CV
Curriculum Vitae Download
Education
- Ph.D in Transportation Systems, Civil Engineering, Purdue University, 2017
- M.S. in Computer Science, Purdue University, 2016
- M.S.E. in Transportation Systems, Civil Engineering, Purdue University, 2012
- B.E. in Civil Engineering, Tsinghua University, 2011
Work experience
- 2021/07 - Present: Research Assistant Professor
- Institute for AI Industry Research (AIR)
- Tsinghua University
- Beijing, China
- 2018/01 - 2021/07: Data Scientist, Senior Researcher
- JD Technology
- JD iCity, JD Intelligent Cities Research
- Beijing, China
- 2017/8 - 2018/1: Associate Researcher
- Microsoft Research Asia
- Urban Computing Group
- Beijing, China
- 2015/5 - 2015/8: Visiting Research Fellow
- Microsoft Research Asia
- Urban Computing Group
- Beijing, China
- 2011/8 - 2017/8: Research Assistant
- Purdue University
- Lyles School of Civil Engineering
- West Lafayette, US
- 2009/6 - 2011/1: Research Assistant
- Tsinghua University
- 3S (GNSS/RS/GIS) Research Center
- Beijing, China
Honors & Awards
- 2022: Selected as the “Global Top Chinese Young Scholars in Artificial Intelligence (AI+X)” by Baidu
- 2022: 3rd Prize of Wu Wen Jun AI Science & Technology Award
- 2020: 2019 Synced Machine Intelligence Awards: 30 Best AI Use Cases of the Year, SYNCED
- 2018: Artificial Intelligence Innovation Award, CAIS 2018
- 2016: James S. McDonnell Foundation (JSMF) Postdoctoral Fellowship Award in Studying Complex Systems, James S. McDonnell Foundation
- 2014: Pai Tao Yeh Fellowship, Purdue University
- 2013: Pai Tao Yeh Fellowship, Purdue University
- 2011: 2nd Prize of Fifth National Competition of Transport Science and Technology for Students, China
- 2010: Gammon Scholarship, Tsinghua University
- 2009: Zheng Ge Ru Scholarship, Tsinghua University
- 2008: Gammon Scholarship, Tsinghua University
Service and leadership
- 2018 - Present: Committee Member
- Technical Committee on Artificial Intelligence & Pattern Recognition of China Computer Federation (CCF-AI)
- 2020 - Present: Member
- Institute of Electrical and Electronics Engineers (IEEE)
- 2018 - Present: Member
- China Computer Federation (CCF)
Publications
Preprints
Wang, G., Niu, H., Zhu, D., Hu, J., Zhan, X., and Zhou, G. A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving. NeurIPS 2022 Reinforcement Learning for Real Life (RL4RealLife) Workshop.
Xu, H., Zhan, X., Li, J., and Yin, H. Offline Reinforcement Learning with Soft Behavior Regularization. NeurIPS 2021 Offline RL Workshop.
Conference Proceedings
Li, J., Hu, X., Xu, H., Liu, J., Zhan, X., Jia, Q., and Zhang, Y. Q. Mind the Gap: Offline Policy Optimization for Imperfect Rewards. In 11th International Conference on Learning Representations (ICLR 2023).
Xu, H., Jiang, L., Li, J., Yang, Z., Wang, Z., Chan, V., W., K., and Zhan, X.. Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. In 11th International Conference on Learning Representations (ICLR 2023) (oral).
Li, J., Zhan, X., Xu, H., Zhu, X., Liu, J., and Zhang, Y. Q. When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning. In 11th International Conference on Learning Representations (ICLR 2023).
Jiang, L., Wang, X., Yang, A., Wang, X., Jin, X., Wang, W., Ye, X., Ouyang, Y., and Zhan, X.. An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming. In IEEE International Conference on Communications (ICC 2023).
Wang, X., and Zhan, X.. Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization. In International Conference on Autonomous Agents and Multiagent Systems 2023 (AAMAS 2023) (Extended Abstract).
Xu, H., Li, J., Li, J., Zhan, X.. A Policy-Guided Imitation Approach for Offline Reinforcement Learning. In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022) (oral).
Niu, H., Sharma, S., Qiu, Y., Li, M, Zhou G., Hu, J., Zhan, X.. When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning. In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022).
Zhang, W., Xu, H., Niu, H., Cheng, P, Li, M., Zhang, H., Zhou G., Zhan, X.. Discriminator-Guided Model-Based Offline Imitation Learning. In Conference on Robot Learning (CoRL 2022).
Liu, S., Weng, D., Tian, Y., Deng, Z., Xu, H., Zhu, X., Yin, H., Zhan, X., Wu, Y. ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants. In IEEE Visualization Conference (VIS 2022).
Yu, Q., Lou, J., Zhan, X., Li, Q., Liu, J., Zuo W. and Liu, Y. Adversarial Contrastive Learning via Asymmetric InfoNCE. In 17th European Conference on Computer Vision (ECCV 2022).
Xu, H., Zhan, X., Yin, H. and Qin, H. Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations. In 39th International Conference on Machine Learning (ICML 2022).
Zhan, X., Zhu, X. and Xu, H. Model-Based Offline Planning with Trajectory Pruning. In 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 3695-3701.
Zhan, X., Xu, H., Zhang, Y., Zhu, X. and Yin, H. DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022).
Xu, H., Zhan, X., and Zhu, X. Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning. In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022).
Qin, H., Zhan, X., Li, Y., Yang, X. and Zheng, Y. Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21), August 14–18, 2021, Virtual Event, Singapore. ACM, New York, NY, USA. https://doi.org/10.1145/3447548.3467424.
Qin, H., Ke, S., Yang, X., Xu, H., Zhan, X. and Zheng, Y. Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning. In Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4312-4319, 2021.
Zischg, J., Klinkhamer, C., Zhan, X., Krueger, E., Ukkusuri, S., Rao, P. S. C., Rauch, W. and Sitzenfrei, R. Evolution of Complex Network Topologies in Urban Water Infrastructure. In World Environmental and Water Resources Congress, Sacramento, May 2017.
Yang, C., Zhang, Y., Zhan, X., Ukkusuri, S. V., and Qiu, W. Activity Chain Inference Using Travel Survey and Mobile Phone data. In Proceedings of Transportation Research Board Meeting, Washington D.C., January 2017.
Zhan, X., Ukkusuri, S. V. A Probabilistic Urban Link Travel Time Estimation Model Using Large-scale Taxi Trip Data. In Proceedings of 94th Transportation Research Board Meeting, Washington D.C., January 2015.
Zhan, X., Qian, X., Ukkusuri, S. V. Measuring the Efficiency of Urban Taxi Service System. In Proceedings of the 3rd ACM SIGKDD International Workshop on Urban Computing, New York, August 2014.
Zhan, X., Ukkusuri, S. V.. Multi-User Class, Simultaneous Route and Departure Time Choice Dynamic Traffic Assignment with an Embedded Spatial Queuing Model. 5th International Symposium on Dynamic Traffic Assignment. Salerno, Italy, June, 2014.
Qian, X., Zhan, X., Ukkusuri, S. Characterizing Urban Dynamics Using Large Scale Taxicab Data. In Proceedings of 93nd Transportation Research Board Meeting, Washington D.C., January 2014.
Hasan, S., Zhan, X., and Ukkusuri, S. V. Understanding Urban Human Activity and Mobility Patterns Using Large-scale Location-based Data from Online Social Media. Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, August, 2013.
Journal Publications
Feng, X., Jiang, L., Yu, X., Xu, H., Sun, X., Wang, J., Zhan, X. and Chan, W. K., 2023. Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning. In IEEE Transactions on Games.
Qin, H., Zhan, X., and Zheng, Y., 2022. CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System. In IEEE Transactions on Knowledge and Data Engineering (TKDE).
Yang, C., Zhang, Y., Zhan, X., Ukkusuri, S. V. and Chen, Y., 2020. Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics. Journal of Advanced Transportation, 2020, 5321385.
Zhan, X., Li, R., and Ukkusuri, S. V., 2020. Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data. Transportation Research Part C: Emerging Technologies, 117, 102660.
Zhan, X., and Ukkusuri, S. V., 2019. Spatial Dependency of Urban Sprawl and the Underlying Road Network Structure. Journal of Urban Planning and Development, 145(4), 04019014.
Zischg, J., Klinkhamer, C., Zhan, X., Rao, S. C., and Sitzenfrei, R., 2019. A Century of Topological Co-Evolution of Complex Infrastructure Networks in an Alpine City. Complexity, 2019, 2096749.
Gehlot, H., Zhan, X., Qian, X., Thompson, C., Kulkarni, M. and Ukkusuri, S. V., 2018. A-Rescue 2.0: A High Fidelity, Parallel, Agent-based Evacuation Simulator. Journal of Computing in Civil Engineering, 33(2), 04018059.
Zhan, X., Ukkusuri, S. V., and Rao, S. C., 2017. Dynamics of Functional Failures and Recovery in Complex Road Networks. Physical Review E, 96(5), 052301.
Li, R. Ye, Z., Li. B. and Zhan, X., 2017. Simulation of Hard Shoulder Running Combined with Queue Warning During Traffic Accident with CTM model. IET Intelligent Transport Systems, 11(9), 553-560.
Mo, B., Li, R., Zhan, X., 2017. Speed Profile Estimation Using License Plate Recognition Data. Transportation Research Part C: Emerging Technology, 82, 358–378.
Zhan, X., and Ukkusuri, S. V., 2019. Multiclass, Simultaneous Route and Departure Time Choice Dynamic Traffic Assignment with an Embedded Spatial Queuing Model. Transportmetrica B: Transport Dynamics, 7:1, 124-146.
Kreuger, E., Klinkhamer, C., Urich C., Zhan, X., and Rao, S. C., 2017. Generic Patterns in the Evolution of Urban Water Networks: Evidence from a Large Asian City. Physical Review E, 95(3), 032312.
Zhan, X., Zheng, Y., Yi, X., and Ukkusuri, S. V., 2016. Citywide Traffic Volume Estimation Using Trajectory Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(2), 272-285.
Aziz, H. M., Ukkusuri, S., Zhan, X., 2016. Determining the Impact of Personal Mobility Carbon Allowance Schemes in Transportation Networks. Network and Spatial Economics, 17(2), 505-545.
Ukkusuri, S., Hasan, S., Doan, K., Luong, B., Zhan, X., Murray-Tuite, P., Yin, W., 2016. A-RESCUE: An Agent-based Regional Evacuation Simulator Coupled with User Enriched Behavior. Network and Spatial Economics, 17(1), 197-223.
Hasan, S., Ukkusuri, S., Zhan, X., 2016. Understanding Social Influence in Activity-Location Choice and Life-Style Patterns Using Geo-location Data from Social Media. Frontiers in ICT, 3:10.
Zhan, X., Qian, X., Ukkusuri, S. V., 2016. A Graph Based Approach to Measure the Efficiency of Urban Taxi Service System. IEEE Transactions on Intelligent Transportation Systems, 17(9), 2479-2489.
Zhan, X., Ukkusuri, S., V., Yang, C., 2016. A Bayesian Mixture Model for Short-term Average Link Travel Time Estimation Using Large-scale Limited Information Trip-based Data. Automation in Construction, 72(3), 237-246.
Mesa-Arango, R., Zhan, X., Ukkusuri, S. V., Mitra, A., 2016. Direct Transportation Economic Impacts of Highway Networks Disruptions Using Public Data from United States. Journal of Transportation Safety & Security, 8(1), 36-55.
Zhan, X., Aziz, H. M., Ukkusuri, S. V., 2015. An Efficient Parallel Sampling Technique for Multivariate Poisson-Lognormal Model: Analysis with Two Crash Count Datasets. Analytic Methods in Accident Research, 8, 45-60.
Zhan, X., Li, R., Ukkusuri, S. V., 2015. Lane-based Real Time Queue Length Estimation Using License Plate Recognition Data. Transportation Research Part C: Emerging Technology, 57, 85-102.
Zhan, X., Ukkusuri, S., V., Zhu, F., 2014. Inferring Urban Land Use Using Large-Scale Social Media Check-in Data. Network and Spatial Economics, 14, 647-667.
Ukkusuri, S., Zhan, X., Sadri A., Ye, Q., 2013. Exploring Crisis Informatics Using Social Media Data: A Study on 2013 Oklahoma Tornado. Transportation Research Record, 2459, 110-118.
Zhan, X., Hasan, S., Ukkusuri, S. V., Kamga, C., 2013. Urban Link Travel Time Estimation Using Large-scale Taxi Data with Partial Information. Transportation Research Part C: Emerging Technologies, 33, 37-49.
Peer Reviewed Book Chapters
Qian, X, Zhan, X., Ukkusuri, S. V. Characterizing Urban Dynamics Using Large Scale Taxicab Data. Engineering and Applied Sciences Optimization: Vol. 38, 17-32, Springer International Publishing, 2015.
Ukkusuri, S. V., Hasan, S., and Zhan, X.. Checking the Urban Pulse: Social Media Data Analytics for Transportation Applications. Best Practices for Transportation Agency Use of Social Media Data. Taylor and Francis/CRC Press, 2013.
Talks
August 29, 2022
Talk at Didi Tech Salon, Beijing China
April 19, 2022
Talk at Haomo AI Day, Beijing China
February 23, 2022
Talk at Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), Online
August 30, 2021
Talk at TalkRL: The Reinforcement Learning Podcast, online
June 11, 2021
Talk at DeeCamp 2021, online
March 31, 2021
Talk at University of Central Florida, online
October 13, 2020
Talk at IEEE Services - Industry Symposium, Online
November 01, 2019
Talk at Tsinghua University, Beijing, China
December 01, 2018
Talk at Tsinghua University, Beijing, China
October 01, 2018
Talk at Smart Cities and Urban Computing Forum, China National Computer Congress (CNCC 2018), Hangzhou, China
July 01, 2018
Talk at 3rd Workshop on Applications of the Mathematical Modeling in Enterprises, University of Chinese Academy of Sciences, Beijing, China
September 01, 2017
Talk at Tsinghua University, Beijing, China
November 01, 2016
Talk at INFORMS 2016, Nashville, US
November 01, 2016
Talk at INFORMS 2016, Nashville, US
August 01, 2016
Talk at Resilience Week 2016, Chicago, Illinois
March 01, 2016
Talk at 4th International Symposium on Water, Feedbacks, and Complexity, Purdue University, West Lafayette, Indiana
November 01, 2015
Talk at INFORMS 2015, Philadelphia, US
November 01, 2015
Talk at INFORMS 2015, Philadelphia, US
August 01, 2014
Talk at KDD 2014 International Workshop on Urban Computing, New York, US
April 01, 2014
Talk at MPE 2013+ Workshop on Sustainable Human Environments, Rutgers University, New Brunswick, New Jersey
October 01, 2013
Talk at INFORMS 2013, Minneapolis, Minnesota
October 01, 2013
Talk at INFORMS 2013, Minneapolis, Minnesota
Research Projects
March 01, 2022
Research projects at Institute of AI Industry Research (AIR), Tsinghua University, Beijing, China
July 01, 2021
Research projects at Institute of AI Industry Research (AIR), Tsinghua University, Beijing, China
January 01, 2018
Research projects at JD Intelligent Cities Research, Beijing, China
January 01, 2018
Research projects at JD Intelligent Cities Research, Beijing, China
September 01, 2017
Research projects at Microsoft Research Asia, Beijing, China
May 01, 2015
Research projects at Microsoft Research Asia, Beijing, China
January 01, 2015
Research projects at Purdue University, West Lafayette, Indinana, US
January 01, 2014
Research projects at Purdue University, West Lafayette, Indinana, US
January 01, 2012
Research projects at Purdue University, West Lafayette, Indinana, US
January 01, 2012
Research projects at Purdue University, West Lafayette, Indinana, US
Professional Activities
Member of Editorial Board
- Frontiers in Built Environment - Transportation and Transit Systems: Review Editor
- Journal of Big Data Analytics in Transportation
Reviewer of Journals
- ACM Transactions on Intelligent Systems and Technology (TIST)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- IEEE Transactions on Big Data (TBD)
- IEEE Transactions on Knowledge Discovery from Data (TKDD)
- IEEE Transactions on Intelligent Transportation Systems (ITS)
- IEEE Transactions on Systems, Man and Cybernetics: Systems (SMC)
- IEEE Transactions on Mobile Computing (TMC)
- IEEE Signal Processing Letters
- IEEE Access
- Expert Systems With Applications
- Transportation Research Part A: Policy and Practice
- Transportation Research Part B: Methodological
- Transportation Research Part C: Emerging Technologies
- Transportation Research Part D: Transport and Environment
- Transportmetrica B: Transport Dynamics
- European Journal of Operational Research
- Network and Spatial Economics
- PLOS ONE
- Transportation
- Journal of Advanced Transportation
- Environment and Planning B: Urban Analytics and City Science
- IET Intelligent Transport Systems
- Journal of Physics: Complexity
Reviewer of Conferences
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2022 (top reviewer verification)
- International Conference on Machine Learning (ICML): ICML 2022
- AAAI Conference on Artificial Intelligence: AAAI 2021, 2023
- IEEE International Conference on Robotics and Automation (ICRA): ICRA 2023
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): IROS 2022
- China Conference on Data Mining (CCDM): CCDM 2021, 2022
- IEEE International Conference on Intelligent Transportation (ITSC)
- IEEE Conference on Decision and Control
- Transportation Research Board Annual Meeting
Teaching
Courses as Teaching Assistant at Purdue
- CE 597 (Fall 2015): The Science and Business of Logistics Systems
- CE 398 (Spring 2013): Introduction to Civil Engineering System Design
Co-Instructor of a Summer Course, Tongji University
- Summer Course: Big Data Transportation Analytics
Instructor at Workshop
- Synthesis Workshop on “Dynamics of Structure and Functions of Complex Networks”, Jun. - Jul. 2015, Korea University, Seoul, South Korea
- DeeCamp 2021, Mentor, Jun. - Aug. 2021., Beijing
Students and Supervised Interns at Tsinghua University
- Jianxiong Li (2021-present), PhD student at Tsinghua University, China
- Wenjia Zhang (2021-present), PhD student at Tsinghua University, China
- Peng Cheng (2021-present), PhD student at Beijing Jiaotong University, China
- Haoyi Niu (2021-present), Master student at Tsinghua University, China
- Xiangsen Wang (2022-present), Master student at Beijing Jiaotong University, China
- Weiye Xi (2021-2022), Undergraduate student at Tsinghua University, China
- Jiang Li (2021-2022), Master student at Tsinghua University, China
- Yong Wang (2021), PhD student at Beijing Institute of Technology, China
Supervised Interns at JD Intelligent Cities Research
- Huilin Qin (2018-2021), PhD student at Xidian University, China
- Haoran Xu (2018-2021), Master student at Xidian University, China
- Yixian Li (2018), Master student at Northeastern University, China
Supervised Interns at Microsoft Research Asia
- Huilin Qin (2017-2018), PhD student at Xidian University, China
Supervised Exchange Undergraduate Students at Purdue
- Jingxing Wang (Jan. - Feb. 2015), from Tsinghua University, China
- Xiaodong Qian (Jun. - Sep. 2015), from Tsinghua University, China
- Victorial Mutran (Jul. - Aug. 2015), from Universidade do Estado do Pará, Brazil