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

2024/12 - Present: Research Associate Professor
- Institute for AI Industry Research (AIR), Tsinghua University
2021/07 - 2024/12: Research Assistant Professor
- Institute for AI Industry Research (AIR), Tsinghua University
2022/10 - Present: Dual-Appointed Young Researcher
- Shanghai Artificial Intelligence Laboratory
2018/01 - 2021/07: Data Scientist, Senior Researcher
- JD Technology, JD Intelligent Cities Research
2017/8 - 2018/1: Associate Researcher
- Microsoft Research Asia
2015/5 - 2015/8: Visiting Research Fellow
- Microsoft Research Asia

Honors & Awards

2024: Outstanding Paper Awards at ICML 2024 Workshop on Multi-modal Foundation Model meets Embodied AI (MFM-EAI) (DecisionNCE and IVM).
2023: 2nd Prize of Science and Technology Progress Award of Chinese Association of Automation (CCA)
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

PhysiAgent: An Embodied Agent Framework in Physical World

Wang, Z., Li, J., Zheng, J., Zhang, W., Liu, D., Zheng, Y., Niu, H., Yu, J., Zhan, X. PhysiAgent: An Embodied Agent Framework in Physical World. ICML 2025 Workshop on New in ML.

Pushing the Limit of Sample-Efficient Offline Reinforcement Learning

Chen, P., Wu, Z., Li, J., He, Z., Xu, H., Sun, W., Lin, Y., Zhan, X. Pushing the Limit of Sample-Efficient Offline Reinforcement Learning. ICLR 2025 Workshop on World Models: Understanding, Modelling and Scaling.

xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing

Niu, H, Chen, Q., Liu, T., Li, J., Zhou, G., Zhang, Y., Hu, J., Zhan, X. xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing. NeurIPS 2024 Workshop on Open-World Agents (OWA).

A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving

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.

Offline Reinforcement Learning with Soft Behavior Regularization

Xu, H., Zhan, X., Li, J., and Yin, H. Offline Reinforcement Learning with Soft Behavior Regularization. NeurIPS 2021 Offline RL Workshop.

Conference Proceedings

Unified Reinforcement Learning through Implicit Value Regularization

Xu,H., Mao,L., Jin, H., Zhang, W., Zhan, X., Zhang, A. Unified Reinforcement Learning through Implicit Value Regularization. In the Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS 2025).

Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling

Tan,T., Zheng, Y., Liang, R., Wang, Z., Zheng, K., Zheng, J., Li, J., Zhan, X., Liu, J. Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling. In the Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS 2025).

Towards Robust Zero-Shot Reinforcement Learning

Zheng,K.,Teyssier, L., Zheng, Y., Luo, Y., Zhan, X. Towards Robust Zero-Shot Reinforcement Learning. In the Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS 2025).

Efficient Robotic Policy Learning via Latent Space Backward Planning

Liu, D., Niu, H., Wang, Z., Zheng, J., Zheng, Y., Ou, Z., Hu, J., Li, J., Zhan, X. Efficient Robotic Policy Learning via Latent Space Backward Planning. In the 42nd International Conference on Machine Learning (ICML 2025).

Universal Actions for Enhanced Embodied Foundation Models

Zheng, J., Li, J., Liu, D., Zheng, Y., Wang, Z., Ou, Z., Liu, Y., Liu, J., Zheng, Y., Zhan, X. Universal Actions for Enhanced Embodied Foundation Models. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025).

Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning

Li, J, Wang, Z., Zheng, J., Zhou, X., Wang, G., Song, G., Liu, Y., Liu, J., Zhang, Y., Zhan, X. Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning. 2025 IEEE International Conference on Robotics & Automation (ICRA 2025).

H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps

Niu, H., Ji, T., Liu, B., Zhao, H., Zhu, X., Zheng, J., Huang, P., Zhou, G., Hu, J., Zhan, X. H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps. 2025 IEEE International Conference on Robotics & Automation (ICRA 2025).

Skill Expansion and Composition in Parameter Space

Liu, T., Li, J., Zheng, Y., Niu, H., Lan, Y., Xu, X., Zhan, X. Skill Expansion and Composition in Parameter Space. In the 13th International Conference on Learning Representations (ICLR 2025).

Diffusion-Based Planning for Autonomous Driving with Flexible Guidance

Zheng, Y., Liang, R., Zheng, K., Zheng, J., Mao, L., Li, J., Gu, W., Ai, R., Li, S., Zhan, X., Liu, J. Diffusion-Based Planning for Autonomous Driving with Flexible Guidance. In the 13th International Conference on Learning Representations (ICLR 2025) (oral).

Data Center Cooling System Optimization Using Offline Reinforcement Learning

Zhan, X., Zhu, X., Cheng, P., Hu, X., He, Z., Geng, H., Leng, J., Zheng, H., Liu, C., Hong, T., Liang, Y., Liu, Y., Zhao, F. Data Center Cooling System Optimization Using Offline Reinforcement Learning. In the 13th International Conference on Learning Representations (ICLR 2025).

Are Expressive Models Truly Necessary for Offline RL?

Wang, G, Niu, H., Li, J., Jiang, L., Hu, J., Zhan, X. Are Expressive Models Truly Necessary for Offline RL? In the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025) (oral).

Instruction-Guided Visual Masking

Zheng, J., Li, J., Cheng, S., Zheng, Y., Li, J., Liu, J., Liu, Y., Liu, J., Zhan, X. Instruction-Guided Visual Masking. In the Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS 2024) (Outstanding paper award of ICML 2024 MFM-EAI Workshop).

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Mao, L., Xu, H., Zhang, W., Zhan, X., Zhang, A. Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning. In the Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS 2024).

FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning

Qin, H., Zhan, X., Li, Y., Zheng, Y. FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning. In the 27th European Conference on Artificial Intelligence (ECAI-2024).

TESLA: Thermally Safe, Load-Aware, and Energy-Efficient Cooling Control System for Data Centers

Geng, H., Sun, Y., Li, Y., Leng, J., Zhu, X., Zhan, X., Li, Y., Zhao, F., Liu, Y. TESLA: Thermally Safe, Load-Aware, and Energy-Efficient Cooling Control System for Data Centers. In the 53rd International Conference on Parallel Processing (ICPP 2024).

Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies

Luo, Y., Sun, F., Ji, T., Zhan, X. Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies. In the 1st Reinforcement Learning Conference (RLC 2024).

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning

Li, J., Zheng, J., Zheng, Y., Mao, L., Hu, X., Cheng, S., Niu, H., Liu, J., Liu, Y., Liu, J., Zhang, Y. Q., Zhan, X. DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning. In the 41st International Conference on Machine Learning (ICML 2024) (Outstanding paper award of ICML 2024 MFM-EAI Workshop).

OMPO: A Unified Framework for Reinforcement Learning under Policy and Dynamics Shifts

Luo, Y., Ji, T., Sun, F., Zhang, J., Xu, H., Zhan, X. OMPO: A Unified Framework for Reinforcement Learning under Policy and Dynamics Shifts. In the 41st International Conference on Machine Learning (ICML 2024) (oral).

Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL

Luo, Y., Ji, T., Sun, F., Zhang, J., Xu, H., Zhan, X. Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL. In the 41st International Conference on Machine Learning (ICML 2024).

Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic

Ji, T., Luo, Y., Sun, F., Zhan, X., Zhang, J., Xu, H. Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic. In the 41st International Conference on Machine Learning (ICML 2024).

A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents

Niu, H., Hu, J., Zhou, G., Zhan, X. A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents. In the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) (oral).

Query-Policy Misalignment in Preference-Based Reinforcement Learning

Hu, X., Li, J., Zhan, X., Jia, Q., and Zhang, Y. Q. Query-Policy Misalignment in Preference-Based Reinforcement Learning. In the 12th International Conference on Learning Representations (ICLR 2024)(spotlight).

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Wang, G., Cheng, S., Zhan, X., Li, X., Song, S., Liu, Y. OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. In the 12th International Conference on Learning Representations (ICLR 2024).

Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update

Mao, L., Xu, H., Zhang, W., Zhan, X. Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. In the 12th International Conference on Learning Representations (ICLR 2024)(spotlight).

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model

Zheng, Y., Li, J., Yu, D., Yang, Y., Li, S., Zhan, X., Liu, J. Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model. In the 12th International Conference on Learning Representations (ICLR 2024).

Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL

Cheng, P.*, Zhan, X.*, Wu, Z., Zhang, W., Song, S., Wang, H., Lin, Y., & Jiang, L. Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL. In the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023).

Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization

Wang, X., Xu, H., Zheng, Y., Zhan, X.. Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization. In the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023).

Mind the Gap: Offline Policy Optimization for Imperfect Rewards

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 the 11th International Conference on Learning Representations (ICLR 2023).

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

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 the 11th International Conference on Learning Representations (ICLR 2023) (oral).

When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning

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 the 11th International Conference on Learning Representations (ICLR 2023).

An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming

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).

Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization

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).

A Policy-Guided Imitation Approach for Offline Reinforcement Learning

Xu, H., Li, J., Li, J., Zhan, X.. A Policy-Guided Imitation Approach for Offline Reinforcement Learning. In the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022) (oral).

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning

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 the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022) (spotlight).

Discriminator-Guided Model-Based Offline Imitation Learning

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).

ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants

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).

Adversarial Contrastive Learning via Asymmetric InfoNCE

Yu, Q., Lou, J., Zhan, X., Li, Q., Liu, J., Zuo W. and Liu, Y. Adversarial Contrastive Learning via Asymmetric InfoNCE. In the 17th European Conference on Computer Vision (ECCV 2022).

Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations

Xu, H., Zhan, X., Yin, H. and Qin, H. Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations. In the 39th International Conference on Machine Learning (ICML 2022).

Model-Based Offline Planning with Trajectory Pruning

Zhan, X., Zhu, X. and Xu, H. Model-Based Offline Planning with Trajectory Pruning. In the 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 3695-3701.

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning

Zhan, X., Xu, H., Zhang, Y., Zhu, X. and Yin, H. DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. In the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022).

Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning

Xu, H., Zhan, X., and Zhu, X. Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning. In the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022).

Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning

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.

Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning

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.

Evolution of Complex Network Topologies in Urban Water Infrastructure

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.

Activity Chain Inference Using Travel Survey and Mobile Phone data

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.

A Probabilistic Urban Link Travel Time Estimation Model Using Large-scale Taxi Trip Data

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.

Measuring the Efficiency of Urban Taxi Service System

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.

Multi-User Class, Simultaneous Route and Departure Time Choice Dynamic Traffic Assignment with an Embedded Spatial Queuing Model

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.

Characterizing Urban Dynamics Using Large Scale Taxicab Data

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.

Understanding Urban Human Activity and Mobility Patterns Using Large-scale Location-based Data from Online Social Media

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

Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning

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.

CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System

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).

Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics

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.

Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data

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.

Spatial Dependency of Urban Sprawl and the Underlying Road Network Structure

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.

A Century of Topological Co-Evolution of Complex Infrastructure Networks in an Alpine City

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.

A-Rescue 2.0: A High Fidelity, Parallel, Agent-based Evacuation Simulator

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.

Dynamics of Functional Failures and Recovery in Complex Road Networks

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.

Simulation of Hard Shoulder Running Combined with Queue Warning During Traffic Accident with CTM model

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.

Speed Profile Estimation Using License Plate Recognition Data

Mo, B., Li, R., Zhan, X., 2017. Speed Profile Estimation Using License Plate Recognition Data. Transportation Research Part C: Emerging Technology, 82, 358–378.

Multiclass, Simultaneous Route and Departure Time Choice Dynamic Traffic Assignment with an Embedded Spatial Queuing Model

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.

Generic Patterns in the Evolution of Urban Water Networks: Evidence from a Large Asian City

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.

Citywide Traffic Volume Estimation Using Trajectory Data

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.

Determining the Impact of Personal Mobility Carbon Allowance Schemes in Transportation Networks

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.

A-RESCUE: An Agent-based Regional Evacuation Simulator Coupled with User Enriched Behavior

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.

Understanding Social Influence in Activity-Location Choice and Life-Style Patterns Using Geo-location Data from Social Media

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.

A Graph Based Approach to Measure the Efficiency of Urban Taxi Service System

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.

A Bayesian Mixture Model for Short-term Average Link Travel Time Estimation Using Large-scale Limited Information Trip-based Data

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.

Direct Transportation Economic Impacts of Highway Networks Disruptions Using Public Data from United States

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.

An Efficient Parallel Sampling Technique for Multivariate Poisson-Lognormal Model: Analysis with Two Crash Count Datasets

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.

Lane-based Real Time Queue Length Estimation Using License Plate Recognition Data

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.

Inferring Urban Land Use Using Large-Scale Social Media Check-in Data

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.

Exploring Crisis Informatics Using Social Media Data: A Study on 2013 Oklahoma Tornado

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.

Urban Link Travel Time Estimation Using Large-scale Taxi Data with Partial Information

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

Characterizing Urban Dynamics Using Large Scale Taxicab Data

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.

Checking the Urban Pulse: Social Media Data Analytics for Transportation Applications

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.

A Bayesian Mixture Model for Short-term Average Link Travel Time Estimation Using Large-scale Limited Information Trip-based Data

November 01, 2015

Talk at INFORMS 2015, Philadelphia, US

Professional Activities

Member of Editorial Board

Frontiers in Built Environment - Transportation and Transit Systems: Review Editor
Journal of Big Data Analytics in Transportation

Organization Committee Member of Conferences

2025 Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025): Spotlight and Poster Chair
FISITA Intelligent Safety Conference China (ISCC 2024, 2025): Technical Committee Member

Area Chair / Senior Program Committee (SPC) of Conferences

Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024, 2025
International Conference on Learning Representations (ICLR): ICLR 2026
AAAI Conference on Artificial Intelligence (AAAI): AAAI 2026

Reviewer of Conferences

International Conference on Learning Representations (ICLR): ICLR 2024, 2025
Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2022 (top reviewer), 2023
International Conference on Machine Learning (ICML): ICML 2022, 2023, 2024, 2025
AAAI Conference on Artificial Intelligence: AAAI 2021, 2022, 2023, 2024, 2025
International Joint Conference on Artificial Intelligence (IJCAI): IJCAI 2023, 2024
International Conference on Artificial Intelligence and Statistics (AISTATS): AISTATS 2025
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): KDD 2025
IEEE International Conference on Robotics and Automation (ICRA): ICRA 2023, 2024
Reinforcement Learning Conference (RLC): RLC 2024, 2025
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

Reviewer of Journals

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Artificial Intelligence (TAI)
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 Transactions on Green Communications and Networking (TGCN)
IEEE Transactions on Automation Science and Engineering (T-ASE)
IEEE Transactions on Cloud Computing (TCC)
IEEE Transactions on Industrial Informatics
IEEE Signal Processing Letters
IEEE Internet of Things Journal
IEEE Journal of Biomedical and Health Informatics
IEEE Access
ACM Transactions on Intelligent Systems and Technology (TIST)
Science China Information Sciences
Expert Systems With Applications
Engineering Applications of Artificial Intelligence
Computers & Industrial Engineering
Frontiers of Computer Science
Robotica
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
Scientific Report
PLOS ONE
European Journal of Operational Research
Network and Spatial Economics
Transportation
Journal of Advanced Transportation
Environment and Planning B: Urban Analytics and City Science
IET Intelligent Transport Systems
Applied Energy
Sustainable Energy, Grids and Networks
Journal of Electrical Power and Energy Systems
Journal of Physics: Complexity
Nuclear Science and Techniques

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

Advised/Co-Advised Students at Tsinghua University

Yinan Zheng (2023-present), PhD student at Tsinghua University, China
Jinliang Zheng (2023-present), PhD student at Tsinghua University, China
Jianxiong Li (2021-present), PhD student at Tsinghua University, China

Students and Supervised Interns at Tsinghua University

Zhihao Wang (2024-present), Master student at Peking University, China
Dongxiu Liu (2024-present), Master student at Beijing University of Posts and Telecommunications, China
Kexin Zheng (2024-present), Undergraduate student at the Chinese University of Hong Kong
Tenglong Liu (2024-present), PhD student at National University of Defense Technology, China
Peng Cheng (2021-present), PhD student at Beijing Jiaotong University, China
Haoyi Niu (2021-present), Master student at Tsinghua University, China
Liyuan Mao (2023-2024), Undergraduate student at Shanghai Jiao Tong University, China
Yu Luo (2022-2024), PhD student at Tsinghua University, China
Tianying Ji (2022-2024), PhD student at Tsinghua University, China
Wenjia Zhang (2021-2024), PhD student at Tsinghua University, China
Xiangsen Wang (2022-2023), Master student at Beijing Jiaotong University, China (Current: Algorithm Engineer at Baidu Inc)
Jiang Li (2021-2022), Master student at Tsinghua University, China (Current: PhD student at McGill University, Canada)
Weiye Xi (2021-2022), Undergraduate student at Tsinghua University, China (Current: PhD student at Columbia University, USA)
Yiwen Qiu (2021-2022), Undergraduate student at Tsinghua University (Current: Master student at Carnegie Mellon University, USA)
Yong Wang (2021), PhD student at Beijing Institute of Technology, China

Supervised Interns at Microsoft Research Asia & JD Intelligent Cities Research

Huilin Qin (2017-2021), PhD student at Xidian University, China (Current: Assistant Professor at Beijing Normal University, Zhuhai)
Haoran Xu (2018-2021), Master student at Xidian University, China (Current: PhD student at UT Austin, USA)

詹仙园|Xianyuan Zhan

CV