• 2025 – Now, Associate Professor, School of Economics and Management, Tongji University
• 2022 – 2025, Postdoctoral Fellow, School of Economics and Management, Tongji University
• 2021 – 2022, Postdoctoral Fellow, School of Computer Science, Fudan University

Journal Publications

• UTD Publications

1. 1. Deep chain-of-preference: A novel deep learning method for mixed-grained recommendation (with Gang Chen, Tan Cheng, Jianxiong Wang, and Huimin Zhao). MIS Quarterly, Forthcoming.
   2. Attending to Customer Attention: A Novel Deep Learning Method for Leveraging Multimodal Online Reviews to Enhance Sales Prediction (with Gang Chen, Lihua Huang, Chenghong Zhang, and Huimin Zhao). Information Systems Research, 2024, 35(2), 829-849.
   3. A Theory-driven Deep Learning Method for Voice-chat-based Customer Response Prediction (with Gang Chen, Chenghong Zhang, and Huimin Zhao). Information Systems Research, 2023, 34(4), 1513-1532.

• Other Publications

1. 1. Uncertainty-Aware Augmented Generation (UAG): A Novel Deep Learning Method for Enriching In-Conversation User Intent Toward Improved LLM Generation (with Xulei Jin, Lihua Huang, Tan Cheng, Chenghong Zhang, and Yajing Wang). Decision Support Systems, 2025, 114558.
   2. Predicting Reward-Based Crowdfunding Success with Multimodal Data: A Theory-Guided Framework (with Liqian Bao, Gang Chen, Zongxi Liu, and Huimin Zhao). Information & Management, 2025, 62(4), 104131.
   3. Uncovering the Role of Reviewer Heterogeneity in Customer Needs Identification and Customer Satisfaction Improvement: A Perspective from Target Customers (with Jie Lin, Lu Li, Qing Li, Chao Wang, and Xiaoyan Jiang). Information Processing and Management, 2026, 63(3), 104496.
   4. On the Consensus of Synchronous Temporal and Spatial Views: A Novel Multimodal Deep Learning Method for Social Video Prediction (with Jianxiong Wang, Jiwei Wang, Runlin Chen, and Gang Chen). Information Processing and Management, 2024, 61(1), 103534.
   5. Navigating the Shifting Landscape of Multi-level User Demands: A Novel Hybrid Approach for Identifying Product Opportunities and Directions (with Qing Li, Jie Lin, Chao Wang, Xiaoyan Jiang, and Zijuan Hu). Journal of Retailing and Consumer Services, 2026, 88, 104460.
   6. Exploring Customer Satisfaction Across Language Backgrounds: A Hybrid Framework on Multilingual eWOM (with Jie Lin, Xueyu Liu, and Haowen Lin). Journal of Electronic Commerce Research, 2024, 25(3), 191-208.
   7. FedDQA: A Novel Regularization-Based Deep Learning Method for Data Quality Assessment in Federated Learning (with Zongxiang Zhang, Gang Chen, Yunjie Xu, Lihua Huang, and Chenghong Zhang). Decision Support Systems, 2024, 180, 114183.
   8. RACL: A Robust Adaptive Contrastive Learning for Conversational Satisfaction Prediction (with Gang Chen, Xiangge Li, Chenghong Zhang, and Xianghua Lu). Pattern Recognition, 2023, 138, 109386.
   9. Complementary or Substitutive? A Novel Deep Learning Method to Leverage Text-image Interactions for Multimodal Review Helpfulness Prediction (with Gang Chen, Chenghong Zhang, and Xiangge Li), Expert Systems with Applications, 2022, 118138.
   10. An orthogonal-space-learning-based method for selecting semantically helpful reviews (with Gang Chen, Chenghong Zhang, and Wei Wang). Electronic Commerce Research and Applications, 2022, 53, 101154.
   11. 金旭磊,陈刚*,黄丽华,肖帅勇,张成洪. 大模型商业应用挑战及其管理对策:基于知识增强的应用框架. 工程管理科技前沿. 2025, 44(03): 1-8.
   12. 张成洪,肖帅勇*,陆天,卢向华,黄丽华. 基于校园消费数据分析大学生网络借贷行为:借款倾向、消费变化与违约风险. 系统工程理论与实践. 2021, 41(03): 574-586.

Selected Research Projects (PI)

• Research on Explainable Multimodal Deep Learning Methods for Customer Value Mining, National Natural Science Foundation of China (NSFC), 72301194, 2024-2026, project leader.
• Research on Strong Mechanism Data Analysis Algorithm for Industrial Time Series Data, Key Special Project of National Key R&D Program,  2021YFB3300503, 2021-2024, sub-project leader.
• Research on Hierarchical Association Regularized Explainable Deep Learning Method and Its Application Effect in Human-machine Collaborative Medical Diagnosis, China Postdoctoral Science Foundation, 2022M722394, project leader.
• Research on Deep Learning Based Disease Diagnosis Method with Multimodal Traditional Chinese Medicine Data. Research Fund Program of Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, 2021-2023, project leader.

Reviewer for

• Journals: MIS Quarterly, Information Systems Research, Decision Support Systems, Information Processing and Management, Electronic Commerce Research, International Journal of Business Information Systems, Artificial Intelligence Review
• Conferences: ICIS, PACIS, AMCIS, CSWIM, WITS

PC member: ICSF 2025, WITS 2022-2025

• 2025, International Conference on Smart Finance Best Paper Award