Wenbin Li

According to our database, Wenbin Li authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

GTool: Graph Enhanced Tool Planning with Large Language Model.

Wenjie Chen, Wenbin Li, Di Yao, Xuying Meng, Chang Gong, Jingping Bi

CoRR, August, 2025

Causal Discovery from Temporal Data: An Overview and New Perspectives.

Chang Gong, Chuzhe Zhang, Di Yao, Jingping Bi, Wenbin Li, Yongjun Xu

ACM Comput. Surv., April, 2025

STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis.

Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Effective and Efficient Representation Learning for Flight Trajectories.

Shuo Liu, Wenbin Li, Di Yao, Jingping Bi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

PORCA: Root Cause Analysis with Partially Observed Data.

Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi

CoRR, 2024

CausalMMM: Learning Causal Structure for Marketing Mix Modeling.

Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models.

Shuo Liu, Di Yao, Lanting Fang, Zhetao Li, Wenbin Li, Kaiyu Feng, Xiaowen Ji, Jingping Bi

Proceedings of the IEEE International Conference on Data Mining, 2024

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection.

Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Causal Discovery from Temporal Data: An Overview and New Perspectives.

Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi

CoRR, 2023

Causal Discovery from Temporal Data.

Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang

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

2022

FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection.

Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Few-shot Learning for Trajectory-based Mobile Game Cheating Detection.

Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng

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