Bing He - RankMe

24 papers A* 2B 1Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision? CoRR Yingqian Cui, Zhenwei Dai, Bing He, Zhan Shi, Hui Liu, Rui Sun, Zhiji Liu, Yue Xing, Jiliang Tang, Benoît Dumoulin
2026	J	`jnl`	Position: Agentic Evolution is the Path to Evolving LLMs. CoRR Minhua Lin, Hanqing Lu, Zhan Shi, Bing He, Rui Mao, Zhiwei Zhang, Zongyu Wu, Xianfeng Tang, Hui Liu, Zhenwei Dai, Xiang Zhang, Suhang Wang, Benoît Dumoulin, Jian Pei
2025	J	`jnl`	A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators. ACM Trans. Knowl. Discov. Data Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar
2025	J	`jnl`	Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search. CoRR Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin
2025	J	`jnl`	ROBAD: Robust Adversary-aware Local-Global Attended Bad Actor Detection Sequential Model. CoRR Bing He, Mustaque Ahamad, Srijan Kumar
2025	J	`jnl`	TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use. CoRR Pengfei He, Zhenwei Dai, Bing He, Hui Liu, Xianfeng Tang, Hanqing Lu, Juanhui Li, Jiayuan Ding, Subhabrata Mukherjee, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin
2024	—	`conf`	Corrective or Backfire: Characterizing and Predicting User Response to Social Correction. WebSci Bing He, Yingchen Ma, Mustaque Ahamad, Srijan Kumar
2024	J	`jnl`	Corrective or Backfire: Characterizing and Predicting User Response to Social Correction. CoRR Bing He, Yingchen Ma, Mustaque Ahamad, Srijan Kumar
2024	—	`conf`	Hierarchical Query Classification in E-commerce Search. WWW (Companion Volume) Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang
2024	J	`jnl`	Hierarchical Query Classification in E-commerce Search. CoRR Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang
2024	—	`—`	Leveraging AI to Combat Misinformation by Empowering Crowds and Evaluating Detectors. Bing He
2023	J	`jnl`	A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators. CoRR Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar
2023	—	`conf`	Characterizing and Predicting Social Correction on Twitter. WebSci Yingchen Ma, Bing He, Nathan Subrahmanian, Srijan Kumar
2023	J	`jnl`	Characterizing and Predicting Social Correction on Twitter. CoRR Yingchen Ma, Bing He, Nathan Subrahmanian, Srijan Kumar
2023	A*	`conf`	Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation. WWW Bing He, Mustaque Ahamad, Srijan Kumar
2023	J	`jnl`	Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation. CoRR Bing He, Mustaque Ahamad, Srijan Kumar
2021	A*	`conf`	PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models. KDD Bing He, Mustaque Ahamad, Srijan Kumar
2021	J	`jnl`	PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models. CoRR Bing He, Mustaque Ahamad, Srijan Kumar
2021	B	`conf`	Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis. ASONAM Bing He, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, Srijan Kumar
2020	J	`jnl`	Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis. CoRR Caleb Ziems, Bing He, Sandeep Soni, Srijan Kumar
2020	—	`conf`	The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic. IEEE BigData Nicholas Micallef, Bing He, Srijan Kumar, Mustaque Ahamad, Nasir D. Memon
2020	J	`jnl`	The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic. CoRR Nicholas Micallef, Bing He, Srijan Kumar, Mustaque Ahamad, Nasir D. Memon
2018	—	`conf`	PBE: Driver Behavior Assessment Beyond Trajectory Profiling. ECML/PKDD (3) Bing He, Xiaolin Chen, Dian Zhang, Siyuan Liu, Dawei Han, Lionel M. Ni
2018	—	`conf`	Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit. IEEE BigData Bing He, Dian Zhang, Siyuan Liu, Hao Liu, Dawei Han, Lionel M. Ni