期刊论文：

[1] 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)

[2] Xuying Meng, Yequan Wang, Suhang Wang, Di Yao, Yuju Zhang. Interactive Anomaly Detection in Dynamic Communication Networks. IEEE/ACM Transactions on Networking. IEEE/ACM Transactions on Networking. TON’21(CCF A)

[3] Silin Zhou, Peng Han, Di Yao, Lisi Chen, Xiangliang Zhang. Spatial-Temporal Fusion Graph Framework for Trajectory Similarity Computation. World Wide Web Journal. WWWJ’22 (CCF B)

[4] uying Meng, Suhang Wang, Zhimin Liang, Di Yao, Jihua Zhou, Yujun Zhang. Semi-Supervised Anomaly Detection in Dynamic Communication Networks. Information Sciences’21(CCF B)

会议论文：

[1] 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)

[2] 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)

[3] 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)

[4] 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)

[5] 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)

[6] Peng Han, Jin Wang, Di Yao, Shuo Shang , Xiangliang Zhang. A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. KDD’ 21. (CCF A)

[7] 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)

[8] Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang and Jingping Bi. Can Adversarial Training benefit Trajectory Representation  An Investigation on Robustness for Trajectory Similarity Computation. ACM on Conference on Information and Knowledge Management. 31st ACM on Conference on Information and Knowledge Management. CIKM’22 (CCF B)

[9] Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi. Contrastive Disentangled Graph Convolutional Network for Weakly-supervised Classification. 28th International Conference on Database Systems for Advanced Applications. DASFAA’22 (CCF B)

[10] Di Yao, Chao Zhang, Jianhui Huang and Jingping Bi. SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories. 26th ACM on Conference on Information and Knowledge Management. CIKM'17 (CCF B)