Li Lin

According to our database, Li Lin authored at least 16 papers between 2018 and 2023.

Collaborative distances:

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

2023

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

Shuang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu

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

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, Shuang 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