Yuqi YANG

Yuqi YANG

Mathematics and Computer Science Undergrad @ HKUST

About Me

I am pursuing a bachelor’s degree at The Hong Kong University of Science and Technology (HKUST), double majoring in Mathematics and Computer Science. I am currently working on Conformal Prediction and Selective Inference, where I am fortunate to be advised by Dr. Ying Jin at the Harvard Data Science Initiative. Dr. Jin is also an incoming Assistant Professor at the Wharton School of the University of Pennsylvania. Before that, I was a research assistant working on Cognitive Science and Intention Understanding at the KnowComp Group at HKUST, where I have been fortunate to be advised by Prof. Yangqiu Song. I visited the School of Mathematics at ETH Zurich as a university exchange student during the spring of 2025.

Under Review

[1]   SessionIntentBench: Multi-task Inter-Session Intention-Shift Modeling Benchmark for E-commerce Customer Behavior Understanding [Code] [Paper]

[2]   MoDE: Expert-level Flexibility and Dynamic Skipping for MoE LLMs [Code] [Paper]

Research Experience

Apr2025-Present   Research Assistant at Harvard Data Science Initiative, adviced by Dr. Ying Jin

  • Conformal Prediction and Selective Inference
  • Agentic LLM with Medical Applications

Apr2024-Present   Research Assistant at KnowComp Group, adviced by Prof. Yangqiu Song

  • Proposed new intention modeling frameworks for underexplored session interactions:
    • developed a paradigm that is easy to deploy, automate and scale
  • Implemented the whole benchmarking / dataset generation pipeline:
    • data cleaning, preprocessing
    • prompt engineering: Zero-shot, Few-shots, COT
    • L(V)LM generations: feature extraction, aligned generation, aligned verification
    • data labeling stage: annotation protocol writing, testing and evaluation
    • model evaluation: LLM, LVLM / open-source models (mostly Transformer models), proprietary ​API models
    • model finetuning: LLM, LVLM finetuning via Llama-Factory
    • structural codes: coding the logics and structures that enable above functionalities

Oct2024-Dec2024   Research Project adviced by Prof. Can Yang

Feb2024-May2024   Research Project adviced by Prof. Qifeng Chen

Industry Experience

Jan2024-Jan2024   Research Analyst Intern at Jihai Investment (Hedge Fund)

Dec2023-Jan2024   Investment Banking Intern at Zhe Shang Securities

Jun2023-Aug2023   Software Developer Intern at Hundsun (world top 50 Fintech)

Projects

[1]   Gaussian Process Boosting Theories and Simulation Studies

[2]   Deep Convolutional GAN and CycleGAN for Image Processing and Generation [Code]

Awards

Aug2024   China Construction Bank Asia Scholarships (top 3 first prize winning awardee)

May2024   The S.S. Chern Class Scholarship (top 20 math student researchers)

Apr2024   Chiaphua Industries Limited Scholarships (top 1% tier invitation and final awardee)

Oct2023   University’s Scholarship Scheme for Continuing UG Student (top 1% tier)

Jun2022   National College Entrance Examination (GaoKao) (top 0.5% among 360,000 participants)

Contact

Reach me at yyangfd [at] connect [dot] ust [dot] hk for potential collaborations or visit my GitHub / LinkedIn home page for more information.