Bing He

According to our database, Bing He authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Hierarchical Query Classification in E-commerce Search.

Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Corrective or Backfire: Characterizing and Predicting User Response to Social Correction.

Bing He, Yingchen Ma, Mustaque Ahamad, Srijan Kumar

Proceedings of the 16th ACM Web Science Conference, 2024

2023

A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators.

Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar

CoRR, 2023

Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation.

Bing He, Mustaque Ahamad, Srijan Kumar

Proceedings of the ACM Web Conference 2023, 2023

Characterizing and Predicting Social Correction on Twitter.

Yingchen Ma, Bing He, Nathan Subrahmanian, Srijan Kumar

Proceedings of the 15th ACM Web Science Conference 2023, 2023

2021

PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models.

Bing He, Mustaque Ahamad, Srijan Kumar

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.

Bing He, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, Srijan Kumar

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.

Caleb Ziems, Bing He, Sandeep Soni, Srijan Kumar

CoRR, 2020

The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic.

Nicholas Micallef, Bing He, Srijan Kumar, Mustaque Ahamad, Nasir D. Memon

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

PBE: Driver Behavior Assessment Beyond Trajectory Profiling.

Bing He, Xiaolin Chen, Dian Zhang, Siyuan Liu, Dawei Han, Lionel M. Ni

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit.

Bing He, Dian Zhang, Siyuan Liu, Hao Liu, Dawei Han, Lionel M. Ni

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018