Efficient Machine Learning on Large-Scale Graphs - Parker Erickson; Victor E. Lee; Feng Shi; Jiliang Tang (KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022, 2022)

PG-Keys: Keys for Property Graphs - Renzo Angles; Angela Bonifati; Stefania Dumbrava; George Fletcher; Keith W. Hare; Jan Hidders; Victor E. Lee; Bei Li; Leonid Libkin; Wim Martens; Filip Murlak; Josh Perryman; et al. (SIGMOD '21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021, 2021)

Aggregation Support for Modern Graph Analytics in TigerGraph - Alin Deutsch; Yu Xu; Mingxi Wu; Victor E. Lee (Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020, 2020)

Privacy-aware smart city: A case study in collaborative filtering recommender systems - Feng Zhang; Victor E. Lee; Ruoming Jin; Saurabh Garg; Kim-Kwang Raymond Choo; Michele Maasberg; Lijun Dong; Chi Cheng (J. Parallel Distributed Comput., 2019)

TigerGraph: A Native MPP Graph Database - Alin Deutsch; Yu Xu; Mingxi Wu; Victor E. Lee (CoRR, 2019)

Jo-DPMF: Differentially private matrix factorization learning through joint optimization - Feng Zhang; Victor E. Lee; Kim-Kwang Raymond Choo (Inf. Sci., 2018)

Uncertain Graph Data Management - Lin Liu; Victor E. Lee; Ruoming Jin (Encyclopedia of Database Systems, Second Edition, 2018)

Fast algorithms to evaluate collaborative filtering recommender systems - Feng Zhang; Ti Gong; Victor E. Lee; Gansen Zhao; Chunming Rong; Guangzhi Qu (Knowl. Based Syst., 2016)

Simple is Beautiful: An Online Collaborative Filtering Recommendation Solution with Higher Accuracy - Feng Zhang; Ti Gong; Victor E. Lee; Gansen Zhao; Guangzhi Qu (Web Technologies and Applications - 17th Asia-PacificWeb Conference, APWeb 2015, Guangzhou, China, September 18-20, 2015, Proceedings, 2015)

Fast and Accurate Computation of Role Similarity via Vertex Centrality - Longjie Li; Lvjian Qian; Victor E. Lee; Mingwei Leng; Mei Chen; Xiaoyun Chen (Web-Age Information Management - 16th International Conference, WAIM 2015, Qingdao, China, June 8-10, 2015. Proceedings, 2015)

Scalable and axiomatic ranking of network role similarity - Ruoming Jin; Victor E. Lee; Longjie Li (ACM Trans. Knowl. Discov. Data, 2014)

k-CoRating: Filling Up Data to Obtain Privacy and Utility - Feng Zhang; Victor E. Lee; Ruoming Jin (Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada, 2014)

Decision Trees: Theory and Algorithms - Victor E. Lee; Lin Liu; Ruoming Jin (Data Classification: Algorithms and Applications, 2014)

Frequent Pattern Mining in Data Streams - Victor E. Lee; Ruoming Jin; Gagan Agrawal (Frequent Pattern Mining, 2014)

A highway-centric labeling approach for answering distance queries on large sparse graphs - Ruoming Jin; Ning Ruan; Yang Xiang; Victor E. Lee (Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012, Scottsdale, AZ, USA, May 20-24, 2012, 2012)

Axiomatic ranking of network role similarity - Ruoming Jin; Victor E. Lee; Hui Hong (Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, 2011)

Axiomatic Ranking of Network Role Similarity - Ruoming Jin; Victor E. Lee; Hui Hong (CoRR, 2011)

A Survey of Algorithms for Dense Subgraph Discovery - Victor E. Lee; Ning Ruan; Ruoming Jin; Charu C. Aggarwal (Managing and Mining Graph Data, 2010)

A Sparsification Approach for Temporal Graphical Model Decomposition - Ning Ruan; Ruoming Jin; Victor E. Lee; Kun Huang (ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009, 2009)

Migration motif: a spatial - temporal pattern mining approach for financial markets - Xiaoxi Du; Ruoming Jin; Liang Ding; Victor E. Lee; John H. Thornton Jr. (Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, 2009)