• I am an Applied Scientist II at AWS Amazon Q Developer/CodeLLM team. I obtained my CS PhD from Georgia Institute of Technology and was co-advised by Prof. Srijan Kumar and Prof. Mustaque Ahamad
• During my PhD study, my research areas are Machine Learning and Natural Language Processing (NLP). My research topic is to design advanced NLP methods to characterize, detect, and mitigate incorrect and harmful contents generated by: (1) human, e.g., misinformation, fake news, hate speech, rumor, and fraud; (2) machines, e.g., hallucinations in/alignment of/evaluation of Large Language Models (LLMs).
  • Methodology: Multi-task Learning, Reinforcement Learning, Few-shot Learning, Representation learning
  • Application: Text Classification, Text Generation, Computational Social Science
• Contact: bhe46@gatech.edu

Selected Publications [Google Scholar]

1. Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li and Haiyang Zhang, “Hierarchical Query Classification in E-commerce Search”, ACM Web Conference (ACM WWW) 2024 (Acceptance Rate: 21.3%)
2. 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%)
3. 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

Academic Services

Program Committee/Reviewer: IJCAI 2023, ACM SIGKDD 2023, ACM FAccT 2023, AAAI AI4SG 2023, AAAI ICWSM 2023, TheWebConf (ACM WWW) 2023, TheWebConf CySoc 2023, PACIS 2023, COLLA 2023, CMC(J) 2023, INFOCOMP 2023, ACM CSCW 2023, DIS 2023, ISMAR 2023, IEEE/ACM ASONAM 2023,AAAI ICWSM 2022, ACM CSCW 2022, CySoc 2022, Cyberc 2022, JENRS 2022, CMC(J) 2022, AAAI ICWSM 2021, ACII 2021, AAAI ICWSM 2020, MAISoN 2020, TTO 2020, IEEE ICPADS 2018, ACM CIKM 2017

I am always open to collaborations, both academia and industry. If you have some interesting ideas or want to have a chat, feel free to contact me! Let’s make it.