I graduated from Central South University with a degree in Computer Science and Technology. I am currently a first-year joint Ph.D. student at Harbin Institute of Technology and Shanghai AI Laboratory, supervised by Wangmeng Zuo and Dongzhan Zhou. My primary research interests lie in AI for Science (AI4SCI) and Embodied AI.
If you are interested in connecting or discussing potential collaborations, feel free to email me.
🔥 News
- 2026.08: 🎉🎉 The N₀ series technical reports (N₀-Foundation, N₀-VTLA, N₀-TWAM) are released!
- 2026.05: 🎉🎉 Our paper “LabBuilder” is accepted by ICML 2026!
- 2025.09: 🎉🎉 Our paper “LabUtopia” is accepted by NeurIPS 2025!
- 2025.07: 🎉🎉 Our paper “CFSSeg” is accepted by ACM MM 2025!
- 2024.10: 🎉🎉 My first paper is accepted by BIBM 2024.
- 2024.09: 🎉🎉 Excited to join the Shanghai AI Laboratory as a Ph.D. student in AI4Science.
📝 Publications
†: Corresponding Author , *: Equal Contribution
N₀-Foundation: Towards the Age of Tactile Intelligence
Rui Li (Core Contributor), NeoteAI Team, Fudan TEAI Team
Technical Report, 2026
A tactile-centric foundation for embodied manipulation that unifies scalable tactile hardware, 30,000+ hours of multimodal data across six embodiments, transferable tactile representations, and standardized real-world and simulated benchmarks.
N₀-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens
Rui Li (Data Processing), NeoteAI Team, Fudan TEAI Team
Technical Report, 2026
A vision-tactile-language-action foundation model for contact-rich manipulation that predicts future tactile tokens and improves offline from demonstrations, failures, human corrections, and recoveries.
Paper | ArXiv | Homepage | Code | Checkpoints
N₀-TWAM: Scaling Tactile-Native World Action Model for Contact-Rich Manipulation
Rui Li (Pretraining), NeoteAI Team, Fudan TEAI Team
Technical Report, 2026
A tactile-native world-action model that jointly predicts future vision, touch, and action, combining anticipatory and observed tactile pathways for contact-rich manipulation.
Paper | ArXiv | Homepage | Code | Checkpoints
LabBuilder: Protocol-Grounded 3D Layout Generation for Interactable and Safe Laboratory
Jianbao Cao, Zhangrui Zhao, Bohan Feng, Zixuan Hu, Rui Li, Haiyuan Wan, Chenxi Li, Jingyuan Li, Wenzhe Cai, Lei Bai, Wanli Ouyang, Lingyu Duan, Di Huang, Mingting Pan, Sha Zhang, Xinzhu Ma, Shixiang Tang†, Dongzhan Zhou†
International Conference on Machine Learning (ICML), 2026
LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories
Baochang Ren, Xinjie Liu, Xi Chen, Yanshuo Liu, Chenxi Li, Daqi Gao, Zeqin Su, Jintao Xing, Zirui Xue, Rui Li, Xiangyu Zhao, Shuofei Qiao, Minting Pan, Wangmeng Zuo, Lei Bai, Dongzhan Zhou, Ningyu Zhang, Huajun Chen
Preprint, 2026
LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents
Rui Li*, Zixuan Hu, Wenxi Qu, Jinouwen Zhang, Zhenfei Yin, Sha Zhang, Xuantuo Huang, Hanqing Wang, Tai Wang, Jiangmiao Pang, Wanli Ouyang, Lei Bai, Wangmeng Zuo, Ling-Yu Duan†, Dongzhan Zhou†, Shixiang Tang†
NeurIPS 2025 Dataset and Benchmark Track
CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds
Jiaxu Li*, Rui Li*, Jianyu Qi, Songning Lai, Linpu Lv, Kejia Fan, Jianheng Tang, Yutao Yue, Dongzhan Zhou, Yuanhuai Liu, Huiping Zhuang†
ACM International Conference on Multimedia (ACM MM), 2025
Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI
Sha Zhang, Suorong Yang, Tong Xie, Xiangyuan Xue, Zixuan Hu, Rui Li, Wenxi Qu, Zhenfei Yin, Tianfan Fu, Di Hu, Andres M Bran, Nian Ran, Bram Hoex, Wangmeng Zuo, Philippe Schwaller, Wanli Ouyang, Lei Bai, Yanyong Zhang, Lingyu Duan, Shixiang Tang, Dongzhan Zhou
Preprint, 2025
AIDC: Benchmark for Analytical Learning in Incremental Disease Classification
Rongchang Zhao, Jianyu Qi, Rui Li, Zhijie Zheng,Jian Zhang,Jiaxu Li†
2025 IEEE International Conference on Acoustics, Speech, and Signal Processing
HFGS: High-Frequency Information Guided Net for Multi-Regions Pseudo-CT Synthesis
Rongchang Zhao, Jianyu Qi, Rui Li, Teng Yang, Jiaxu Li, Jian Zhang, and Zijian Zhang†
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024.