Haitao Lin

According to our database, Haitao Lin authored at least 93 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions.

Lirong Wu, Haitao Lin, Zihan Liu, Zicheng Liu, Yufei Huang, Stan Z. Li

IEEE Trans. Neural Networks Learn. Syst., September, 2024

A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation.

Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li

IEEE Trans. Knowl. Data Eng., September, 2024

Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks.

Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li

IEEE Trans. Neural Networks Learn. Syst., June, 2024

GNN Cleaner: Label Cleaner for Graph Structured Data.

Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li

IEEE Trans. Knowl. Data Eng., February, 2024

Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting.

Lirong Wu, Haitao Lin, Guojiang Zhao, Cheng Tan, Stan Z. Li

CoRR, 2024

Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Models.

Tianyu Wang, Haitao Lin, Junqiu Yu, Yanwei Fu

CoRR, 2024

LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion.

Jinyu Zhang, Yongchong Gu, Jianxiong Gao, Haitao Lin, Qiang Sun, Xinwei Sun, Xiangyang Xue, Yanwei Fu

CoRR, 2024

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph.

Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li

CoRR, 2024

Learning to Predict Mutation 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

CoRR, 2024

Deep Lead Optimization: Leveraging Generative AI for Structural Modification.

Odin Zhang, Haitao Lin, Hui Zhang, Huifeng Zhao, Yufei Huang, Yuansheng Huang, Dejun Jiang, Chang-Yu Hsieh, Peichen Pan, Tingjun Hou

CoRR, 2024

Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation.

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

CoRR, 2024

Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions.

Rui Sun, Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li

CoRR, 2024

LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory.

Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation.

Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis.

Lirong Wu, Lifan Yuan, Guojiang Zhao, Haitao Lin, Stan Z. Li

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive.

Lirong Wu, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li

IEEE Trans. Knowl. Data Eng., April, 2023

Topic-Oriented Dialogue Summarization.

Haitao Lin, Junnan Zhu, Lu Xiang, Feifei Zhai, Yu Zhou, Jiajun Zhang, Chengqing Zong

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction.

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

CoRR, 2023

WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model.

Tianyu Wang, Yifan Li, Haitao Lin, Xiangyang Xue, Yanwei Fu

CoRR, 2023

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration.

Haitao Lin, Yufei Huang, Haotian Zhang, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li

CoRR, 2023

Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy.

Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li

CoRR, 2023

A Survey on Protein Representation Learning: Retrospect and Prospect.

Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li

CoRR, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Guided Robotic Grasping with Fine-Grained Instructions.

Qiang Sun, Haitao Lin, Ying Fu, Yanwei Fu, Xiangyang Xue

IROS, 2023

Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs.

Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li

Proceedings of the International Conference on Machine Learning, 2023

PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring.

Haitao Lin, Yanwei Fu, Xiangyang Xue

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CFSum Coarse-to-Fine Contribution Network for Multimodal Summarization.

Min Xiao, Junnan Zhu, Haitao Lin, Yu Zhou, Chengqing Zong

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Exploring Generative Neural Temporal Point Process.

Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li

Trans. Mach. Learn. Res., 2022

EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs).

Bin Wang, Kerong Ben, Haitao Lin, Mingjiu Zuo, Fengchen Zhang

Sensors, 2022

Multi-level disentanglement graph neural network.

Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li

Neural Comput. Appl., 2022

Non-equispaced Fourier Neural Solvers for PDEs.

Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li

CoRR, 2022

DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding.

Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li

CoRR, 2022

Efficient Multi-order Gated Aggregation Network.

Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li

CoRR, 2022

Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation.

Lirong Wu, Yufei Huang, Haitao Lin, Zicheng Liu, Tianyu Fan, Stan Z. Li

CoRR, 2022

Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification.

Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li

CoRR, 2022

STONet: A Neural-Operator-Driven Spatio-temporal Network.

Haitao Lin, Guojiang Zhao, Lirong Wu, Stan Z. Li

CoRR, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks.

Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches.

Haitao Lin, Chilam Cheang, Yanwei Fu, Xiangyang Xue

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning 6-DoF Object Poses to Grasp Category-Level Objects by Language Instructions.

Chilam Cheang, Haitao Lin, Yanwei Fu, Xiangyang Xue

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Online Robust Specific and Consistent Hashing.

Haitao Lin, Min Meng, Jigang Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions.

Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting.

Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Extensive Deep Temporal Point Process.

Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan Z. Li

CoRR, 2021

Git: Clustering Based on Graph of Intensity Topology.

Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li

CoRR, 2021

DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation.

Haitao Lin, Zichang Liu, Chilam Cheang, Lingwei Zhang, Yanwei Fu, Xiangyang Xue

CoRR, 2021

GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction.

Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2021

Self-supervised on Graphs: Contrastive, Generative, or Predictive.

Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2021

Conditional Local Filters with Explainers for Spatio-Temporal Forecasting.

Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li

CoRR, 2021

Invertible Manifold Learning for Dimension Reduction.

Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models.

Haitao Lin, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization.

Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop.

Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

LookHops: light multi-order convolution and pooling for graph classification.

Zhangyang Gao, Haitao Lin, Stan Z. Li

CoRR, 2020

Clustering Based on Graph of Density Topology.

Zhangyang Gao, Haitao Lin, Stan Z. Li

CoRR, 2020

Pulsars Detection by Machine Learning with Very Few Features.

Haitao Lin, Xiangru Li, Ziying Luo

CoRR, 2020

Dichotomy algorithm for solving weighted min-max programming problem with addition-min fuzzy relation inequalities constraint.

Haitao Lin, Xiaopeng Yang

Comput. Ind. Eng., 2020

Neural Pose Transfer by Spatially Adaptive Instance Normalization.

Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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).

Haixue Li, Haitao Lin, Jin Chen

计算机科学, 2019

Resolution of Max-Product Fuzzy Relation Equation with Interval-Valued Parameter.

Xiaobin Yang, Haitao Lin, Gang Xiao, Huanbin Xue, Xiaopeng Yang

Complex., 2019

2018

Lexicographic Maximum Solution of Min-Product Fuzzy Relation Inequalities for Modeling the Optimal Pricing With Fixed Priority Grade in Supply Chain.

Xuegang Zhou, Xingyi Zhong, Haitao Lin, Zejian Qin, Xiao-Peng Yang

IEEE Access, 2018

Optimal Strong Solution of the Weighted Minimax Problem With Fuzzy Relation Equation Constraints.

Haitao Lin, Xiao-Peng Yang

IEEE Access, 2018

2016

Approximate solution to inconsistent system of max-product fuzzy relation inequalities.

Haitao Lin, Xiaobin Yang, Xiaopeng Yang

Proceedings of the 12th International Conference on Natural Computation, 2016

2011

A Novel Simple User Scheduling Algorithm for MIMO Downlink System.

Haitao Lin, Zhao Shen, Desheng Wang

Proceedings of the Wireless Internet - 6th International ICST Conference, 2011

2008

Optimizing the cost of migration from wireless tdm networks to next generation packet networks.

Huan Li, Haitao Lin, Hee Lee, Prabir Das

Proceedings of the 9th IEEE International Symposium on a World of Wireless, 2008

2007

Rate Allocation and Admission Control for Differentiated Services in CDMA Data Networks.

Mainak Chatterjee, Haitao Lin, Sajal K. Das

IEEE Trans. Mob. Comput., 2007

2006

Utility based service differentiation in CDMA data networks.

Haitao Lin, Mainak Chatterjee, Sajal K. Das

Wirel. Networks, 2006

Wireless Networks Revenue Optimization through Overload Control with Priority Services.

Haitao Lin, Preetam Ghosh, Prabir Das

J. Commun., 2006

A distributed overload control framework for revenue maximization in wireless switches.

Haitao Lin, Prabir Das

Proceedings of the 3rd IEEE Consumer Communications and Networking Conference, 2006

2005

Performance Study of Link Layer and MAC Layer Protocols to Support TCP in 3G CDMA Systems.

Haitao Lin, Sajal K. Das

IEEE Trans. Mob. Comput., 2005

ARC: An Integrated Admission and Rate Control Framework for Competitive Wireless CDMA Data Networks Using Noncooperative Games.

Haitao Lin, Mainak Chatterjee, Sajal K. Das, Kalyan Basu

IEEE Trans. Mob. Comput., 2005

Non-Cooperative Games for Service Differentiation in CDMA Systems.

Mainak Chatterjee, Haitao Lin, Sajal K. Das

Mob. Networks Appl., 2005

2004

ARLP: an adaptive link layer protocol to improve TCP performance over wireless fading channels.

Haitao Lin, Sajal K. Das

Wirel. Commun. Mob. Comput., 2004

An econometric model for resource management in competitive wireless data networks.

Sajal K. Das, Haitao Lin, Mainak Chatterjee

IEEE Netw., 2004

2003

A framework for bandwidth degradation and call admission control schemes for multiclass traffic in next-generation wireless networks.

Sajal K. Das, Sanjoy K. Sen, Kalyan Basu, Haitao Lin

IEEE J. Sel. Areas Commun., 2003

Performance study of TCP/RLP/MAC in next generation CDMA systems.

Haitao Lin, Sajal K. Das

Proceedings of the IEEE 14th International Symposium on Personal, 2003

ARC: an integrated admission and rate control framework for CDMA data networks based on non-cooperative games.

Haitao Lin, Mainak Chatterjee, Sajal K. Das, Kalyan Basu

Proceedings of the Ninth Annual International Conference on Mobile Computing and Networking, 2003

An Adaptive Radio Link Protocol to Improve TCP Performance over Correlated Fading Wireless Channels.

Haitao Lin, Sajal K. Das, Hee Yong Youn

Proceedings of the Personal Wireless Communications, IFIP-TC6 8th International Conference, 2003

A game theoretic approach for utility maximization in CDMA systems.

Mainak Chatterjee, Haitao Lin, Sajal K. Das, Kalyan Basu

Proceedings of IEEE International Conference on Communications, 2003

2002

TCP Performance Analysis of CDMA Systems with RLP and MAC Layer Retransmissions.

Haitao Lin, Sajal K. Das

Proceedings of the 10th International Workshop on Modeling, 2002