Welcome

• I am a first-year Ph.D. student at the Hong Kong University of Science and Technology (HKUST) supervised by Prof. Hao Liu.
• I received MPhil. with a major in Artificial Intelligence from 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.
• I interned in Lingjun Investment as quantative research intern in 2025.
• I interned in Boss Zhipin Career Science Lab (Beijing) as research intern aiming at exploring the capability of Large Language Model in recommender system in 2023.
• I worked in Academia Sinica as research assistant supervised by Prof. Mi-Yen Yeh in 2021.

Research Interests

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

• Large Language Model
• Complex Reasoning / Hallucination
• Recommendation
• Data Mining in Real-World Application

News

• [Jan 2025] I glad to have opportunities to intern at Lingjun Investment as quantitative research intern. Thank to Prof. Liu’s support.
• [Sep 2024] I am glad to serve as a reviewer for ICLR 2025
• [Sep 2024] One paper is accepted by EMNLP Findings 2024!
• [Jul 2024] I am glad to become an Ph.D. student in HKUST supervised by Prof. Hao Liu.
• [Mon 2023] One paper is accepted by WWW 2024!
• [Dec 2023] One paper is accepted by AAAI 2024 with oral presentation!
• [June 2023] I glad to have opportunities to 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.

Publications

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

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

Make Large Language Model a Better Ranker

Wen-Shuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu
Findings of EMNLP 2024
[paper]

Harnessing Large Language Models for Text-Rich Sequential Recommendation

Zhi Zheng, Wen-Shuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong
WWW 2024

PhoenixNest: A Hierarchical Multi-Agent LLM Copilot for Preference-Aligned and Context-Aware Student Evaluation

Wen-Shuo Chao, Yongyu Lei, Mao Lin, Miaojun Huang, Haimei Zhang, Jingshen Wu, Hao Liu
Under Review

Bag of Tricks for Inference-time Computation of LLM Reasoning

Fan Liu, Wen-Shuo Chao, Naiqiang Tan, Hao Liu
Under Review

Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation

Tianrui Song, Wen-Shuo Chao, Hao Liu
Under Review

Education

• Ph.D. in The Hong Kong University of Science and Technology (2024 - Exp. 2027)
  Doctor of Philosophy (Ph.D.) in Artificial Intelligence
  Full University Scholarship (US$77,000 approx.)
• MPhil. in The Hong Kong University of Science and Technology (2022 - 2024)
  Master of Philosophy (MPhil.) in Artificial Intelligence
  Full University Scholarship (US$33,000 approx.)
• B.S. in The Hong Kong University of Science and Technology (2017 - 2021)
  Bachelor of Science with double major in Computer Scinece and Applied Mathematics Awarded University Scholarship (US$1,500 approx.)
  First Class Honors (the highest honor)

Talks & Sharing

• An Overview of DeepSeek-R1 and Aha moment (2025)
• A Cross-view Hierarchical Graph Learning with Hypernetwork for Skill Demand-Supply Forecasting (2024 AAAI 5% Oral Presentation)
• Hallucination in Large Language Models (2024)
• Knowledge Graph-Driven System for Matching Courses to Careers in Talent Development (2023)
• An Overview of Prompting (2023 Boss Zhipin)

Services

• Reviewer: ICLR 2025

Work Experience

• Lingjun Investment (Hedge Fund), Shanghai, China: Quantative Research Intern (2025)
• Boss Zhipin (Online Recruitment Platform), Beijing, China: Research Intern (2023 - 2024)
• Academia Sinica (National Academy), Taipei, Taiwan: Research Assistant (2021)

Projects

• Factor Finding in High Frequency Trading (2023)
  Forecasted the future value of steel rebar futures using Limit Order Books (LOB) with naive linear regression factors; Achieved 12% out-of-sample correlation.
• 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. Mi-Yen Yeh in Academia Sinica.
  Proposed uncertain knowledge graph embedding model and addressed the limitation of current evaluation metrics.
• Recurrent Model for Invasive Medical Procedure Prediction (2022)
  Utilized RNN-based models to analyze patient time series data from dialysis and blood test results, predicting the need for Percutaneous Transluminal Angioplasty (PTA); Achieved 76% accuracy.
• 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)
• Face Super-Resolution with Parsing (2018)
  Supervised by Prof. ShuengHan Chan in HKUST.
  My First Deep Learning Project

Exchange and Visiting Programs

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

Extracurricular Activity

• Startup Exhibitor for INNOTECH Exhibition (2024)
• 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.