肖帅勇

肖帅勇

副教授,管理科学与工程系

邮箱:syxiao@tongji.edu.cn

研究领域:多模态商业智能;可解释深度学习;大模型推理智能

个人简介:

同济大学经济与管理学院副教授,博士生导师。研究方向聚焦于短视频营销、AIGC内容挖掘、推荐系统等商业应用场景,以管理学/心理学/数学理论为驱动,致力于通过深度学习技术创新,提升人工智能在多模态用户行为感知、认知与推理方面的能力和应用。研究成果发表于MIS Quarterly (UTD24)、Information Systems Research (UTD24)、Decision Support Systems、Information & Management、Information Processing and Management、Pattern Recognition、Electronic Commerce Research and Applications、Expert Systems with Applications等国际期刊及《系统工程理论与实践》、《工程管理科技前沿》等中文期刊。主持国家自然科学基金青年项目、科技部重点研发计划、博士后科学基金面上资助项目等多项研究课题,获上海市“超级博士后”激励计划。

  • 2015-2021 复旦大学管理学院 信息管理与信息系统专业 博士
  • 2011-2015 吉林大学管理学院 信息管理与信息系统专业 学士

已发表期刊论文

  • UTD Publications
  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. 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.

 

研究项目

  • 2024.1-2026.12,面向客户价值挖掘的可解释多模态深度学习方法研究,国家自然科学基金青年项目,主持
  • 2021.12-2024.11,工业时序数据强机理数据分析算法研究(子课题),科技部重点研发计划,主持
  • 2022.12-2025.4,基于层级关联约束的可解释深度学习方法及其在人机协同医疗诊断中的应用效果研究,中国博士后科学基金面上项目,主持
  • 2021.10-2023.9,面向多源多模态中医药数据基于深度学习的疾病诊断方法研究,广东省中医药信息化重点实验室开放课题,主持
  • 2025.1-2029.12,数据驱动的国家宏观医疗政策设计理论及动态优化,国家自然科学基金重大项目,参与
  • 2023.1-2026.12,联邦学习应用实施中的数据质量风险防范与参与激励方法研究,国家自然科学基金面上项目,参与
  • 2025.1-2028.12,线上专业服务的用户交互模式研究:基于社会化感知视角,国家自然科学基金面上项目,参与
  • 2020.1-2023.12,基于可解释深度学习的知识挖掘方法及其应用研究,国家自然科学基金面上项目,参与
  • 2023.12-2024.5,上海钢联大宗商品可解释人工智能预测系统总体设计,上海钢联,参与

工作经历

  • 2025 至今,同济大学经济与管理学院,副教授
  • 2022-2025,同济大学经济与管理学院,博士后
  • 2021-2022,复旦大学计算机科学技术学院,博士后

学术服务

  • 期刊审稿人:MIS Quarterly, Information Systems Research, Decision Support Systems, Information Processing and Management, Electronic Commerce Research, International Journal of Business Information Systems, Artificial Intelligence Review
  • 会议审稿人:ICIS, PACIS, AMCIS, CSWIM
  • PC member:ICSF 2025, WITS 2022-2025
  • 2025, International Conference on Smart Finance Best Paper Award
  • 2021,复旦大学优秀毕业生
 

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