I am an Assistant Professor in Institute of Trustworthy Embodied AI at Fudan University. I received my Ph.D. from THUIR, Department of Computer Science and Technology in Tsinghua University, Beijing, China. My supervisor is Prof. Yiqun Liu. My major research interests are about Web search, large language models, and embodied AI. My current research focuses on Large Language Models and Embodied AI, my primary areas of interest include:
- Multimodal Large Models: Developing foundational models that can understand and integrate diverse sensory inputs (vision, language, touch, human signals, etc.) to perform complex tasks.
- Human-AI Interaction: Exploring intuitive and effective ways for humans to collaborate and communicate with autonomous agents.
- Cognition and Evolution of AI: Investigating how cognitive abilities and complex behaviors emerge in AI system through evolutionary processes.
I served as a reviewer and SPC/PC member for Nature Comm. Bio., ICLR, Neurips, TOIS, SIGIR, WWW, MM, CIKM, TOMM, and KDD. I am the CCIR Student Contact since 2024, please contact me if you have any questions about IR matters.
I am actively looking for self-motivated students to join my research group. If you are passionate about building the future of AI, please feel free to reach out.
🔥 News
- 8.2025, our paper titled SimVBG: Simulating Individual Values by Backstory Generation is accepted by EMNLP 2025.
- 5.2025, our paper titled EEG reveals the cognitive impact of polarized content in short video scenarios is available in Nature Scientific Reports.
- 4.2025, thrilled to announce that I have three co-authered paper accepted by SIGIR 2025.
- 4.2025, I will attend ICLR 2025 in person for our paper titled Learning LLM-as-a-Judge for Preference Alignment.
- 3.2025, our paper titled Generative Language Reconstruction from Brain Recordings is published in Nature Communications Biology.
- 9.2024, our paper titled Pre-trained Model for EEG-based Emotion Recognition won the Best Paper Nomination at CCIR 2024.
- 12.2023, I gave an invited talk in the Institute of Information in University of Amsterdam about Language Generation from Brain Recordings. Slide
- 07.2023, I gave an invited talk to Lenovo Inc about Context-based Brain Decoding. Slide
- 09.2023, I gave an invited talk in Machine Learning Section of Copenhagen University about Brain-Computer Interface for Search. Slide
📝 Publications
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SIGIR 2025
- Brain Image Reconstruction with Retrieval-Augmented Diffusion
- Shuqi Zhu, Ziyi Ye, Yi Zhong, Qingyao Ai, Yujia Zhou, Yiqun Liu
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SIGIR 2025
- Parametric Retrieval Augmented Generation
- Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu
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Arxiv 2025
- LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
- Haitao Li, Qian Dong, Junjie Chen, Huixue Su, Yujia Zhou, Qingyao Ai, Ziyi Ye, Yiqun Liu
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Dissertation
- My Ph.D.'s dissertation: Brain Computer Interface for Information Retrieval
- Relevant papers are published in Nature Commun. Biol. , SIGIR, Multimedia , TOIS, and etc.
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SIGIR 2025
- Learning LLM-as-a-Judge for Preference Alignment
- Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu
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Nature Communications Biology
- Generative Language Reconstruction from Brain Recordings
- Ziyi Ye, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Min Zhang, Christina Lioma, and Tuukka Ruotsalo
📖 Experience
| Year | Experience |
|---|---|
| 08.2025- | Assistant Professor, Institute of Trustworthy Embodied AI, Fudan University, China. |
| 08.2020-06.2025 | Ph.D. student, Department of Computer Science and Technology, Tsinghua University, China. |
| 11.2023-02.2024 | Guest Ph.D. student, Institute of Informatics, University of Amsterdam, Netherlands. |
| 07.2023-11.2023 | Guest Ph.D. student, Department of Computer Science (DIKU) and the Pioneer Centre for AI, University of Copenhagen, Denmark. |
| 08.2016-07.2020 | B.S. student, Department of Computer Science and Technology, Tsinghua University, China. |
🎖 Honors and Awards
- 2025, Outstanding Graduate of Beijing.
- 2025, Qihang Gold Award, Tsinghua University.
- 2022, China National Scholarship, Chinese Government.
- 2017, 2018, 2023, 2024. Overall Excellence Scholarship, Tsinghua University.
- 2019, Academic Excellence Scholarship, Tsinghua University.
- 2016, Silver medal in Chinese Mathematical Olympiad(CMO), China Mathematical Federation.
📚 Teaching Experience
- 2024. Teaching assistant at GenAI summer school, Tsinghua University. (Instructor of “Retrieval-argumented generation”.)
- 2020-2025. Teaching assistant at “Fundamental Search Engine”, Tsinghua University.
🏆 Competitions
- We won the 1st place in TASK 2 (Relevant Statue Retrieval Task) of AILA 2019 (Artificial Intelligence for Legal Assisstance). Working Notes.
- We won the 1st place in the NTCIR-15 Micro-activity Retrieval Task. Working Notes.
📊 Datasets
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Search-Brainwave Dataset. In our SIGIR’22 Full Paper Why Don’t You Click: Understanding Non-Click Results in Web Search with Brain Signals.
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UERCM Dataset. In our The Web Conf’22 Full Paper Towards a Better Understanding of Human Reading Comprehension with Brain Signals.
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TianGong-CRL Dataset. In our ASIST’20 Poster Investigating COVID-19-Related Query Logs of Chinese Search Engine Users.