufei Huang, Haotian Zhang, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li
2023	A*	`conf`	GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation. CVPR Jingyang Huo, Qiang Sun, Boyan Jiang, Haitao Lin, Yanwei Fu
2023	J	`jnl`	GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation. CoRR Jingyang Huo, Qiang Sun, Boyan Jiang, Haitao Lin, Yanwei Fu
2023	A	`conf`	Language Guided Robotic Grasping with Fine-Grained Instructions. IROS Qiang Sun, Haitao Lin, Ying Fu, Yanwei Fu, Xiangyang Xue
2023	—	`conf`	Learning to Augment Graph Structure for both Homophily and Heterophily Graphs. ECML/PKDD (3) Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li
2023	A*	`conf`	PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring. ICCV Haitao Lin, Yanwei Fu, Xiangyang Xue
2023	J	`jnl`	PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring. CoRR Haitao Lin, Yanwei Fu, Xiangyang Xue
2023	J	`jnl`	Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. CoRR Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan Z. Li
2023	A*	`conf`	Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. ICML Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
2023	J	`jnl`	Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. CoRR Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
2023	J	`jnl`	Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive. IEEE Trans. Knowl. Data Eng. Lirong Wu, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
2023	J	`jnl`	WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model. CoRR Tianyu Wang, Yifan Li, Haitao Lin, Xiangyang Xue, Yanwei Fu
2022	J	`jnl`	Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. CoRR Lirong Wu, Yufei Huang, Haitao Lin, Zicheng Liu, Tianyu Fan, Stan Z. Li
2022	A*	`conf`	Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. AAAI Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li
2022	J	`jnl`	DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding. CoRR Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li
2022	J	`jnl`	EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs). Sensors Bin Wang, Kerong Ben, Haitao Lin, Mingjiu Zuo, Fengchen Zhang
2022	J	`jnl`	Efficient Multi-order Gated Aggregation Network. CoRR Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li
2022	J	`jnl`	Exploring Generative Neural Temporal Point Process. CoRR Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li
2022	J	`jnl`	Exploring Generative Neural Temporal Point Process. Trans. Mach. Learn. Res. Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li
2022	—	`conf`	GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction. ECML/PKDD (4) Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li
2022	A*	`conf`	I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches. ICRA Haitao Lin, Chilam Cheang, Yanwei Fu, Xiangyang Xue
2022	J	`jnl`	I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches. CoRR Haitao Lin, Chilam Cheang, Yanwei Fu, Xiangyang Xue
2022	A*	`conf`	Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks. NeurIPS Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
2022	A*	`conf`	Learning 6-DoF Object Poses to Grasp Category-Level Objects by Language Instructions. ICRA Chilam Cheang, Haitao Lin, Yanwei Fu, Xiangyang Xue
2022	J	`jnl`	Learning 6-DoF Object Poses to Grasp Category-level Objects by Language Instructions. CoRR Chilam Cheang, Haitao Lin, Yanwei Fu, Xiangyang Xue
2022	J	`jnl`	Multi-level disentanglement graph neural network. Neural Comput. Appl. Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li
2022	J	`jnl`	Non-equispaced Fourier Neural Solvers for PDEs. CoRR Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li
2022	A	`conf`	Online Robust Specific and Consistent Hashing. ICME Haitao Lin, Min Meng, Jigang Wu
2022	A*	`conf`	SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation. CVPR Haitao Lin, Zichang Liu, Chilam Cheang, Yanwei Fu, Guodong Guo, Xiangyang Xue
2022	J	`jnl`	STONet: A Neural-Operator-Driven Spatio-temporal Network. CoRR Haitao Lin, Guojiang Zhao, Lirong Wu, Stan Z. Li
2022	J	`jnl`	Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. CoRR Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li
2021	J	`jnl`	Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. CoRR Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li
2021	J	`jnl`	DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation. CoRR Haitao Lin, Zichang Liu, Chilam Cheang, Lingwei Zhang, Yanwei Fu, Xiangyang Xue
2021	J	`jnl`	Extensive Deep Temporal Point Process. CoRR Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan Z. Li
2021	J	`jnl`	Git: Clustering Based on Graph of Intensity Topology. CoRR Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li
2021	J	`jnl`	GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction. CoRR Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li
2021	—	`conf`	Invertible Manifold Learning for Dimension Reduction. ECML/PKDD (3) Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
2021	—	`ed.`	Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, ACL 2021, Online, JUli 5-10, 2021 ACL (student) Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas
2021	—	`conf`	Proceedings of the ACL-IJCNLP 2021 Student Research Workshop. ACL (student) Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas
2021	J	`jnl`	Self-supervised on Graphs: Contrastive, Generative, or Predictive. CoRR Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li
2020	J	`jnl`	Clustering Based on Graph of Density Topology. CoRR Zhangyang Gao, Haitao Lin, Stan Z. Li
2020	J	`jnl`	Dichotomy algorithm for solving weighted min-max programming problem with addition-min fuzzy relation inequalities constraint. Comput. Ind. Eng. Haitao Lin, Xiaopeng Yang
2020	J	`jnl`	Invertible Manifold Learning for Dimension Reduction. CoRR Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
2020	J	`jnl`	LookHops: light multi-order convolution and pooling for graph classification. CoRR Zhangyang Gao, Haitao Lin, Stan Z. Li
2020	A*	`conf`	Neural Pose Transfer by Spatially Adaptive Instance Normalization. CVPR Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang
2020	J	`jnl`	Neural Pose Transfer by Spatially Adaptive Instance Normalization. CoRR Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang
2020	J	`jnl`	Pulsars Detection by Machine Learning with Very Few Features. CoRR Haitao Lin, Xiangru Li, Ziying Luo
2019	J	`jnl`	Resolution of Max-Product Fuzzy Relation Equation with Interval-Valued Parameter. Complex. Xiaobin Yang, Haitao Lin, Gang Xiao, Huanbin Xue, Xiaopeng Yang
2019	J	`jnl`	单帧图像超分辨中的自适应正则约束算法 (Self-adapting Regular Constraint Algorithm in Super-resolution of Single-frame Images). 计算机科学 Haixue Li, Haitao Lin, Jin Chen
2018	J	`jnl`	Lexicographic Maximum Solution of Min-Product Fuzzy Relation Inequalities for Modeling the Optimal Pricing With Fixed Priority Grade in Supply Chain. IEEE Access XueGang Zhou, Xingyi Zhong, Haitao Lin, Zejian Qin, Xiao-Peng Yang
2018	J	`jnl`	Optimal Strong Solution of the Weighted Minimax Problem With Fuzzy Relation Equation Constraints. IEEE Access Haitao Lin, Xiao-Peng Yang
2016	—	`conf`	Approximate solution to inconsistent system of max-product fuzzy relation inequalities. ICNC-FSKD Haitao Lin, Xiaobin Yang, Xiaopeng Yang
2011	—	`conf`	A Novel Simple User Scheduling Algorithm for MIMO Downlink System. WICON Haitao Lin, Zhao Shen, Desheng Wang
2008	C	`conf`	Optimizing the cost of migration from wireless tdm networks to next generation packet networks. WOWMOM Huan Li, Haitao Lin, Hee Lee, Prabir Das
2007	J	`jnl`	Rate Allocation and Admission Control for Differentiated Services in CDMA Data Networks. IEEE Trans. Mob. Comput. Mainak Chatterjee, Haitao Lin, Sajal K. Das
2006	—	`conf`	A distributed overload control framework for revenue maximization in wireless switches. CCNC Haitao Lin, Prabir Das
2006	J	`jnl`	Utility based service differentiation in CDMA data networks. Wirel. Networks Haitao Lin, Mainak Chatterjee, Sajal K. Das
2006	J	`jnl`	Wireless Networks Revenue Optimization through Overload Control with Priority Services. J. Commun. Haitao Lin, Preetam Ghosh, Prabir Das
2005	J	`jnl`	ARC: An Integrated Admission and Rate Control Framework for Competitive Wireless CDMA Data Networks Using Noncooperative Games. IEEE Trans. Mob. Comput. Haitao Lin, Mainak Chatterjee, Sajal K. Das, Kalyan Basu
2005	J	`jnl`	Non-Cooperative Games for Service Differentiation in CDMA Systems. Mob. Networks Appl. Mainak Chatterjee, Haitao Lin, Sajal K. Das
2005	J	`jnl`	Performance Study of Link Layer and MAC Layer Protocols to Support TCP in 3G CDMA Systems. IEEE Trans. Mob. Comput. Haitao Lin, Sajal K. Das
2004	J	`jnl`	ARLP: an adaptive link layer protocol to improve TCP performance over wireless fading channels. Wirel. Commun. Mob. Comput. Haitao Lin, Sajal K. Das
2004	J	`jnl`	An econometric model for resource management in competitive wireless data networks. IEEE Netw. Sajal K. Das, Haitao Lin, Mainak Chatterjee
2003	J	`jnl`	A framework for bandwidth degradation and call admission control schemes for multiclass traffic in next-generation wireless networks. IEEE J. Sel. Areas Commun. Sajal K. Das, Sanjoy K. Sen, Kalyan Basu, Haitao Lin
2003	—	`conf`	A game theoretic approach for utility maximization in CDMA systems. ICC Mainak Chatterjee, Haitao Lin, Sajal K. Das, Kalyan Basu
2003	A*	`conf`	ARC: an integrated admission and rate control framework for CDMA data networks based on non-cooperative games. MobiCom Haitao Lin, Mainak Chatterjee, Sajal K. Das, Kalyan Basu
2003	—	`conf`	An Adaptive Radio Link Protocol to Improve TCP Performance over Correlated Fading Wireless Channels. PWC Haitao Lin, Sajal K. Das, Hee Yong Youn
2003	B	`conf`	Performance study of TCP/RLP/MAC in next generation CDMA systems. PIMRC Haitao Lin, Sajal K. Das
2002	B	`conf`	TCP Performance Analysis of CDMA Systems with RLP and MAC Layer Retransmissions. MASCOTS Haitao Lin, Sajal K. Das