- I am an Applied Scientist II at Amazon since May 2024. Before joining Amazon, I obtained CS PhD from Georgia Institute of Technology specializing in Machine Learning and was co-advised by Prof. Srijan Kumar and Prof. Mustaque Ahamad.
- My research interests include Machine Learning, Natural Language Processing (NLP), Large Language Model, and Deep Learning. Especially at Amazon, I work on large language models (LLM) post-training including reasoning, planning, evaluation, and alignment.
- Contact: bing.he[at]cc.gatech.edu / bhe46[at]gatech.edu
Selected Blogs
- Bing He, Rui Sun, Zhan Shi, Building and Aligning LLM using User Data and RL, Blog link, November 2025
- Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li and Haiyang Zhang, “Hierarchical Query Classification in E-commerce Search”, paper, ACM Web Conference (ACM WWW) 2024 (Acceptance Rate: 21.3%)
- Bing He, Mustaque Ahamad, Srijan Kumar, “Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation”, code and data, ACM Web Conference (ACM WWW) 2023 (Acceptance Rate: 365/1900=19.2%)
- Bing He, Mustaque Ahamad, Srijan Kumar, “PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models”, code and data, ACM SIGKDD 2021 (Acceptance Rate: 238/1541=15.4%)
Internship Experiences
- 2023.05 - 2023.08: Amazon Search, Palo Alto, California
- Applied Scientist Intern, Search Mission Understanding Team, Amazon Search/A9.com
- Hosts: Ms. Sreyash Nag, Dr. Limeng Cui, Dr. Zheng Li
- 2022.05 - 2022.08: Amazon Retail, San Diego, California
- Applied Scientist Intern, Machine Learning Accelerator Team, SPS
- Hosts: Dr. Shobeir Fakhraei, Mr. Akshay Kulkarni, Dr. Na Zhang, Dr. Chris Jones
- 2021.05 - 2021.08: Amazon Retail, San Diego, California
- Applied Scientist Intern, Machine Learning Accelerator Team, SPS
- Hosts: Ms. Veena Padmanabhan, Dr. Hyun Ah Song, Dr. Na Zhang, Dr. Chris Jones
