Shao, Jing

44 publications

NeurIPS 2025 Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens Are Information Peaks in LLM Reasoning Chen Qian, Dongrui Liu, Haochen Wen, Zhen Bai, Yong Liu, Jing Shao

NeurIPS 2025 EndoBench: 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

NeurIPS 2025 Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models Hao Cheng, Erjia Xiao, Jing Shao, Yichi Wang, Le Yang, Chao Shen, Philip Torr, Jindong Gu, Renjing Xu

ICML 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

ICLRW 2025 MAS-GPT: Training LLMs to Build LLM-Based Multi-Agent Systems Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Jing Shao, Siheng Chen

ICLR 2025 REEF: Representation Encoding Fingerprints for Large Language Models Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao

NeurIPS 2025 RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents Yang JingYi, Shuai Shao, Dongrui Liu, Jing Shao

CVPR 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

NeurIPS 2025 Systematic Reward Gap Optimization for Mitigating VLM Hallucinations Lehan He, Zeren Chen, Zhelun Shi, Tianyu Yu, Jing Shao, Lu Sheng

CVPR 2025 T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation Lijun Li, Zhelun Shi, Xuhao Hu, Bowen Dong, Yiran Qin, Xihui Liu, Lu Sheng, Jing Shao

ICML 2025 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, Ruimao Zhang

NeurIPSW 2024 Chain-of-Imagination for Reliable Instruction Following in Decision Making Enshen Zhou, Yiran Qin, Zhenfei Yin, Yuzhou Huang, Ruimao Zhang, Lu Sheng, Yu Qiao, Jing Shao

ECCV 2024 GTP-4o: Modality-Prompted Heterogeneous Graph Learning for Omni-Modal Biomedical Representation Chenxin Li, Xinyu Liu, Cheng Wang, Yifan Liu, Weihao Yu, Jing Shao, Yixuan Yuan

CVPR 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

NeurIPSW 2024 OASIS: Open Agents Social Interaction Simulations on One Million Agents Ziyi Yang, Zaibin Zhang, Zirui Zheng, Yuxian Jiang, Ziyue Gan, Zhiyu Wang, Zijian Ling, Konisberg, Martz Ma, Bowen Dong, Prateek Gupta, Shuyue Hu, Zhenfei Yin, Guohao Li, Xu Jia, Lijun Wang, Bernard Ghanem, Huchuan Lu, Wanli Ouyang, Yu Qiao, Philip Torr, Jing Shao

ICLR 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

NeurIPSW 2024 RH20T-P: A Primitive-Level Robotic Manipulation Dataset Towards Composable Generalization Agents in Real-World Scenarios Zeren Chen, Zhelun Shi, Xiaoya Lu, Lehan He, Sucheng Qian, Zhenfei Yin, Wanli Ouyang, Jing Shao, Yu Qiao, Cewu Lu, Lu Sheng

NeurIPS 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

CVPR 2023 Siamese DETR Zeren Chen, Gengshi Huang, Wei Li, Jianing Teng, Kun Wang, Jing Shao, Chen Change Loy, Lu Sheng

ECCV 2022 Benchmarking Omni-Vision Representation Through the Lens of Visual Realms Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu

ICMLW 2022 Democratizing Contrastive Language-Image Pre-Training: A CLIP Benchmark of Data, Model, and Supervision Yufeng Cui, Lichen Zhao, Feng Liang, Yangguang Li, Jing Shao

ECCV 2022 PalGAN: Image Colorization with Palette Generative Adversarial Networks Yi Wang, Menghan Xia, Lu Qi, Jing Shao, Yu Qiao

IJCAI 2022 RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-Training Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao

NeurIPS 2022 ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning Junting Pan, Ziyi Lin, Xiatian Zhu, Jing Shao, Hongsheng Li

ICLR 2022 Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-Training Paradigm Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan

ECCV 2022 Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu

ECCV 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

CVPR 2021 Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization Junting Pan, Siyu Chen, Mike Zheng Shou, Yu Liu, Jing Shao, Hongsheng Li

CVPR 2021 ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu

ECCV 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

ECCV 2020 Learning Connectivity of Neural Networks from a Topological Perspective Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan

AAAI 2020 Morphing and Sampling Network for Dense Point Cloud Completion Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, Shi-Min Hu

ECCV 2020 Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, Jing Shao

NeurIPS 2019 Learning to Predict Layout-to-Image Conditional Convolutions for Semantic Image Synthesis Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li

ECCV 2018 Improving Deep Visual Representation for Person Re-Identification by Global and Local Image-Language Association Dapeng Chen, Hongsheng Li, Xihui Liu, Yantao Shen, Jing Shao, Zejian Yuan, Xiaogang Wang

ECCV 2018 Show, Tell and Discriminate: Image Captioning by Self-Retrieval with Partially Labeled Data Xihui Liu, Hongsheng Li, Jing Shao, Dapeng Chen, Xiaogang Wang

ECCV 2018 Transductive Centroid Projection for Semi-Supervised Large-Scale Recognition Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang

ECCV 2018 Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao, Chen Change Loy

ICCV 2017 HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis Xihui Liu, Haiyu Zhao, Maoqing Tian, Lu Sheng, Jing Shao, Shuai Yi, Junjie Yan, Xiaogang Wang

ICCV 2017 Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification Zhongdao Wang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan, Shengjin Wang, Hongsheng Li, Xiaogang Wang

CVPR 2017 Spindle Net: Person Re-Identification with Human Body Region Guided Feature Decomposition and Fusion Haiyu Zhao, Maoqing Tian, Shuyang Sun, Jing Shao, Junjie Yan, Shuai Yi, Xiaogang Wang, Xiaoou Tang

CVPR 2016 Slicing Convolutional Neural Network for Crowd Video Understanding Jing Shao, Chen-Change Loy, Kai Kang, Xiaogang Wang

CVPR 2015 Deeply Learned Attributes for Crowded Scene Understanding Jing Shao, Kai Kang, Chen Change Loy, Xiaogang Wang

CVPR 2014 Scene-Independent Group Profiling in Crowd Jing Shao, Chen Change Loy, Xiaogang Wang