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Li Lin 0011
Person information
- affiliation: Southeast University, School of Computer Science and Engineering, Nanjing, China
- affiliation (PhD 2022): Tsinghua University, School of Software, Beijing, China
Other persons with the same name
- Li Lin — disambiguation page
- Li Lin 0001
— Huazhong University of Science and Technology, National Engineering Research Center for Big Data Technology and System, Wuhan, China (and 1 more)
- Li Lin 0002
- Li Lin 0003 — Chinese Academy of Sciences, Institute of Software, Trusted Computing and Information Assurance Laboratory, Beijing, China (and 1 more)
- Li Lin 0004 — Iowa State University, Department of Mathematics, Ames, IA, USA
- Li Lin 0005 — Xiamen University, Department of Computer Science, China
- Li Lin 0006
- Li Lin 0007
- Li Lin 0008
- Li Lin 0009 — Marvell, Santa Clara, CA, USA (and 1 more)
- Li Lin 0010 — Sydney University of Technology, Faculty of Information Technology, Australia
- Li Lin 0012
- Li Lin 0013
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2020 – today
- 2024
- [c22]Li Lin
Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting. CIKM 2024: 1410-1419 - [c21]Li Lin
Hierarchical Information Propagation and Aggregation in Disentangled Graph Networks for Audience Expansion. CIKM 2024: 4702-4709 - [c20]Li Lin, Xin Xu, Hai Wang, Tian He, Desheng Zhang, Shuai Wang:
DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion. CIKM 2024: 4710-4717 - [c19]Hai Wang, Shuai Wang, Li Lin, Yu Yang, Shuai Wang, Hongkai Wen:
Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion. CIKM 2024: 4931-4938 - [c18]Shuai Wang
CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning. CIKM 2024: 4957-4965 - [c17]Li Lin, Zhiqiang Lu, Shuai Wang, Yunhuai Liu, Zhiqing Hong, Haotian Wang, Shuai Wang:
MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction. KDD 2024: 1781-1792 - [c16]Xinwei Li
Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models. SIGIR 2024: 882-892 - [c15]Zhiyuan Zhou, Li Lin
A Cross Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform. WWW 2024: 4037-4046 - [i8]Qi Zhang, Guang Wang, Li Lin, Kaiwen Xia, Shuai Wang:
Information Cascade Prediction under Public Emergencies: A Survey. CoRR abs/2404.01319 (2024) - 2023
- [j4]Shu'ang Li
A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1771-1783 (2023) - [j3]Zan Zong
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training. IEEE Trans. Parallel Distributed Syst. 34(8): 2403-2418 (2023) - [c14]Kaiwen Xia
A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics. KDD 2023: 5237-5248 - [i7]Xinwei Li, Li Lin, Shuai Wang, Chen Qian:
Unlock the Power: Competitive Distillation for Multi-Modal Large Language Models. CoRR abs/2311.08213 (2023) - 2022
- [j2]Leilei Lin
LCDD: Detecting Business Process Drifts Based on Local Completeness. IEEE Trans. Serv. Comput. 15(4): 2086-2099 (2022) - [j1]Zan Zong
MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. IEEE Trans. Serv. Comput. 15(5): 2883-2896 (2022) - [c13]Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen:
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. EMNLP 2022: 7664-7676 - [c12]Shuang Li
Pair-Level Supervised Contrastive Learning for Natural Language Inference. ICASSP 2022: 8237-8241 - [c11]Lijie Wen
A Swap Dominated Tensor Re-Generation Strategy for Training Deep Learning Models. IPDPS 2022: 996-1006 - [c10]Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. KDD 2022: 1021-1030 - [c9]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR 2022: 1098-1109 - [i6]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR abs/2201.07099 (2022) - [i5]Shuang Li, Xuming Hu, Li Lin, Lijie Wen:
Pair-Level Supervised Contrastive Learning for Natural Language Inference. CoRR abs/2201.10927 (2022) - [i4]Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. CoRR abs/2205.15550 (2022) - [i3]Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. CoRR abs/2208.03903 (2022) - [i2]Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. CoRR abs/2210.17004 (2022) - 2021
- [c8]Li Lin, Zan Zong, Lijie Wen
MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses. DASFAA (1) 2021: 509-525 - [c7]Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu:
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. EMNLP (1) 2021: 2737-2746 - [i1]Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu:
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. CoRR abs/2109.06415 (2021) - 2020
- [c6]Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen
Solving Sequential Text Classification as Board-Game Playing. AAAI 2020: 8640-8648 - [c5]Chen Qian, Lijie Wen
An Approach for Process Model Extraction by Multi-grained Text Classification. CAiSE 2020: 268-282 - [c4]Zan Zong, Lijie Wen
Scaleplus: Towards Fast Scaling of Distributed Streaming Dataflows. ISPA/BDCloud/SocialCom/SustainCom 2020: 260-268 - [c3]Chen Qian, Fuli Feng, Lijie Wen
Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. SIGIR 2020: 1201-1210
2010 – 2019
- 2019
- [c2]Li Lin, Lijie Wen
MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence. SDM 2019: 118-126 - 2018
- [c1]Huaqing Wang, Lijie Wen
RLRecommender: A Representation-Learning-Based Recommendation Method for Business Process Modeling. ICSOC 2018: 478-486
Coauthor Index
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last updated on 2024-12-11 20:46 CET by the dblp team
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