I am an Assistant Professor in Institute of Trustworthy Embodied AI at Fudan University（复旦大学可信具身智能研究院） and a member of Fudan Vision and Learning Lab（复旦大学视觉与学习实验室，FVL）. I received my Ph.D. from THUIR, Department of Computer Science and Technology in Tsinghua University, Beijing, China.
My major research interests are about multimodel computing, Web search, large language models, and embodied AI. My goal is to build an intelligent system that can understand human needs, perform human-like behaviors, and interact with humans more effectively. My primary areas of interest include:
- Multimodal Computing: Developing models that can understand and integrate diverse sensory inputs (vision, language, touch, human signals, etc.) to perform complex, human-like tasks.
- Human-AI Interaction: Exploring intuitive and effective ways for autonomous agents to collaborate and communicate with human.
- Cognition of AI: Investigating how cognitive abilities and complex behaviors emerge in AI system through evolutionary processes.
I am actively looking for self-motivated students to join my research group. If you are passionate about building the future of AI and Human, please feel free to reach out. 本人依托复旦大学可信具身智能研究院和视觉与学习实验室，正积极招募有自驱力的学生加入研究团队，诚邀有志于揭示人类智能与机器智能的认知基础、推动人机智能深度协同交互的同学随时沟通（邮箱：zyye@fudan.edu.cn）。
🔥 News
- 2026.01, our paper titled Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery is accepted by ICRA 2026.
- 2026.01, our paper titled SLEEP2VEC: Unified Cross-modal Alignment for Heterogeneous Nocturnal Biosignals is accepted by ICLR 2026.
- 2025.10, I was invited to join the discussion about World Model at CCF YOCSEF. News
- 2025.10, I gave an invited talk about AI System Empowered by Neuro Feedback at Computational Neuro-Linguistics Forum.Video
- 2025.08, I gave an invited talk about "Tips for New Researchers" at NLPCC 2025. Slides
- 2025.08, our paper titled SimVBG: Simulating Individual Values by Backstory Generation is accepted by EMNLP 2025.
- 2025.05, our paper titled EEG reveals the cognitive impact of polarized content in short video scenarios is available in Nature Scientific Reports.
- 2025.04, thrilled to announce that I have three co-authered paper accepted by SIGIR 2025, titled Brain Image Reconstruction with Retrieval-Augmented Diffusion, Parametric Retrieval Augmented Generation, and Understanding the Effect of Opinion Polarization in Short Video Browsing.
- 2025.04, I will attend ICLR 2025 in person for our paper titled Learning LLM-as-a-Judge for Preference Alignment.
- 2025.03, our paper titled Generative Language Reconstruction from Brain Recordings is published in Nature Communications Biology.
- 2024.09, our paper titled Pre-trained Model for EEG-based Emotion Recognition won the Best Paper Nomination at CCIR 2024.
- 2023.12, I gave an invited talk in the Institute of Information in University of Amsterdam about Language Generation from Brain Recordings. Slide
- 2023.07, I gave an invited talk to Lenovo Inc about Context-based Brain Decoding. Slide
- 2023.09, I gave an invited talk in Machine Learning Section of Copenhagen University about Brain-Computer Interface for Search. Slide
📝 Publications
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ICRA 2026
- Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery
- Yichang Liu, Tianyu Wang, Ziyi Ye, Yawei Li, Yanwei Fu, Yu-gang Jiang, Shouyan Wang
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EMNLP 2025
- SimVBG: Simulating Individual Values by Backstory Generation
- Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu
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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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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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ICLR 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. |
📝 Academic Service
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Journal Reviewer: Nature, Nature Comm. Bio., Nature Dis. Com., ACM TOIS, ACM TKDD, ACM TOMM, SCIS
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Conference Senior PC / PC Member: ICLR, NeurIPS, ICML, SIGIR, WWW, ACM MM, CVPR, CIKM, KDD, ACL, EMNLP
-Other Service: CCIR Student Contact (2024.8–2025.8)
🎖 Honors and Awards
- 2025, Ph.D. Dissertation Award of ACM Shanghai.
- 2025, Ph.D. Dissertation Award of CIPS.
- 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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EEG-Imagenet Dataset. In our Paper EEG-imagenet: An electroencephalogram dataset and benchmarks with image visual stimuli of multi-granularity labels.
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EEG-SVC Dataset. In our SIGIR’25 Full paper EEG-svrec: An eeg dataset with user multidimensional affective engagement labels in short video recommendation.
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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.