Hui Li (李辉)

I am a PhD student in Database group, advised by Prof. Nikos Mamoulis. My current research interest is scalable and feasible recommender systems, which lies in the intersection of data management and artificial intelligence. I also work on graph database, graphical models and relational machine learning for knowledge graphs.

I was with Prof. Amol Deshpande at University of Maryland, College Park from Aug 2015 to Jan 2016 and Prof. Rainer Gemulla at University of Mannheim from Apr 2017 to Aug 2017. I was doing an internship with Dr. Mathias Niepert in Systems and Machine Learning group, NEC Laboratories Europe during Sep-Dec 2017.

• PC Member: SIGIR 2015, 2016, 2017 (short paper)
• Reviewer: TKDE
• External Reviewer: KDD, VLDB, ICDE, etc.

1. On Multi-Relational Link Prediction with Bilinear Models
   

   Yanjie Wang, Rainer Gemulla and Hui Li

   In AAAI, 2018. [arXiv]

2. Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core
   

   Danghao Ding, Hui Li, Zhipeng Huang, Nikos Mamoulis

   In CIKM, 2017. [pdf]

3. FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems
   

   Hui Li, Tsz Nam Chan, Man Lung Yiu and Nikos Mamoulis

   In SIGMOD, 2017. [pdf] [slides] [code] [poster]

4. HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation
   

   Ziyu Lu, Hui Li, Nikos Mamoulis, and David W. Cheung

   In SDM, 2017. [pdf]

5. Reverse k-Ranks Queries on Large Graphs
   

   Yuqiu Qian, Hui Li, Nikos Mamoulis, Yu Liu and David W. Cheung

   In EDBT, 2017. [pdf]

6. Overlapping Community Regularization for Rating Prediction in Social Recommender Systems
   

   Hui Li, Dingming Wu, Wenbin Tang and Nikos Mamoulis

   In RecSys, 2015. [pdf] [slides] [video] [data]

7. A Revisit to Social Network-Based Recommender Systems
   

   Hui Li, Dingming Wu and Nikos Mamoulis

   In SIGIR, 2014. [pdf] [poster] [data]

8. HMM-Based FCM Algorithm for Gene Sequences Clustering (in Chinese)
   

   Hui Li and Wei Liu

   Application Research of Computers, 30 (Suppl): 175-176, 2013.

9. Content-Based Filtering Recommendation Algorithm Using HMM
   

   Hui Li, Fei Cai and Zhifang Liao

   In ICCIS, 2012.

• Postgraduate Scholarship, University of Hong Kong2013 - Present
• UMD Computer Science Dean's Fellowship, University of Maryland, College Park2015 - 2016
• Outstanding Undergraduate Student, Central South University2012
• Third Class Prize in Android Challenge for Chinese Students (Central China Region), Google2011
• Outstanding Award in CSCUP, Institute of Software Chinese Academy of Sciences2011
• Tong Ren Scholarship, Central South University2010