Baosheng Yu

Orcid: 0000-0002-0761-7893

According to our database¹, Baosheng Yu authored at least 80 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Distilling interaction knowledge for semi-supervised egocentric action recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

2024

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Free-Form Composition Networks for Egocentric Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Collaborative Knowledge Distillation via Multiknowledge Transfer.

[BibT_eX]

[DOI]

Kotagiri Ramamohanarao

Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Hierarchical Multi-Attention Transfer for Knowledge Distillation.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., February, 2024

Hierarchical graph augmented stacked autoencoders for multi-view representation learning.

[BibT_eX]

[DOI]

Inf. Fusion, February, 2024

Attentional Composition Networks for Long-Tailed Human Action Recognition.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Hierarchical Locality-Aware Deep Dictionary Learning for Classification.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Progressive Retinal Image Registration via Global and Local Deformable Transformations.

[BibT_eX]

[DOI]

CoRR, 2024

Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method.

[BibT_eX]

[DOI]

CoRR, 2024

Federated Distillation: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Distillation via Intra-Class Compactness.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

On exploring node-feature and graph-structure diversities for node drop graph pooling.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

Understanding How Pretraining Regularizes Deep Learning Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Channel-Correlation-Based Selective Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., September, 2023

Region-adaptive Concept Aggregation for Few-shot Visual Recognition.

[BibT_eX]

[DOI]

Mach. Intell. Res., August, 2023

Multi-target Knowledge Distillation via Student Self-reflection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., July, 2023

Multilevel Attention-Based Sample Correlations for Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, May, 2023

Intra- and Inter-Class Induced Discriminative Deep Dictionary Learning for Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2023

PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach.

[BibT_eX]

[DOI]

CoRR, 2023

Collect-and-Distribute Transformer for 3D Point Cloud Analysis.

[BibT_eX]

[DOI]

Haibo Qiu

Baosheng Yu

Dacheng Tao

CoRR, 2023

Compositional 3D Human-Object Neural Animation.

[BibT_eX]

[DOI]

Zhi Hou

Baosheng Yu

Dacheng Tao

CoRR, 2023

Pseudo Contrastive Learning for Graph-based Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2023

PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

Domain-Specific Risk Minimization for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Knowledge-Aware Federated Active Learning with Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learnable Skeleton-Aware 3D Point Cloud Sampling.

[BibT_eX]

[DOI]

Cheng Wen

Baosheng Yu

Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation.

[BibT_eX]

[DOI]

Haibo Qiu

Baosheng Yu

Dacheng Tao

Trans. Mach. Learn. Res., 2022

Multi-Stream Interaction Networks for Human Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Model and Transfer Spatial-Temporal Knowledge for Fine-Grained Radio Map Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2022

Heatmap Regression via Randomized Rounding.

[BibT_eX]

[DOI]

Baosheng Yu

Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.

[BibT_eX]

[DOI]

CoRR, 2022

Responsible Active Learning via Human-in-the-loop Peer Study.

[BibT_eX]

[DOI]

CoRR, 2022

Domain-Specific Risk Minimization.

[BibT_eX]

[DOI]

CoRR, 2022

BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Exploring High-Order Structure for Robust Graph Structure Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Hyper-relationship Learning Network for Scene Graph Generation.

[BibT_eX]

[DOI]

CoRR, 2022

Feature-preserved convolutional neural network for 3D mesh recognition.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Dual-branch Density Ratio Estimation for Signed Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Research and verification of sensing information assisted millimeter wave beam tracking algorithm for automated vehicles.

[BibT_eX]

[DOI]

Qixun Zhang

Baosheng Yu

Zhiyong Feng

Proceedings of the ISACom@MobiCom 2022: Proceedings of the 1st ACM MobiCom Workshop on Integrated Sensing and Communications Systems, 2022

Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Deep Dictionary Learning with an Intra-Class Constraint.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Discovering Human-Object Interaction Concepts via Self-Compositional Learning.

[BibT_eX]

[DOI]

Zhi Hou

Baosheng Yu

Dacheng Tao

Proceedings of the Computer Vision - ECCV 2022, 2022

Contrastive Boundary Learning for Point Cloud Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning.

[BibT_eX]

[DOI]

Zhi Hou

Baosheng Yu

Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Skeleton edge motion networks for human action recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Knowledge Distillation: A Survey.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Collaborative Teacher-Student Learning via Multiple Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2021

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Question Answering System for Unstructured Table Images.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SynFace: Face Recognition with Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Progressive Point Embeddings for 3D Point Cloud Generation.

[BibT_eX]

[DOI]

Cheng Wen

Baosheng Yu

Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Detecting Human-Object Interaction via Fabricated Compositional Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Affordance Transfer Learning for Human-Object Interaction Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Supreme: Fine-grained Radio Map Reconstruction via Spatial-Temporal Fusion Network.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020

Unsupervised Domain Adaptation on Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Robust Diversity-Driven Subset Selection in Combinatorial Optimization.

[BibT_eX]

[DOI]

Baosheng Yu

PhD thesis, 2019

Anchor Cascade for Efficient Face Detection.

[BibT_eX]

[DOI]

Baosheng Yu

Dacheng Tao

IEEE Trans. Image Process., 2019

Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Metric Learning With Tuplet Margin Loss.

[BibT_eX]

[DOI]

Baosheng Yu

Dacheng Tao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep Multi-View Feature Learning for Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Correcting the Triplet Selection Bias for Triplet Loss.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2016

Per-Round Knapsack-Constrained Linear Submodular Bandits.

[BibT_eX]

[DOI]

Baosheng Yu

Meng Fang

Dacheng Tao

Neural Comput., 2016

Submodular Asymmetric Feature Selection in Cascade Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Linear Submodular Bandits with a Knapsack Constraint.

[BibT_eX]

[DOI]

Baosheng Yu

Meng Fang

Dacheng Tao

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Baosheng Yu

Timeline

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