Bing He

Orcid: 0000-0002-4369-1150

Affiliations:
  • Georgia Institute of Technology, GA, USA


According to our database1, Bing He authored at least 13 papers between 2018 and 2025.

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Bibliography

2025
ROBAD: Robust Adversary-aware Local-Global Attended Bad Actor Detection Sequential Model.
CoRR, July, 2025

A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators.
ACM Trans. Knowl. Discov. Data, January, 2025

2024
Leveraging AI to Combat Misinformation by Empowering Crowds and Evaluating Detectors.
PhD thesis, 2024

Hierarchical Query Classification in E-commerce Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Corrective or Backfire: Characterizing and Predicting User Response to Social Correction.
Proceedings of the 16th ACM Web Science Conference, 2024

2023
Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation.
Proceedings of the ACM Web Conference 2023, 2023

Characterizing and Predicting Social Correction on Twitter.
Proceedings of the 15th ACM Web Science Conference 2023, 2023

2021
PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis.
CoRR, 2020

The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018
PBE: Driver Behavior Assessment Beyond Trajectory Profiling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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