Shaofei Cai

According to our database, Shaofei Cai authored at least 33 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems.

Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, Meng Li

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

Steering Visuomotor Policy in Open Worlds via Cross-View Goal Alignment.

Shaofei Cai, Zhancun Mu, Anji Liu, Yitao Liang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents.

Shaofei Cai, Yulei Qin, Haojia Lin, Zihan Xu, Gang Li, Yuchen Shi, Zongyi Li, Yong Mao, Siqi Cai, Xiaoyu Tan, Yitao Liang, Ke Li, Xing Sun

CoRR, December, 2025

CUARewardBench: A Benchmark for Evaluating Reward Models on Computer-using Agent.

Haojia Lin, Xiaoyu Tan, Yulei Qin, Zihan Xu, Yuchen Shi, Zongyi Li, Gang Li, Shaofei Cai, Siqi Cai, Chaoyou Fu, Ke Li, Xing Sun

CoRR, October, 2025

UniCode: A Framework for Generating High Quality Competitive Coding Problems.

Xinyue Zheng, Haowei Lin, Shaofei Cai, Zilong Zheng, Yitao Liang

CoRR, October, 2025

Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning.

Yulei Qin, Xiaoyu Tan, Zhengbao He, Gang Li, Haojia Lin, Zongyi Li, Zihan Xu, Yuchen Shi, Siqi Cai, Renting Rui, Shaofei Cai, Yuzheng Cai, Xuan Zhang, Sheng Ye, Ke Li, Xing Sun

CoRR, September, 2025

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents.

Shaofei Cai, Zhancun Mu, Haiwen Xia, Bowei Zhang, Anji Liu, Yitao Liang

CoRR, July, 2025

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective.

Yifan Zhong, Fengshuo Bai, Shaofei Cai, Xuchuan Huang, Zhang Chen, Xiaowei Zhang, Yuanfei Wang, Shaoyang Guo, Tianrui Guan, Ka Nam Lui, Zhiquan Qi, Yitao Liang, Yuanpei Chen, Yaodong Yang

CoRR, July, 2025

Toward Memory-Aided World Models: Benchmarking via Spatial Consistency.

Kewei Lian, Shaofei Cai, Yilun Du, Yitao Liang

CoRR, May, 2025

JARVIS-1: Open-World Multi-Task Agents With Memory-Augmented Multimodal Language Models.

Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Open-World Skill Discovery from Unsegmented Demonstrations.

Jingwen Deng, Zihao Wang, Shaofei Cai, Anji Liu, Yitao Liang

CoRR, March, 2025

ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment.

Shaofei Cai, Zhancun Mu, Anji Liu, Yitao Liang

CoRR, March, 2025

Semantic and Correlation Disentangled Graph Convolutions for Multilabel Image Recognition.

Shaofei Cai, Liang Li, Xinzhe Han, Shan Huang, Qi Tian, Qingming Huang

IEEE Trans. Neural Networks Learn. Syst., January, 2025

GROOT-2: Weakly Supervised Multimodal Instruction Following Agents.

Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Open-World Skill Discovery from Unsegmented Demonstration Videos.

Jingwen Deng, Zihao Wang, Shaofei Cai, Anji Liu, Yitao Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting.

Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Inductive State-Relabeling Adversarial Active Learning With Heuristic Clique Rescaling.

Beichen Zhang, Liang Li, Shuhui Wang, Shaofei Cai, Zheng-Jun Zha, Qi Tian, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

MineStudio: A Streamlined Package for Minecraft AI Agent Development.

Shaofei Cai, Zhancun Mu, Kaichen He, Bowei Zhang, Xinyue Zheng, Anji Liu, Yitao Liang

CoRR, 2024

GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents.

Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang

CoRR, 2024

Optimizing Latent Goal by Learning from Trajectory Preference.

Guangyu Zhao, Kewei Lian, Haowei Lin, Haobo Fu, Qiang Fu, Shaofei Cai, Zihao Wang, Yitao Liang

CoRR, 2024

ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting.

Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang

CoRR, 2024

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents.

Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian (Shawn) Ma, Yitao Liang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GROOT: Learning to Follow Instructions by Watching Gameplay Videos.

Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents.

Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang

CoRR, 2023

DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings.

Bingchuan Li, Shaofei Cai, Wei Liu, Peng Zhang, Qian He, Miao Hua, Zili Yi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents.

Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Ma, Yitao Liang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction.

Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Automatic Relation-aware Graph Network Proliferation.

Shaofei Cai, Liang Li, Xinzhe Han, Jiebo Luo, Zheng-Jun Zha, Qingming Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing.

Bingchuan Li, Shaofei Cai, Wei Liu, Peng Zhang, Miao Hua, Qian He, Zili Yi

CoRR, 2021

Edge-featured Graph Neural Architecture Search.

Shaofei Cai, Liang Li, Xinzhe Han, Zhengjun Zha, Qingming Huang

CoRR, 2021

Rethinking Graph Neural Network Search from Message-passing.

Shaofei Cai, Liang Li, Jincan Deng, Beichen Zhang, Zheng-Jun Zha, Li Su, Qingming Huang

CoRR, 2021

Rethinking Graph Neural Architecture Search From Message-Passing.

Shaofei Cai, Liang Li, Jincan Deng, Beichen Zhang, Zheng-Jun Zha, Li Su, Qingming Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning.

Zhenhuan Liu, Jincan Deng, Liang Li, Shaofei Cai, Qianqian Xu, Shuhui Wang, Qingming Huang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020