Hello, I am Peiyuan Gong (公培元, in Chinese). Feel free to call me Pei Yuan. I am a third-year Ph.D. student at the Gaoling School of Artificial Intelligence, Renmin University of China, under the supervision of Jiaxin Mao. Before that, I received M.Eng and B.Eng degrees in Computer Science and Technology from Beijing Institute of Technology in 2023 and from Zhengzhou University in 2020, respectively.
My research focuses on information retrieval and human-AI interaction, having published several papers at the top international AI conferences such as SIGIR, WWW, ACL, EMNLP. Currently, I am dedicated to exploring the next generation of search engine with large language models.
Currently, I am the CEO of WanYan (万言, in Chinese), an AI+Search startup. Our product is built around the Agentic SERP, where every user query triggers parallel responses from multiple AI agents. We believe that this approach can identify a near-optimal solution for user queries from the current pool of agents. Moreover, for merchants without agent-building capabilities, we provide virtual sales agents that integrate enterprise knowledge and engage users within the Agentic SERP to recommend their products.
We are excited to partner with AI agents of diverse capabilities on WanYan, offering them meaningful exposure and real business growth. If you’d like to sell your services or products on our platform, get in touch with us. We’ll create a custom sales agent for you for free—so you can reach more users and dramatically boost your lead conversion rates.
🔥 News
- 2026.01: 🎉🎉 One paper is accepted by WWW2026!
- 2025.12: 🎉🎉 WanYan is now live, delivering an Agentic SERP instead of a single agent result for user queries. Feel free to try it!
- 2025.03: 🎉🎉 One paper is accepted by SIGIR2025!
- 2024.09: 🎉🎉 We are hosting a task on “Legal Element and Controversy Focus Identification (法律要素和争议焦点识别)” at the CAIL 2024 competition and warmly invite everyone to participate (CAIL 2024)!
- 2024.07: 🎉🎉 Our paper titled “CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models” was selected as a nominee for the Best Short Paper Award of SIGIR 2024 (Twitter)!
- 2024.03: 🎉🎉 Two papers are accepted by SIGIR2024!
- 2023.05: 🎉🎉 One paper is accepted by ACL2023!
- 2023.03: 🎉🎉 I will join Renmin University of China to study for Ph.D!
- 2022.11: 🎉🎉 One paper is accepted by EMNLP2022!
📝 Publications
WWW 2026CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms, Peiyuan Gong*, Feiran Zhu*, Yaqi Yin*, Chenglei Dai, Chao Zhang, Kai Zheng, Wentian Bao, Jiaxin Mao and Yi ZhangSIGIR 2025Exploring human-like thinking in search simulations with large language models, Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin and Jiaxin MaoSIGIR 2024[Best Short Paper Nominee] CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models, Peiyuan Gong, Jiamian Li and Jiaxin Mao | ProjectSIGIR 2024USimAgent: Large Language Models for Simulating Search Users, Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Zixuan Yang and Jiaxin MaoACL 2023[Oral] TemplateGEC: Improving Grammatical Error Correction with Detection Template, Yinghao Li, Xuebo Liu, Shuo Wang, Peiyuan Gong, Derek F.Wong, Yang Gao, Heyan Huang and Min Zhang | Projectarxiv 2023/12CoAScore: Chain-of-Aspects Prompting for NLG Evaluation, Peiyuan Gong, Jiaxin MaoEMNLP 2022Revisiting Grammatical Error Correction Evaluation and Beyond, Peiyuan Gong, Xuebo Liu, Heyan Huang and Min Zhang | ProjectNLPCC 2019Charge Prediction with Legal Attention, Qiaoben bao, Hongying Zan, Peiyuan Gong, Junyi Chen and Yanghua Xiao
📖 Educations
- 2023.09 - 2027.06 (hope), Ph.D, Gaoling School of Artificial Intelligence, Renmin University of China, advised by Associate Prof Jiaxin Mao.
- 2020.09 - 2023.06, Master, School of Copmuter Science and Technology, Beijing Institute of Technology, advised by Prof Heyan Huang and Associate Prof Xianling mao.
- 2016.09 - 2020.06, Undergraduate, School of Computer and Artificial Intelligence, Zhengzhou University, advised by Prof Hongying Zan.
💻 Internships
- 2025.12 - present, ByteDance Lark Search, Beijing, advised by Xing Shi
- 2024.10 - 2025.11, Kuaishou Technology, Beijing, advised by Chenglei Dai, Kai Zheng
- 2022.10 - 2023.08, Renmin University of China, Beijing, advised by Associate Prof Jiaxin Mao.
- 2022.03 - 2022.07, Harbin Institute of Technology, Shenzhen (remote), advised by Assistant Prof Xuebo Liu.
- 2021.10 - 2022.02, Wechat AI, Beijing, advised by Yong Hu.
- 2019.06 - 2019.08, Westlake University, Hangzhou, advised by Prof Yue Zhang.
🎖 Honors and Awards
- 2024, SIGIR Best Short Paper Nominee