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2020 – today
- 2024
- [j24]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): 640-651 (2024) - [j23]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): 4375-4385 (2024) - [j22]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): 8497-8509 (2024) - [j21]Lirong Wu, Haitao Lin, Zihan Liu, Zicheng Liu, Yufei Huang, Stan Z. Li:
Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12358-12372 (2024) - [c40]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: 310-319 - [c39]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: 12662-12670 - [c38]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 - [c37]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
MogaNet: Multi-order Gated Aggregation Network. ICLR 2024 - [c36]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 - [c35]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. ICML 2024 - [c34]Haitao Lin, Lirong Wu, Yufei Huang, Yunfan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, Stan Z. Li:
GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation. ICML 2024 - [c33]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. ICML 2024 - [c32]Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li:
Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. ICML 2024 - [c31]Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. IJCAI 2024: 4614-4622 - [i49]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 abs/2402.08198 (2024) - [i48]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 abs/2402.11459 (2024) - [i47]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 abs/2402.14391 (2024) - [i46]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 abs/2403.00875 (2024) - [i45]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 abs/2403.01400 (2024) - [i44]Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li:
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation. CoRR abs/2403.03483 (2024) - [i43]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:
Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation. CoRR abs/2404.00014 (2024) - [i42]Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. CoRR abs/2404.11163 (2024) - [i41]Odin Zhang, Haitao Lin, Hui Zhang, Huifeng Zhao, Yufei Huang, Yuansheng Huang, Dejun Jiang, Chang-Yu Hsieh, Peichen Pan, Tingjun Hou:
Deep Lead Optimization: Leveraging Generative AI for Structural Modification. CoRR abs/2404.19230 (2024) - [i40]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 abs/2405.06642 (2024) - [i39]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 abs/2405.10348 (2024) - [i38]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 abs/2406.10840 (2024) - [i37]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 abs/2407.14768 (2024) - [i36]Jinyu Zhang, Yongchong Gu, Jianxiong Gao, Haitao Lin, Qiang Sun, Xinwei Sun, Xiangyang Xue, Yanwei Fu:
LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion. CoRR abs/2408.03238 (2024) - [i35]Tianyu Wang, Haitao Lin, Junqiu Yu, Yanwei Fu:
Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Models. CoRR abs/2408.07975 (2024) - [i34]Lirong Wu, Haitao Lin, Guojiang Zhao, Cheng Tan, Stan Z. Li:
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting. CoRR abs/2409.05573 (2024) - 2023
- [j20]Haitao Lin, Junnan Zhu, Lu Xiang, Feifei Zhai, Yu Zhou, Jiajun Zhang, Chengqing Zong:
Topic-Oriented Dialogue Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1797-1810 (2023) - [j19]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): 4216-4235 (2023) - [j18]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): 8543-8554 (2023) - [c30]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: 10351-10360 - [c29]Min Xiao, Junnan Zhu, Haitao Lin, Yu Zhou, Chengqing Zong:
CFSum Coarse-to-Fine Contribution Network for Multimodal Summarization. ACL (1) 2023: 8538-8553 - [c28]Jingyang Huo, Qiang Sun, Boyan Jiang, Haitao Lin, Yanwei Fu:
GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation. CVPR 2023: 23212-23221 - [c27]Haitao Lin, Yanwei Fu, Xiangyang Xue:
PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring. ICCV 2023: 241-251 - [c26]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. ICML 2023: 37571-37581 - [c25]Qiang Sun, Haitao Lin, Ying Fu, Yanwei Fu, Xiangyang Xue:
Language Guided Robotic Grasping with Fine-Grained Instructions. IROS 2023: 1319-1326 - [c24]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 - [c23]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: 3-18 - [i33]Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li:
A Survey on Protein Representation Learning: Retrospect and Prospect. CoRR abs/2301.00813 (2023) - [i32]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 abs/2302.10888 (2023) - [i31]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 abs/2305.10758 (2023) - [i30]Jingyang Huo, Qiang Sun, Boyan Jiang, Haitao Lin, Yanwei Fu:
GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation. CoRR abs/2305.17102 (2023) - [i29]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. CoRR abs/2306.05628 (2023) - [i28]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 abs/2306.13769 (2023) - [i27]Min Xiao, Junnan Zhu, Haitao Lin, Yu Zhou, Chengqing Zong:
CFSum: A Coarse-to-Fine Contribution Network for Multimodal Summarization. CoRR abs/2307.02716 (2023) - [i26]Haitao Lin, Yanwei Fu, Xiangyang Xue:
PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring. CoRR abs/2307.11299 (2023) - [i25]Tianyu Wang, Yifan Li, Haitao Lin, Xiangyang Xue, Yanwei Fu:
WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model. CoRR abs/2308.15962 (2023) - [i24]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:
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. CoRR abs/2310.11466 (2023) - 2022
- [j17]Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li:
Multi-level disentanglement graph neural network. Neural Comput. Appl. 34(11): 9087-9101 (2022) - [j16]Bin Wang, Kerong Ben, Haitao Lin, Mingjiu Zuo, Fengchen Zhang:
EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs). Sensors 22(15): 5490 (2022) - [j15]Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li:
Exploring Generative Neural Temporal Point Process. Trans. Mach. Learn. Res. 2022 (2022) - [c22]Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li:
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. AAAI 2022: 7470-7478 - [c21]Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong:
Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions. ACL (1) 2022: 2545-2558 - [c20]Haitao Lin, Zichang Liu, Chilam Cheang, Yanwei Fu, Guodong Guo, Xiangyang Xue:
SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation. CVPR 2022: 6697-6707 - [c19]Haitao Lin, Min Meng, Jigang Wu:
Online Robust Specific and Consistent Hashing. ICME 2022: 1-6 - [c18]Haitao Lin, Chilam Cheang, Yanwei Fu, Xiangyang Xue:
I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches. ICRA 2022: 8417-8423 - [c17]Chilam Cheang, Haitao Lin, Yanwei Fu, Xiangyang Xue:
Learning 6-DoF Object Poses to Grasp Category-Level Objects by Language Instructions. ICRA 2022: 8476-8482 - [c16]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks. NeurIPS 2022 - [c15]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: 519-535 - [i23]Haitao Lin, Guojiang Zhao, Lirong Wu, Stan Z. Li:
STONet: A Neural-Operator-Driven Spatio-temporal Network. CoRR abs/2204.08414 (2022) - [i22]Haitao Lin, Chilam Cheang, Yanwei Fu, Xiangyang Xue:
I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches. CoRR abs/2205.04026 (2022) - [i21]Chilam Cheang, Haitao Lin, Yanwei Fu, Xiangyang Xue:
Learning 6-DoF Object Poses to Grasp Category-level Objects by Language Instructions. CoRR abs/2205.04028 (2022) - [i20]Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong:
Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions. CoRR abs/2205.13190 (2022) - [i19]Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li:
Exploring Generative Neural Temporal Point Process. CoRR abs/2208.01874 (2022) - [i18]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 abs/2210.02097 (2022) - [i17]Lirong Wu, Yufei Huang, Haitao Lin, Zicheng Liu, Tianyu Fan, Stan Z. Li:
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. CoRR abs/2210.02099 (2022) - [i16]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
Efficient Multi-order Gated Aggregation Network. CoRR abs/2211.03295 (2022) - [i15]Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li:
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding. CoRR abs/2211.11214 (2022) - [i14]Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li:
Non-equispaced Fourier Neural Solvers for PDEs. CoRR abs/2212.04689 (2022) - 2021
- [c14]Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas:
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop. ACL (student) 2021 - [c13]Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong:
CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization. EMNLP (1) 2021: 4436-4451 - [c12]Haitao Lin, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong:
Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models. Interspeech 2021: 4703-4707 - [c11]Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li:
Invertible Manifold Learning for Dimension Reduction. ECML/PKDD (3) 2021: 713-728 - [e1]Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas:
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, ACL 2021, Online, JUli 5-10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-952148-03-3 [contents] - [i13]Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li:
Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. CoRR abs/2101.01000 (2021) - [i12]Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li:
Self-supervised on Graphs: Contrastive, Generative, or Predictive. CoRR abs/2105.07342 (2021) - [i11]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 abs/2106.11133 (2021) - [i10]Haitao Lin, Zichang Liu, Chilam Cheang, Lingwei Zhang, Yanwei Fu, Xiangyang Xue:
DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation. CoRR abs/2106.14193 (2021) - [i9]Haitao Lin, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong:
Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models. CoRR abs/2108.08451 (2021) - [i8]Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong:
CSDS: A Fine-grained Chinese Dataset for Customer Service Dialogue Summarization. CoRR abs/2108.13139 (2021) - [i7]Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li:
Git: Clustering Based on Graph of Intensity Topology. CoRR abs/2110.01274 (2021) - [i6]Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan Z. Li:
Extensive Deep Temporal Point Process. CoRR abs/2110.09823 (2021) - 2020
- [j14]Haitao Lin, Xiaopeng Yang:
Dichotomy algorithm for solving weighted min-max programming problem with addition-min fuzzy relation inequalities constraint. Comput. Ind. Eng. 146: 106537 (2020) - [c10]Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang:
Neural Pose Transfer by Spatially Adaptive Instance Normalization. CVPR 2020: 5830-5838 - [i5]Haitao Lin, Xiangru Li, Ziying Luo:
Pulsars Detection by Machine Learning with Very Few Features. CoRR abs/2002.08519 (2020) - [i4]Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang:
Neural Pose Transfer by Spatially Adaptive Instance Normalization. CoRR abs/2003.07254 (2020) - [i3]Zhangyang Gao, Haitao Lin, Stan Z. Li:
Clustering Based on Graph of Density Topology. CoRR abs/2009.11612 (2020) - [i2]Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li:
Invertible Manifold Learning for Dimension Reduction. CoRR abs/2010.04012 (2020) - [i1]Zhangyang Gao, Haitao Lin, Stan Z. Li:
LookHops: light multi-order convolution and pooling for graph classification. CoRR abs/2012.15741 (2020)
2010 – 2019
- 2019
- [j13]Xiaobin Yang, Haitao Lin, Gang Xiao, Huanbin Xue, Xiaopeng Yang:
Resolution of Max-Product Fuzzy Relation Equation with Interval-Valued Parameter. Complex. 2019: 8179763:1-8179763:16 (2019) - [j12]Haixue Li, Haitao Lin, Jin Chen:
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 46(6A): 200-204 (2019) - 2018
- [j11]Haitao Lin, Xiao-Peng Yang:
Optimal Strong Solution of the Weighted Minimax Problem With Fuzzy Relation Equation Constraints. IEEE Access 6: 27593-27603 (2018) - [j10]Xuegang Zhou, Xingyi Zhong, Haitao Lin, Zejian Qin, Xiao-Peng Yang:
Lexicographic Maximum Solution of Min-Product Fuzzy Relation Inequalities for Modeling the Optimal Pricing With Fixed Priority Grade in Supply Chain. IEEE Access 6: 71306-71316 (2018) - 2016
- [c9]Haitao Lin, Xiaobin Yang, Xiaopeng Yang:
Approximate solution to inconsistent system of max-product fuzzy relation inequalities. ICNC-FSKD 2016: 889-893 - 2011
- [c8]Haitao Lin, Zhao Shen, Desheng Wang:
A Novel Simple User Scheduling Algorithm for MIMO Downlink System. WICON 2011: 323-330
2000 – 2009
- 2008
- [c7]Huan Li, Haitao Lin, Hee Lee, Prabir Das:
Optimizing the cost of migration from wireless tdm networks to next generation packet networks. WOWMOM 2008: 1-8 - 2007
- [j9]Mainak Chatterjee, Haitao Lin, Sajal K. Das:
Rate Allocation and Admission Control for Differentiated Services in CDMA Data Networks. IEEE Trans. Mob. Comput. 6(2): 179-191 (2007) - 2006
- [j8]Haitao Lin, Preetam Ghosh, Prabir Das:
Wireless Networks Revenue Optimization through Overload Control with Priority Services. J. Commun. 1(4): 22-30 (2006) - [j7]Haitao Lin, Mainak Chatterjee, Sajal K. Das:
Utility based service differentiation in CDMA data networks. Wirel. Networks 12(5): 623-636 (2006) - [c6]Haitao Lin, Prabir Das:
A distributed overload control framework for revenue maximization in wireless switches. CCNC 2006: 569-573 - 2005
- [j6]Mainak Chatterjee, Haitao Lin, Sajal K. Das:
Non-Cooperative Games for Service Differentiation in CDMA Systems. Mob. Networks Appl. 10(6): 939-946 (2005) - [j5]Haitao Lin, Mainak Chatterjee, Sajal K. Das, Kalyan Basu:
ARC: An Integrated Admission and Rate Control Framework for Competitive Wireless CDMA Data Networks Using Noncooperative Games. IEEE Trans. Mob. Comput. 4(3): 243-258 (2005) - [j4]Haitao Lin, Sajal K. Das:
Performance Study of Link Layer and MAC Layer Protocols to Support TCP in 3G CDMA Systems. IEEE Trans. Mob. Comput. 4(5): 489-501 (2005) - 2004
- [j3]Sajal K. Das, Haitao Lin, Mainak Chatterjee:
An econometric model for resource management in competitive wireless data networks. IEEE Netw. 18(6): 20-26 (2004) - [j2]Haitao Lin, Sajal K. Das:
ARLP: an adaptive link layer protocol to improve TCP performance over wireless fading channels. Wirel. Commun. Mob. Comput. 4(6): 655-668 (2004) - 2003
- [j1]Sajal K. Das, Sanjoy K. Sen, Kalyan Basu, Haitao Lin:
A framework for bandwidth degradation and call admission control schemes for multiclass traffic in next-generation wireless networks. IEEE J. Sel. Areas Commun. 21(10): 1790-1802 (2003) - [c5]Mainak Chatterjee, Haitao Lin, Sajal K. Das, Kalyan Basu:
A game theoretic approach for utility maximization in CDMA systems. ICC 2003: 412-416 - [c4]Haitao Lin, Sajal K. Das, Hee Yong Youn:
An Adaptive Radio Link Protocol to Improve TCP Performance over Correlated Fading Wireless Channels. PWC 2003: 222-236 - [c3]Haitao Lin, Mainak Chatterjee, Sajal K. Das, Kalyan Basu:
ARC: an integrated admission and rate control framework for CDMA data networks based on non-cooperative games. MobiCom 2003: 326-338 - [c2]Haitao Lin, Sajal K. Das:
Performance study of TCP/RLP/MAC in next generation CDMA systems. PIMRC 2003: 648-652 - 2002
- [c1]Haitao Lin, Sajal K. Das:
TCP Performance Analysis of CDMA Systems with RLP and MAC Layer Retransmissions. MASCOTS 2002: 313-320
Coauthor Index
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last updated on 2024-10-30 21:36 CET by the dblp team
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