Baosheng Yu

146 papers A* 25A 1C 1Misc 1Journal 108Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Axial-View-Oriented Contrastive Adversarial Training for Robust Point Cloud Recognition.
IEEE Trans. Inf. Forensics Secur.
Jie Gui, Yu-Xin Zhang, Xiaofeng Cong, Baosheng Yu, Zhipeng Gui, Yuan Yan Tang, James Tin-Yau Kwok
2026 A* conf
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction.
AAAI
Kanxue Li, Yibing Zhan, Hua Jin, Chongchong Qi, Xu Lin, Baosheng Yu
2026 J jnl
Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy.
Int. J. Comput. Vis.
Yu-Xin Zhang, Jie Gui, Baosheng Yu, Xiaofeng Cong, Xin Gong, Wenbing Tao, Dacheng Tao
2026 J jnl
Evaluating large language models for real-world perioperative clinical consultation.
Neurocomputing
Yanhong Li, Yibing Zhan, Baosheng Yu, Pingbo Xu, LiJing Chen, Chong Zhang, Chengli Zhou, Yunkai Zhang, Xiongbin Wang, Dapeng Tao
2026 J jnl
Mind the data: Evaluating data quality sensitivity in medical LLMs.
Pattern Recognit. Lett.
Xiaodong Han, Yibing Zhan, Jun Ni, Baosheng Yu, Dapeng Tao
2026 J jnl
PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation.
CoRR
Wanyin Wu, Kanxue Li, Baosheng Yu, Haoyun Zhao, Yibing Zhan, Dapeng Tao, Hua Jin
2026 J jnl
Recycling Failures: Salvaging Exploration in RLVR via Fine-Grained Off-Policy Guidance.
CoRR
Yanwei Ren, Haotian Zhang, Likang Xiao, Xikai Zhang, Jiaxing Huang, Jiayan Qiu, Baosheng Yu, Quan Chen, Liu Liu
2026 A* conf
Remodeling Semantic Relationships in Vision-Language Fine-Tuning.
AAAI
Xiangyang Wu, Liu Liu, Baosheng Yu, Jiayan Qiu, Zhenwei Shi
2026 J jnl
SteelDefectX: A Coarse-to-Fine Vision-Language Dataset and Benchmark for Generalizable Steel Surface Defect Detection.
CoRR
Shuxian Zhao, Jie Gui, Baosheng Yu, Lu Dong, Zhipeng Gui
2026 J jnl
TimeAPN: Adaptive Amplitude-Phase Non-Stationarity Normalization for Time Series Forecasting.
CoRR
Yue Hu, Jialiang Tang, Siwei Yu, Baosheng Yu, Jing Zhang, Dacheng Tao
2026 J jnl
Toward Fine-Grained Facial Control in 3D Talking Head Generation.
CoRR
Shaoyang Xie, Xiaofeng Cong, Baosheng Yu, Zhipeng Gui, Jie Gui, Yuan Yan Tang, James Tin-Yau Kwok
2026 J jnl
Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation.
CoRR
Zhiyao Ren, Yibing Zhan, Siyuan Liang, Guozheng Ma, Baosheng Yu, Dacheng Tao
2025 J jnl
A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions.
CoRR
Shuxian Zhao, Jie Gui, Minjing Dong, Baosheng Yu, Zhipeng Gui, Lu Dong, Yuan Yan Tang, James Tin-Yau Kwok
2025 J jnl
AnesBench: Multi-Dimensional Evaluation of LLM Reasoning in Anesthesiology.
CoRR
Xiang Feng, Wentao Jiang, Zengmao Wang, Yong Luo, Pingbo Xu, Baosheng Yu, Hua Jin, Bo Du, Jing Zhang
2025 J jnl
Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese.
IEEE Trans. Emerg. Top. Comput. Intell.
Bohao Zhou, Yibing Zhan, Zhonghai Wang, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Weifeng Liu, Xiongbin Wang, Dapeng Tao
2025 J jnl
Bi-Level Optimization for Self-Supervised AI-Generated Face Detection.
CoRR
Mian Zou, Nan Zhong, Baosheng Yu, Yibing Zhan, Kede Ma
2025 J jnl
ContextPRM: Leveraging Contextual Coherence for multi-domain Test-Time Scaling.
CoRR
Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Likang Xiao, Yanwei Ren, Quan Chen, Xianglong Liu
2025 J jnl
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction.
CoRR
Kanxue Li, Yibing Zhan, Hua Jin, Chongchong Qi, Xu Lin, Baosheng Yu
2025 J jnl
Distilling interaction knowledge for semi-supervised egocentric action recognition.
Pattern Recognit.
Haoran Wang, Jiahao Yang, Baosheng Yu, Yibing Zhan, Dapeng Tao, Haibin Ling
2025 J jnl
Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection.
IEEE Trans. Emerg. Top. Comput. Intell.
Linfei Wang, Yibing Zhan, Xu Lin, Baosheng Yu, Liang Ding, Jianqing Zhu, Dapeng Tao
2025 J jnl
Fine-Tuning LLMs for Anesthesiology via Compositional Data Generation.
IEEE Trans. Emerg. Top. Comput. Intell.
Yanhong Li, Yibing Zhan, Baosheng Yu, Zhonghai Wang, Chong Zhang, Da Zhu, Chengli Zhou, Bohao Zhou, Liang Ding, Weifeng Liu, Xiongbin Wang, Dapeng Tao
2025 A* conf
FingerVeinSyn-5M: A Million-Scale Dataset and Benchmark for Finger Vein Recognition.
ACM Multimedia
Yifan Wang, Jie Gui, Baosheng Yu, Qi Li, Zhenan Sun, Juho Kannala, Guoying Zhao
2025 J jnl
FingerVeinSyn-5M: A Million-Scale Dataset and Benchmark for Finger Vein Recognition.
CoRR
Yinfan Wang, Jie Gui, Baosheng Yu, Qi Li, Zhenan Sun, Juho Kannala, Guoying Zhao
2025 J jnl
Graph Convolutional Networks With Collaborative Feature Fusion for Sequential Recommendation.
IEEE Trans. Big Data
Jianping Gou, Youhui Cheng, Yibing Zhan, Baosheng Yu, Weihua Ou, Zhang Yi
2025 J jnl
Hypnos: A domain-specific large language model for anesthesiology.
Neurocomputing
Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu
2025 J jnl
Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs.
CoRR
Yanwei Ren, Liu Liu, Baosheng Yu, Jiayan Qiu, Quan Chen
2025 J jnl
Intra-class progressive and adaptive self-distillation.
Neural Networks
Jianping Gou, Jiaye Lin, Lin Li, Weihua Ou, Baosheng Yu, Zhang Yi
2025 J jnl
LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning.
CoRR
Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Yanwei Ren, Xianglong Liu
2025 J jnl
Learning to Explore Sample Relationships.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao
2025 J jnl
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching.
CoRR
Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng
2025 J jnl
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching.
IEEE Trans. Image Process.
Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng
2025 J jnl
Neighborhood relation-based knowledge distillation for image classification.
Neural Networks
Jianping Gou, Xiaomeng Xin, Baosheng Yu, Heping Song, Weiyong Zhang, Shaohua Wan
2025 J jnl
PointWavelet: Learning in Spectral Domain for 3-D Point Cloud Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao
2025 J jnl
Pseudo Contrastive Learning for graph-based semi-supervised learning.
Neurocomputing
Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Lining Xing, Baosheng Yu, Dacheng Tao
2025 J jnl
Re-Initialization Token Learning for Tool-Augmented Large Language Models.
CoRR
Chenghao Li, Liu Liu, Baosheng Yu, Jiayan Qiu, Yibing Zhan
2025 J jnl
Remodeling Semantic Relationships in Vision-Language Fine-Tuning.
CoRR
Xiangyang Wu, Liu Liu, Baosheng Yu, Jiayan Qiu, Zhenwei Shi
2025 J jnl
Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation.
CoRR
Zhiyao Ren, Yibing Zhan, Baosheng Yu, Dacheng Tao
2025 J jnl
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation.
CoRR
Yanwei Ren, Haotian Zhang, Fuxiang Wu, Jiayan Qiu, Jiaxing Huang, Baosheng Yu, Liu Liu
2025 J jnl
SPOGW: a Score-based Preference Optimization method via Group-Wise comparison for workflows.
CoRR
Yitong Cui, Liu Liu, Baosheng Yu, Jiayan Qiu, Xikai Zhang, Likang Xiao, Yixing Liu, Quan Chen
2025 Misc conf
Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies.
ICASSP
Mian Zou, Baosheng Yu, Yibing Zhan, Kede Ma
2025 J jnl
Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies.
CoRR
Mian Zou, Baosheng Yu, Yibing Zhan, Kede Ma
2025 J jnl
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method.
IEEE Trans. Inf. Forensics Secur.
Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma
2025 J jnl
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach.
IEEE Trans. Circuits Syst. Video Technol.
Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma
2025 A* conf
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract).
ICDE
Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2025 J jnl
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation.
CoRR
Zheng Zhang, Ning Li, Qi Liu, Rui Li, Weibo Gao, Qingyang Mao, Zhenya Huang, Baosheng Yu, Dacheng Tao
2024 J jnl
Attentional Composition Networks for Long-Tailed Human Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl.
Haoran Wang, Yajie Wang, Baosheng Yu, Yibing Zhan, Chunfeng Yuan, Wankou Yang
2024 J jnl
Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression.
IEEE Trans. Multim.
Linfei Wang, Yibing Zhan, Wei Liu, Baosheng Yu, Dapeng Tao
2024 J jnl
Collaborative Knowledge Distillation via Multiknowledge Transfer.
IEEE Trans. Neural Networks Learn. Syst.
Jianping Gou, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, Dacheng Tao
2024 J jnl
Federated Distillation: A Survey.
CoRR
Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yi, Dacheng Tao
2024 J jnl
Free-Form Composition Networks for Egocentric Action Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling
2024 J jnl
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation.
CoRR
Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao
2024 J jnl
Hierarchical Locality-Aware Deep Dictionary Learning for Classification.
IEEE Trans. Multim.
Jianping Gou, Xin He, Lan Du, Baosheng Yu, Wenbai Chen, Zhang Yi
2024 J jnl
Hierarchical Multi-Attention Transfer for Knowledge Distillation.
ACM Trans. Multim. Comput. Commun. Appl.
Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Dacheng Tao
2024 J jnl
Hierarchical graph augmented stacked autoencoders for multi-view representation learning.
Inf. Fusion
Jianping Gou, Nannan Xie, Jinhua Liu, Baosheng Yu, Weihua Ou, Zhang Yi, Wu Chen
2024 A* conf
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models.
IJCAI
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
2024 — conf
Progressive Retinal Image Registration via Global and Local Deformable Transformations.
BIBM
Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng
2024 J jnl
Progressive Retinal Image Registration via Global and Local Deformable Transformations.
CoRR
Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng
2024 J jnl
Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation.
IEEE Trans. Multim.
Jianping Gou, Yu Chen, Baosheng Yu, Jinhua Liu, Lan Du, Shaohua Wan, Zhang Yi
2024 — conf
Self-Distillation via Intra-Class Compactness.
PRCV (1)
Jiaye Lin, Lin Li, Baosheng Yu, Weihua Ou, Jianping Gou
2024 J jnl
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method.
CoRR
Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma
2024 J jnl
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach.
CoRR
Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma
2024 J jnl
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2024 — conf
Visual Relationship Transformation.
ECCV (65)
Xiaoyu Xu, Jiayan Qiu, Baosheng Yu, Zhou Wang
2023 J jnl
Channel-Correlation-Based Selective Knowledge Distillation.
IEEE Trans. Cogn. Dev. Syst.
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Yibing Zhan, Zhang Yi
2023 J jnl
ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition.
CoRR
Wenyuan Xue, Dapeng Chen, Baosheng Yu, Yifei Chen, Sai Zhou, Wei Peng
2023 J jnl
Collect-and-Distribute Transformer for 3D Point Cloud Analysis.
CoRR
Haibo Qiu, Baosheng Yu, Dacheng Tao
2023 J jnl
Compositional 3D Human-Object Neural Animation.
CoRR
Zhi Hou, Baosheng Yu, Dacheng Tao
2023 A* conf
Domain-Specific Risk Minimization for Domain Generalization.
KDD
Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
2023 J jnl
Free-Form Composition Networks for Egocentric Action Recognition.
CoRR
Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling
2023 J jnl
Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments.
J. Frankl. Inst.
Zhiqiu Xia, Chunpeng Wang, Yongwei Li, Baosheng Yu, Yibing Zhan, Qi Li, Xingyuan Wang, Bin Ma
2023 J jnl
Intra- and Inter-Class Induced Discriminative Deep Dictionary Learning for Visual Recognition.
IEEE Trans. Multim.
Jianping Gou, Xia Yuan, Baosheng Yu, Jiali Yu, Zhang Yi
2023 A* conf
Knowledge-Aware Federated Active Learning with Non-IID Data.
ICCV
Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao
2023 A* conf
Learnable Skeleton-Aware 3D Point Cloud Sampling.
CVPR
Cheng Wen, Baosheng Yu, Dacheng Tao
2023 J jnl
Multi-target Knowledge Distillation via Student Self-reflection.
Int. J. Comput. Vis.
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao
2023 J jnl
Multilevel Attention-Based Sample Correlations for Knowledge Distillation.
IEEE Trans. Ind. Informatics
Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Weihua Ou, Zhang Yi
2023 J jnl
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling.
CoRR
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
2023 J jnl
On exploring node-feature and graph-structure diversities for node drop graph pooling.
Neural Networks
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
2023 J jnl
Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach.
CoRR
Cheng Wen, Baosheng Yu, Rao Fu, Dacheng Tao
2023 J jnl
PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation.
CoRR
Haibo Qiu, Baosheng Yu, Yixin Chen, Dacheng Tao
2023 J jnl
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis.
CoRR
Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao
2023 J jnl
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning.
CoRR
Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Baosheng Yu, Dacheng Tao
2023 J jnl
Region-adaptive Concept Aggregation for Few-shot Visual Recognition.
Mach. Intell. Res.
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2023 J jnl
Understanding How Pretraining Regularizes Deep Learning Algorithms.
IEEE Trans. Neural Networks Learn. Syst.
Yu Yao, Baosheng Yu, Chen Gong, Tongliang Liu
2022 A* conf
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning.
CVPR
Zhi Hou, Baosheng Yu, Dacheng Tao
2022 J jnl
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning.
CoRR
Zhi Hou, Baosheng Yu, Dacheng Tao
2022 J jnl
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning.
CoRR
Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao
2022 A* conf
Contrastive Boundary Learning for Point Cloud Segmentation.
CVPR
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao
2022 J jnl
Contrastive Boundary Learning for Point Cloud Segmentation.
CoRR
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao
2022 J jnl
Deep Dictionary Learning with An Intra-class Constraint.
CoRR
Xia Yuan, Jianping Gou, Baosheng Yu, Jiali Yu, Zhang Yi
2022 A conf
Deep Dictionary Learning with an Intra-Class Constraint.
ICME
Xia Yuan, Jianping Gou, Baosheng Yu, Jiali Yu, Zhang Yi
2022 — conf
Discovering Human-Object Interaction Concepts via Self-Compositional Learning.
ECCV (27)
Zhi Hou, Baosheng Yu, Dacheng Tao
2022 J jnl
Discovering Human-Object Interaction Concepts via Self-Compositional Learning.
CoRR
Zhi Hou, Baosheng Yu, Dacheng Tao
2022 J jnl
Domain-Specific Risk Minimization.
CoRR
Yifan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
2022 A* conf
Dual-branch Density Ratio Estimation for Signed Network Embedding.
WWW
Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu
2022 J jnl
Exploring High-Order Structure for Robust Graph Structure Learning.
CoRR
Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He
2022 J jnl
Feature-preserved convolutional neural network for 3D mesh recognition.
Appl. Soft Comput.
Yaqian Liang, Fazhi He, Xiantao Zeng, Baosheng Yu
2022 J jnl
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation.
CoRR
Haibo Qiu, Baosheng Yu, Dacheng Tao
2022 J jnl
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation.
Trans. Mach. Learn. Res.
Haibo Qiu, Baosheng Yu, Dacheng Tao
2022 J jnl
Heatmap Regression via Randomized Rounding.
IEEE Trans. Pattern Anal. Mach. Intell.
Baosheng Yu, Dacheng Tao
2022 J jnl
Hyper-relationship Learning Network for Scene Graph Generation.
CoRR
Yibing Zhan, Zhi Chen, Jun Yu, Baosheng Yu, Dacheng Tao, Yong Luo
2022 J jnl
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism.
CoRR
Yangyang Shu, Baosheng Yu, Hai-Ming Xu, Lingqiao Liu
2022 — conf
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism.
ECCV (25)
Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu
2022 C conf
Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition.
MMSP
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao
2022 J jnl
Knowledge-Aware Federated Active Learning with Non-IID Data.
CoRR
Yu-Tong Cao, Jingya Wang, Ye Shi, Baosheng Yu, Dacheng Tao
2022 A* conf
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers.
CVPR
Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du
2022 J jnl
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers.
CoRR
Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du
2022 — conf
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis.
ECCV (3)
Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He
2022 J jnl
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis.
CoRR
Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He
2022 J jnl
Model and Transfer Spatial-Temporal Knowledge for Fine-Grained Radio Map Reconstruction.
IEEE Trans. Cogn. Commun. Netw.
Kehan Li, Chao Li, Baosheng Yu, Zhangchong Shen, Qiming Zhang, Shibo He, Jiming Chen
2022 J jnl
Multi-Stream Interaction Networks for Human Action Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Haoran Wang, Baosheng Yu, Jiaqi Li, Linlin Zhang, Dongyue Chen
2022 — conf
Research and verification of sensing information assisted millimeter wave beam tracking algorithm for automated vehicles.
ISACom@MobiCom
Qixun Zhang, Baosheng Yu, Zhiyong Feng
2022 A* conf
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation.
AAAI
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
2022 J jnl
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation.
CoRR
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
2022 J jnl
Responsible Active Learning via Human-in-the-loop Peer Study.
CoRR
Yu-Tong Cao, Jingya Wang, Baosheng Yu, Dacheng Tao
2022 J jnl
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.
CoRR
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
2021 A* conf
A Question Answering System for Unstructured Table Images.
ACM Multimedia
Wenyuan Xue, Siqi Cai, Wen Wang, Qingyong Li, Baosheng Yu, Yibing Zhan, Dacheng Tao
2021 A* conf
Affordance Transfer Learning for Human-Object Interaction Detection.
CVPR
Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
2021 J jnl
Affordance Transfer Learning for Human-Object Interaction Detection.
CoRR
Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
2021 J jnl
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer.
CoRR
Liyuan Sun, Jianping Gou, Baosheng Yu, Lan Du, Dacheng Tao
2021 A* conf
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.
NeurIPS
Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong
2021 A* conf
Detecting Human-Object Interaction via Fabricated Compositional Learning.
CVPR
Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
2021 J jnl
Detecting Human-Object Interaction via Fabricated Compositional Learning.
CoRR
Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
2021 J jnl
Knowledge Distillation: A Survey.
Int. J. Comput. Vis.
Jianping Gou, Baosheng Yu, Stephen J. Maybank, Dacheng Tao
2021 A* conf
Learning Progressive Point Embeddings for 3D Point Cloud Generation.
CVPR
Cheng Wen, Baosheng Yu, Dacheng Tao
2021 A* conf
Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search.
ICCV
Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du
2021 J jnl
Skeleton edge motion networks for human action recognition.
Neurocomputing
Haoran Wang, Baosheng Yu, Kun Xia, Jiaqi Li, Xin Zuo
2021 J jnl
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks.
CoRR
Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2021 A* conf
SynFace: Face Recognition with Synthetic Data.
ICCV
Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao
2021 J jnl
SynFace: Face Recognition with Synthetic Data.
CoRR
Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao
2021 A* conf
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition.
ICCV
Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li
2021 J jnl
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition.
CoRR
Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li
2020 J jnl
Heatmap Regression via Randomized Rounding.
CoRR
Baosheng Yu, Dacheng Tao
2020 J jnl
Knowledge Distillation: A Survey.
CoRR
Jianping Gou, Baosheng Yu, Stephen John Maybank, Dacheng Tao
2020 — conf
Supreme: Fine-grained Radio Map Reconstruction via Spatial-Temporal Fusion Network.
IPSN
Kehan Li, Jiming Chen, Baosheng Yu, Zhangchong Shen, Chao Li, Shibo He
2020 A* conf
Unsupervised Domain Adaptation on Reading Comprehension.
AAAI
Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou
2019 J jnl
Anchor Cascade for Efficient Face Detection.
IEEE Trans. Image Process.
Baosheng Yu, Dacheng Tao
2019 J jnl
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution.
CoRR
Yang Liu, Fanyou Wu, Baosheng Yu, Zhiyuan Liu, Jieping Ye
2019 A* conf
Deep Metric Learning With Tuplet Margin Loss.
ICCV
Baosheng Yu, Dacheng Tao
2019 — —
Robust Diversity-Driven Subset Selection in Combinatorial Optimization.
Baosheng Yu
2019 J jnl
Unsupervised Domain Adaptation on Reading Comprehension.
CoRR
Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou
2018 J jnl
Anchor Cascade for Efficient Face Detection.
CoRR
Baosheng Yu, Dacheng Tao
2018 — conf
Correcting the Triplet Selection Bias for Triplet Loss.
ECCV (6)
Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao
2018 J jnl
Deep Multi-View Feature Learning for Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Dapeng Tao, Yanan Guo, Baosheng Yu, Jianxin Pang, Zhengtao Yu
2016 A* conf
Linear Submodular Bandits with a Knapsack Constraint.
AAAI
Baosheng Yu, Meng Fang, Dacheng Tao
2016 J jnl
Per-Round Knapsack-Constrained Linear Submodular Bandits.
Neural Comput.
Baosheng Yu, Meng Fang, Dacheng Tao
2016 A* conf
Submodular Asymmetric Feature Selection in Cascade Object Detection.
AAAI
Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin