TCP Performance Analysis of CDMA Systems with RLP and MAC Layer Retransmissions. - Haitao Lin; Sajal K. Das 001 (MASCOTS, 2002)

A game theoretic approach for utility maximization in CDMA systems. - Mainak Chatterjee; Haitao Lin; Sajal K. Das 001; Kalyan Basu (ICC, 2003)

An Adaptive Radio Link Protocol to Improve TCP Performance over Correlated Fading Wireless Channels. - Haitao Lin; Sajal K. Das 001; Hee Yong Youn (PWC, 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 001; Kalyan Basu (MobiCom, 2003)

Performance study of TCP/RLP/MAC in next generation CDMA systems. - Haitao Lin; Sajal K. Das 001 (PIMRC, 2003)

A framework for bandwidth degradation and call admission control schemes for multiclass traffic in next-generation wireless networks. - Sajal K. Das 001; Sanjoy K. Sen; Kalyan Basu; Haitao Lin (IEEE J. Sel. Areas Commun., 2003)

An econometric model for resource management in competitive wireless data networks. - Sajal K. Das 001; Haitao Lin; Mainak Chatterjee (IEEE Netw., 2004)

ARLP: an adaptive link layer protocol to improve TCP performance over wireless fading channels. - Haitao Lin; Sajal K. Das 001 (Wirel. Commun. Mob. Comput., 2004)

Non-Cooperative Games for Service Differentiation in CDMA Systems. - Mainak Chatterjee; Haitao Lin; Sajal K. Das 001 (Mob. Networks Appl., 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 001; Kalyan Basu (IEEE Trans. Mob. Comput., 2005)

Performance Study of Link Layer and MAC Layer Protocols to Support TCP in 3G CDMA Systems. - Haitao Lin; Sajal K. Das 001 (IEEE Trans. Mob. Comput., 2005)

A distributed overload control framework for revenue maximization in wireless switches. - Haitao Lin; Prabir Das (CCNC, 2006)

Wireless Networks Revenue Optimization through Overload Control with Priority Services. - Haitao Lin; Preetam Ghosh; Prabir Das (J. Commun., 2006)

Utility based service differentiation in CDMA data networks. - Haitao Lin; Mainak Chatterjee; Sajal K. Das 001 (Wirel. Networks, 2006)

Rate Allocation and Admission Control for Differentiated Services in CDMA Data Networks. - Mainak Chatterjee; Haitao Lin; Sajal K. Das 001 (IEEE Trans. Mob. Comput., 2007)

Optimizing the cost of migration from wireless tdm networks to next generation packet networks. - Huan Li; Haitao Lin; Hee Lee; Prabir Das (WOWMOM, 2008)

A Novel Simple User Scheduling Algorithm for MIMO Downlink System. - Haitao Lin; Zhao Shen; Desheng Wang (WICON, 2011)

Approximate solution to inconsistent system of max-product fuzzy relation inequalities. - Haitao Lin; Xiaobin Yang; Xiaopeng Yang 001 (ICNC-FSKD, 2016)

Optimal Strong Solution of the Weighted Minimax Problem With Fuzzy Relation Equation Constraints. - Haitao Lin; Xiao-Peng Yang 001 (IEEE Access, 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 001 (IEEE Access, 2018)

Resolution of Max-Product Fuzzy Relation Equation with Interval-Valued Parameter. - Xiaobin Yang; Haitao Lin; Gang Xiao; Huanbin Xue; Xiaopeng Yang 001 (Complex., 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)

Neural Pose Transfer by Spatially Adaptive Instance Normalization. - Jiashun Wang; Chao Wen 001; Yanwei Fu 001; Haitao Lin; Tianyun Zou; Xiangyang Xue 001; Yinda Zhang 001 (CVPR, 2020)

Dichotomy algorithm for solving weighted min-max programming problem with addition-min fuzzy relation inequalities constraint. - Haitao Lin; Xiaopeng Yang 001 (Comput. Ind. Eng., 2020)

Pulsars Detection by Machine Learning with Very Few Features. - Haitao Lin; Xiangru Li 001; Ziying Luo (CoRR, 2020)

Clustering Based on Graph of Density Topology. - Zhangyang Gao; Haitao Lin; Stan Z. Li (CoRR, 2020)

LookHops: light multi-order convolution and pooling for graph classification. - Zhangyang Gao; Haitao Lin; Stan Z. Li (CoRR, 2020)

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop. - Jad Kabbara; Haitao Lin; Amandalynne Paullada; Jannis Vamvas (ACL (student), 2021)

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization. - Haitao Lin; Liqun Ma; Junnan Zhu; Lu Xiang; Yu Zhou 001; Jiajun Zhang 001; Chengqing Zong (EMNLP (1), 2021)

Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models. - Haitao Lin; Lu Xiang; Yu Zhou 001; Jiajun Zhang 001; Chengqing Zong (Interspeech, 2021)

Invertible Manifold Learning for Dimension Reduction. - Siyuan Li 002; Haitao Lin; Zelin Zang; Lirong Wu; Jun Xia 001; Stan Z. Li (ECML/PKDD (3), 2021)

Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. - Haitao Lin; Zhangyang Gao; Lirong Wu; Stan Z. Li (CoRR, 2021)

Self-supervised on Graphs: Contrastive, Generative, or Predictive. - Lirong Wu; Haitao Lin; Zhangyang Gao; Cheng Tan 012; Stan Z. Li (CoRR, 2021)

GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction. - Lirong Wu; Haitao Lin; Zhangyang Gao; Cheng Tan 012; 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 001; Xiangyang Xue 001 (CoRR, 2021)

Git: Clustering Based on Graph of Intensity Topology. - Zhangyang Gao; Haitao Lin; Cheng Tan 012; Lirong Wu; Stan Z. Li (CoRR, 2021)

Extensive Deep Temporal Point Process. - Haitao Lin; Cheng Tan 012; Lirong Wu; Zhangyang Gao; Stan Z. Li (CoRR, 2021)

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

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions. - Haitao Lin; Junnan Zhu; Lu Xiang; Yu Zhou 001; Jiajun Zhang 001; Chengqing Zong (ACL (1), 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 001; Guodong Guo; Xiangyang Xue 001 (CVPR, 2022)

Online Robust Specific and Consistent Hashing. - Haitao Lin; Min Meng 001; Jigang Wu (ICME, 2022)

Learning 6-DoF Object Poses to Grasp Category-Level Objects by Language Instructions. - Chilam Cheang; Haitao Lin; Yanwei Fu 001; Xiangyang Xue 001 (ICRA, 2022)

I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches. - Haitao Lin; Chilam Cheang; Yanwei Fu 001; Xiangyang Xue 001 (ICRA, 2022)

Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks. - Lirong Wu; Haitao Lin; Yufei Huang 002; Stan Z. Li (NeurIPS, 2022)

GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction. - Lirong Wu; Jun Xia 001; Zhangyang Gao; Haitao Lin; Cheng Tan 012; Stan Z. Li (ECML/PKDD (4), 2022)

STONet: A Neural-Operator-Driven Spatio-temporal Network. - Haitao Lin; Guojiang Zhao; Lirong Wu; Stan Z. Li (CoRR, 2022)

Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. - Lirong Wu; Jun Xia 001; Haitao Lin; Zhangyang Gao; Zicheng Liu 006; Guojiang Zhao; Stan Z. Li (CoRR, 2022)

Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. - Lirong Wu; Yufei Huang 002; Haitao Lin; Zicheng Liu 006; Tianyu Fan; Stan Z. Li (CoRR, 2022)

Efficient Multi-order Gated Aggregation Network. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Cheng Tan 012; Haitao Lin; Di Wu 057; Zhiyuan Chen 008; Jiangbin Zheng 002; Stan Z. Li (CoRR, 2022)

DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding. - Haitao Lin; Yufei Huang 002; Meng Liu 015; Xuanjing Li; Shuiwang Ji; Stan Z. Li (CoRR, 2022)

Non-equispaced Fourier Neural Solvers for PDEs. - Haitao Lin; Lirong Wu; Yongjie Xu; Yufei Huang 002; Siyuan Li 002; Guojiang Zhao; Stan Z. Li (CoRR, 2022)

Multi-level disentanglement graph neural network. - Lirong Wu; Haitao Lin; Jun Xia 001; Cheng Tan 012; Stan Z. Li (Neural Comput. Appl., 2022)

EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs). - Bin Wang 089; Kerong Ben; Haitao Lin; Mingjiu Zuo; Fengchen Zhang (Sensors, 2022)

Exploring Generative Neural Temporal Point Process. - Haitao Lin; Lirong Wu; Guojiang Zhao; Pai Liu; Stan Z. Li (Trans. Mach. Learn. Res., 2022)

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 002; Tianyu Fan; Stan Z. Li (AAAI, 2023)

CFSum Coarse-to-Fine Contribution Network for Multimodal Summarization. - Min Xiao; Junnan Zhu; Haitao Lin; Yu Zhou 001; Chengqing Zong (ACL (1), 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 001 (CVPR, 2023)

PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring. - Haitao Lin; Yanwei Fu 001; Xiangyang Xue 001 (ICCV, 2023)

Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. - Lirong Wu; Haitao Lin; Yufei Huang 002; Stan Z. Li (ICML, 2023)

Language Guided Robotic Grasping with Fine-Grained Instructions. - Qiang Sun 008; Haitao Lin; Ying Fu; Yanwei Fu 001; Xiangyang Xue 001 (IROS, 2023)

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. - Haitao Lin; Yufei Huang 002; Odin Zhang; Yunfan Liu 002; Lirong Wu; Siyuan Li 002; Zhiyuan Chen 008; Stan Z. Li (NeurIPS, 2023)

Learning to Augment Graph Structure for both Homophily and Heterophily Graphs. - Lirong Wu; Cheng Tan 012; Zihan Liu; Zhangyang Gao; Haitao Lin; Stan Z. Li (ECML/PKDD (3), 2023)

A Survey on Protein Representation Learning: Retrospect and Prospect. - Lirong Wu; Yufei Huang 002; Haitao Lin; Stan Z. Li (CoRR, 2023)

Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy. - Yufei Huang 002; Lirong Wu; Haitao Lin; Jiangbin Zheng 002; Ge Wang; Stan Z. Li (CoRR, 2023)

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. - Haitao Lin; Yufei Huang 002; Haotian Zhang; Lirong Wu; Siyuan Li 002; Zhiyuan Chen 008; Stan Z. Li (CoRR, 2023)

WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model. - Tianyu Wang; Yifan Li; Haitao Lin; Xiangyang Xue 001; Yanwei Fu 001 (CoRR, 2023)

Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. - Yufei Huang 002; Siyuan Li 002; Jin Su; Lirong Wu; Odin Zhang; Haitao Lin; Jingqi Qi; Zihan Liu; Zhangyang Gao; Yuyang Liu; Jiangbin Zheng 002; Stan Z. Li (CoRR, 2023)

Topic-Oriented Dialogue Summarization. - Haitao Lin; Junnan Zhu; Lu Xiang; Feifei Zhai; Yu Zhou 001; Jiajun Zhang 001; Chengqing Zong (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive. - Lirong Wu; Haitao Lin; Cheng Tan 012; Zhangyang Gao; Stan Z. Li (IEEE Trans. Knowl. Data Eng., 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., 2023)

Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. - Yufei Huang 002; Siyuan Li 002; Lirong Wu; Jin Su; Haitao Lin; Odin Zhang; Zihan Liu; Zhangyang Gao; Jiangbin Zheng 002; 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 002; Cheng Tan 012; Zhangyang Gao; Bozhen Hu; Haitao Lin; Zicheng Liu 006; Stan Z. Li (AAAI, 2024)

Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation. - Lirong Wu; Yunfan Liu 002; Haitao Lin; Yufei Huang 002; Stan Z. Li (CIKM, 2024)

Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. - Tianyu Fan; Lirong Wu; Yufei Huang 002; Haitao Lin; Cheng Tan 012; Zhangyang Gao; Stan Z. Li (ICLR, 2024)

MogaNet: Multi-order Gated Aggregation Network. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Cheng Tan 012; Haitao Lin; Di Wu 057; Zhiyuan Chen 008; Jiangbin Zheng 002; Stan Z. Li (ICLR, 2024)

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. - Lirong Wu; Yijun Tian 001; Yufei Huang 002; Siyuan Li 002; Haitao Lin; Nitesh V. Chawla; Stan Z. Li (ICLR, 2024)

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. - Yufei Huang 002; Odin Zhang; Lirong Wu; Cheng Tan 012; Haitao Lin; Zhangyang Gao; Siyuan Li 002; Stan Z. Li (ICML, 2024)

GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation. - Haitao Lin; Lirong Wu; Yufei Huang 002; Yunfan Liu 002; Odin Zhang; Yuanqing Zhou; Rui Sun; Stan Z. Li (ICML, 2024)

PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching. - Haitao Lin; Odin Zhang; Huifeng Zhao; Dejun Jiang 002; Lirong Wu; Zicheng Liu 006; Yufei Huang 002; Stan Z. Li (ICML, 2024)

Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. - Lirong Wu; Yijun Tian 001; Haitao Lin; Yufei Huang 002; Siyuan Li 002; Nitesh V. Chawla; Stan Z. Li (ICML, 2024)

LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. - Zicheng Liu 006; Li Wang; Siyuan Li 002; Zedong Wang; Haitao Lin; Stan Z. Li (IJCAI, 2024)

Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Models. - Tianyu Wang; Haitao Lin; Junqiu Yu; Yanwei Fu 001 (IROS, 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 008; Xinwei Sun 001; Xiangyang Xue 001; Yanwei Fu 001 (IROS, 2024)

Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions. - Rui Sun; Lirong Wu; Haitao Lin; Yufei Huang 002; Stan Z. Li (CoRR, 2024)

Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation. - Odin Zhang; Yufei Huang 002; Shichen Cheng; Mengyao Yu; Xujun Zhang; Haitao Lin; Yundian Zeng; Mingyang Wang 004; Zhenxing Wu; Huifeng Zhao; Zaixi Zhang; Chenqing Hua; et al. (CoRR, 2024)

Deep Lead Optimization: Leveraging Generative AI for Structural Modification. - Odin Zhang; Haitao Lin; Hui Zhang; Huifeng Zhao; Yufei Huang 002; Yuansheng Huang; Dejun Jiang 002; Chang-Yu Hsieh; Peichen Pan; Tingjun Hou (CoRR, 2024)

Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. - Lirong Wu; Yijun Tian 001; Haitao Lin; Yufei Huang 002; Siyuan Li 002; Nitesh V. Chawla; Stan Z. Li (CoRR, 2024)

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. - Haitao Lin; Guojiang Zhao; Odin Zhang; Yufei Huang 002; Lirong Wu; Zicheng Liu 006; Siyuan Li 002; Cheng Tan 012; Zhifeng Gao; Stan Z. Li (CoRR, 2024)

SparseGrasp: Robotic Grasping via 3D Semantic Gaussian Splatting from Sparse Multi-View RGB Images. - Junqiu Yu; Xinlin Ren; Yongchong Gu; Haitao Lin; Tianyu Wang; Yi Zhu 001; Hang Xu 004; Yu-Gang Jiang 001; Xiangyang Xue 001; Yanwei Fu 001 (CoRR, 2024)

GNN Cleaner: Label Cleaner for Graph Structured Data. - Jun Xia 001; Haitao Lin; Yongjie Xu; Cheng Tan 012; Lirong Wu; Siyuan Li 002; Stan Z. Li (IEEE Trans. Knowl. Data Eng., 2024)

Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. - Lirong Wu; Haitao Lin; Bozhen Hu; Cheng Tan 012; Zhangyang Gao; Zicheng Liu 006; Stan Z. Li (IEEE Trans. Neural Networks Learn. Syst., 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., 2024)

Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions. - Lirong Wu; Haitao Lin; Zihan Liu; Zicheng Liu 006; Yufei Huang 002; Stan Z. Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. - Cheng Tan 012; Yijie Zhang; Zhangyang Gao; Yufei Huang 002; Haitao Lin; Lirong Wu; Fandi Wu; Mathieu Blanchette; Stan Z. Li (AAAI, 2025)

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. - Lirong Wu; Haitao Lin; Yufei Huang 002; Zhangyang Gao; Cheng Tan 012; Yunfan Liu 002; Tailin Wu; Stan Z. Li (AAAI, 2025)

DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing. - Yufei Huang 002; Bangyan Liao; Yuqi Hu; Haitao Lin; Lirong Wu; Siyuan Li 002; Cheng Tan 012; Zicheng Liu 006; Yunfan Liu 002; Zelin Zang; Chang Yu 001; Zhen Lei 001 (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 001; Xiangyang Xue 001; Yi Zhu 001 (CVPR, 2025)

EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow. - Yufei Huang 002; Yunshu Liu; Lirong Wu; Haitao Lin; Cheng Tan 012; Odin Zhang; Zhangyang Gao; Siyuan Li 002; Zicheng Liu 006; Yunfan Liu 002; Tailin Wu; Stan Z. Li (ICLR, 2025)

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. - Haitao Lin; Guojiang Zhao; Odin Zhang; Yufei Huang 002; Lirong Wu; Cheng Tan 012; Zicheng Liu 006; Zhifeng Gao; Stan Z. Li (ICLR, 2025)

A Simple yet Effective ΔΔG Predictor is An Unsupervised Antibody Optimizer and Explainer. - Lirong Wu; Yunfan Liu 002; Haitao Lin; Yufei Huang 002; Guojiang Zhao; Zhifeng Gao; Stan Z. Li (ICLR, 2025)

You Only Estimate Once: Unified, One-stage, Real-Time Category-Level Articulated Object 6D Pose Estimation for Robotic Grasping. - Jingshun Huang; Haitao Lin; Tianyu Wang; Yanwei Fu 001; Yu-Gang Jiang 001; Xiangyang Xue 001 (ICRA, 2025)

Multisource aerodynamic data reconstruction method using an enhanced multifidelity neural network. - Xu Wang; Huailu Li; Haitao Lin; Hui Tang 002; Weiwei Zhang 010 (Eng. Appl. Artif. Intell., 2025)

Durian: A Comprehensive Benchmark for Structure-Based 3D Molecular Generation. - Dou Nie; Huifeng Zhao; Odin Zhang; Gaoqi Weng; Hui Zhang; Jieyu Jin; Haitao Lin; Yufei Huang 002; Liwei Liu; Dan Li 013; Tingjun Hou; Yu Kang 002 (J. Chem. Inf. Model., 2025)

Deep lead optimization enveloped in protein pocket and its application in designing potent and selective ligands targeting LTK protein. - Shicheng Chen; Odin Zhang; Chenran Jiang; Huifeng Zhao; Xujun Zhang; Mengting Chen; Yun Liu; Qun Su; Zhenxing Wu; Xinyue Wang; Wanglin Qu; Yuanyi Ye; et al. (Nat. Mac. Intell., 2025)

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer. - Lirong Wu; Yunfan Liu 002; Haitao Lin; Yufei Huang 002; Guojiang Zhao; Zhifeng Gao; Stan Z. Li (CoRR, 2025)

PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models. - Fanmeng Wang; Wentao Guo 004; Qi Ou; Hongshuai Wang; Haitao Lin; Hongteng Xu; Zhifeng Gao (CoRR, 2025)

An Extensive Survey With Empirical Studies on Deep Temporal Point Process. - Haitao Lin; Cheng Tan 012; Lirong Wu; Zicheng Liu 006; Zhangyang Gao; Stan Z. Li (IEEE Trans. Knowl. Data Eng., 2025)

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning. - Haitao Lin; Odin Zhang; Jia Xu; Yunfan Liu 002; Zheng Chen 014; Lirong Wu; Yufei Huang 002; Zhifeng Gao; Stan Z. Li (CoRR, 2025)

HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation. - Jiawei Xue; Zhen Yang; Haitao Lin; Ziji Zhang; Luzhu Wang; Yikun Gu; Yao Xu; Xin Li 144 (CoRR, 2025)

Graph Neural Networks in Modern AI-aided Drug Discovery. - Odin Zhang; Haitao Lin; Xujun Zhang; Xiaorui Wang; Zhenxing Wu; Qing Ye; Weibo Zhao; Jike Wang; Kejun Ying; Yu Kang 002; Chang-Yu Hsieh; Tingjun Hou (CoRR, 2025)

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models. - Zhen Yang; Haitao Lin; Jiawei Xue; Ziji Zhang (CoRR, 2025)

SynBridge: Bridging Reaction States via Discrete Flow for Bidirectional Reaction Prediction. - Haitao Lin; Junjie Wang; Zhifeng Gao; Xiaohong Ji; Rong Zhu; Linfeng Zhang 002; Guolin Ke; Weinan E (CoRR, 2025)

Hierarchical Dimensionless Learning (Hi-π): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations. - Mingkun Xia; Haitao Lin; Weiwei Zhang (CoRR, 2025)

Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting. - Lirong Wu; Haitao Lin; Guojiang Zhao; Cheng Tan 012; Stan Z. Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs. - Guojiang Zhao; Sihang Li 002; Zixiang Lu; Zheng Cheng; Haitao Lin; Lirong Wu; Hanchen Xia; Hengxing Cai; Wentao Guo 004; Hongshuai Wang; Mingjun Xu; Siyu Zhu; et al. (CoRR, 2025)

Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation. - Haitao Lin; Zhen Yang; Jiawei Xue; Ziji Zhang; Luzhu Wang; Yikun Gu; Yao Xu; Xin Li (CoRR, 2025)

Beyond 'Templates': Category-Agnostic Object Pose, Size, and Shape Estimation from a Single View. - Jinyu Zhang; Haitao Lin; Jiashu Hou; Xiangyang Xue 001; Yanwei Fu 001 (CoRR, 2025)

Human-in-the-loop Online Rejection Sampling for Robotic Manipulation. - Guanxing Lu; Rui Zhao; Haitao Lin; He Zhang; Yansong Tang (CoRR, 2025)