Lei BAI

412-16, CSE, UNSW, Barker ST, Kensington, NSW, 2052· lei.bai@student.unsw.edu.au

Lei BAI is a PhD candidate at School of Computer Science and Engineering, the University of New South Wales, Australia. He is currently supervised by Dr Lina Yao and Prof. Salil Kanhere. Lei’s research focus on Deep Learning and Robust Spatial-Temporal Pattern Discovery in Sequential data with focusing applications on Smart Cities (e.g., Traffic Forecasting), Human Pattern Recognition (e.g. EEG, Activity) and IoT Analytics.

Before joining UNSW, Lei received both his Master Degree (June 2017) and Bachelor Degree (July 2014) from Xidian University (China), supervised by Prof. Qingqi Pei.


Publications

Conference Papers

  1. Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang and Can Wang. "Spectrum-Guided Adversarial Disparity Learning", The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020. (Accepted, CORE Rank A*);
  2. Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Bin Guo, Zhiwen Yu. "Adversarial Multi-view Networks for Activity Recognition", The Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT & Ubicomp), 2020. (Accepted, CORE Rank A*);
  3. Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An. "Are You a Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction", The 2020 International Joint Conference on Neural Networks (IJCNN), 2020. (Accepted, CORE Rank A);
  4. Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yang Xiao. "Prototype Similarity Learning for Activity Recognition", The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020. (Accepted, CORE Rank A);
  5. Xuesong Wang, Lina Yao, Wei Liu, Can Li, Lei Bai, Travis Waller. "Mobility Irregularity Detection with Smart Transit Card Data", The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020. (Accepted, CORE Rank A);
  6. Can Li, Lei Bai, Wei Liu, Lina Yao, Travis Waller, "Passenger Demographic Attributes Prediction for Human-centered Public Transport", 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network (ICONIP), 2019. (Accepted, CORE Rank A);
  7. Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Michael Sheng. "STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting", The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019. (Accepted, CORE Rank A*);
  8. Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu. "Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction", The 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. (Accepted, CORE Rank A);
  9. L. Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu & X. Wang. "Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks", The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019. (Accepted, CORE Rank A);
  10. Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang, "Automatic Device Classification from Network Traffic Streams of Internet of Things", in Proceedings of 43nd IEEE conference on Local Networks (LCN), 2018. (Accepted, CORE Rank A);
  11. Lei Bai, Lina Yao, Salil S. Kanhere, "AI Creates Better City Life: Human Mobility Prediction for Smart Transportation System", UNSW Engineering Postgraduate Research Symposium, 2018, ISBN: 978-0-9953910-2-4.
  12. Zi Li, Qingqi Pei, Yao Liu, Lei Bai, "Spoofing Attacks against FM Indoor Localization", in 2016 International Conference on Networking and Network Applications (NaNA). IEEE. (Accepted).

Journal Papers

  1. Yang Xiao, Qingqi Pei, Lina Yao, Shui Yu, Lei Bai, Xianzhi Wang. "An Enhanced Probabilistic Fairness-Aware Group Recommendation by Incorporating Social Activeness", Journal of Network and Computer Applications, 2020. (Accepted);

Under Review

  1. Can Li, Lei Bai, Wei Liu, Lina Yao, Travis Waller, "Urban Mobility Analytics: A Deep Temporal-Spatial Product Neural Network for Demographics Prediction", Transportation Research Part C, 2019.
  2. Shu Wang, Fengji Luo, Lei Bai, Yingliang Li, Zhaoyang Dong, "Multi-Objective Pricing Scheme for Electric Vehicle Sharing System with Traffic Demand Prediction", IEEE Transactions on Smart Grid, 2020.
  3. Can Li, Lei Bai, Wei Liu, Lina Yao, Travis Waller, "Graph Neural Network for Robust Public Transit Demand Prediction", IEEE Transactions on Intelligent Transportation Systems, 2019.
  4. Zhe Liu, Xianzhi Wang, Lina Yao, Lei Bai, Jake An, Ee-Peng Lim, "Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding", IEEE Transactions on Services Computing, 2020.

Services

  • Reviewer, Future Generation Computer Systems, 2020
  • Subreviewer, CIKM 2020, 2020
  • Subreviewer, KDD 2020, 2020
  • Reviewer, IEEE Intelligent Systems, 2020
  • Reviewer, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (Ubicomp), 2019
  • Subreviewer, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
  • Reviewer, ACM Transactions on Sensor Networks (TOSN), 2019
  • Reviewer, IEEE Transactions on Cybernetics, 2019
  • Reviewer, IEEE Internet of Things Journal, 2019
  • Reviewer, ACM Transactions on Information Systems (TOIS), 2019
  • Reviewer, IEEE International Conference on Data Mining (ICDM), 2019
  • Reviewer, the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019
  • Reviewer, Artificial Intelligence in Medicine, 2019
  • Reviewer, ACM MULTIMEDIA (MM), 2019
  • Reviewer, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
  • Subreviewer, the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
  • Reviewer, Knowledge and Information Systems (KAIS), 2019
  • Reviewer, the 20th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2019
  • Subreviewer, the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018
  • Reviewer, the 24th International Conference on Database Systems for Advanced Applications (DASFAA), 2018
  • Reviewer, ACM/IEEE Conference on Internet of Things Design and Implementation, 2018
  • Reviewer, Computer & Security, 2018
  • Reviewer, IEEE Transactions on Services Computing (TSC), 2017

Awards

  • IJCAI 2019 Travel Grant, 2019
  • ICL-TUM Global Fellows Programme, 2019
  • UNSW Postgraduate Research Student Support (PRSS) Scholarship, 2019
  • PAKDD/MCEA Travel Grant, 2019
  • Tuition Fee Scholarship, University of New South Wales, from 2017 to 2021
  • CSC Scholarship, Chinese Scholarship Council, from 2017 to 2021
  • Excellent Postgraduate Student, Xidian University, 2017
  • The Second-Class University Scholarship, Xidian University, 2016
  • The First Award, China Information Security Technology Innovation and Entrepreneurship Competition, 2015
  • The First-Class University Scholarship, Xidian University, 2014

Supervision

  • Shan Wang, Master Project Student, Jun.2019 - Dec.2019. (co-supervised with Dr. Lina Yao)