Baosheng Yu

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 92

Top Venues

University of Sydney, Australia (PHD)

Education History

University of Sydney, Australia

PHD

Publications

Linfei Wang, Yibing Zhan, Wei Liu, Baosheng Yu, Dapeng Tao
Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression. IEEE Trans. Multim. 26 (2024)
Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method. CoRR (2024)
Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. CoRR (2024)
Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Dacheng Tao
Hierarchical Multi-Attention Transfer for Knowledge Distillation. ACM Trans. Multim. Comput. Commun. Appl. 20 (2) (2024)
Jianping Gou, Nannan Xie, Jinhua Liu, Baosheng Yu, Weihua Ou, Zhang Yi, Wu Chen
Hierarchical graph augmented stacked autoencoders for multi-view representation learning. Inf. Fusion 102 (2024)
Jianping Gou, Yu Chen, Baosheng Yu, Jinhua Liu, Lan Du, Shaohua Wan, Zhang Yi
Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation. IEEE Trans. Multim. 26 (2024)
Haoran Wang, Yajie Wang, Baosheng Yu, Yibing Zhan, Chunfeng Yuan, Wankou Yang
Attentional Composition Networks for Long-Tailed Human Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20 (1) (2024)
Jianping Gou, Xin He, Lan Du, Baosheng Yu, Wenbai Chen, Zhang Yi
Hierarchical Locality-Aware Deep Dictionary Learning for Classification. IEEE Trans. Multim. 26 (2024)
Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yi, Dacheng Tao
Federated Distillation: A Survey. CoRR (2024)
Jianping Gou, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, Dacheng Tao
Collaborative Knowledge Distillation via Multiknowledge Transfer. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Haibo Qiu, Baosheng Yu, Yixin Chen, Dacheng Tao
PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation. CoRR (2023)
Wenyuan Xue, Dapeng Chen, Baosheng Yu, Yifei Chen, Sai Zhou, Wei Peng
ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition. CoRR (2023)
Yu Yao, Baosheng Yu, Chen Gong, Tongliang Liu
Understanding How Pretraining Regularizes Deep Learning Algorithms. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling
Free-Form Composition Networks for Egocentric Action Recognition. CoRR (2023)
Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis. CoRR (2023)
Cheng Wen, Baosheng Yu, Dacheng Tao
Learnable Skeleton-Aware 3D Point Cloud Sampling. CVPR (2023)
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling. CoRR (2023)
Haibo Qiu, Baosheng Yu, Dacheng Tao
Collect-and-Distribute Transformer for 3D Point Cloud Analysis. CoRR (2023)
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Yibing Zhan, Zhang Yi
Channel-Correlation-Based Selective Knowledge Distillation. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
Domain-Specific Risk Minimization for Domain Generalization. KDD (2023)
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
On exploring node-feature and graph-structure diversities for node drop graph pooling. Neural Networks 167 (2023)
Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Baosheng Yu, Dacheng Tao
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning. CoRR (2023)
Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao
Knowledge-Aware Federated Active Learning with Non-IID Data. ICCV (2023)
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
Region-adaptive Concept Aggregation for Few-shot Visual Recognition. Mach. Intell. Res. 20 (4) (2023)
Zhi Hou, Baosheng Yu, Dacheng Tao
Compositional 3D Human-Object Neural Animation. CoRR (2023)
Zhiqiu Xia, Chunpeng Wang, Yongwei Li, Baosheng Yu, Yibing Zhan, Qi Li, Xingyuan Wang, Bin Ma
Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments. J. Frankl. Inst. 360 (7) (2023)
Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Weihua Ou, Zhang Yi
Multilevel Attention-Based Sample Correlations for Knowledge Distillation. IEEE Trans. Ind. Informatics 19 (5) (2023)
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao
Multi-target Knowledge Distillation via Student Self-reflection. Int. J. Comput. Vis. 131 (7) (2023)
Cheng Wen, Baosheng Yu, Rao Fu, Dacheng Tao
Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach. CoRR (2023)
Jianping Gou, Xia Yuan, Baosheng Yu, Jiali Yu, Zhang Yi
Intra- and Inter-Class Induced Discriminative Deep Dictionary Learning for Visual Recognition. IEEE Trans. Multim. 25 (2023)
Haibo Qiu, Baosheng Yu, Dacheng Tao
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation. Trans. Mach. Learn. Res. 2022 (2022)
Yaqian Liang, Fazhi He, Xiantao Zeng, Baosheng Yu
Feature-preserved convolutional neural network for 3D mesh recognition. Appl. Soft Comput. 128 (2022)
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao
Contrastive Boundary Learning for Point Cloud Segmentation. CoRR (2022)
Qixun Zhang, Baosheng Yu, Zhiyong Feng
Research and verification of sensing information assisted millimeter wave beam tracking algorithm for automated vehicles. ISACom@MobiCom (2022)
Xia Yuan, Jianping Gou, Baosheng Yu, Jiali Yu, Zhang Yi
Deep Dictionary Learning with An Intra-class Constraint. CoRR (2022)
Xia Yuan, Jianping Gou, Baosheng Yu, Jiali Yu, Zhang Yi
Deep Dictionary Learning with an Intra-Class Constraint. ICME (2022)
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. AAAI (2022)
Zhi Hou, Baosheng Yu, Dacheng Tao
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning. CoRR (2022)
Baosheng Yu, Dacheng Tao
Heatmap Regression via Randomized Rounding. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. ECCV (25) (2022)
Kehan Li, Chao Li, Baosheng Yu, Zhangchong Shen, Qiming Zhang, Shibo He, Jiming Chen
Model and Transfer Spatial-Temporal Knowledge for Fine-Grained Radio Map Reconstruction. IEEE Trans. Cogn. Commun. Netw. 8 (2) (2022)
Yu-Tong Cao, Jingya Wang, Ye Shi, Baosheng Yu, Dacheng Tao
Knowledge-Aware Federated Active Learning with Non-IID Data. CoRR (2022)
Zhi Hou, Baosheng Yu, Dacheng Tao
Discovering Human-Object Interaction Concepts via Self-Compositional Learning. CoRR (2022)
Yu-Tong Cao, Jingya Wang, Baosheng Yu, Dacheng Tao
Responsible Active Learning via Human-in-the-loop Peer Study. CoRR (2022)
Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He
Exploring High-Order Structure for Robust Graph Structure Learning. CoRR (2022)
Haibo Qiu, Baosheng Yu, Dacheng Tao
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation. CoRR (2022)
Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. CoRR (2022)
Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR (2022)
Yi-Fan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
Domain-Specific Risk Minimization. CoRR (2022)
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao
Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. MMSP (2022)
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao
Contrastive Boundary Learning for Point Cloud Segmentation. CVPR (2022)
Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu
Dual-branch Density Ratio Estimation for Signed Network Embedding. WWW (2022)
Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning. CoRR (2022)
Haoran Wang, Baosheng Yu, Jiaqi Li, Linlin Zhang, Dongyue Chen
Multi-Stream Interaction Networks for Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32 (5) (2022)
Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis. ECCV (3) (2022)
Yibing Zhan, Zhi Chen, Jun Yu, Baosheng Yu, Dacheng Tao, Yong Luo
Hyper-relationship Learning Network for Scene Graph Generation. CoRR (2022)
Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. CVPR (2022)
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation. CoRR (2022)
Zhi Hou, Baosheng Yu, Dacheng Tao
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning. CVPR (2022)
Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis. CoRR (2022)
Yangyang Shu, Baosheng Yu, Hai-Ming Xu, Lingqiao Liu
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism. CoRR (2022)
Zhi Hou, Baosheng Yu, Dacheng Tao
Discovering Human-Object Interaction Concepts via Self-Compositional Learning. ECCV (27) (2022)
Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
Affordance Transfer Learning for Human-Object Interaction Detection. CoRR (2021)
Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. NeurIPS (2021)
Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition. CoRR (2021)
Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
Detecting Human-Object Interaction via Fabricated Compositional Learning. CoRR (2021)
Jianping Gou, Baosheng Yu, Stephen J. Maybank, Dacheng Tao
Knowledge Distillation: A Survey. Int. J. Comput. Vis. 129 (6) (2021)
Liyuan Sun, Jianping Gou, Baosheng Yu, Lan Du, Dacheng Tao
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer. CoRR (2021)
Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
Detecting Human-Object Interaction via Fabricated Compositional Learning. CVPR (2021)
Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao
SynFace: Face Recognition with Synthetic Data. ICCV (2021)
Wenyuan Xue, Siqi Cai, Wen Wang, Qingyong Li, Baosheng Yu, Yibing Zhan, Dacheng Tao
A Question Answering System for Unstructured Table Images. ACM Multimedia (2021)
Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
Affordance Transfer Learning for Human-Object Interaction Detection. CVPR (2021)
Haoran Wang, Baosheng Yu, Kun Xia, Jiaqi Li, Xin Zuo
Skeleton edge motion networks for human action recognition. Neurocomputing 423 (2021)
Cheng Wen, Baosheng Yu, Dacheng Tao
Learning Progressive Point Embeddings for 3D Point Cloud Generation. CVPR (2021)
Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du
Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. ICCV (2021)
Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao
SynFace: Face Recognition with Synthetic Data. CoRR (2021)
Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition. ICCV (2021)
Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks. CoRR (2021)
Baosheng Yu, Dacheng Tao
Heatmap Regression via Randomized Rounding. CoRR (2020)
Jianping Gou, Baosheng Yu, Stephen John Maybank, Dacheng Tao
Knowledge Distillation: A Survey. CoRR (2020)
Kehan Li, Jiming Chen, Baosheng Yu, Zhangchong Shen, Chao Li, Shibo He
Supreme: Fine-grained Radio Map Reconstruction via Spatial-Temporal Fusion Network. IPSN (2020)
Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou
Unsupervised Domain Adaptation on Reading Comprehension. AAAI (2020)
Yang Liu, Fanyou Wu, Baosheng Yu, Zhiyuan Liu, Jieping Ye
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution. CoRR (2019)
Baosheng Yu, Dacheng Tao
Anchor Cascade for Efficient Face Detection. IEEE Trans. Image Process. 28 (5) (2019)
Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou
Unsupervised Domain Adaptation on Reading Comprehension. CoRR (2019)
Baosheng Yu, Dacheng Tao
Deep Metric Learning With Tuplet Margin Loss. ICCV (2019)
Dapeng Tao, Yanan Guo, Baosheng Yu, Jianxin Pang, Zhengtao Yu
Deep Multi-View Feature Learning for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 28 (10) (2018)
Baosheng Yu, Dacheng Tao
Anchor Cascade for Efficient Face Detection. CoRR (2018)
Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao
Correcting the Triplet Selection Bias for Triplet Loss. ECCV (6) (2018)
Baosheng Yu, Meng Fang, Dacheng Tao
Linear Submodular Bandits with a Knapsack Constraint. AAAI (2016)
Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin
Submodular Asymmetric Feature Selection in Cascade Object Detection. AAAI (2016)
Baosheng Yu, Meng Fang, Dacheng Tao
Per-Round Knapsack-Constrained Linear Submodular Bandits. Neural Comput. 28 (12) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Baosheng Yu