Xiangyu Zhao   赵翔宇


                  Ph.D. Student

            Data Science and Engineering Lab
            Department of Computer Science and Engineering
            Michigan State University (MSU)


Correspondence

Email: zhaoxi35@msu.edu     zxy1105@mail.ustc.edu.cn
Office: Data Science and Engineering Lab, Engineering Building 3308, 428 South Shaw Lane, East Lansing, MI
Mail: Xiangyu Zhao, Engineering Building 3308, 428 South Shaw Lane, East Lansing, Michigan, USA, 48824
Links: [LinkedIn]     [Google Scholar]

[Biography]           [News]           [Publications]           [Services]           [Awards]           [Courses]           [Internships]           [Projects]          


Brief Biography

Xiangyu Zhao is a third-year Ph.D. student of Computer Science and Engineering at Michigan State University (MSU). His supervisor is Dr. Jiliang Tang. Before joining MSU, he completed his MS at USTC and BS at UESTC.

His current research interests include data mining and machine learning, especially (1) Deep Reinforcement Learning and its application in E-commerce; (2) Urban Computing, Human Mobility Modeling, Spatio-Temporal Data Analysis and Location-Based Social Networks; (3) Social Computing, Social Network and Complex Network Analysis.

My [CV] (updated May 2019).


News

  • 08/2019: I was invited to present our RL-based E-commerce papers at Shandong University
  • 08/2019: I was invited to present our RL-based E-commerce papers at East China Normal University
  • 07/2019: I will serve as the PC Member of AAAI'20
  • 07/2019: I was invited to present our RL-based E-commerce papers at Beijing University Of Chemical Technology
  • 07/2019: I was invited to present our RL-based E-commerce papers at TAL(好未来)
  • 06/2019: Received the KDD 2019 Student Travel Award and will serve as volunteer
  • 06/2019: 1 paper got accepted by KDD2019 workshop
  • 05/2019: I will serve as the PC Member of RL4RealLife@ICML'19
  • 05/2019: I will serve as the PC Member of NLPCC'19
  • 04/2019: Seeking for a research intern position in America starting from Sep 2019
  • 04/2019: I will serve as the PC Member of IEEE BigData'19
  • 03/2019: I will host the Workshop on Deep Reinforcement Learning for Knowledge Discovery @ KDD2019
  • 03/2019: 1 Workshop proposal got accepted by KDD2019
  • 02/2019: I will serve as the PC Member of RecSys'19
  • 02/2019: 1 survey paper got accepted by ACM SIGWEB Newsletter
  • 11/2018: Received Outstanding Master's Thesis Award from Anhui Computer Federation
  • 11/2018: I was invited to present our RL-based recommender papers at Leiphone.com(雷锋网大课堂) [Video]
  • 10/2018: Dr.Dawei Yin was invited to present our RL-based recommender papers at CAS-AMSS(中科院数学所)
  • 10/2018: Dr.Jiliang Tang was invited to present our RL-based recommender papers at Criteo, Ann Arbor
  • 10/2018: Dr.Dawei Yin was invited to present our RL-based recommender papers at Tsinghua University
  • 09/2018: Dr.Long Xia was invited to present our RL-based recommender papers at CAS-ICT(中科院计算所)
  • 08/2018: I was invited to present our RL-based recommender papers at Kuaishou(快手)
  • 08/2018: Dr.Jiliang Tang was invited to present our RL-based recommender papers at Bytedance(今日头条)
  • 07/2018: Our RL-based recommender project received the Criteo Faculty Research Award
  • 07/2018: Received the RecSys 2018 Student Travel Award and will serve as volunteer
  • 07/2018: I will serve as the PC Member of IEEE BigData'18
  • 07/2018: 1 paper got accepted by RecSys2018
  • 06/2018: Received the KDD 2018 Student Travel Award and will serve as volunteer
  • 05/2018: 1 paper got accepted by KDD2018
  • 04/2018: 1 survey paper got accepted by ACM SIGKDD Explorations Newsletter
  • 02/2018: Received the SDM 2018 Student Travel Award and will participate in the Doctoral Forum
  • 09/2017: Received the CIKM 2017 Student Travel Award
  • 09/2017: 1 paper got accepted by ICDM2017 PhD Forum
  • 08/2017: 1 paper got accepted by ICDM2017
  • 08/2017: 1 paper got accepted by CIKM2017

Selected Publications

  1. Xiangyu Zhao, Long Xia, Dawei Yin and Jiliang Tang, Model-Based Reinforcement Learning for Whole-Chain Recommendations, preprint. [PDF][BibTeX]

  2. Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang, Toward Simulating Environments in Reinforcement Learning Based Recommendations, preprint. [PDF][BibTeX]

  3. Xiangyu Zhao, Liang Zhang, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang, Deep Reinforcement Learning for List-wise Recommendations, In Proceedings of the 1st Workshop on Deep Reinforcement Learning for Knowledge Discovery (DRL4KDD'2019), Anchorage, AK, USA, August 5, 2019, accepted. [PDF][Code1][Code2][BibTeX]

  4. Xiangyu Zhao, Long Xia, Jiliang Tang and Dawei Yin, Deep Reinforcement Learning for Search, Recommendation, and Online Advertising: A Survey, ACM SIGWEB Newsletter (SIGWEB), 2019, Issue Spring: Article No.4. [PDF]

  5. Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin and Jiliang Tang, Deep Reinforcement Learning for Page-wise Recommendations, In Proceedings of the 12th ACM Recommender Systems Conference (RecSys'2018), Vancouver, Canada, October 2-7, 2018, 95-103. [PDF][Slides][Poster][BibTeX]

  6. Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang and Dawei Yin, Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning, In Proceedings of 24th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD'2018), London, UK, August 19-23, 2018, 1040-1048. [PDF][Poster][BibTeX]

  7. Xiangyu Zhao, Jiliang Tang, Crime in Urban Areas: A Data Mining Perspective, ACM SIGKDD Explorations Newsletter (SIGKDD Explorations), 2018, 20(1): 1-12. [PDF][BibTeX]

  8. Xiangyu Zhao, Jiliang Tang, Modeling Temporal-Spatial Correlations for Crime Prediction, In Proceedings of the 26th ACM International on Conference on Information and Knowledge Management (CIKM'2017), Singapore, November 6-10, 2017, 497-506. [PDF][Slides][BibTeX]

  9. Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo, Incorporating Spatio-Temporal Smoothness for Air Quality Inference, In Proceedings of the 17th International Conference on Data Mining (ICDM'2017), New Orleans, USA, November 18-21, 2017, 1177-1182. [PDF][Slides][BibTeX]

  10. Xiangyu Zhao, Jiliang Tang, Exploring Transfer Learning for Crime Prediction, In Proceedings of the 17th International Conference on Data Mining Workshops (ICDMW'2017), New Orleans, USA, November 18-21, 2017, 1158-1159. [PDF][BibTeX]

  11. Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong, Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective, In Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016), San Francisco, USA, August 13-17, 2016, 1285-1294. [PDF][Slides][Video][BibTeX]

  12. Xiangyu Zhao, Tong Xu, Qi Liu, Hao Guo, Exploring the Choice under Conflict for Social Event Participation, In Proceedings of the 21st International Conference on Database Systems for Advanced Applications (DASFAA'2016), Dallas, TX, USA, April 16-19, 2016, 396-411. [PDF][Slides][BibTeX]

  13. Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu, CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation, In Proceedings of the 9th International Conference on Knowledge Science, Engineering and Management (KSEM'2016), Passau, Germany, Oct 5-8, 2016, 613-627. [PDF][Slides][BibTeX]

  14. Xiangyu Zhao, Bin Huang, Ming Tang, Haifeng Zhang, Duanbing Chen, Identifying Effective Multiple Spreaders by Coloring Complex Networks, Europhysics Letters (EPL), 2015, 108(6): 68005. (SCI IF: 2.095) [PDF][BibTeX]

  15. Bin Huang, Xiangyu Zhao, Kai Qi, Ming Tang, Younghae Do, Coloring the Complex Networks and its Application for Immunization Strategy, Acta Physica Sinica (APS), 2013, 62(21): 218902-218902. (SCI IF: 0.845) [PDF][BibTeX]


Services

  • Conference Organizer: DRL4KDD@KDD'19.
  • Program Committee Member: AAAI'20, RecSys'19, RL4RealLife@ICML'19, NLPCC'19, DRL4KDD@KDD'19, IEEE BigData'18/19.
  • Journal Reviewer: IEEE TKDE, ACM TKDD(19), IEEE TM, IEEE BigData, Artificial Intelligence, JCST, J Softw, Physica A, PLA, etc.
  • Conference Reviewer: RecSys'16/17/18, CIKM'16/17/18/19, EMNLP'19, ASONAM'15/16/17/18/19, KDD'16/18/19, SIGIR'17/18/19, ICWSM'17/18/19, WWW'18/19, AAAI'17/18/19, WSDM'18, CHI'18, SDM'17, DASFAA'17, ICDM'16, PAKDD'16, WAIM'16, KSEM'15/16, AAAI BigData'15, etc.
  • Student Membership: IEEE, SIGIR, SIAM.
  • Conference Volunteer: RecSys'18, KDD'18/19, CCCN'11.

Honors and Awards

  • MSU:
    • 2019, KDD 2019 Student Travel Award
    • 2018, RecSys 2018 Student Travel Award
    • 2018, KDD 2018 Student Travel Award
    • 2018, SDM 2018 Student Travel Award
    • 2017, CIKM 2017 Student Travel Award
  • USTC:
    • 2018, Outstanding Master's Thesis Award of Anhui Computer Federation
    • 2017, Outstanding Graduate Award of USTC
    • 2016, National Scholarship for Graduate Students of China (highest national-wide scholarship)
    • 2016, Graduate Student First-class Academic Scholarship
    • 2015, Graduate Student First-class Academic Scholarship
    • 2014, Graduate Student First-class Academic Scholarship
  • UESTC:
    • 2014, Outstanding Graduate Award of UESTC
    • 2014, Outstanding Diploma Theses (1%)
    • 2012, First Prize of Contemporary Undergraduate Mathematical Contest in Modeling of China (Sichuan Provience Contest District)
    • 2012, First Prize (only Freshmen Team) of Mathematical Contest in Modeling (3/200)
    • 2011, Futong Scholarship (3/600)

Courses

  • Teaching Assistant, Machine Learning and Knowledge Discovery (for graduate students in USTC), Fall, 2015.

Internships


Projects