Summary

Ph.D. student in Artificial Intelligence at HKUST(GZ), researching Recommender Systems, Large Language Models, and Data Mining.

Education

• Ph.D. in Artificial Intelligence

  Present
  The Hong Kong University of Science and Technology (Guangzhou)
• MPhil in Data Science (Computer Science and Technology)

  2023-06
  University of Science and Technology of China
• B.Eng. in Computer Science and Technology

  2020-06
  Hefei University of Technology

  GPA: 3.87/4.3 (rank 4/135, top 2.9%)

Work Experience

• Research Intern

  2025-05-01 - 2026-02-01
  Tencent Ads, Tencent

  Large-scale generative models for advertising prediction and ad delivery optimization.
• Research Intern

  2019-09-01 - 2023-04-01
  Business Intelligence Lab, Baidu Research

  Large-scale user behavior and spatiotemporal data processing. Applied cutting-edge technologies to map, feed, intelligent transportation, and other businesses.

Skills

Publications

• LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models

  2025
  ACM TOIS

  CCF-A. Leverages LLMs to enhance cross-domain sequential recommendation.
• CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users

  2022
  SIGIR 2022

  CCF-A. Crowd-aware pre-travel recommendation for out-of-town users.
• Out-of-Town Recommendation with Travel Intention Modeling

  2021
  AAAI 2021

  CCF-A. Travel intention modeling for out-of-town POI recommendation.
• How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective

  2026
  ACM TKDD

  CCF-B. Causal inference for business agglomeration impact analysis.
• A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation

  2023
  Findings of EMNLP 2023

  CCF-B. Table-to-text generation with heterogeneous attention.
• RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation

  2022
  IEEE TKDE

  CCF-A. Multi-agent RL for EV charging station recommendation.
• Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning

  2021
  WWW 2021

  CCF-A. Multi-agent RL for intelligent EV charging recommendation.
• Parallel Temporal Encoder for Sign Language Translation

  2019
  ICIP 2019

  CCF-C. Parallel temporal encoder for sign language translation.

Languages

• Chinese

  Native
• English

  Professional (DET 125)

Interests

• Recommender Systems
• Large Language Models
• Data Mining