簡 歷：
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畢經平，博士生導師，研究員。主要研究方向涵蓋多模態大模型、世界模型、時序數據智能分析、智能網絡等。中國計算機學會高級會員，全國網絡與數據通信專業委員會委員。國內外多個會議或雜志的審稿人。盧嘉錫青年人才獎獲得者，中科院青年促進會成員。主持參與國家973、國家?863、國家自然科學基金、領域專項等重要的縱向/橫向項目超過100項。目前發表國內外重要雜志和會議文章150余篇，專利超過50項，專利轉讓8項，軟件登記7項。主持的多個國家項目成功實現了產學研的結合，研發成果多項順利實現產業化，用于我國的經濟建設或技術轉讓。業余時間喜歡騎車、健身等運動。
本課題方向面向人工智能、大數據分析和計算機網絡等熱門領域，就業情況非常好，絕大多數學生能滿足個人第一志愿。95%學生就業在所屬行業的絕對領頭型企業或核心國家事業單位（如阿里、騰訊、頭條等互聯網公司，銀行、科技部等國家事業單位），部分學生選擇畢業后繼續在國外深造。
對報考學生的要求：1）熟練掌握計算機領域相關基礎知識；2）具有較強的動手能力；3）熱愛科研工作；4）做事主動、勤奮，團隊合作能力強。
主要論著：
[1]?Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi. Causal Discovery from Temporal Data. ACM Computing Survey??2025?( ACM旗下影響因子最高期刊，CSUR，IF 27)
[2]?Shuo Liu, Wenbin Li, Di Yao, Jingping Bi. Effective and Efficient Representation Learning for Flight Trajectory.?AAAI’25 ?(CCF A類會議)?
[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. (計算機學科最具影響力期刊之一, 中科院 1 區，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. (“服務計算”領域旗艦性頂級會議)
[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. (“服務計算”領域旗艦性頂級會議)
畢經平 研究員
研究方向：
所屬部門：裝備智能系統研究中心
導師類別：博導計算機系統結構
聯系方式：jpingbi@ict.ac.cn
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