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 002 (ECCV (12), 2020)

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results. - Yuanhan Zhang; Zhenfei Yin; Jing Shao; Ziwei Liu 002; Shuo Yang 003; Yuanjun Xiong; Wei Xia; Yan Xu; Man Luo; Jian Liu 036; Jianshu Li; Zhijun Chen; et al. (CoRR, 2021)

Few-Shot Domain Expansion for Face Anti-Spoofing. - Bowen Yang; Jing Zhang 017; Zhenfei Yin; Jing Shao (CoRR, 2021)

INTERN: A New Learning Paradigm Towards General Vision. - Jing Shao; Siyu Chen; Yangguang Li 001; Kun Wang; Zhenfei Yin; Yinan He; Jianing Teng; Qinghong Sun; Mengya Gao; Jihao Liu; Gengshi Huang; Guanglu Song; et al. (CoRR, 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)

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 002; Yu Qiao 001; Jing Shao (ECCV (26), 2022)

Benchmarking Omni-Vision Representation Through the Lens of Visual Realms. - Yuanhan Zhang; Zhenfei Yin; Jing Shao; Ziwei Liu 002 (ECCV (7), 2022)

3D Point Cloud Pre-training with Knowledge Distillation from 2D Images. - Yuan Yao; Yuanhan Zhang; Zhenfei Yin; Jiebo Luo 001; Wanli Ouyang; Xiaoshui Huang (CoRR, 2022)

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 001; Lu Sheng; Lei Bai 001; Jing Shao; Wanli Ouyang (NeurIPS, 2023)

Latent Distribution Adjusting for Face Anti-Spoofing. - Qinghong Sun; Zhenfei Yin; Yichao Wu; Yuanhan Zhang; Jing Shao (CoRR, 2023)

Octavius: Mitigating Task Interference in MLLMs via MoE. - Zeren Chen; Ziqin Wang; Zhen Wang 003; Huayang Liu; Zhenfei Yin; Si Liu 001; Lu Sheng; Wanli Ouyang; Yu Qiao 001; Jing Shao (CoRR, 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 001; Jing Shao (CoRR, 2023)

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. - Chen Qian 006; Jie Zhang 074; Wei Yao 017; Dongrui Liu; Zhenfei Yin; Yu Qiao 001; Yong Liu 007; Jing Shao (ACL (Findings), 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 001; Jing Shao (CVPR, 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 005 (ECCV (47), 2024)

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE. - Zeren Chen; Ziqin Wang; Zhen Wang 003; Huayang Liu; Zhenfei Yin; Si Liu 001; Lu Sheng; Wanli Ouyang; Jing Shao (ICLR, 2024)

3D Point Cloud Pre-Training with Knowledge Distilled from 2D Images. - Yuan Yao; Yuanhan Zhang; Zhenfei Yin; Jiebo Luo 001; Wanli Ouyang; Xiaoshui Huang (ICME, 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 006; Guodong Zheng; Hongxing Fan; Hongzhi Gao; Jie Zhang 074; Jing Shao; Jingyi Deng; Jinlan Fu; Kexin Huang; Kunchang Li 002; Lijun Li; et al. (CoRR, 2024)

Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models. - Dingning Liu; Xiaoshui Huang; Yuenan Hou; Zhihui Wang 001; Zhenfei Yin; Yongshun Gong; Peng Gao 007; Wanli Ouyang (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 001; Jing Shao (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 001; 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 001; Cewu Lu; Lu Sheng (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 001; Xuanjing Huang 001; Feng Zhao 004; Tao Gui; et al. (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 001; Dacheng Tao (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 001; Jingzhe Li; Zhenfei Yin; Wanli Ouyang; Nanqing Dong (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 001; Wanli Ouyang; et al. (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; et al. (CoRR, 2024)

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review. - Rui Ye 001; Xianghe Pang; Jingyi Chai; Jiaao Chen; Zhenfei Yin; Zhen Xiang; Xiaowen Dong 001; Jing Shao; Siheng Chen (CoRR, 2024)

B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens. - Zhuqiang Lu; Zhenfei Yin; Mengwei He; Zhihui Wang 001; Zicheng Liu; Zhiyong Wang 001; Kun Hu (CoRR, 2024)

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 001; Jinzhe Li; Biqing Qi; Qi Wu; Hui Li 037; Wanli Ouyang; Philip Torr 001; Bowen Zhou 002; et al. (ACL (1), 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 001; Xuanjing Huang 001; Feng Zhao 004; Tao Gui; et al. (CVPR, 2025)

Robust face anti-spoofing with Dual Probabilistic Modeling. - Yuanhan Zhang; Yichao Wu; Zhenfei Yin; Jing Shao; Ziwei Liu 002 (Pattern Recognit., 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 001 (CoRR, 2025)

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems. - Rui Ye 001; Shuo Tang; Rui Ge 008; Yaxin Du; Zhenfei Yin; Siheng Chen; Jing Shao (CoRR, 2025)

RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints. - Yiran Qin; Li Kang; Xiufeng Song; Zhenfei Yin; Xiaohong Liu 001; Xihui Liu; Ruimao Zhang; Lei Bai 001 (CoRR, 2025)

Towards Physically Plausible Video Generation via VLM Planning. - Xindi Yang; Baolu Li; Yiming Zhang; Zhenfei Yin; Lei Bai 001; Liqian Ma; Zhiyong Wang 001; Jianfei Cai 001; Tien-Tsin Wong; Huchuan Lu; Xu Jia 012 (CoRR, 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 037; Ye Sun; Nanqing Dong; Wanli Ouyang; Philip Torr 001 (CoRR, 2025)

CompBench: Benchmarking Complex Instruction-guided Image Editing. - Bohan Jia; Wenxuan Huang 001; Yuntian Tang; Junbo Qiao; Jincheng Liao; Shaosheng Cao; Fei Zhao; Zhaopeng Feng; Zhouhong Gu; Zhenfei Yin; Lei Bai 001; Wanli Ouyang; et al. (CoRR, 2025)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems. - Rui Ye 001; Keduan Huang; Qimin Wu; Yuzhu Cai; Tian Jin; Xianghe Pang; Xiangrui Liu; Jiaqi Su; Chen Qian; Bohan Tang; Kaiqu Liang; Jiaao Chen; et al. (CoRR, 2025)

X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs. - Rui Ye 001; Xiangrui Liu; Qimin Wu; Xianghe Pang; Zhenfei Yin; Lei Bai 001; Siheng Chen (CoRR, 2025)

LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents. - Rui Li; Zixuan Hu; Wenxi Qu; Jinouwen Zhang; Zhenfei Yin; Sha Zhang 002; Xuantuo Huang; Hanqing Wang; Tai Wang; Jiangmiao Pang; Wanli Ouyang; Lei Bai 001; et al. (CoRR, 2025)

A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis. - Shengyuan Liu; Boyun Zheng; Wenting Chen; Zhihao Peng 002; Zhenfei Yin; Jing Shao; Jiancong Hu; Yixuan Yuan (CoRR, 2025)

VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning. - Li Kang; Xiufeng Song; Heng Zhou; Yiran Qin; Jie Yang; Xiaohong Liu 001; Philip Torr 001; Lei Bai 001; Zhenfei Yin (CoRR, 2025)

Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI. - Sha Zhang 002; Suorong Yang; Tong Xie; Xiangyuan Xue; Zixuan Hu; Rui Li; Wenxi Qu; Zhenfei Yin; Tianfan Fu; Di Hu 001; Andres M. Bran; Nian Ran; et al. (CoRR, 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 001; Tao Ji; et al. (CoRR, 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, 2025)

VeriGUI: Verifiable Long-Chain GUI Dataset. - Shunyu Liu 001; Minghao Liu 003; Huichi Zhou; Zhenyu Cui; Yang Zhou; Yuhao Zhou; Wendong Fan; Ge Zhang 009; Jiajun Shi; Weihao Xuan; Jiaxing Huang 001; Shuang Luo; et al. (CoRR, 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; et al. (CoRR, 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 001; Jing Shao; Ziwei Liu 002 (Int. J. Comput. Vis., 2025)