Teaching Information
Instructor: Machine Learning and Artificial Intelligence; Marketing Analytics
Education
- Ph.D., Computer Science and Marketing (Dual Field), Case Western Reserve University, 2028
- M.S., Business Analytics, Case Western Reserve University, 2020
- B.S., Industrial Engineering, Jiangsu University, 2018
Awards and Honors
- Excellent Researcher Student Award (Top-20 university-wide), CWRU, 2024
- Innovation Award and Scholarship, Yum R&D Center, 2021-2022
- Excellent Graduate Award, Jiangsu University, 2018
Current Projects
CausalRAG
Introduced causality into large language model frameworks by incorporating causal graphs into the RAG pipeline, significantly improving answer faithfulness (+10.64%) and context precision (+19.16%) over state-of-the-art methods. Published at ACL 2025.
HugRAG
Rethinks knowledge organization for graph-based RAG through causal gating across hierarchical modules, explicitly modeling causal relationships to suppress spurious correlations while enabling scalable reasoning over large-scale knowledge graphs. Under review at ICML 2026.
AI for Sales
Developed a theory-driven framework (AGA typology) to bridge the gap between AI conceptualizations and real-world deployment, systematically coding 45 state-of-the-art applications across technical details. Published at the Journal of Personal Selling and Sales Management.
HugRAG: Hierarchical Causal Knowledge Graph Design for RAG
2026HugRAG rethinks knowledge organization for graph-based RAG through causal gating across hierarchical modules. It explicitly models causal relationships to suppress spurious correlations while enabling scalable reasoning over large-scale knowledge graphs. Extensive experiments demonstrate that HugRAG consistently outperforms competitive graph-based RAG baselines across multiple datasets and evaluation metrics, establishing a principled foundation for structured, scalable, and causally grounded RAG systems.
Technological and Digitalization Forces Shaping B2B Sales: Confluence, Challenges, Promises, and Pitfalls
2026This handbook chapter examines the technological and digitalization forces shaping B2B sales, analyzing the confluence of emerging technologies, the challenges they present, their promises for transforming sales processes, and potential pitfalls in implementation.
AI-Guided Detection of Persuasion Strategies in Internal Marketing Communications
2026This work presents an AI-guided approach to detecting persuasion strategies in internal marketing communications, rethinking the dominant entity-centric paradigm in retrieval for large language models by introducing a novel reasoning-oriented perspective.
Unpacking Generative AI for B2B Sales: Definitional Perspectives, Multidimensional Framework, and Sales Roles
2026This paper develops a theory-driven framework (AGA typology) to bridge the gap between AI conceptualizations and real-world deployment in B2B sales. Through systematic coding of 45 state-of-the-art applications based on diverse developer guides, the study provides a multidimensional perspective on how generative AI reshapes sales roles. Published in the Journal of Personal Selling and Sales Management (special issue, 14% acceptance rate).
Recommendation Method, Device, and Electronic Apparatus Based on Multimodal Features
2024A patent describing a recommendation method and device based on multimodal features, utilizing AI techniques for enhanced recommendation systems in commercial applications.
Image Processing Method and Apparatus
2024A patent describing an image processing method and apparatus for automated visual data analysis and transformation.
Image Color Recognition and Recommendation Method and Device
2024A patent describing a method and device for image color recognition and recommendation, applying computer vision techniques for automated color analysis.
Image Generation Method and Apparatus Based on Artificial Intelligence
2022A patent describing a method and apparatus for AI-based image generation, leveraging artificial intelligence techniques for automated visual content creation.
Method and Device for Determining and Evaluating Business Data Categories
2022A patent describing a method and device for determining and evaluating business data categories, applying machine learning for automated business intelligence and data classification.
Business Classification Method and Device Based on Machine Learning
2022A patent describing a business classification method and device based on machine learning, applying ML algorithms for automated business categorization and analysis.
