Chen Gang
Assistant Professor
Information Management and Business Intelligence (IM&BI)
Add: Guoshun Road Siyuan Building Room 107, Siyuan Building
Tel:
E-mail: gangchen_@fudan.edu.cn
Research Field: Multimodal Behavioral Intelligence, Structured Reasoning of LLMs, Theory-Driven Deep Learning
Website: https://gangchen0509.github.io/
Educational Background
Doctor Degree,Information Management & Information Systems,Fudan University
Bachelor Degree,Information Management & Information Systems,Hefei University of Technology
Awards on Research
2025.09,Outstanding Paper Award, The 2nd Academic Forum of the University Consortium for Constructing China's Independent Knowledge System in Complex Systems Management (CSM 2025),The University Consortium for Constructing China's Independent Knowledge System in Complex Systems Management
2025.07,Best Paper Award,The 10th International Conference on Smart Finance (ICSF 2025)
2024.06,Best Reviewer Award,The 17th China Summer Workshop on Information Management (CSWIM 2024)
2024.02,Excellent Doctoral Dissertation of Fudan University,Fudan University
2023.11,Doctoral Dissertation Support Program,Society of Management Science and Engineering of China
2021.06,The grand special prize in the 12th Fudan Academic Star,Grand Prize,Fudan University Graduate School
Journal Papers
| 1. | Liqian Bao, Gang Chen, Zongxi Liu, Shuaiyong Xiao, and Huimin Zhao. 2025. Predicting reward-based crowdfunding success with multimodal data: a theory-guided framework. Information and Management 62(4) 1-16.  |
| 2. | Jing Liu, Gang Wang, Huimin Zhao, Mingfeng Lu, Lihua Huang, and Gang Chen. 2025. Beyond complements and substitutes: A graph neural network approach for collaborative retail sales forecasting. Information Systems Research forthcoming 1-24. |
| 3. | Gang Chen, Lihua Huang, Shuaiyong Xiao, Chenghong Zhang, and Huimin Zhao. 2024. Attending to customer attention: A novel deep learning method for leveraging multimodal online reviews to enhance sales prediction. Information Systems Research 35(2) 829-849. |
| 4. | Zongxiang Zhang, Gang Chen, Yunjie Xu, Lihua Huang, Chenghong Zhang, and Shuaiyong Xiao. 2024. FedDQA: A novel regularization-based deep learning method for data quality assessment in federated learning. Decision Support Systems 180 1-16. |
| 5. | Shuaiyong Xiao, Jianxiong Wang, Jiwei Wang, Runlin Chen, and Gang Chen. 2024. On the consensus of synchronous temporal and spatial views: A novel multimodal deep learning method for social video prediction. Information Processing & Management 61(1) 1-17. |
| 6. | Gang Chen, Shuaiyong Xiao, Chenghong Zhang, and Huimin Zhao. 2023. A theory-driven deep learning method for voice chat–based customer response prediction. Information Systems Research 34(4) 1513-1532. |
| 7. | Yajing Wang, Gang Chen, Yunjie (Calvin) Xu, and Xianghua Lu. 2023. Novel role-wise attention mechanism for predicting purchases made through chat-based online customer services. Decision Support Systems 169 1-11. |
| 8. | Gang Chen, Xiangge Li, Shuaiyong Xiao, Chenghong Zhang, and Xianghua Lu. 2023. RACL: A robust adaptive contrastive learning method for conversational satisfaction prediction, Pattern Recognition. Pattern Recognition 138 1-14. |
| 9. | Gang Wang, Jingling Ma, and Gang Chen. 2023. Attentive statement fraud detection: Distinguishing multimodal financial data with fine-grained attention. Decision Support Systems 167 1-14. |
| 10. | Shuaiyong Xiao, Gang Chen, Chenghong Zhang, and Xiangge Li. 2022. Complementary or substitutive? A novel deep learning method to leverage Text-image interactions for multimodal review helpfulness prediction. Expert Systems with Applications 208 1-13. |
| 11. | Gang Chen, Shuaiyong Xiao, Chenghong Zhang, and Wei Wang. 2022. An orthogonal-space-learning-based method for selecting semantically helpful reviews. Electronic Commerce Research and Applications 53 1-19. |
| 12. | Gang Wang, Gang Chen, Huimin Zhao, Feng Zhang, Shanlin Yang, and Tian Lu. 2021. Leveraging multisource heterogeneous data for financial risk prediction: A novel hybrid-strategy-based self-adaptive method. MIS Quarterly 45(4) 1949-1998. |
| 13. | Lihua Huang, Yifan Dou, Yezheng Liu, Jinzhao Wang, Gang Chen, Xiaoyang Zhang, and Runyin Wang. 2021. Toward a research framework to conceptualize data as a factor of production: The data marketplace perspective. Fundamental Research 1(5) 586-594. |
| 14. | Abdul Waheed Siyal, Chen Hongzhuan, and Chen Gang. 2021. From consumer satisfaction to recommendation of mobile app–based services: An overview of mobile taxi booking apps. SAGE Open 11(1) 1-14. |
| 15. | Abdul Waheed Siyal, Hongzhuan Chen, Gang Chen, Muhammad Mujahid Memon, and Zainab Binte. 2020. Structural equation modeling and artificial neural networks approach to predict continued use of mobile taxi booking apps: the mediating role of hedonic motivation. Data Technologies and Applications 55(3) 372-399. |
| 16. | Gang Wang, Jingling Ma, Gang Chen, and Ying Yang. 2020. Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures. Applied Soft Computing 90 1-18. |
| 17. | Jing Liu, Gang Wang, and Gang Chen. 2019. Identifying adverse drug events from social media using an improved semisupervised method. IEEE Intelligent Systems 34(2) 66-74. |
| 18. | Gang Wang, Gang Chen, Yan Chu. 2018. A new random subspace method incorporating sentiment and textual information for financial distress prediction. Electronic Commerce Research and Applications 29 30-49. |
| 19. | Xulei Jin, Gang Chen, Lihua Huang, Shuaiyong Xiao, and Chenghong Zhang. 2025. Challenges and managerial strategies in commercial application of large language models:A knowledge-enhanced framework. Frontiers of Science and Technology of Engineering Management 44(3) 1-8. (in Chinese) |
| 20. | Zongxiang Zhang, Daqing Zheng, Chenghong Zhang, Lihua Huang, Gang Chen, and Weiru Huang. 2024. Literature review on federated learning application: Based on “element-process” framework. Journal of Industrial Engineering 38(1) 14-30. (in Chinese) |
| 21. | Chenghong Zhang, Gang Chen, Tian Lu, and Lihua Huang. 2021. Explainable artificial intelligence and its impact on management: Research status and prospects. Journal of Management Science 34(3) 63-79. (in Chinese) |
Research Projects
2025.05—2026.05, Member, Optimization and Demand Forecasting for Shipping Networks of SOC Containers & SOC ISO Tanks, Shanghai Yiyun International Freight Forwarding Co., Ltd.
2024.11—2025.01, Principal Investigator, Algorithm Design for MySteelXAI of Shanghai Ganglian E-Commerce Holdings Co.,Ltd., Shanghai Ganglian E-Commerce Holdings Co.,Ltd.
2024.01—2026.12, Principal Investigator, Research on Recommendation Methods Oriented to The Unification of Fairness and Accuracy: From The Perspective of Model Bias Resolution, National Natural Science Foundation of China
Academic Conferences
2025.07, 2025 INFORMS International Meeting, Singapore
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