Di Yao @ ICT,CAS

Background

About

I am currently an associate 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, anomaly detection and causal discovery .

I am looking for highly-motivated students to work with me. If interested, please drop me a message by email.

News

[2023. 12]Two papers about trajectory data mining have been accepted in ICDE 2024!
[2023. 12]One paper about causal discovery for marketing mix modeling has been accepted in WSDM 2024!
[2023. 05]Our tutorial proposal about causal discovery from temproal data has been accepted in SIGKDD 2023!
[2023. 04] Our work collaborated with DiDi Global Team has been accepted in SIGIR 2023!
[2023. 03] We have released a survey paper about causal discovery from temproal data.
[2022. 08] One paper about robust trajectory embedding has been accepted in CIKM 2022!
[2022. 05] We have three papers accepted in KDD 2022. Congratulations!
[2022. 02] We own the 2nd prize of WSDM 2022 Challenge - Temporal Link Prediction.
[2022. 01] Our paper about mobile game cheating detection has been accepted in WWW 2022. Congratulations to Wenbin!
[2022. 01] One GNN paper has been accepted in DASFAA 2022. Congratulations to Xiaokai!
[2021. 12] My research proposal about causal discovery is accepted by Alibaba AIR Program.
[2021. 11] I am honored to join MSRA StraTrack Program 2021.
[2021. 08] My research proposal about anomaly detection is accepted by GAIA Research Funds, DiDi Inc.

Publications

(* indicates the Corresponding Author)

2024

Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering
Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi.
IEEE International Conference on Data Engineering (ICDE) 2024
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection
Wenbin Li, Di Yao*, Chang Gong, Xiaokai Chu, Quanliang Jing,Jingping Bi.
IEEE International Conference on Data Engineering (ICDE) 2024
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
Chang Gong, Di Yao*, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi.
The 17th ACM International Conference on Web Search and Data Mining(WSDM) 2024

2023

Causal Discovery from Temporal Data (Tutorial)
Chang Gong, Di Yao*, Chuzhe Zhang, Wenbin Li, Jingping Bi
29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023
TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data
Yueyang Su, Di Yao*, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi
46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2023 Short Paper
Causal Discovery from Temporal Data: An Overview and New Perspectives
Chang Gong, Di Yao*, Chuzhe Zhang, Wenbin Li, Jingping Bi
ArXiv 2023
AI-enhanced Spatial-Temporal Data Mining Technology: New Chance for Next-generation Urban Computing
Fei Wang, Di Yao, Yong Li, Tao Sun, Zhao Zhang
The Innovation 2023

2022

Spatial-Temporal Fusion Graph Framework for Trajectory Similarity Computation
Silin Zhou, Peng Han, Di Yao, Lisi Chen, Xiangliang Zhang
World Wide Web Journal 2022
Can Adversarial Training benefit Trajectory Representation? An Investigation on Robustness for Trajectory Similarity Computation
Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang and Jingping Bi
31st ACM International Conference on Information and Knowledge Management (CIKM) 2022
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han and Jingping Bi
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution
Di Yao, Chang Gong, Lei Zhang, Sheng Chen and Jingping Bi
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022
Few-shot Learning for Trajectory-based Mobile Game Cheating Detection
Yueyang Su, Di Yao*, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao and Hao Deng
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction
Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
2nd prize of WSDM 2022 Challenge - Temporal Link Prediction
FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection
Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao*, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng and Jingping Bi
The Web Conf (WWW) 2022
Contrastive Disentangled Graph Convolutional Network for Weakly-supervised Classification
Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi
DASFAA 2022

2021

TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning
Quanliang Jing, Di Yao*, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, Jingping Bi
IEEE Bigdata 2021
Interactive Anomaly Detection in Dynamic Communication Networks
Xuying Meng, Yequan Wang, Suhang Wang, Di Yao, Yujun 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.
27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2021
Meta-learning Enhanced Neural ODE for Citywide Next POI Recommendation
Haining Tan, Di Yao*, Tao Huang , Baoli Wang, Quanliang Jing, Jingping Bi.
IEEE International Conference on Mobile Data Management (MDM) 2021 (Best Paper Runner-Up Award)

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

Reviewer
IEEE Transactions on Knowledge and Data Engineering (TKDE)IEEE/ACM Transactions on Networking (TON)IEEE Transactions on Mobile Computing (TMC)IEEE Transactions on Services Computing (TSC)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
2020: ECML-PKDD 2022: AAAI, SIGKDD, CIKM2023: SIGKDD, CIKM
External Reviewer
2018: AAAI, IJCAI2019: AAAI, IJCAI, SDM, WWW2020: IJCAI, WWW, ICML

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

Microsoft StarTrack 2021
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

Di Yao(姚迪)

Associate Professor @ ICT, CAS