Research Topics

Real-world Data to Artificial Intelligence

• LLM-driven insight discovery and decision making
• User modeling, profiling, and simulation for personalized AI
• AI agents for manufacturing, industrial processes, and operational optimization
• Prediction, forecasting, anomaly detection, and intelligent monitoring

Large Language Models

• Advancing knowledge integration and reasoning capabilities of LLMs
• Reward modeling, evaluation, and benchmarking for reliable LLMs
• On-device and edge LLMs for lightweight, efficient, and privacy-preserving intelligence

Information Retrieval & Recommendation

• Representation learning and data encoders for retrieval and recommendation
• Reasoning-aware and explainable search/recommender systems
• Conversational and interactive search/recommender systems