Li Lin

According to our database, Li Lin authored at least 33 papers between 2018 and 2025.

Collaborative distances:

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

2025

HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer.

Shuai Wang, Hai Wang, Li Lin, Xiaohui Zhao, Tian He, Dian Shen, Wei Xi

IEEE Trans. Knowl. Data Eng., April, 2025

Seeing Beyond Hallucinations: LLM-based Compositional Information Extraction for Multimodal Reasoning.

Xinwei Li, Li Lin, Shuai Wang, Hanqian Wu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction.

Kaiwen Xia, Li Lin, Shuai Wang, Qi Zhang, Shuai Wang, Tian He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Information Cascade Prediction under Public Emergencies: A Survey.

Qi Zhang, Guang Wang, Li Lin, Kaiwen Xia, Shuai Wang

CoRR, 2024

A Cross Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform.

Zhiyuan Zhou, Li Lin, Hai Wang, Xiaolei Zhou, Gong Wei, Shuai Wang

Proceedings of the ACM on Web Conference 2024, 2024

Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models.

Xinwei Li, Li Lin, Shuai Wang, Chen Qian

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

An Bi-Directional Sequence Inference Framework for Multi-Agent Reinforcement Learning.

Wujun Xu, Kaiwen Xia, Shuai Wang, Xiaolei Zhou, Tian He, Li Lin

Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction.

Li Lin, Zhiqiang Lu, Shuai Wang, Yunhuai Liu, Zhiqing Hong, Haotian Wang, Shuai Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion.

Hai Wang, Shuai Wang, Li Lin, Yu Yang, Shuai Wang, Hongkai Wen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting.

Li Lin, Kaiwen Xia, Anqi Zheng, Shijie Hu, Shuai Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion.

Li Lin, Xin Xu, Hai Wang, Tian He, Desheng Zhang, Shuai Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Hierarchical Information Propagation and Aggregation in Disentangled Graph Networks for Audience Expansion.

Li Lin, Xinyao Chen, Kaiwen Xia, Shuai Wang, Desheng Zhang, Tian He

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning.

Shuai Wang, Tongtong Kong, Baoshen Guo, Li Lin, Haotian Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training.

Zan Zong, Li Lin, Leilei Lin, Lijie Wen, Yu Sun

IEEE Trans. Parallel Distributed Syst., August, 2023

A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference.

Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu

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

Unlock the Power: Competitive Distillation for Multi-Modal Large Language Models.

Xinwei Li, Li Lin, Shuai Wang, Chen Qian

CoRR, 2023

A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics.

Kaiwen Xia, Li Lin, Shuai Wang, Haotian Wang, Desheng Zhang, Tian He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs.

Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin

IEEE Trans. Serv. Comput., 2022

LCDD: Detecting Business Process Drifts Based on Local Completeness.

Leilei Lin, Lijie Wen, Li Lin, Jisheng Pei, Hedong Yang

IEEE Trans. Serv. Comput., 2022

Inferring Commonsense Explanations as Prompts for Future Event Generation.

Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang

CoRR, 2022

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation.

Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph.

Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Swap Dominated Tensor Re-Generation Strategy for Training Deep Learning Models.

Lijie Wen, Zan Zong, Li Lin, Leilei Lin

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Pair-Level Supervised Contrastive Learning for Natural Language Inference.

Shuang Li, Xuming Hu, Li Lin, Lijie Wen

Proceedings of the IEEE International Conference on Acoustics, 2022

Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution.

Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction.

Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu

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

MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses.

Li Lin, Zan Zong, Lijie Wen, Chen Qian, Shuang Li, Jianmin Wang

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms.

Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Scaleplus: Towards Fast Scaling of Distributed Streaming Dataflows.

Zan Zong, Lijie Wen, Xiao Liu, Li Lin, Chen Qian, Leilei Lin

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

An Approach for Process Model Extraction by Multi-grained Text Classification.

Chen Qian, Lijie Wen, Akhil Kumar, Leilei Lin, Li Lin, Zan Zong, Shu'ang Li, Jianmin Wang

Proceedings of the Advanced Information Systems Engineering, 2020

Solving Sequential Text Classification as Board-Game Playing.

Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence.

Li Lin, Lijie Wen, Jianmin Wang

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2018

RLRecommender: A Representation-Learning-Based Recommendation Method for Business Process Modeling.

Huaqing Wang, Lijie Wen, Li Lin, Jianmin Wang

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018