詹仙园|Xianyuan Zhan

詹仙园|Xianyuan Zhan

Research Assistant Professor at Institute for AI Industry Research (AIR), Tsinghua University

Publications

A full list of my publications can also be found on my Google Scholar profile.

Preprints

Conference Proceedings

A Policy-Guided Imitation Approach for Offline Reinforcement Learning

Published:

Accepted in Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Read more

Recommended citation: 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).

Discriminator-Guided Model-Based Offline Imitation Learning

Published:

Accepted in Conference on Robot Learning (CoRL 2022). Read more

Recommended citation: 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).

Adversarial Contrastive Learning via Asymmetric InfoNCE

Published:

Accepted in the 17th European Conference on Computer Vision (ECCV 2022). Read more

Recommended citation: 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).

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

Published:

Published in SIGKDD 2021 (KDD2021). Read more

Recommended citation: 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

Published:

Published in Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021). Read more

Recommended citation: 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

Published:

Published in World Environmental and Water Resources Congress 2017, 2017. Read more

Recommended citation: 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

Published:

Published in Proceedings of 96nd Transportation Research Board Meeting, 2017. Read more

Recommended citation: 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.

Measuring the Efficiency of Urban Taxi Service System

Published:

Published in Proceedings of the 3rd ACM SIGKDD International Workshop on Urban Computing, 2014. Read more

Recommended citation: 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

Published:

Published in 5th International Symposium on Dynamic Traffic Assignment, 2014. Read more

Recommended citation: 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

Published:

Published in Proceedings of 93nd Transportation Research Board Meeting, 2014. Read more

Recommended citation: 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

Published:

Published in Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, 2013. Read more

Recommended citation: 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

Citywide Traffic Volume Estimation Using Trajectory Data

Published:

Published in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016. Read more

Recommended citation: 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.

Peer Reviewed Book Chapters

Characterizing Urban Dynamics Using Large Scale Taxicab Data

Published:

Published in Engineering and Applied Sciences Optimization, 2015. Read more

Recommended citation: 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.