Welcome

I am an MPhil student at the Hong Kong University of Science and Technology (HKUST) supervised by Prof. Hao Liu. I received B.S. with a double major in computer science and applied mathematics (First-Class Honor) from HKUST in 2021.

Recently, I work in Boss Zhipin Career Science Lab (Beijing) as research intern aiming at exploring the capability of Large Language Model in recommender system.

For my personal hobbies, please check Misc..

Research Interests

I am interested in the Data Mining and Natural Language Processing with the work spanning

• Large Language Model
• Hallucination
• Graph Neural Network
• Data Mining in Real-World Application

For the detail of my project experience, please check 1-page resume.

Publications

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction

Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu
AAAI 2024 (Oral)
[paper] [code]

Harnessing Large Language Models for Text-Rich Sequential Recommendation

Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong
WWW 2024

Make Large Language Model a better ranker

Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu
Under Review

News

• [Mon 2023] One paper is accepted by WWW 2024!
• [Dec 2023] One paper is accepted by AAAI 2024 with oral presentation!
• [June 2023] I will intern at Boss Zhipin Career Science Lab as research intern.
• [Sep 2022] I am glad to become an MPhil student in HKUST supervised by Prof. Hao Liu.

Education

• MPhil. in The Hong Kong University of Science and Technology (2022 - Exp. 2024)
  Full University Scholarship (US$33,000 approx.)
• B.S. in The Hong Kong University of Science and Technology (2017 - 2021)
  Awarded University Scholarship (US$1,500 approx.)
  First Class Honors (the highest honor)

Exchange and Visiting Programs

• Nanyang Technological University (Singapore, 2019)
• Shanghai JiaoTong University (Shanghai, 2018)

Talks & Sharing

• A Cross-view Hierarchical Graph Learning with Hypernetwork for Skill Demand-Supply Forecasting (2024 AAAI)
• Knowledge Graph-Driven System for Matching Courses to Careers in Talent Development (2023)
• An Overview of Prompting (2023)

Projects

• Financial Portfolio Management: A Multi-Agent Reinforcement Learning Approach (2023)
  Utilized Multi-Agent RL to model the collaboration an competition among stock groups to maximize Sharpe Ratio.
• DisMult Variation Auto Encoder for Uncertain Knowledge Graph (2022)
  Supervised by Prof. MiYen Yeh in Academia Sinica.
  Proposed uncertain knowledge graph embedding model and addressed the limitation of current evaluation metrics.
• Sequential Analysis on Dialysis for Requirement of Percutaneous Transluminal Angioplasty (PTA) (2022)
  
  • Built a prediction model as a supportive system for identifying the patient need of PTA after dialysis.
• Daily News Analysis for Stock Index Prediction (2021)
  Combined world news data and stock transaction feature to predict DJIA; Achieved 58% accuracy in back testing.
• Graph Neural Network for Graph Isomorphism (2020)
  Adviced by Prof. QiFeng Chen in HKUST.
  Introduced hypernode with greedy algorithm for Graph Isomorphism Problem. (Failed in circulant skip link graph)
• Video-based Person Re-identification (2019)
  Decomposed spatial and temporal features in video with mAP 77.5%, outperforming baselines in MARS.
• Face Super-Resolution with Parsing (2018)
  Supervised by Prof. ShuengHan Chan in HKUST.
  Incorporate image parsing pre-trained model to increase peak signal-to-noise ratio (PSNR) from 27 to 28 in CelebA.

Extracurricular Activity

• School of Engineering Peer Mentor Program (2019)
• Volunteer Teahcing for Elementary School Student in Hong Kong (2018)
• Volunteer Service in Guizhou (2018)

Hobbies

• Go game (1d amatuer)
• Guitar
• Volleyball (university volleyball group)
• Photography
• Workout

Sincerely

I truly appreciate the support and acknowledgment from everyone. Every gesture, no matter how small, has made a difference on me. I would like to sincerely thank you all.