Guanqun Yang 杨冠群

Ph.D. Candidate in Computer Science @ Stevens Institute of Technology
  • [2025-04] A Deep Dive into the Llama 3 Herd of Models, Machine Learning and Knowledge Discovery (MLKD) Research Seminar @ Stevens.

  • [2024-09] Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure, Machine Learning and Knowledge Discovery (MLKD) Research Seminar @ Stevens.

  • [2023-07-11] AI For Everyone - A Tour of ChatGPT, Jersey City Summer Camp for Underrepresented High School Students [Course Materials] [Linkedin]

  • [2023-03-24] Training Language Models to Follow Instructions with Human Feedback, Machine Learning and Knowledge Discovery (MLKD) Research Seminar @ Stevens.

  • [2023-01-27] Controllable Text Generation with Language Constraints, Machine Learning and Knowledge Discovery (MLKD) Research Seminar @ Stevens.

  • [2022-12-09] Fixing Model Bugs with Natural Language Patches, Machine Learning and Knowledge Discovery (MLKD) Research Seminar @ Stevens.

  • [2022-09-16] NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics, Machine Learning and Knowledge Discovery (MLKD) Research Seminar @ Stevens.

  • [2021-11-05] Beyond Accuracy: Behavioral Testing of NLP Models with CheckList, Machine Learning and Knowledge Discovery (MLKD) Research Seminar @ Stevens [Video Recording]

  • [2021-02] Data Programming: Creating Large Training Sets, Quickly, Machine Learning and Knowledge Discovery (MLKD) Research Seminar @ Stevens.

  • [2020-11] InFoRM: Individual Fairness on Graph Mining, Machine Learning and Knowledge Discovery (MLKD) Research Seminar @ Stevens.

  • [2019-05] Natural Language Processing (Almost) from Scratch, Advanced Seminar in Natural Language Processing @ UCLA.

  • [2019-03] Size-Independent Sample Complexity of Neural Networks. Advanced Seminar in Foundation of Deep Learning @ UCLA.

  • [2018-08] Autonmous Motion Planning of Mobile Robots with Deep Reinforcement Learning, Mechanical Engineering Department @ Nagoya University, Japan