Zhenfei Yin

According to our database, Zhenfei Yin authored at least 49 papers between 2020 and 2025.

Collaborative distances:

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

2025

Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy.

Yuanhan Zhang, Qinghong Sun, Yichun Zhou, Zexin He, Zhenfei Yin, Kun Wang, Lu Sheng, Yu Qiao, Jing Shao, Ziwei Liu

Int. J. Comput. Vis., August, 2025

aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists.

Pengsong Zhang, Xiang Hu, Guowei Huang, Yang Qi, Heng Zhang, Xiuxu Li, Jiaxing Song, Jiabin Luo, Yijiang Li, Shuo Yin, Chengxiao Dai, Eric Hanchen Jiang, Xiaoyan Zhou, Zhenfei Yin, Boqin Yuan, Jing Dong, Guinan Su, Guanren Qiao, Haiming Tang, Anghong Du, Lili Pan, Zhenzhong Lan, Xinyu Liu

CoRR, August, 2025

VeriGUI: Verifiable Long-Chain GUI Dataset.

Shunyu Liu, Minghao Liu, Huichi Zhou, Zhenyu Cui, Yang Zhou, Yuhao Zhou, Wendong Fan, Ge Zhang, Jiajun Shi, Weihao Xuan, Jiaxing Huang, Shuang Luo, Fang Wu, Heli Qi, Qingcheng Zeng, Ziqi Ren, Jialiang Gao, Jindi Lv, Junjie Wang, Aosong Feng, Heng Zhou, Wangchunshu Zhou, Zhenfei Yin, Wenlong Zhang, Guohao Li, Wenhao Yu, Irene Li, Lei Ma, Lei Bai, Qunshu Lin, Mingli Song, Dacheng Tao

CoRR, August, 2025

When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems.

Qibing Ren, Sitao Xie, Longxuan Wei, Zhenfei Yin, Junchi Yan, Lizhuang Ma, Jing Shao

CoRR, July, 2025

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset.

Zhiheng Xi, Guanyu Li, Yutao Fan, Honglin Guo, Yufang Liu, Xiaoran Fan, Jiaqi Liu, Jingchao Ding, Wangmeng Zuo, Zhenfei Yin, Lei Bai, Tao Ji, Tao Gui, Qi Zhang, Philip Torr, Xuanjing Huang

CoRR, July, 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

CoRR, June, 2025

VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning.

Li Kang, Xiufeng Song, Heng Zhou, Yiran Qin, Jie Yang, Xiaohong Liu, Philip Torr, Lei Bai, Zhenfei Yin

CoRR, June, 2025

A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis.

Shengyuan Liu, Boyun Zheng, Wenting Chen, Zhihao Peng, Zhenfei Yin, Jing Shao, Jiancong Hu, Yixuan Yuan

CoRR, May, 2025

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

CoRR, May, 2025

X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs.

Rui Ye, Xiangrui Liu, Qimin Wu, Xianghe Pang, Zhenfei Yin, Lei Bai, Siheng Chen

CoRR, May, 2025

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems.

Rui Ye, Keduan Huang, Qimin Wu, Yuzhu Cai, Tian Jin, Xianghe Pang, Xiangrui Liu, Jiaqi Su, Chen Qian, Bohan Tang, Kaiqu Liang, Jiaao Chen, Yue Hu, Zhenfei Yin, Rongye Shi, Bo An, Yang Gao, Wenjun Wu, Lei Bai, Siheng Chen

CoRR, May, 2025

CompBench: Benchmarking Complex Instruction-guided Image Editing.

Bohan Jia, Wenxuan Huang, Yuntian Tang, Junbo Qiao, Jincheng Liao, Shaosheng Cao, Fei Zhao, Zhaopeng Feng, Zhouhong Gu, Zhenfei Yin, Lei Bai, Wanli Ouyang, Lin Chen, Fei Zhao, Zihan Wang, Yuan Xie, Shaohui Lin

CoRR, May, 2025

AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research.

Renqi Chen, Haoyang Su, Shixiang Tang, Zhenfei Yin, Qi Wu, Hui Li, Ye Sun, Nanqing Dong, Wanli Ouyang, Philip Torr

CoRR, May, 2025

Towards Physically Plausible Video Generation via VLM Planning.

Xindi Yang, Baolu Li, Yiming Zhang, Zhenfei Yin, Lei Bai, Liqian Ma, Zhiyong Wang, Jianfei Cai, Tien-Tsin Wong, Huchuan Lu, Xu Jia

CoRR, March, 2025

RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints.

Yiran Qin, Li Kang, Xiufeng Song, Zhenfei Yin, Xiaohong Liu, Xihui Liu, Ruimao Zhang, Lei Bai

CoRR, March, 2025

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems.

Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao

CoRR, March, 2025

ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks.

Heng Zhou, Hejia Geng, Xiangyuan Xue, Zhenfei Yin, Lei Bai

CoRR, March, 2025

Robust face anti-spoofing with Dual Probabilistic Modeling.

Yuanhan Zhang, Yichao Wu, Zhenfei Yin, Jing Shao, Ziwei Liu

Pattern Recognit., 2025

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models.

Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao

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

Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System.

Haoyang Su, Renqi Chen, Shixiang Tang, Zhenfei Yin, Xinzhe Zheng, Jinzhe Li, Biqing Qi, Qi Wu, Hui Li, Wanli Ouyang, Philip Torr, Bowen Zhou, Nanqing Dong

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens.

Zhuqiang Lu, Zhenfei Yin, Mengwei He, Zhihui Wang, Zicheng Liu, Zhiyong Wang, Kun Hu

CoRR, 2024

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review.

Rui Ye, Xianghe Pang, Jingyi Chai, Jiaao Chen, Zhenfei Yin, Zhen Xiang, Xiaowen Dong, Jing Shao, Siheng Chen

CoRR, 2024

OASIS: Open Agent Social Interaction Simulations with One Million Agents.

Ziyi Yang, Zaibin Zhang, Zirui Zheng, Yuxian Jiang, Ziyue Gan, Zhiyu Wang, Zijian Ling, Jinsong Chen, Martz Ma, Bowen Dong, Prateek Gupta, Shuyue Hu, Zhenfei Yin, Guohao Li, Xu Jia, Lijun Wang, Bernard Ghanem, Huchuan Lu, Chaochao Lu, Wanli Ouyang, Yu Qiao, Philip Torr, Jing Shao

CoRR, 2024

WorldSimBench: Towards Video Generation Models as World Simulators.

Yiran Qin, Zhelun Shi, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Wanli Ouyang, Ruimao Zhang

CoRR, 2024

Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation.

Haoyang Su, Renqi Chen, Shixiang Tang, Xinzhe Zheng, Jingzhe Li, Zhenfei Yin, Wanli Ouyang, Nanqing Dong

CoRR, 2024

GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing.

Yisong Xiao, Aishan Liu, QianJia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao

CoRR, 2024

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model.

Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao

CoRR, 2024

RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents.

Zeren Chen, Zhelun Shi, Xiaoya Lu, Lehan He, Sucheng Qian, Haoshu Fang, Zhenfei Yin, Wanli Ouyang, Jing Shao, Yu Qiao, Cewu Lu, Lu Sheng

CoRR, 2024

Assessment of Multimodal Large Language Models in Alignment with Human Values.

Zhelun Shi, Zhipin Wang, Hongxing Fan, Zaibin Zhang, Lijun Li, Yongting Zhang, Zhenfei Yin, Lu Sheng, Yu Qiao, Jing Shao

CoRR, 2024

MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control.

Enshen Zhou, Yiran Qin, Zhenfei Yin, Yuzhou Huang, Ruimao Zhang, Lu Sheng, Yu Qiao, Jing Shao

CoRR, 2024

Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models.

Dingning Liu, Xiaoshui Huang, Yuenan Hou, Zhihui Wang, Zhenfei Yin, Yongshun Gong, Peng Gao, Wanli Ouyang

CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.

Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang

CoRR, 2024

3D Point Cloud Pre-Training with Knowledge Distilled from 2D Images.

Yuan Yao, Yuanhan Zhang, Zhenfei Yin, Jiebo Luo, Wanli Ouyang, Xiaoshui Huang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE.

Zeren Chen, Ziqin Wang, Zhen Wang, Huayang Liu, Zhenfei Yin, Si Liu, Lu Sheng, Wanli Ouyang, Jing Shao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Depicting Beyond Scores: Advancing Image Quality Assessment Through Multi-modal Language Models.

Zhiyuan You, Zheyuan Li, Jinjin Gu, Zhenfei Yin, Tianfan Xue, Chao Dong

Proceedings of the Computer Vision - ECCV 2024, 2024

MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception.

Yiran Qin, Enshen Zhou, Qichang Liu, Zhenfei Yin, Lu Sheng, Ruimao Zhang, Yu Qiao, Jing Shao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models.

Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models.

Zhelun Shi, Zhipin Wang, Hongxing Fan, Zhenfei Yin, Lu Sheng, Yu Qiao, Jing Shao

CoRR, 2023

Octavius: Mitigating Task Interference in MLLMs via MoE.

Zeren Chen, Ziqin Wang, Zhen Wang, Huayang Liu, Zhenfei Yin, Si Liu, Lu Sheng, Wanli Ouyang, Yu Qiao, Jing Shao

CoRR, 2023

Latent Distribution Adjusting for Face Anti-Spoofing.

Qinghong Sun, Zhenfei Yin, Yichao Wu, Yuanhan Zhang, Jing Shao

CoRR, 2023

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark.

Zhenfei Yin, Jiong Wang, Jianjian Cao, Zhelun Shi, Dingning Liu, Mukai Li, Xiaoshui Huang, Zhiyong Wang, Lu Sheng, Lei Bai, Jing Shao, Wanli Ouyang

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

2022

3D Point Cloud Pre-training with Knowledge Distillation from 2D Images.

Yuan Yao, Yuanhan Zhang, Zhenfei Yin, Jiebo Luo, Wanli Ouyang, Xiaoshui Huang

CoRR, 2022

Benchmarking Omni-Vision Representation Through the Lens of Visual Realms.

Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation.

Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data.

Yujie Wang, Junqin Huang, Mengya Gao, Yichao Wu, Zhenfei Yin, Ding Liang, Junjie Yan

CoRR, 2021

INTERN: A New Learning Paradigm Towards General Vision.

Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao

CoRR, 2021

Few-Shot Domain Expansion for Face Anti-Spoofing.

Bowen Yang, Jing Zhang, Zhenfei Yin, Jing Shao

CoRR, 2021

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results.

Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu, Shuo Yang, Yuanjun Xiong, Wei Xia, Yan Xu, Man Luo, Jian Liu, Jianshu Li, Zhijun Chen, Mingyu Guo, Hui Li, Junfu Liu, Pengfei Gao, Tianqi Hong, Hao Han, Shijie Liu, Xinhua Chen, Di Qiu, Cheng Zhen, Dashuang Liang, Yufeng Jin, Zhanlong Hao

CoRR, 2021

2020

CelebA-Spoof: Large-Scale Face Anti-spoofing Dataset with Rich Annotations.

Yuanhan Zhang, Zhenfei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2020, 2020