Junming Liu

Qualifications

• PhD - Information Technology (Rutgers University)
• MS - Physics (Rutgers University)
• BSc - Physics (University of Science and Technology of China)

Biography

Junming Liu is an assistant professor in the Department of Information Systems at the City University of Hong Kong. He received his Ph.D. from the Rutgers Business School at Rutgers University. Before joining Rutgers, he received his M.S. degree in Physics from Rutgers University and a B.S. degree from the School of the Gifted Young at the University of Science and Technology of China (USTC). His general areas of research are data mining, supply chain analytics, urban computing, and large scale optimization, with a focus on developing effective and efficient data mining techniques for emerging big data & supply chain applications. His ongoing research projects include intelligent transportation and logistics services, data-driven operations and supply chain management, supply chain network design and optimization, multi & omnichannel business. He has published prolifically in top venues of knowledge discovery and data mining.

Research Grants

PI: "A Data-Driven Aggregate Production-Distribution System for Perishable Product Retailers", Early Career Scheme (ECS) - Hong Kong Research Grants Council, Amount: $542,000 (2021-2022), Junming LIU

PI: "Development of Big Data Research Analytic Software", Innovation and Technology Fund (ITF) - Innovation and Technology Commission of the Hong Kong SAR, Amount: $706,100 (2019-2021), Junming LIU, Angela LU, Jing WANG, Alan Ran ZHANG

PI: "AI-powered Optimization Framework for Inter-connected Warehouse Inventory Rebalancing", Start-up Grant - City University of Hong Kong, Amount: $200,000 (2019-2021), Junming LIU

PI: "Political Effects of Social Media on Social Incidents in Hong Kong", Public Policy Research, Amount: $488,750 (2020-2020), Junming LIU, Angela LU, Chung Man Alvin LEUNG

Publications

Journal Publications and Reviews

Du, Bowen; Hu, Xiao; Sun, Leilei; Liu, Junming; Qiao, Yanan; Lv, Weifeng / Traffic Demand Prediction Based on Dynamic Transition Convolutional Neural Network. January 2020; In: IEEE Transactions on Intelligent Transportation Systems.

Li, Qiao; Liu, Junming / Development of An Intelligent NLP-Based Audit Plan Knowledge Discovery System. 2020; In: Journal of Emerging Technologies in Accounting. Vol. 17, No. 1, pp. 89-97

Chen, Weiwei; Lei, Lei; Wang, Zhengwei; Teng, Mingfei; Liu, Junming / Coordinating supplier selection and project scheduling in resource-constrained construction supply chains. October 2018; In: International Journal of Production Research. Vol. 56, No. 19, pp. 6512-6526

FU, Yanjie; LIU, Junming; LI, Xiaolin; XIONG, Hui / A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis. February 2018; In: ACM Transactions on Intelligent Systems and Technology. Vol. 9, No. 4

Chapters, Conference Papers, Creative and Literary Works

Zhang, Denghui; Liu, Junming; Zhu, Hengshu; Liu, Yanchi; Wang, Lichen; Wang, Pengyang; Xiong, Hui / Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. November 2019; CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge Management. pp. 2763-2771

Chen, Can; Liu, Junming; Li, Qiao; Wang, Yijun; Xiong, Hui; Wu, Shanshan / Warehouse Site Selection for Online Retailers in Inter-Connected Warehouse Networks. November 2017; Proceedings - 17th IEEE International Conference on Data Mining (ICDM 2017). pp. 805-810

Liu, Junming; Fu, Yanjie; Ming, Jingci; Ren, Yong; Sun, Leilei; Xiong, Hui / Efective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams. August 2017; KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 335-344

Liu, Junming; Sun, Leilei; Li, Qiao; Ming, Jingci; Liu, Yanchi; Xiong, Hui / Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion. August 2017; KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 957-966

Fu, Yanjie; Liu, Junming; Li, Xiaolin; Lu, Xinjiang; Ming, Jingci; Guan, Chu; Xiong, Hui / Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective. December 2016; Proceedings - 16th IEEE International Conference on Data Mining. pp. 877-882

Liu, Junming; Sun, Leilei; Chen, Weiwei; Xiong, Hui / Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization. August 2016; KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 1005-1014

Niu, Hongting; Liu, Junming; Fu, Yanjie; Liu, Yanchi; Lang, Bo / Exploiting human mobility patterns for gas station site selection. April 2016; Database Systems for Advanced Applications: Proceedings, Part I. pp. 242-257

Liu, Junming; Li, Qiao; Qu, Meng; Chen, Weiwei; Yang, Jingyuan; Xiong, Hui; Zhong, Hao; Fu, Yanjie / Station Site Optimization in Bike Sharing Systems. November 2015; Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. pp. 883-888

Sun, Jing; Liu, Junming; Xiong, Yun; Guan, Chu; Zhu, Yangyong; Xiong, Hui / Multi-source Information Fusion for Personalized Restaurant Recommendation. August 2015; SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 983-986

Qu, Meng; Zhu, Hengshu; Liu, Junming; Liu, Guannan; Xiong, Hui / A cost-effective recommender system for taxi drivers. August 2014; KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 45-54

Research Areas

• Data Mining
• Operations Management
• Supply Chain Analytics