[1] Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi. Causal Discovery from Temporal Data. ACM Computing Survey  2025 ( ACM旗下影响因子最高期刊，CSUR，IF 27)

[2] Shuo Liu, Wenbin Li, Di Yao, Jingping Bi. Effective and Efficient Representation Learning for Flight Trajectory. AAAI’25  (CCF A类会议) 

[3] Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi. Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering [C] ICDE’24 (CCF A) 

[4] Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing,Jingping Bi. CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection [C] ICDE’24 (CCF A)

[5] Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi. CausalMMM: Learning Causal Structure for Marketing Mix Modeling[C] WSDM’24 (CCF B)

[6] Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi. Causal Discovery from Temporal Data [C] . KDD’23 (Tutorial) (CCF A) 

[7] Yueyang Su, Di Yao, Jingping Bi. Transfer learning for region-wide trajectory outlier detection, IEEE Access.

[8] Yueyang Su, Di Yao, Jingping Bi. Few-shot learning for trajectory outlier detection with only normal trajectories. IJCNN’23 (CCF C)

[9] Yueyang Su, Di Yao, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi. TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR’23 (CCF A) 

[10] Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao and Hao Deng. Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. KDD’22 (CCF A) 

[11] Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng and Jingping Bi. FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. The Web Conference. WWW’22  (CCF A)  

[12] Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang and Jingping Bi, Cross-Network Embedding for Multi-Network Alignment. The Web Conference. WWW’19. (CCF A)

[13] X. Fan, L. Liu, J.Bi. Decentralized Trust Management: Risk Analysis and Trust Aggregation. ACM Computing Surveys (CSUR), 53(1): 2:1-2:33, 2020. (计算机学科最具影响力期刊之一, 中科院 1 区，IF=7.99)

[14] Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han and Jingping Bi. TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. KDD’22 (CCF A)

[15] Di Yao, Chang Gong, Lei Zhang, Sheng Chen and Jingping Bi. CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. KDD’22 (CCF A)

[16] Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan and Jingping Bi. A Linear Time Approach to Computing Time Series Similarity based on Deep Metric Learning[J]. IEEE Transactions on Knowledge and Data Engineering. TKDE’20 (CCF A)

[17] Di Yao, Gao Cong, Chao Zhang, Jingping Bi.  Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach, 35th IEEE International Conference on Data Engineering. ICDE’19 (CCF A)

[18] X. Fan, J. Bi. Identification for Strategically Malicious Participants. The 25th International Conference on Web Service (ICWS), pp. 373–388, 2018. (“服务计算”领域旗舰性顶级会议)

[19] X. Fan, D. He, J.Bi. Trustworthiness and Untrustworthiness Inference with Group Assignment. The 25th International Conference on Web Service (ICWS), pp. 389-404, 2018. (“服务计算”领域旗舰性顶级会议)