Yuxuan Shi

Orcid: 0000-0001-5556-9833

According to our database1, Yuxuan Shi authored at least 61 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Robust Image Semantic Coding With Learnable CSI Fusion Masking Over MIMO Fading Channels.
IEEE Trans. Wirel. Commun., October, 2024

Viewpoint Disentangling and Generation for Unsupervised Object Re-ID.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Cascade Transformer Reasoning Embedded by Uncertainty for Occluded Person Re-Identification.
IEEE Trans. Biom. Behav. Identity Sci., April, 2024

Gait Recognition With Multi-Level Skeleton-Guided Refinement.
IEEE Trans. Multim., 2024

Lightweight and High-Precision Network for Image Copy-Move Forgery Detection.
IEEE Signal Process. Lett., 2024

Joint Data and Semantics Lossy Compression: Nonasymptotic Converse Bounds and Second-Order Asymptotics.
CoRR, 2024

Joint Data and Semantics Lossy Compression: Nonasymptotic and Second-Order Achievability Bounds.
CoRR, 2024

An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform.
IEEE Access, 2024

Improve Deep Hashing with Language Guidance for Unsupervised Image Retrieval.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

DBDH: A Dual-Branch Dual-Head Neural Network for Invisible Embedded Regions Localization.
Proceedings of the International Joint Conference on Neural Networks, 2024

Importance-Aware Spatial-Temporal representation Learning for Gait Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024

Cross-modal Generation and Alignment via Attribute-guided Prompt for Unsupervised Text-based Person Retrieval.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration.
Proceedings of the IEEE International Conference on Acoustics, 2024

Uncertainty-Guided Person Search Model with Auxiliary Shallow Feature Exploration.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A deep weakly semi-supervised framework for endoscopic lesion segmentation.
Medical Image Anal., December, 2023

Person Re-Identification With Visual Semantic Representation Mining and Reasoning.
IEEE Trans. Biom. Behav. Identity Sci., October, 2023

Excess Distortion Exponent Analysis for Semantic-Aware MIMO Communication Systems.
IEEE Trans. Wirel. Commun., September, 2023

A Novel Method for Filled/Unfilled Grain Classification Based on Structured Light Imaging and Improved PointNet++.
Sensors, July, 2023

Gait Recognition via Gait Period Set.
IEEE Trans. Biom. Behav. Identity Sci., 2023

Bidirectional Gated Edge-Labeling Graph Recurrent Neural Network for Few-Shot Learning.
IEEE Trans. Cogn. Dev. Syst., 2023

Communication-Efficient Framework for Distributed Image Semantic Wireless Transmission.
IEEE Internet Things J., 2023

MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images.
CoRR, 2023

Parameter-Free Channel Attention for Image Classification and Super-Resolution.
CoRR, 2023

Rate-Distortion Analysis for Semantic-Aware Multi-Terminal Source Coding Problem.
CoRR, 2023

An Intelligent Control Model Based on Digital Twin Technology and Optimized Least-Squares Support Vector Regression for Predicting Electromagnetic Brake Assembly Quality.
IEEE Access, 2023

Deep Unsupervised Hashing with Selective Semantic Mining.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Unsupervised Deep Hashing With Deep Semantic Distillation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Improve Unsupervised Deep Hashing Via Masked Contrastive Learning.
Proceedings of the IEEE International Conference on Image Processing, 2023

Deep Unsupervised Hashing with Semantic Consistency Learning.
Proceedings of the IEEE International Conference on Image Processing, 2023

MEGL: Multi-Experts Guided Learning Network for Single Camera Training Person Re-Identification.
Proceedings of the IEEE International Conference on Image Processing, 2023

Mutual Relative Position Learning Transformer for Cross-View Geo-Localization.
Proceedings of the IEEE International Conference on Image Processing, 2023

Analyzing and Optimizing AED Placement Locations in Big Cites - A Geographical Information System Analysis.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Deep Unsupervised Hashing with Hyperbolic Multi-Structure Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Hierarchical Clustering and Refinement for Generalized Multi-Camera Person Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Instance Correlation Graph for Unsupervised Domain Adaptation.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Mixture Distribution Graph Network for Few Shot Learning.
IEEE Trans. Cogn. Dev. Syst., 2022

Object Detection by Attention-Guided Feature Fusion Network.
Symmetry, 2022

Spatial-wise and channel-wise feature uncertainty for occluded person re-identification.
Neurocomputing, 2022

Attribute disentanglement and registration for occluded person re-identification.
Neurocomputing, 2022

Blockchain Technology Application Maturity Assessment Model for Digital Government Public Service Projects.
Int. J. Crowd Sci., 2022

Improving Transferability of Adversarial Examples on Face Recognition with Beneficial Perturbation Feature Augmentation.
CoRR, 2022

Error exponent for concatenated codes in DNA data storage under substitution errors.
Sci. China Inf. Sci., 2022

A Triplet Deviation Network Framework: Boosting Weakly-supervised Anomaly Detection By Ensemble Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

The Iris Cassification Based on Gaussian Naive Bayes Agorithm.
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Adaptive and Robust Partition Learning for Person Retrieval With Policy Gradient.
IEEE Trans. Multim., 2021

Person Retrieval in Surveillance Videos Via Deep Attribute Mining and Reasoning.
IEEE Trans. Multim., 2021

Re-ranking person re-identification using distance aggregation of k-nearest neighbors hierarchical tree.
Multim. Tools Appl., 2021

Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes.
CoRR, 2021

NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement.
CoRR, 2021

Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Hands-On Guidance for Distilling Object Detectors.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
XwiseNet: action recognition with Xwise separable convolutions.
Multim. Tools Appl., 2020

Learning refined attribute-aligned network with attribute selection for person re-identification.
Neurocomputing, 2020

Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Lightweight Action Recognition with Sequence-Specific Global Context.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Selective Convolutional Network: An Efficient Object Detector with Ignoring Background.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Improving person re-identification by multi-task learning.
Neurocomputing, 2019

BMNet: A Reconstructed Network for Lightweight Object Detection via Branch Merging.
Proceedings of the 30th British Machine Vision Conference 2019, 2019


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