Fei Ni倪飞

MSCA Postdoctoral Fellow · Imperial College London

I am a Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellow and Research Associate at Imperial College London, working with Prof. Stefanos Zafeiriou and Prof. Jiankang Deng, supported by the European Union's Horizon Europe programme. Before that, I obtained my Ph.D. from Tianjin University under the supervision of Prof. Jianye Hao, and my Master's and Bachelor's degrees from Huazhong University of Science and Technology, supervised by Prof. Kun He.

My research lies at the intersection of Embodied Intelligence, Multimodal Large Models, and Reinforcement Learning. I am especially interested in vision-language-action models, long-horizon robotic manipulation, generalist embodied agents, diffusion-based decision making, and benchmarks & evaluation for embodied AI — with the broader goal of bridging large language models with robotic control to develop generalizable approaches for embodied intelligence in the real world.

I am always happy to discuss research and explore potential collaborations — feel free to reach out via email.

Fei Ni

News

Selected PublicationsGoogle Scholar ↗

* denotes equal contribution.

Publications

2026
From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation
Yifu Yuan, Haiqin Cui, Yibin Chen, Zibin Dong, Fei Ni, Longxin Kou, Jinyi Liu, Pengyi Li, Yan Zheng, Jianye Hao.
International Conference on Learning Representations (ICLR), 2026.
CellAgent: An LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis
Yihang Xiao, Jinyi Liu, Yan Zheng, Shaoqing Jiao, Jianye Hao, Xiaohan Xie, Mingzhi Li, Ruitao Wang, Fei Ni, Yuxiao Li, Zhen Wang, Xuequn Shang, Zhijie Bao, Changxiao Yang, Jiajie Peng.
International Conference on Learning Representations (ICLR), 2026.
AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search
Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, et al.
ACM Web Conference (WWW), 2026.
2025
Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI
Fei Ni, Min Zhang, Pengyi Li, Yifu Yuan, et al. (37 authors).
Embodied Arena Benchmark Technical Report, 2025.
RADAR: Robust Anomaly Detection And Recovery for Robot Manipulation
Fei Ni, Rui Liu, Longxin Kou, Jianye Hao.
ICCV 2025 MMFM Workshop.
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering
Rong Cheng, Jinyi Liu, Yan Zheng, Fei Ni, Jiazhen Du, Hangyu Mao, Fuzheng Zhang, Bo Wang, Jianye Hao.
Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models
Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao, Hangyu Mao, Fuzheng Zhang.
ACM Web Conference (WWW), 2025. Oral
SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates
Xi Zeng, Fei Ni, Shaoqing Jiao, Dazhi Lu, Jianye Hao, Jiajie Peng.
AAAI Conference on Artificial Intelligence (AAAI), 2025.
2024
AlignDiff: Aligning Diverse Human Preferences Via Behavior-Customisable Diffusion Model
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu.
International Conference on Learning Representations (ICLR), 2024.
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng.
Conference on Neural Information Processing Systems (NeurIPS) Datasets & Benchmarks Track, 2024.
DiffuserLite: Towards Real-time Diffusion Planning
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng.
Conference on Neural Information Processing Systems (NeurIPS), 2024.
2023
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan.
International Conference on Learning Representations (ICLR), 2023.
2022
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning
Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo.
Advances in Neural Information Processing Systems (NeurIPS), 2022.
SplitNet: A Reinforcement Learning based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem
Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao.
AAAI Conference on Artificial Intelligence (AAAI), 2022.
2021
Adaptive Simulated Annealing with Greedy Search for the Circle Bin Packing Problem
Kun He, Kevin Tole, Fei Ni, Yong Yuan, Linyun Liao.  (corresponding author)
Computers & Operations Research (COR), 2021.

Preprints

UniForce: A Unified Latent Force Model for Robot Manipulation with Diverse Tactile Sensors
Zhuo Chen, Fei Ni, Kaiyao Luo, Zhiyuan Wu, Xuyang Zhang, et al.
arXiv preprint, 2026.
ActionCodec: What Makes for Good Action Tokenizers
Zibin Dong, Yicheng Liu, Shiduo Zhang, Baijun Ye, Yifu Yuan, Fei Ni, et al.
arXiv preprint, 2026.
EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation
Zibin Dong, Fei Ni, Yifu Yuan, Yinchuan Li, Jianye Hao.
arXiv preprint arXiv:2505.10105, 2025.

Education & Profession

Honors & Awards

Invited Talks

Academic Service

Conference Reviewer: CVPR, ICML, NeurIPS, ICLR, AAAI, AISTATS, AAMAS, ICCV.

Journal Reviewer: TPAMI, IEEE T-RO, Pattern Recognition, IEEE TNNLS, KBS, IEEE TCYB, JAAMAS.