2022年7月 — 至今：中国科学院计算技术研究所，副研究员

2019年7月 — 2022年7月：中国科学院计算技术研究所，助理研究员

2017年10月 — 2018年10月：新加坡南洋理工大学，访问学者

2013年9月 — 2019年7月：中国科学院计算技术研究所，博士研究生

2009年9月 — 2013年6月：东北大学，本科生

【近期代表论著】

[1] Wenjie Chen, Wenbin Li, Di Yao *, Xuying Meng, Chang Gong, Jingping Bi. GTool: Graph Enhanced Tool Planning with Large Language Model. ICLR'2026 (CCF A)

[2] Shuo Liu, Di Yao *, Yan Lin, Gao Cong, Jingping Bi. Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining? KDD'2026 (CCF A)

[3] Aiwei Zhang, Mengfan Li, Di Yao *, Yi Lin, Yanwei Yu, Jingping Bi. FlightGen: Controllable Flight Trajectory Generation with Physics-Constrained Diffusion. KDD'2026 (CCF A)

[4] Chang Gong, Di Yao *, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi. PORCA: Root Cause Analysis with Partially Observed Data. ICDE'2026 (CCF A)

[5] Yida Li, Shuo Liu, Di Yao* Jingping Bi. OpenTAD: Detecting Open Set Anomalous Trajectory with Memory-Enhanced Distribution Drift Learning. CIKM'2026 (CCF B)

[6] Wenbin Li, Di Yao*, Zijie Xu, Chang Gong, Quanliang Jing. etal. DPBL: Denoised Player Behavior Representation Learning. IEEE Transactions on Games 2025

[7] Wenbin Li, Di Yao*, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi. STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis. WWW'2025 (CCF A)

[8] Shuo Liu, Wenbin Li, Di Yao*, Jingping Bi. Effective and Efficient Representation Learning for Flight Trajectories. AAAI'2025 (CCF A)

[9] Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao. Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Trans. Knowl. Data Eng.'2024 (CCF A)

[10] Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi. Deep Dirichlet Process Mixture Model for Non-Parametric Trajectory Clustering. ICDE'2024 (CCF A)

[11] Wenbin Li, Di Yao *, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi. CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection. ICDE'2024 (CCF A)

[12] Di Yao, Fangda Guo, Zhenyu Wen, Yu Guo, Peng Cheng, Yangyuan He, Jingping Bi. Trajectory Completion via Context-Guided Neural Filtering and Encoding. DASFAA'2024 (CCF B)

[13] Shuo Liu, Di Yao *, Lanting Fang, Zhetao Li, Wenbin Li, Kaiyu Feng, Xiaowen Ji, Jingping Bi. AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models. ICDM'2024 (CCF B)

[14] Chang Gong, Chuzhe Zhang, Di Yao *, Jingping Bi, Wenbin Li, Yongjun Xu. Causal Discovery from Temporal Data: An Overview and New Perspectives. ACM Computing Survey'2024 (ACM旗下影响因子最高期刊，IF 28)

[15] Chang Gong, Di Yao *, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi. CausalMMM: Learning Causal Structure for Marketing Mix Modeling. WSDM'2024 (CCF B)

[16] Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi. TrajGAT: A Graph-Based Long-Term Dependency Modeling Approach for Trajectory Similarity Computation. KDD'2022 (CCF A)

[17] Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao. HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. WSDM Companion'2022（时序链接预测第二名）

[18] Haining Tan, Di Yao*, Tao Huang, Baoli Wang, Quanliang Jing, Jingping Bi. Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation. MDM'2021 (MDM Best Paper Runner-Up Award)

[19] Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi. CausalMTA: Eliminating the User Confounding Bias for Causal Multi-Touch Attribution. KDD'2022 (CCF A)

【已授权专利】

[1] 苏越阳; 姚迪; 毕经平，行程安全风险评估方法、装置、介质

[2] 姚迪; 胡浩楠; 毕经平，移动目标长轨迹预测方法、装置

[3] 李文斌; 姚迪; 毕经平，一种轨迹异常检测系统、在线轨迹异常检测方法

[1] 国家自然科学基金面上项目，因果启发的时空轨迹意图预测方法研究，项目负责人

[2] 国家自然科学基金青年项目，弱监督下异常轨迹在线检测方法研究，项目负责人

[3] 中国科学院先导B课题，智能算法安全基础理论与模型，骨干成员

[4] CCF-滴滴盖亚青年学者基金，基于时空风险的轨迹异常及风险识别，项目负责人

[5] 阿里巴巴AIR项目，基于因果推断的广告经营问题的诊断与解释，项目负责人

[6] 网易伏羲实验室合作研究项目，基于弱监督学习的玩家轨迹异常检测，项目负责人

获奖及荣誉：

WSDM 2022时序链接预测第二名；

2021 IEEE MDM Best Paper Runner-Up Award；

2021微软亚洲研究院“铸星计划”

2021/2024 计算所优秀科研人员

学术服务：

CCF 高级会员, ACM SIGSPATIAL China 执行委员，

长期担任TKDE、TON、TMC、TOIS等期刊审稿人，KDD、WWW、NeurIPS、AAAI、ICLR等会议PC、领域主席或SPC。