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Di Yao(姚迪)

Di Yao(姚迪)

Assistant Professor @ ICT, CAS
No.6 Kexueyuan South Road, Beijing, China, 100190
yaodi AT ict DOT ac DOT cn
[Google Scholar]    [Github]

Background

About

About

I am currently an assistant professor in Institute of Computing Technology, Chinese Academy of Sciences(ICT, CAS). Before joining ICT, I obtained my Ph.D. degree in University of Chinese Academy of Sciences supervised by Prof. Jingping Bi. The thesis is avaliable HERE. Previously I conducted one year visiting at DMAL, Nanyang Technological University under the supervision of Prof. Gao Cong. My research interest lies in time series analysis, spatio-temporal data mining, graph mining and deep learning. The research projects that I have conducted span across the areas of natural language processing, trajectory analysis and anomaly detection.

I am always looking for highly motivated students to join our group. Please feel free to contact me, if you are interested in our work and willing to publish top-tier papers.

News

News

  • [2021. 06] Congratulations to Haining. Our work on next POI recomendation wins the Best Paper Runner-up Award in MDM 2021.
    [2021. 05] One paper about deep representation learning for trajectory similarity computation has been accept in KDD 2021.
    [2020. 12] One paper about time-series similarity computation has been accepted in TKDE.
    [2019. 03] I will attend ICDE 2019 and present our recent work about accelariting trajectory similarity computation. See you in Macao.
Publications

Publications

    2021

  • Interactive Anomaly Detection in Dynamic Communication Networks

    Xuying Meng, Yequan Wang, Suhang Wang, Di Yao, Yuju Zhang.
    IEEE/ACM Transactions on Networking (TON) 2021

  • Semi-Supervised Anomaly Detection in Dynamic Communication Networks

    Xuying Meng, Suhang Wang, Zhimin Liang, Di Yao, Jihua Zhou, Yujun Zhang.
    Information Sciences 2021

  • A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks

    Peng Han, Jin Wang, Di Yao, Shuo Shang , Xiangliang Zhang.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2021

  • Meta-learning Enhanced Neural ODE for Citywide Next POI Recommendation (Best Paper Runner-Up Award)

    Haining Tan, Di Yao, Tao Huang , Baoli Wang, Quanliang Jing, Jingping Bi.
    IEEE International Conference on Mobile Data Management (MDM) 2021
    • 2020

  • A Linear Time Approach to Computing Time Series Similarity based on Deep Metric Learning   

    Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan and Jingping Bi.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) 2020
    • 2019

  • Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach   

    Di Yao, Gao Cong, Chao Zhang and Jingping Bi.
    35th IEEE International Conference on Data Engineering (ICDE) 2019

  • Cross-Network Embedding for Multi-Network Alignment   

    Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu. Jianhui Huang and Jingping Bi
    The Web Conference (WWW) 2019

  • Noise-Aware Network Embedding for Multiplex Network

    Xiaokai Chu, Xinxin Fan, Di Yao, Chenlin Zhang, Jianhui Huang and Jingping Bi
    IEEE International Joint Conference on Neural Networks(IJCNN) 2019

    • 2018

  • Semantic Understanding of Spatio-Temporal Data: Technologies and Applications   

    Di Yao, Chao Zhang, Jingping Bi
    Journal of Software 2018

  • Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams

    Zhihua Zhu, Di Yao, Jianhui Huang, Hanqiang Li, Jingping Bi
    The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD) 2018

    • 2017

  • SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories   

    Di Yao, Chao Zhang, Jianhui Huang and Jingping Bi
    ACM on Conference on Information and Knowledge Management(CIKM) 2017 Short Paper

  • Learning Deep Representation for Trajectory Clustering   

    Di Yao, Chao Zhang, Zhihua Zhu, Jianhui Huang, Jingping Bi
    Expert Systems 2017

  • Trajectory Clustering via Deep Representation Learning   

    Di Yao, Chao Zhang, Jianhui Huang, Jingping Bi
    IEEE International Joint Conference on Neural Networks (IJCNN) 2017

    • 2015

  • A Word Distributed Representation based Framework for Large-scale Short Text Classification

    Di Yao, Jingping Bi, Jianhui Huang, et al
    IEEE International Joint Conference on Neural Networks (IJCNN) 2015
Services

Services

  • Reviewer
    IEEE Transactions on Knowledge and Data Engineering (TKDE)IEEE/ACM Transactions on Networking (TON)IEEE Transactions on Mobile Computing (TMC)IEEE Transactions on Big Data (TBD)ACM Transactions on Knowledge Discovery from Data (TKDD)ACM Transactions on Intelligent Systems and Technology(TIST)International Journal of Geographical Information Science (IJGIS)
  • PC Member
    WISE 2018ECML-PKDD 2020AAAI 2022
  • External Reviewer
    2018: AAAI, IJCAI2019: AAAI, IJCAI, SDM, WWW2020: IJCAI, WWW, ICML
Education

Education

  • Ph.D. Student, Institute of Computing Technology, Chinese Academy of Sciences

    Sep, 2013 - Jul, 2019

  • Vistiing Ph.D. Student, Nanyang Technological University

    Oct, 2017 - Oct, 2018

  • Undergraduate Student , Northeastern University

    Sep, 2009 - Jul, 2013

Awards

Awards

  • Best Paper Runner-up Award @ MDM 2021

  • President's Scholarship at Chinese Academy of Sciences, 2019

  • ICDE Student Travel Grant, 2019

  • National Scholarship for Ph.D. Student (15/389), 2018

  • ZiQiang International Vistiing Scholarship (2/389), 2017, sponsored by Lenovo

  • Merit Student in University of Chinese Academy of Sciences, 2014 and 2015

  • Meritorious Winner of Mathematical Contest in Modeling, 2012