Mingsheng Shang received the Ph.D. degree in Computer Science from University of Electronic Science and Technology of China in Chengdu, China in 2007. In 2015, he joined the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China, as a professor of computer science and engineering. He is currently also the director of Chongqing Key Laboratory of Big Data and Intelligent Computing. His current research interests include complex network analysis and big data applications. He has published more than 150 papers in journals such as IEEE TKDE, TSC, TNNLS, TII, TIE, TCYB, TSMC, TBD, ACM TOIS, Science China, as well as international conferences like WWW, ICDM, AAAI, IJCAI, ICWS. Dr. Shang has been cited more than 7,000 times on Google Scholar, with an H-index of 42.

Big data and applications

1. H. Xie, M. Zhong, X. Shi, X. Zhang, J. Zhong and M. Shang, "Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems," in IEEE Transactions on Knowledge and Data Engineering,2023, doi: 10.1109/TKDE.2023.3292352

2. X. Shi, Q. Liu, H. Xie, D. Wu, B. Peng, M. Shang, D. Lian. Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. In ACM Transactions on Information Systems, Aug. 2023, https://doi.org/10.1145/3618107

3. D. Wu, B. Sun and M. Shang, "Hyperparameter Learning for Deep Learning-Based Recommender Systems," in IEEE Transactions on Services Computing, vol. 16, no. 4, pp. 2699-2712, 1 July-Aug. 2023, doi: 10.1109/TSC.2023.3234623

4. M. Shang, Y. Yuan, X. Luo and M. Zhou, "An α–β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences," in IEEE Transactions on Cybernetics, vol. 52, no. 8, pp. 8006-8018, Aug. 2022, doi: 10.1109/TCYB.2020.3026425

5. M Liu,M. Shang, Data-driven double-level motion planning for redundant robots, SCIENTIA SINICA Informationis, 2023, ISSN 1674-7267, https://doi.org/10.1360/SSI-2023-0100