- 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%)
- Bing He, Yingchen Ma, Mustaque Ahamad, Srijan Kumar, “Corrective or Backfire: Characterizing and Predicting User Response to Social Correction”, The ACM Web Science Conference 2024, ACM WebSci 2024
- Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar, “A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators”, paper collections, survey, arXiv preprint arXiv:2310.02095 2023
- Bing He, Mustaque Ahamad, Srijan Kumar, “Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation”, code and data, paper, The ACM Web Conference, ACM WWW 2023 (Acceptance Rate: 365/1900=19.2%)
- Yingchen Ma, Bing He, Nathan Subrahmanian, Srijan Kumar, “Characterizing and Predicting Social Correction on Twitter”, code and data, paper, The ACM Web Science Conference 2023, ACM WebSci 2023
- Bing He, Mustaque Ahamad, Srijan Kumar, “PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models”, code and data, paper, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM SIGKDD 2021 (Acceptance Rate: 238/1541=15.4%)
- Bing He, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, Srijan Kumar, “Racism is a virus: Anti-asian Hate and Counterspeech in Social Media during the Covid-19 Crisis”, code and data, paper, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, IEEE/ACM ASONAM 2021
- Nicholas Micallef∗, Bing He∗, Srijan Kumar, Mustaque Ahamad, Nasir Memon, “The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic”, code and data, paper, IEEE International Conference on Big Data, IEEE BigData 2020 (∗ equal contribution)
- Bing He, Xiaolin Chen, Dian Zhang, Siyuan Liu, Dawei Han, Lionel M Ni, “PBE: Driver Behavior Assessment Beyond Trajectory Profiling”, paper, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2018
- Bing He, Dian Zhang, Siyuan Liu, Hao Liu, Dawei Han, Lionel M Ni, “Profiling driver behavior for personalized insurance pricing and maximal profit”, paper, IEEE International Conference on Big Data, IEEE Big Data 2018
