Address
6-277, Lau Ming Wai Academic Building, City University of Hong Kong
Phone
+852 34429323
Fax
+852 34420369
Email
Personal Web
http://www.is.cityu.edu.hk/staff/junmiliu/
Research Areas
Data Mining
Operations Management
Supply Chain Analytics
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, human-AI interaction.
Awards
| Award Title | Institution |
|---|---|
| 2024 College Teaching Excellence Award | City University of Hong Kong |
| ICIS 2023 Best Student Paper Award | International Conference on Information Systems |
| 2021/22 IS BBA Teaching Excellence Awards | City University of Hong Kong(Information Systems) |
Research Grants
PI: "Human Mobility Data Mining: the Spillover Effect Detection under Temporal and Spatial Network with Applications", Young Scientist Fund - NSFC, Amount: RMB 300,000 (2023-2025), Junming Liu
PI: "A Data-driven Rebalancing Optimization System for Bike sharing Systems", General Research Grant (GRF) - Hong Kong Research Grants Council, Amount: 675,891 (2022-2025), Junming Liu, Yimin Yu, Weiwei Chen
PI: "Beyond Cognitive Appraisal: an AI Delegation Framework for Human-AI Collaborative Intelligence", General Research Grant (GRF) - Hong Kong Research Grants Council, Amount: 365,502 (2023-2024), Junming Liu, Wei Thoo Yue
PI: "A Social Media Powered Preseason Production Planning System for Fast-fashion New Releases", Strategic Interdisciplinary Research Grant - City University of Hong Kong, Amount: $200,000 (2022-2024), Junming Liu (PC), Yimin Yu, Xiangyu Zhao, Yijun Wang
PI: "Optimizing Rebalancing Operations in Bike-sharing Systems Considering Spatial-temporal Demand Substitution", Strategic Research Grant - City University of Hong Kong, Amount: $100,000 (2021-2023), Junming Liu
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 (PC), 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
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Publications
Journal Publications and Reviews
YANG, Yihang; YU, Yimin; WANG, Qian; LIU, Junming / Fleet Repositioning for Vehicle Sharing Systems: Asymptotic Optimality of the Balanced Myopic Policy. March 2025; In: Production and Operations Management.
Yuan, Zixuan; Liu, Junming; Zhou, Haoyi; Zhang, Denghui; Liu, Hao; Zhu, Nengjun; Xiong, Hui / LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading. November 2024; In: IEEE Transactions on Knowledge and Data Engineering. Vol. 36, No. 11, pp. 6547-6559
LIU, Junming; Chen, Weiwei; Sun, Leilei / A Data-Driven Optimization Framework for Static Rebalancing Operations in Bike Sharing Systems. September 2024; In: INFORMS Journal on Computing.
LIU, Junming; YUE, Wei Thoo; LEUNG, Chung Man Alvin; Zhang, Xin / Find the Good. Seek the Unity: A Hidden Markov Model of Human-AI Delegation Dynamics. September 2024; In: MIS Quarterly.
Liu, Junming; Teng, Mingfei; Chen, Weiwei; Xiong, Hui / A Cost-Effective Sequential Route Recommender System for Taxi Drivers. September 2023; In: INFORMS Journal on Computing. Vol. 35, No. 5, pp. 1098–1119
Liu, Junming; Chen, Weiwei; Yang, Jingyuan ; Xiong, Hui; Chen, Can / Iterative Prediction-and-Optimization for E-logistics Distribution Network Design. March 2022; In: INFORMS Journal on Computing. Vol. 34, No. 2, pp. 769-789
Du, Bowen; Hu, Xiao; Sun, Leilei; Liu, Junming; Qiao, Yanan; Lv, Weifeng / Traffic Demand Prediction Based on Dynamic Transition Convolutional Neural Network. February 2021; In: IEEE Transactions on Intelligent Transportation Systems. Vol. 22, No. 2, pp. 1237-1247
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
Wen, Muchen; Liu, Junming; Kwon, Juhee; Jung, Kyung Sung; Kwark, Young / Spillover in Sharing Economies: Network Effect of Bike-sharing Services on Home-sharing Performance. December 2023; ICIS 2023 PROCEEDINGS.
Liu, Mucan; Hu, Manting; Liu, Junming / A Graph Learning Model of Network Resources for Early Stage Startup Success Prediction. November 2023; ICIS 2023 Proceedings.
Hu, Manting; LIN, Qingyuan; Zhang, Denghui; Lu, Angela; Liu, Junming; Xiong, Hui / Graph Learning of Multifaceted Motivations for Online Engagement Prediction in Counter-party Social Networks. November 2023; ICIS 2023 Proceedings.
Wang, Shiyu; Wang, Yunhui; Liu, Junming; Wang, Yijun / Fashion in Live Streaming E-Commerce: The Effects of Visceral and Behavioral Design on Product Sales. July 2023; PACIS 2023 Proceedings.
Wang, Yunhui; Liu, Junming; Fang, Yulin / The Sales Impact of Storytelling in Live Streaming E-Commerce. December 2022; ICIS 2022 Proceedings.
Li, Xiang; Wang, Yunhui; Liu, Junming; Hui, Xiong / Visual Communication and Fashion Popularity Contagion in Social Networks. December 2022; ICIS 2022 Proceedings.
Wang, Yunhui; Liu, Junming; Fang, Yulin / Storytelling in E-marketplace Live Streaming: The Effects of Narrative Content and Delivery on Sales Performance. July 2021; PACIS 2021 Proceedings.
Wang, Yunhui; Liu, Junming; Fang, Yulin / Live Streaming E-commerce: The Impact of the Intensity, Duration, and Phases of Peak Interaction on Sales Performance. June 2021; The 14th China Summer Workshop on Information Management (CISWIM).
Yuan, Zixuan; Liu, Hao; Liu, Junming; Liu, Yanchi; Yang, Yang; Hu, Renjun; Xiong, Hui / Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. April 2021; The Web Conference 2021: Proceedings of The World Wide Web Conference WWW 2021. pp. 1586–1597
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
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