基本信息
姚迪 男 硕导 中国科学院计算技术研究所
电子邮件： yaodi@ict.ac.cn
通信地址： 北京市海淀区科学院南路6号
邮政编码： 100190
电子邮件： yaodi@ict.ac.cn
通信地址： 北京市海淀区科学院南路6号
邮政编码： 100190
招生信息
招生专业
081201-计算机系统结构
招生方向
时空数据挖掘,异常检测,因果机器学习
教育背景
2017-10--2018-10 新加坡南洋理工大学 访问学生
2013-09--2019-07 中国科学院计算技术研究所 研究生/博士
2009-09--2013-07 东北大学 本科/学士
2013-09--2019-07 中国科学院计算技术研究所 研究生/博士
2009-09--2013-07 东北大学 本科/学士
工作经历
工作简历
2022-09~现在, 中国科学院计算技术研究所, 副研究员
2019-07~2022-09,中国科学院计算技术研究所, 助理研究员
2019-07~2022-09,中国科学院计算技术研究所, 助理研究员
专利与奖励
奖励信息
（1） ACM WSDM时序链接预测第二名, 其他, 2022
（2） 中科院计算所优秀科研人员, 研究所（学校）, 2021
（3） 微软亚洲研究院“铸星计划”学者, 院级, 2021
（4） IEEE MDM最佳论文Runner Up, 其他, 2021
（2） 中科院计算所优秀科研人员, 研究所（学校）, 2021
（3） 微软亚洲研究院“铸星计划”学者, 院级, 2021
（4） IEEE MDM最佳论文Runner Up, 其他, 2021
专利成果
（ 1 ） 移动目标长轨迹预测方法、装置, 发明专利, 2022, 第 1 作者, 专利号: CN115130768A
出版信息
发表论文
[1] Yueyang Su, 姚迪, 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). 2023, 第 2 作者
[2] Zhou, Silin, Han, Peng, Yao, Di, Chen, Lisi, Zhang, Xiangliang. Spatial-temporal fusion graph framework for trajectory similarity computation. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS[J]. 2023, 第 3 作者26(4): 1501-1523, http://dx.doi.org/10.1007/s11280-022-01089-0.
[3] Chang Gong, 姚迪, Chuzhe Zhang, Wenbin Li, Jingping Bi. Causal Discovery from Temporal Data. 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2023, 第 2 作者
[4] 姚迪, 胡浩楠, Lun Du, Gao Cong, Han Shi, 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). 2022, 第 1 作者
[5] 苏越阳, 姚迪, 储晓恺, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng. Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2022, 第 2 作者
[6] Yao Di, Cong Gao, Chao Zhang, Meng Xuying, Duan Rongchang, Bi Jingping. A Linear Time Approach to Computing Time Series Similarity based on Deep Metric Learning. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2022, 第 1 作者
[7] Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, 姚迪, Baoli Wang, Jingping Bi. Can Adversarial Training benefit Trajectory Representation? An Investigation on Robustness for Trajectory Similarity Computation. 31st ACM International Conference on Information and Knowledge Management (CIKM). 2022, 第 5 作者
[8] Wenbin Li, 储晓恺, 苏越阳, 姚迪, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi. FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. The Web Conf (WWW). 2022, 第 4 作者
[9] 谭海宁, 姚迪, 毕经平, 向徐, 杨啸. 面向数据匮乏城市的下一个POI推荐方法. 高技术通讯[J]. 2021, 第 2 作者31(12): 1248-1260, http://lib.cqvip.com/Qikan/Article/Detail?id=7106499079.
[10] Meng Xuying, Wang Suhang, Liang Zhimin, Yao Di, Zhou Jihua, Zhang Yujun. Semi-supervised anomaly detection in dynamic communication networks. INFORMATION SCIENCES[J]. 2021, 第 4 作者571: 527-542,
[11] Yao, Di, Gong, Chang, Zhang, Lei, Chen, Sheng, Bi, Jingping. CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. 2021, 第 1 作者
[12] Peng Han, Jin Wang, 姚迪, Shuo Shang, Zhang, Xiangliang. A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2021, 第 3 作者
[13] Meng Xuying, Yequan Wang, Suhang Wang, Di Yao, Yujun Zhang. Interactive Anomaly Detection in Dynamic Communication Networks. IEEE/ACM Transactions on Networking (TON)[J]. 2021, 第 4 作者
[14] Chu Xiaokai, Fan Xinxin, Yao Di, Zhu Zhihua, Huang Jianhui, Bi Jingping, Assoc Comp Machinery. Cross-Network Embedding for Multi-Network Alignment. WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019). 2019, 第 3 作者273-284, http://dx.doi.org/10.1145/3308558.3313499.
[15] Chu, Xiaokai, Fan, Xinxin, Yao, Di, Zhang, ChenLin, Huang, Jianhui, Bi, Jingping, IEEE. Noise-Aware Network Embedding for Multiplex Network. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). 2019, 第 3 作者
[16] Yao Di, Cong Gao, Zhang Chao, Bi Jingping, IEEE. Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. 2019IEEE35THINTERNATIONALCONFERENCEONDATAENGINEERINGICDE2019. 2019, 第 1 作者1358-1369,
[17] 姚迪, 张超, 黄建辉, 陈越新, 毕经平. 时空数据语义理解：技术与应用. 软件学报[J]. 2018, 第 1 作者29(7): 2018-2045, http://lib.cqvip.com/Qikan/Article/Detail?id=675582161.
[18] Yao, Di, Zhang, Chao, Zhu, Zhihua, Hu, Qin, Wang, Zheng, Huang, Jianhui, Bi, Jingping. Learning deep representation for trajectory clustering. EXPERT SYSTEMS[J]. 2018, 第 1 作者35(2): https://www.webofscience.com/wos/woscc/full-record/WOS:000430915400008.
[19] Zhu Zhihua, Yao Di, Huang Jianhui, Bi Jingping. Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2018, PT I[J]. 2018, 第 2 作者10937(null): 551-563,
[20] Yao Di, Zhang Chao, Zhu Zhihua, Huang Jianhui, Bi Jingping, IEEE. Trajectory Clustering via Deep Representation Learning. 2017INTERNATIONALJOINTCONFERENCEONNEURALNETWORKSIJCNN. 2017, 第 1 作者3880-3887,
[21] Yao Di, Zhang Chao, Huang Jianhui, Bi Jingping, Assoc Comp Machinery. SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories. CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT. 2017, 第 1 作者2411-2414, http://dx.doi.org/10.1145/3132847.3133056.
[22] 丁兆颖, 姚迪, 吴琳, 毕经平, 赵瑞莲. 一种基于改进的DBSCAN的面向海量船舶位置数据码头挖掘算法. 计算机工程与科学[J]. 2015, 第 2 作者37(11): 2061-2067, http://lib.cqvip.com/Qikan/Article/Detail?id=666626499.
[23] Fei Wang, Di Yao, Yong Li, Tao Sun, Zhao Zhang. AI-enhanced Spatial-temporal Data Mining Technology: New Chance to Next Generation Urban Computing. THE INNOVATION. 第 2 作者http://dx.doi.org/10.1016/j.xinn.2023.100405.
[2] Zhou, Silin, Han, Peng, Yao, Di, Chen, Lisi, Zhang, Xiangliang. Spatial-temporal fusion graph framework for trajectory similarity computation. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS[J]. 2023, 第 3 作者26(4): 1501-1523, http://dx.doi.org/10.1007/s11280-022-01089-0.
[3] Chang Gong, 姚迪, Chuzhe Zhang, Wenbin Li, Jingping Bi. Causal Discovery from Temporal Data. 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2023, 第 2 作者
[4] 姚迪, 胡浩楠, Lun Du, Gao Cong, Han Shi, 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). 2022, 第 1 作者
[5] 苏越阳, 姚迪, 储晓恺, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng. Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2022, 第 2 作者
[6] Yao Di, Cong Gao, Chao Zhang, Meng Xuying, Duan Rongchang, Bi Jingping. A Linear Time Approach to Computing Time Series Similarity based on Deep Metric Learning. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2022, 第 1 作者
[7] Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, 姚迪, Baoli Wang, Jingping Bi. Can Adversarial Training benefit Trajectory Representation? An Investigation on Robustness for Trajectory Similarity Computation. 31st ACM International Conference on Information and Knowledge Management (CIKM). 2022, 第 5 作者
[8] Wenbin Li, 储晓恺, 苏越阳, 姚迪, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi. FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. The Web Conf (WWW). 2022, 第 4 作者
[9] 谭海宁, 姚迪, 毕经平, 向徐, 杨啸. 面向数据匮乏城市的下一个POI推荐方法. 高技术通讯[J]. 2021, 第 2 作者31(12): 1248-1260, http://lib.cqvip.com/Qikan/Article/Detail?id=7106499079.
[10] Meng Xuying, Wang Suhang, Liang Zhimin, Yao Di, Zhou Jihua, Zhang Yujun. Semi-supervised anomaly detection in dynamic communication networks. INFORMATION SCIENCES[J]. 2021, 第 4 作者571: 527-542,
[11] Yao, Di, Gong, Chang, Zhang, Lei, Chen, Sheng, Bi, Jingping. CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. 2021, 第 1 作者
[12] Peng Han, Jin Wang, 姚迪, Shuo Shang, Zhang, Xiangliang. A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2021, 第 3 作者
[13] Meng Xuying, Yequan Wang, Suhang Wang, Di Yao, Yujun Zhang. Interactive Anomaly Detection in Dynamic Communication Networks. IEEE/ACM Transactions on Networking (TON)[J]. 2021, 第 4 作者
[14] Chu Xiaokai, Fan Xinxin, Yao Di, Zhu Zhihua, Huang Jianhui, Bi Jingping, Assoc Comp Machinery. Cross-Network Embedding for Multi-Network Alignment. WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019). 2019, 第 3 作者273-284, http://dx.doi.org/10.1145/3308558.3313499.
[15] Chu, Xiaokai, Fan, Xinxin, Yao, Di, Zhang, ChenLin, Huang, Jianhui, Bi, Jingping, IEEE. Noise-Aware Network Embedding for Multiplex Network. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). 2019, 第 3 作者
[16] Yao Di, Cong Gao, Zhang Chao, Bi Jingping, IEEE. Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. 2019IEEE35THINTERNATIONALCONFERENCEONDATAENGINEERINGICDE2019. 2019, 第 1 作者1358-1369,
[17] 姚迪, 张超, 黄建辉, 陈越新, 毕经平. 时空数据语义理解：技术与应用. 软件学报[J]. 2018, 第 1 作者29(7): 2018-2045, http://lib.cqvip.com/Qikan/Article/Detail?id=675582161.
[18] Yao, Di, Zhang, Chao, Zhu, Zhihua, Hu, Qin, Wang, Zheng, Huang, Jianhui, Bi, Jingping. Learning deep representation for trajectory clustering. EXPERT SYSTEMS[J]. 2018, 第 1 作者35(2): https://www.webofscience.com/wos/woscc/full-record/WOS:000430915400008.
[19] Zhu Zhihua, Yao Di, Huang Jianhui, Bi Jingping. Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2018, PT I[J]. 2018, 第 2 作者10937(null): 551-563,
[20] Yao Di, Zhang Chao, Zhu Zhihua, Huang Jianhui, Bi Jingping, IEEE. Trajectory Clustering via Deep Representation Learning. 2017INTERNATIONALJOINTCONFERENCEONNEURALNETWORKSIJCNN. 2017, 第 1 作者3880-3887,
[21] Yao Di, Zhang Chao, Huang Jianhui, Bi Jingping, Assoc Comp Machinery. SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories. CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT. 2017, 第 1 作者2411-2414, http://dx.doi.org/10.1145/3132847.3133056.
[22] 丁兆颖, 姚迪, 吴琳, 毕经平, 赵瑞莲. 一种基于改进的DBSCAN的面向海量船舶位置数据码头挖掘算法. 计算机工程与科学[J]. 2015, 第 2 作者37(11): 2061-2067, http://lib.cqvip.com/Qikan/Article/Detail?id=666626499.
[23] Fei Wang, Di Yao, Yong Li, Tao Sun, Zhao Zhang. AI-enhanced Spatial-temporal Data Mining Technology: New Chance to Next Generation Urban Computing. THE INNOVATION. 第 2 作者http://dx.doi.org/10.1016/j.xinn.2023.100405.