• Hi!
    I am Guanjie

    AI researcher @ SJTU

About Me

Hi I'm Guanjie Zheng!

I will join John Hopcroft Center for Computer Science at Shanghai Jiao Tong University as an assitant professor starting Fall 2020. I obtained my Ph. D. degree from the College of Information Sciences and Technology , The Pennsylvania State University , in 2020. My advisor is Prof. Zhenhui (Jessie) Li. Before that, I received my Bachelor degree in Electrical Engineering from Shanghai Jiao Tong University in 2015.

My research interest is data-driven intelligent decision making, and its application on spatial temporal data.

I am actively recruiting self-motivated undergraduate and graduate students to conduct exciting research on data-driven decision making and spatial temporal data mining problems. Prospective students are welcome to drop me an email with your CV here .

Publication

Conferences publication

* means equal contribution

17. Guanjie Zheng*, Chang Liu*, Hua Wei, Chacha Chen, Zhenhui Li. Rebuilding City-Wide Traffic Origin Destinationfrom Road Speed Data. In Proceedings of the 2021 IEEE 37th International Conference on Data Engineering (ICDE 2021).

16. Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng and Yong Yu. GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management (CIKM 2020).

15. Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li. Learning to Simulate on Sparse Trajectory Data. In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020), Ghent, Belgium, September 2020.

14. Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu and Zhenhui Li. Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control, in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, New York, Februray 2020.

13. Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li. MetaLight: Value-based Meta-reinforcement Learning for Traffic Signal Control, in Proceeding of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, New York, Februray 2020.

12. Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, and Zhenhui Li. Learning Phase Competition for Traffic Signal Control, in Proceedings of the 2019 ACM on Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, November 2019. paper code

11. Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, and Zhenhui Li. CoLight: Learning Network-level Cooperation for Traffic Signal Control, in Proceedings of the 2019 ACM on Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, November 2019. paper code

10. Yuanhao Xiong, Guanjie Zheng, Kai Xu, and Zhenhui Li. Learning Traffic Signal Control from Demostrations, in Proceedings of the 2019 ACM on Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, November 2019. paper code

9. Guanjie Zheng*, Hanyang Liu*, Kai Xu, and Zhenhui Li. Learning to Simulate Vehicle Trajectories from Demonstrations, in Proceedings of the 2020 IEEE 36th International Conference on Data Engineering (ICDE 2020) (short), Dallas, TX, April 2020. paper

8. Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu and Zhenhui Li, PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, AK, USA, Aug 2019. paper code

7. Nan Xu, Guanjie Zheng, Kai Xu, Yanmin Zhu, Zhenhui Li. Targeted Transfer ReinforcementLearning for Traffic Signal Control in a Hierarchical Framework, in Proceeding of the 23rd Pacific-AsiaConference on Knowledge Discovery and Data Mining (PAKDD 2019), Macau, China, April 2019. paper

6. Huaxiu Yao*, Xianfeng Tang*, Hua Wei, Guanjie Zheng, Zhenhui Li. Revisiting Spatial-Temporal Similar-ity: A Deep Learning Framework for Traffic Prediction, in Proceeding of the Thirty-Third AAAI Conferenceon Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, Janurary 2019. paper

5. Hua Wei*, Guanjie Zheng*, Huaxiu Yao, and Zhenhui Li. Intellilight: A reinforcement learning approach for intelligent traffic light control. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'18), London, United Kingdom, August 2018. paper slides code video

4. Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, Zhenhui Li, DRN: A Deep Reinforcement Learning Framework for News Recommendation, in Proceedings of the 2018 the Web Conference (WWW'18), Lyon, France, April 2018. paper slides

3. Guanjie Zheng, Susan L. Brantley, Thomas Lauvaux, Zhenhui Li, Contextual Spatial Outlier Detection with Metric Learning, in Proceedings of the 2017 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), Halifax, Nova Scotia, Aug 2017. paper poster video code

2. Guanjie Zheng, Fei Wu, Matthew Gonzales, Susan L. Brantley, Thomas Lauvaux, Zhenhui Li, Assessing Environmental Impacts of Shale-gas Development in an Area of Hydraulic Fracturing, KDD 2017: DATA SCIENCE FOR INTELLIGENT FOOD, ENERGY, AND WATER workshop (DSIFER'17), Halifax, Nova Scotia, Aug 2017. paper

1. Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, and Thomas Lauvaux, Discovery of Causal Time Intervals, in Proceedings of the 2017 SIAM International Conference on Data Mining (SDM'17), Houston, TX, May 2017. paper code

Journal publication

2. Anna K. Wendt, Todd Sowers, Scott Hynek, Jacob Lemon, Erika Beddings, Guanjie Zheng, ZhenhuiLi, Jennifer Z. Williams, and Susan L. Brantley. ā€¯ScientistNonscientist Teams Explore Methane Sources inStreams Near Oil/Gas Development.ā€¯ Journal of Contemporary Water Research Education

1. Tao Wen, Xianzeng Niu, Matthew Gonzales, Guanjie Zheng, Zhenhui Li, and Susan L. Brantley, Biggroundwater data sets reveal possible rare contamination amid otherwise improved water quality for someanalytes in a region of Marcellus Shale development. Environmental science technology

Preprints

3. Guanjie Zheng, Mengqi Liu, Tao Wen, Hongjian Wang, Huaxiu Yao, Susan L Brantley, Zhenhui Li. Targeted Source Detection for Environmental Data. arXiv preprint arXiv:1908.11056 (2019). paper

2. Guanjie Zheng, Xinshi Zang, Nan Xu, Hua Wei, Zhengyao Yu, Vikash Gayah, Kai Xu, and Zhenhui Li. "Diagnosing Reinforcement Learning for Traffic Signal Control." arXiv preprint arXiv:1905.04716 (2019). paper

1. Hua Wei, Guanjie Zheng, Vikash Gayah, and Zhenhui Li. "A Survey on Traffic Signal Control Methods." arXiv preprint arXiv:1904.08117 (2019). paper

Experience

Work Experience

Research Intern @ Twitter June 2019 - August 2019

Rreinforcement Learning for Real Time Bidding (RTB).

Research Intern @ Tianrang Inc. May 2018 - August 2018

Reinforcement Learning for Traffic Signal Control.

Research Intern @ Microsoft Research Asia May 2017 - August 2017

Reinforcement Learning for News Recommendation.

Engineering Intern @ Intel April 2015 - June 2015

Driver Development for Windows Tablets.

Get in Touch

Contact

SEIEE Building, Shanghai Jiao Tong University

800 Dongchuan Road, Shanghai, 200240, China