Chang Gong

According to our database, Chang Gong authored at least 10 papers between 2021 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

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

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

CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution.

Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi

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

2021

TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning.

Quanliang Jing, Di Yao, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, Jingping Bi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021