中文简介

詹仙园，博士，清华智能产业研究院副研究员/副教授，曾任京东科技数据科学家，微软亚洲研究院副研究员。詹仙园博士的主要学术研究方向为基于离线深度强化学习的数据驱动能源、工业复杂系统控制优化，智能交通系统，城市计算以及复杂网络。总共发表了70余篇国际期刊、会议论文，在数据驱动决策优化及交通数据挖掘与建模研究方面取得了众多研究成果。詹仙园博士同时也在多个交通和计算机领域的国际专业期刊及会议担任审稿人，并担任中国计算机学会（CCF）人工智能与模式识别专委会（CCF-AI）委员，CCF智能汽车分会执行委员，入选2022年度百度“AI华人青年学者榜”。詹仙园博士主导了京东科技的基于强化学习的火力发电锅炉燃烧优化研发项目，并完成了产品化，并在国内多个电厂推广落地，可实现对火力发电机组的控制优化，帮助提高火力发电效率与污染减排，具有重要的经济、社会和环保价值。该产品与技术在火电行业引起了广泛关注，先后获得人民日报、中国能源报、中国青年报等十多家媒体报道。

中文简历

教育背景

普渡大学：交通工程博士，2017
普渡大学：计算机科学硕士，2016
普渡大学：交通工程硕士，2012
清华大学：土木工程学士，2011

工作经历

2024/12 - 至今: 副研究员/副教授
- 清华大学智能产业研究院（AIR）
2021/07 - 2024/12: 助理研究员/助理教授
- 清华大学智能产业研究院（AIR）
2022/10 - 至今: 双聘青年研究员
- 上海人工智能实验室
2018/01 - 2021/7: 数据科学家，资深研究员
- 京东科技，京东智能城市研究院
2017/8 - 2018/1: 副研究员
- 微软亚洲研究院
2015/5 - 2015/8: 客座研究员
- 微软亚洲研究院

荣誉及奖项

2024: ICML 2024 Multi-modal Foundation Model meets Embodied AI (MFM-EAI)研讨会杰出论文奖（获奖论文：DecisionNCE & IVM）.
2023：中国自动化学会科技进步奖二等奖
2022: 入选百度“AI华人青年学者榜”（AI+X）
2022: 吴文俊人工智能科学技术奖（科技进步奖三等奖）
2020: 2019机器之心人工智能年度奖项三十大最佳AI应用案例
2018: 2018年中国人工智能峰会（CAIS2018）创新奖
2016: James S. McDonnell Foundation (JSMF) Postdoctoral Fellowship Award in Studying Complex Systems, James S. McDonnell Foundation
2014: 普渡大学Pai Tao Yeh奖学金
2013: 普渡大学Pai Tao Yeh奖学金
2011: 第五届全国大学生交通科技大赛二等奖
2010: 清华大学金门奖学金
2009: 清华大学郑格如奖学金
2008: 清华大学金门奖学金

实践经验

2021 - 至今: 执行委员
- 中国计算机学会智能汽车分会
2018 - 至今: 委员
- 中国计算机学会人工智能及模式识别专委会（CCF-AI）
2018 - Present: 会员
- 中国计算机学会（CCF）

发表论文

预印本论文

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. arXiv:2501.10105.

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.

会议论文

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.

期刊论文

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.

书籍章节

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

专业期刊及会议审稿人

期刊编委

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

会议领域主席

Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024

会议审稿人

International Conference on Learning Representations (ICLR): ICLR 2024
Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2022 (top reviewer), 2023
International Conference on Machine Learning (ICML): ICML 2022, 2023, 2024
AAAI Conference on Artificial Intelligence: AAAI 2021, 2022, 2023
International Joint Conference on Artificial Intelligence (IJCAI): IJCAI 2023, 2024
Reinforcement Learning Conference (RLC): RLC 2024
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

期刊审稿人

ACM Transactions on Intelligent Systems and Technology (TIST)
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 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

教学经验

清华大学课程讲师

未来汽车全球公开课 (2021): Data-driven Methods for Intelligent Urban Transportation Systems

在普渡大学的助教课程

CE 597 (2015秋季学期): The Science and Business of Logistics Systems
CE 398 (2013春季学期): Introduction to Civil Engineering System Design

同济大学夏季课程讲师

夏季课程: Big Data Transportation Analytics，2016年6月，同济大学

研讨会讲师

Synthesis Workshop on “Dynamics of Structure and Functions of Complex Networks”, 2015年6月-7月, 高丽大学，韩国首尔
DeeCamp 2021, “AI赋能的医疗与健康”赛道导师，2021年6月-8月，北京

指导/共同指导学生（清华大学智能产业研究院AIR）

郑一楠（2023-至今），清华大学博士生
郑金亮（2023-至今），清华大学博士生
李健雄（2021-至今），清华大学博士生

指导实习生（清华大学智能产业研究院AIR）

王志豪（2024-至今），北京大学硕士生
刘东岫（2024-至今），北京邮电大学硕士生
郑可馨（2024-至今），香港中文大学本科生
刘腾龙（2024-至今），国防科技大学博士生
成鹏（2021-至今），北京交通大学博士生
牛浩懿（2021-至今），清华大学硕士生
毛力源（2023-2024），上海交通大学本科生
罗宇（2022-2024），清华大学博士生
嵇天颖（2022-2024），清华大学博士生
张文嘉（2021-2024），清华大学博士生
王翔森（2022-2023），北京交通大学硕士生 (当前：百度AI算法工程师)
姜力（2021-2022），清华大学硕士生 (当前：McGill University博士生)
席维叶（2021-2022），清华大学本科生 (当前：Columbia University博士生)
邱亦文（2021-2022），清华大学本科生 (当前：CMU硕士生)
王勇（2021），北京理工大学博士生

指导实习生（微软亚洲研究院 & 京东智能城市研究院）

秦慧琳 (2017-2021)，西安电子科技大学博士生 (当前：北京师范大学广州分校助理教授)
徐浩然 (2018-2021)，西安电子科技大学硕士生 (当前：UT Austin博士生)

指导实习生（微软亚洲研究院）：

秦慧琳(2017-2018)，西安电子科技大学博士生

詹仙园|Xianyuan Zhan