Yu, Baosheng

28 publications

ICLR 2026 AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs Xiang Feng, Wentao Jiang, Zengmao Wang, Yong Luo, Pingbo Xu, Baosheng Yu, Hua Jin, Jing Zhang

ICLR 2026 ContextPRM: Leveraging Contextual Coherence for Multi-Domain Test-Time Scaling Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Likang Xiao, Yanwei Ren, Quan Chen, Xianglong Liu

ICCV 2025 Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Mian Zou, Nan Zhong, Baosheng Yu, Yibing Zhan, Kede Ma

NeurIPS 2025 SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation Yanwei Ren, Haotian Zhang, Fuxiang Wu, Jiayan Qiu, Jiaxing Huang, Baosheng Yu, Liu Liu

IJCAI 2024 MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He

ECCV 2024 Visual Relationship Transformation Xiaoyu Xu, Jiayan Qiu, Baosheng Yu, Zhou Wang

ICCV 2023 Knowledge-Aware Federated Active Learning with Non-IID Data Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao

CVPR 2023 Learnable Skeleton-Aware 3D Point Cloud Sampling Cheng Wen, Baosheng Yu, Dacheng Tao

CVPR 2022 BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning Zhi Hou, Baosheng Yu, Dacheng Tao

CVPR 2022 Contrastive Boundary Learning for Point Cloud Segmentation Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao

ECCV 2022 Discovering Human-Object Interaction Concepts via Self-Compositional Learning Zhi Hou, Baosheng Yu, Dacheng Tao

TMLR 2022 GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation Haibo Qiu, Baosheng Yu, Dacheng Tao

ECCV 2022 Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu

CVPR 2022 Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du

ECCV 2022 MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He

AAAI 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du

CVPR 2021 Affordance Transfer Learning for Human-Object Interaction Detection Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao

NeurIPS 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong

CVPR 2021 Detecting Human-Object Interaction via Fabricated Compositional Learning Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao

CVPR 2021 Learning Progressive Point Embeddings for 3D Point Cloud Generation Cheng Wen, Baosheng Yu, Dacheng Tao

ICCV 2021 Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du

ICCV 2021 SynFace: Face Recognition with Synthetic Data Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao

ICCV 2021 TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li

AAAI 2020 Unsupervised Domain Adaptation on Reading Comprehension Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou

ICCV 2019 Deep Metric Learning with Tuplet Margin Loss Baosheng Yu, Dacheng Tao

ECCV 2018 Correcting the Triplet Selection Bias for Triplet Loss Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao

AAAI 2016 Linear Submodular Bandits with a Knapsack Constraint Baosheng Yu, Meng Fang, Dacheng Tao

AAAI 2016 Submodular Asymmetric Feature Selection in Cascade Object Detection Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin