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 001 (AAAI, 2016)

Per-Round Knapsack-Constrained Linear Submodular Bandits. - Baosheng Yu; Meng Fang; Dacheng Tao (Neural Comput., 2016)

Correcting the Triplet Selection Bias for Triplet Loss. - Baosheng Yu; Tongliang Liu; Mingming Gong; Changxing Ding; Dacheng Tao (ECCV (6), 2018)

Deep Multi-View Feature Learning for Person Re-Identification. - Dapeng Tao; Yanan Guo 003; Baosheng Yu; Jianxin Pang; Zhengtao Yu 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Deep Metric Learning With Tuplet Margin Loss. - Baosheng Yu; Dacheng Tao (ICCV, 2019)

Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution. - Yang Liu 253; Fanyou Wu; Baosheng Yu; Zhiyuan Liu 002; Jieping Ye (CoRR, 2019)

Anchor Cascade for Efficient Face Detection. - Baosheng Yu; Dacheng Tao (IEEE Trans. Image Process., 2019)

Robust Diversity-Driven Subset Selection in Combinatorial Optimization. - Baosheng Yu (2019)

Unsupervised Domain Adaptation on Reading Comprehension. - Yu Cao 014; Meng Fang; Baosheng Yu; Joey Tianyi Zhou (AAAI, 2020)

Supreme: Fine-grained Radio Map Reconstruction via Spatial-Temporal Fusion Network. - Kehan Li 001; Jiming Chen 001; Baosheng Yu; Zhangchong Shen; Chao Li 062; Shibo He (IPSN, 2020)

Affordance Transfer Learning for Human-Object Interaction Detection. - Zhi Hou; Baosheng Yu; Yu Qiao 001; Xiaojiang Peng; Dacheng Tao (CVPR, 2021)

Detecting Human-Object Interaction via Fabricated Compositional Learning. - Zhi Hou; Baosheng Yu; Yu Qiao 001; Xiaojiang Peng; Dacheng Tao (CVPR, 2021)

Learning Progressive Point Embeddings for 3D Point Cloud Generation. - Cheng Wen 001; Baosheng Yu; Dacheng Tao (CVPR, 2021)

Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. - Ziye Chen; Yibing Zhan; Baosheng Yu; Mingming Gong; Bo Du 001 (ICCV, 2021)

SynFace: Face Recognition with Synthetic Data. - Haibo Qiu; Baosheng Yu; Dihong Gong; Zhifeng Li 001; Wei Liu 005; Dacheng Tao (ICCV, 2021)

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition. - Wenyuan Xue; Baosheng Yu; Wen Wang 019; Dacheng Tao; Qingyong Li (ICCV, 2021)

A Question Answering System for Unstructured Table Images. - Wenyuan Xue; Siqi Cai; Wen Wang 019; Qingyong Li; Baosheng Yu; Yibing Zhan; Dacheng Tao (ACM Multimedia, 2021)

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. - Sheng Wan; Yibing Zhan; Liu Liu 014; Baosheng Yu; Shirui Pan; Chen Gong 002 (NeurIPS, 2021)

Collaborative Teacher-Student Learning via Multiple Knowledge Transfer. - Liyuan Sun; Jianping Gou; Baosheng Yu; Lan Du 002; Dacheng Tao (CoRR, 2021)

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks. - Weigang Lu; Yibing Zhan; Ziyu Guan; Liu Liu 014; Baosheng Yu; Wei Zhao 019; Yaming Yang 002; Dacheng Tao (CoRR, 2021)

Knowledge Distillation: A Survey. - Jianping Gou; Baosheng Yu; Stephen J. Maybank; Dacheng Tao (Int. J. Comput. Vis., 2021)

Skeleton edge motion networks for human action recognition. - Haoran Wang 001; Baosheng Yu; Kun Xia; Jiaqi Li; Xin Zuo (Neurocomputing, 2021)

Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. - Chao Chen; Yibing Zhan; Baosheng Yu; Liu Liu 014; Yong Luo 002; Bo Du 001 (AAAI, 2022)

BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning. - Zhi Hou; Baosheng Yu; Dacheng Tao (CVPR, 2022)

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. - Lixiang Ru; Yibing Zhan; Baosheng Yu; Bo Du 001 (CVPR, 2022)

Contrastive Boundary Learning for Point Cloud Segmentation. - Liyao Tang; Yibing Zhan; Zhe Chen 013; Baosheng Yu; Dacheng Tao (CVPR, 2022)

Discovering Human-Object Interaction Concepts via Self-Compositional Learning. - Zhi Hou; Baosheng Yu; Dacheng Tao (ECCV (27), 2022)

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis. - Yaqian Liang; Shanshan Zhao 001; Baosheng Yu; Jing Zhang 037; Fazhi He (ECCV (3), 2022)

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. - Yangyang Shu; Baosheng Yu; Haiming Xu; Lingqiao Liu (ECCV (25), 2022)

Deep Dictionary Learning with an Intra-Class Constraint. - Xia Yuan; Jianping Gou; Baosheng Yu; Jiali Yu; Zhang Yi 001 (ICME, 2022)

Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. - Mengya Han; Yibing Zhan; Baosheng Yu; Yong Luo 002; Bo Du 001; Dacheng Tao (MMSP, 2022)

Research and verification of sensing information assisted millimeter wave beam tracking algorithm for automated vehicles. - Qixun Zhang; Baosheng Yu; Zhiyong Feng 001 (ISACom@MobiCom, 2022)

Dual-branch Density Ratio Estimation for Signed Network Embedding. - Pinghua Xu; Yibing Zhan; Liu Liu 014; Baosheng Yu; Bo Du 001; Jia Wu 001; Wenbin Hu 001 (WWW, 2022)

Feature-preserved convolutional neural network for 3D mesh recognition. - Yaqian Liang; Fazhi He; Xiantao Zeng; Baosheng Yu (Appl. Soft Comput., 2022)

Hyper-relationship Learning Network for Scene Graph Generation. - Yibing Zhan; Zhi Chen 010; Jun Yu 002; Baosheng Yu; Dacheng Tao; Yong Luo 002 (CoRR, 2022)

Exploring High-Order Structure for Robust Graph Structure Learning. - Guangqian Yang; Yibing Zhan; Jinlong Li; Baosheng Yu; Liu Liu 014; Fengxiang He (CoRR, 2022)

BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning. - Zhi Hou; Baosheng Yu; Chaoyue Wang; Yibing Zhan; Dacheng Tao (CoRR, 2022)

Domain-Specific Risk Minimization. - Yifan Zhang 004; Jindong Wang 001; Zhang Zhang 001; Baosheng Yu; Liang Wang 001; Dacheng Tao; Xing Xie 001 (CoRR, 2022)

Responsible Active Learning via Human-in-the-loop Peer Study. - Yu-Tong Cao; Jingya Wang; Baosheng Yu; Dacheng Tao (CoRR, 2022)

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. - Qihuang Zhong; Liang Ding 006; Yibing Zhan; Yu Qiao 001; Yonggang Wen 001; Li Shen 008; Juhua Liu; Baosheng Yu; Bo Du 001; Yixin Chen 001; Xinbo Gao 001; Chunyan Miao; et al. (CoRR, 2022)

Heatmap Regression via Randomized Rounding. - Baosheng Yu; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Model and Transfer Spatial-Temporal Knowledge for Fine-Grained Radio Map Reconstruction. - Kehan Li 001; Chao Li 062; Baosheng Yu; Zhangchong Shen; Qiming Zhang 001; Shibo He; Jiming Chen 001 (IEEE Trans. Cogn. Commun. Netw., 2022)

Multi-Stream Interaction Networks for Human Action Recognition. - Haoran Wang 001; Baosheng Yu; Jiaqi Li; Linlin Zhang; Dongyue Chen 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation. - Haibo Qiu; Baosheng Yu; Dacheng Tao (Trans. Mach. Learn. Res., 2022)

Learnable Skeleton-Aware 3D Point Cloud Sampling. - Cheng Wen 001; Baosheng Yu; Dacheng Tao (CVPR, 2023)

Knowledge-Aware Federated Active Learning with Non-IID Data. - Yu-Tong Cao; Ye Shi 001; Baosheng Yu; Jingya Wang; Dacheng Tao (ICCV, 2023)

Domain-Specific Risk Minimization for Domain Generalization. - Yifan Zhang 004; Jindong Wang 001; Jian Liang 001; Zhang Zhang 001; Baosheng Yu; Liang Wang 001; Dacheng Tao; Xing Xie 001 (KDD, 2023)

PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis. - Cheng Wen 001; Jianzhi Long; Baosheng Yu; Dacheng Tao (CoRR, 2023)

Pseudo Contrastive Learning for Graph-based Semi-supervised Learning. - Weigang Lu; Ziyu Guan; Wei Zhao 019; Yaming Yang 002; Yuanhai Lv; Baosheng Yu; Dacheng Tao (CoRR, 2023)

Compositional 3D Human-Object Neural Animation. - Zhi Hou; Baosheng Yu; Dacheng Tao (CoRR, 2023)

Collect-and-Distribute Transformer for 3D Point Cloud Analysis. - Haibo Qiu; Baosheng Yu; Dacheng Tao (CoRR, 2023)

Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach. - Cheng Wen 001; Baosheng Yu; Rao Fu; Dacheng Tao (CoRR, 2023)

ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition. - Wenyuan Xue; Dapeng Chen; Baosheng Yu; Yifei Chen; Sai Zhou; Wei Peng 011 (CoRR, 2023)

PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation. - Haibo Qiu; Baosheng Yu; Yixin Chen 001; Dacheng Tao (CoRR, 2023)

Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments. - Zhiqiu Xia; Chunpeng Wang 001; Yongwei Li; Baosheng Yu; Yibing Zhan; Qi Li 029; Xingyuan Wang 001; Bin Ma 003 (J. Frankl. Inst., 2023)

Intra- and Inter-Class Induced Discriminative Deep Dictionary Learning for Visual Recognition. - Jianping Gou; Xia Yuan; Baosheng Yu; Jiali Yu; Zhang Yi 001 (IEEE Trans. Multim., 2023)

Multilevel Attention-Based Sample Correlations for Knowledge Distillation. - Jianping Gou; Liyuan Sun; Baosheng Yu; Shaohua Wan 001; Weihua Ou; Zhang Yi 001 (IEEE Trans. Ind. Informatics, 2023)

Multi-target Knowledge Distillation via Student Self-reflection. - Jianping Gou; Xiangshuo Xiong; Baosheng Yu; Lan Du 002; Yibing Zhan; Dacheng Tao (Int. J. Comput. Vis., 2023)

Region-adaptive Concept Aggregation for Few-shot Visual Recognition. - Mengya Han; Yibing Zhan; Baosheng Yu; Yong Luo 002; Han Hu 003; Bo Du 001; Yonggang Wen 001; Dacheng Tao (Mach. Intell. Res., 2023)

Channel-Correlation-Based Selective Knowledge Distillation. - Jianping Gou; Xiangshuo Xiong; Baosheng Yu; Yibing Zhan; Zhang Yi 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

Understanding How Pretraining Regularizes Deep Learning Algorithms. - Yu Yao 005; Baosheng Yu; Chen Gong 002; Tongliang Liu (IEEE Trans. Neural Networks Learn. Syst., 2023)

On exploring node-feature and graph-structure diversities for node drop graph pooling. - Chuang Liu 008; Yibing Zhan; Baosheng Yu; Liu Liu 014; Bo Du 001; Wenbin Hu 001; Tongliang Liu (Neural Networks, 2023)

Progressive Retinal Image Registration via Global and Local Deformable Transformations. - Yepeng Liu; Baosheng Yu; Tian Chen; Yuliang Gu; Bo Du 001; Yongchao Xu; Jun Cheng 003 (BIBM, 2024)

Visual Relationship Transformation. - Xiaoyu Xu; Jiayan Qiu; Baosheng Yu; Zhou Wang (ECCV (65), 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 008; Lusong Li; et al. (IJCAI, 2024)

Self-Distillation via Intra-Class Compactness. - Jiaye Lin; Lin Li; Baosheng Yu; Weihua Ou; Jianping Gou (PRCV (1), 2024)

Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. - Zhiyao Ren; Yibing Zhan; Baosheng Yu; Liang Ding 006; Dacheng Tao (CoRR, 2024)

Federated Distillation: A Survey. - Lin Li; Jianping Gou; Baosheng Yu; Lan Du 002; Zhang Yi 001; Dacheng Tao (CoRR, 2024)

Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach. - Mian Zou; Baosheng Yu; Yibing Zhan; Siwei Lyu; Kede Ma (CoRR, 2024)

Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation. - Jianping Gou; Yu Chen; Baosheng Yu; Jinhua Liu 001; Lan Du 002; Shaohua Wan 001; Zhang Yi 001 (IEEE Trans. Multim., 2024)

Hierarchical Locality-Aware Deep Dictionary Learning for Classification. - Jianping Gou; Xin He; Lan Du 002; Baosheng Yu; Wenbai Chen; Zhang Yi 001 (IEEE Trans. Multim., 2024)

Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression. - Linfei Wang; Yibing Zhan; Wei Liu 005; Baosheng Yu; Dapeng Tao (IEEE Trans. Multim., 2024)

Attentional Composition Networks for Long-Tailed Human Action Recognition. - Haoran Wang 001; Yajie Wang; Baosheng Yu; Yibing Zhan; Chunfeng Yuan; Wankou Yang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Hierarchical graph augmented stacked autoencoders for multi-view representation learning. - Jianping Gou; Nannan Xie; Jinhua Liu 001; Baosheng Yu; Weihua Ou; Zhang Yi 001; Wu Chen 005 (Inf. Fusion, 2024)

Hierarchical Multi-Attention Transfer for Knowledge Distillation. - Jianping Gou; Liyuan Sun; Baosheng Yu; Shaohua Wan 001; Dacheng Tao (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Collaborative Knowledge Distillation via Multiknowledge Transfer. - Jianping Gou; Liyuan Sun; Baosheng Yu; Lan Du 002; Kotagiri Ramamohanarao; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Free-Form Composition Networks for Egocentric Action Recognition. - Haoran Wang 001; Qinghua Cheng; Baosheng Yu; Yibing Zhan; Dapeng Tao; Liang Ding 006; Haibin Ling (IEEE Trans. Circuits Syst. Video Technol., 2024)

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks. - Weigang Lu; Yibing Zhan; Binbin Lin; Ziyu Guan; Liu Liu 014; Baosheng Yu; Wei Zhao 019; Yaming Yang 002; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2024)

Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies. - Mian Zou; Baosheng Yu; Yibing Zhan; Kede Ma (ICASSP, 2025)

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). - Weigang Lu; Yibing Zhan; Binbin Lin; Ziyu Guan; Liu Liu 014; Baosheng Yu; Wei Zhao 019; Yaming Yang 002; Dacheng Tao (ICDE, 2025)

Pseudo Contrastive Learning for graph-based semi-supervised learning. - Weigang Lu; Ziyu Guan; Wei Zhao 019; Yaming Yang 002; Yuanhai Lv; Lining Xing; Baosheng Yu; Dacheng Tao (Neurocomputing, 2025)

Hypnos: A domain-specific large language model for anesthesiology. - Zhonghai Wang; Jie Jiang; Yibing Zhan; Bohao Zhou; Yanhong Li; Chong Zhang; Baosheng Yu; Liang Ding 006; Hua Jin; Jun Peng; Xu Lin; Weifeng Liu 001 (Neurocomputing, 2025)

Intra-class progressive and adaptive self-distillation. - Jianping Gou; Jiaye Lin; Lin Li; Weihua Ou; Baosheng Yu; Zhang Yi 001 (Neural Networks, 2025)

Neighborhood relation-based knowledge distillation for image classification. - Jianping Gou; Xiaomeng Xin; Baosheng Yu; Heping Song; Weiyong Zhang; Shaohua Wan 001 (Neural Networks, 2025)

Distilling interaction knowledge for semi-supervised egocentric action recognition. - Haoran Wang 001; Jiahao Yang; Baosheng Yu; Yibing Zhan; Dapeng Tao; Haibin Ling (Pattern Recognit., 2025)

Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method. - Mian Zou; Baosheng Yu; Yibing Zhan; Siwei Lyu; Kede Ma (IEEE Trans. Inf. Forensics Secur., 2025)

MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching. - Yepeng Liu; Zhichao Sun; Baosheng Yu; Yitian Zhao; Bo Du 001; Yongchao Xu; Jun Cheng 003 (IEEE Trans. Image Process., 2025)

Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection. - Linfei Wang; Yibing Zhan; Xu Lin; Baosheng Yu; Liang Ding 006; Jianqing Zhu; Dapeng Tao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation. - Zhiyao Ren; Yibing Zhan; Baosheng Yu; Dacheng Tao (CoRR, 2025)

PointWavelet: Learning in Spectral Domain for 3-D Point Cloud Analysis. - Cheng Wen 001; Jianzhi Long; Baosheng Yu; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2025)

AnesBench: Multi-Dimensional Evaluation of LLM Reasoning in Anesthesiology. - Xiang Feng; Wentao Jiang; Zengmao Wang; Yong Luo 002; Pingbo Xu; Baosheng Yu; Hua Jin; Bo Du 001; Jing Zhang 037 (CoRR, 2025)

The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation. - Zheng Zhang 048; Ning Li; Qi Liu 003; Rui Li 093; Weibo Gao; Qingyang Mao; Zhenya Huang; Baosheng Yu; Dacheng Tao (CoRR, 2025)

A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions. - Shuxian Zhao; Jie Gui; Minjing Dong; Baosheng Yu; Zhipeng Gui; Lu Dong; Yuan Yan Tang; James Tin-Yau Kwok (CoRR, 2025)

Graph Convolutional Networks With Collaborative Feature Fusion for Sequential Recommendation. - Jianping Gou; Youhui Cheng; Yibing Zhan; Baosheng Yu; Weihua Ou; Zhang Yi 001 (IEEE Trans. Big Data, 2025)

FingerVeinSyn-5M: A Million-Scale Dataset and Benchmark for Finger Vein Recognition. - Yinfan Wang; Jie Gui; Baosheng Yu; Qi Li; Zhenan Sun; Juho Kannala; Guoying Zhao 001 (CoRR, 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 014 (CoRR, 2025)

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning. - Haotian Zhang; Liu Liu 014; Baosheng Yu; Jiayan Qiu; Yanwei Ren; Xianglong Liu 001 (CoRR, 2025)

Re-Initialization Token Learning for Tool-Augmented Large Language Models. - Chenghao Li; Liu Liu 014; Baosheng Yu; Jiayan Qiu; Yibing Zhan (CoRR, 2025)

Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs. - Yanwei Ren; Liu Liu 014; Baosheng Yu; Jiayan Qiu; Quan Chen (CoRR, 2025)

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection. - Mian Zou; Nan Zhong; Baosheng Yu; Yibing Zhan; Kede Ma (CoRR, 2025)

Learning to Explore Sample Relationships. - Zhi Hou; Baosheng Yu; Chaoyue Wang; Yibing Zhan; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese. - Bohao Zhou; Yibing Zhan; Zhonghai Wang; Yanhong Li; Chong Zhang; Baosheng Yu; Liang Ding 006; Hua Jin; Weifeng Liu 001; Xiongbin Wang; Dapeng Tao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)