Yang Hua

Orcid: 0000-0003-1485-4632

According to our database1, Yang Hua authored at least 112 papers between 2011 and 2025.

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

Timeline

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Bibliography

2025
MMDG-DTI: Drug-target interaction prediction via multimodal feature fusion and domain generalization.
Pattern Recognit., 2025

2024
OFL-W3: A One-shot Federated Learning System on Web 3.0.
Proc. VLDB Endow., August, 2024

Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024

Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy.
IEEE Trans. Dependable Secur. Comput., 2024

EDS: Exploring deeper into semantics for video captioning.
Pattern Recognit. Lett., 2024

FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning.
CoRR, 2024

Poisoning with A Pill: Circumventing Detection in Federated Learning.
CoRR, 2024

Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks.
CoRR, 2024

Improving the Fairness of the Min-Max Game in GANs Training.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FedDCP: Personalized Federated Learning Based on Dual Classifiers and Prototypes.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

RRANet: A Reverse Region-Aware Network with Edge Difference for Accurate Breast Tumor Segmentation in Ultrasound Images.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Improving the Training of the GANs with Limited Data via Dual Adaptive Noise Injection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MVRMLM 2024: Multimodal Video Retrieval and Multimodal Language Modelling.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Updating Depth-aware Feature in the Feedback Loop for Human Mesh Recovery.
Proceedings of the International Joint Conference on Neural Networks, 2024

Cluster-Mined Negative Samples for Enhanced Unsupervised Sentence Representation Learning.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

DRIVPocket: A Dual-stream Rotation Invariance in Feature Sampling and Voxel Fusion Approach for Protein Binding Site Prediction.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Pth moment attractivity analysis for first order uncertain differential systems.
J. Intell. Fuzzy Syst., November, 2023

Discrepancy-Guided Domain-Adaptive Data Augmentation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

<i>WH</i><sup>2</sup><i>D</i><sup>2</sup><i>N</i><sup>2</sup>: Distributed AI-enabled OK-ASN Service for Web of Things.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Zero-Watermarking for Vector Maps Combining Spatial and Frequency Domain Based on Constrained Delaunay Triangulation Network and Discrete Fourier Transform.
Entropy, April, 2023

Research on Control Strategy of Electro-Hydraulic Lifting System Based on AMESim and MATLAB.
Symmetry, February, 2023

MFR-DTA: a multi-functional and robust model for predicting drug-target binding affinity and region.
Bioinform., February, 2023

Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

CPInformer for Efficient and Robust Compound-Protein Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Essential Technics of Cybersecurity for Intelligent Connected Vehicles: Comprehensive Review and Perspective.
IEEE Internet Things J., 2023

Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.
ACM Comput. Surv., 2023

SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks.
CoRR, 2023

PFLlib: Personalized Federated Learning Algorithm Library.
CoRR, 2023

Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs.
CoRR, 2023

Eliminating Domain Bias for Federated Learning in Representation Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-supervised Multi-object Tracking with Cycle-Consistency.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.
Proceedings of the International Conference on Machine Learning, 2023

GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spatio-temporal Prompting Network for Robust Video Feature Extraction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2023

Flowreg: Latent Space Regularization Using Normalizing Flow For Limited Samples Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-Domain Learning with Normalizing Flow.
Proceedings of the IEEE International Conference on Acoustics, 2023

Information Bound and Its Applications in Bayesian Neural Networks.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

FedALA: Adaptive Local Aggregation for Personalized Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks.
IEEE Trans. Big Data, 2022

Ranked List Loss for Deep Metric Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State.
CoRR, 2022

Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images.
CoRR, 2022

CSM-Net: Automatic joint segmentation of intima-media complex and lumen in carotid artery ultrasound images.
Comput. Biol. Medicine, 2022

Hierarchical CADNet: Learning from B-Reps for Machining Feature Recognition.
Comput. Aided Des., 2022

TDViT: Temporal Dilated Video Transformer for Dense Video Tasks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency.
Proceedings of the Computer Vision - ECCV 2022, 2022

FoGMesh: 3D Human Mesh Recovery in Videos with Focal Transformer and GRU.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Joint Segmentation of Intima-Media Complex and Lumen in Carotid Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A Transfer Learning and Image Augmentation Method for Carotid Artery Vulnerable Plaque Segmentation in Ultrasound Images.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

Improving Bayesian Neural Networks by Adversarial Sampling.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data.
Trans. Data Sci., 2021

Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2021

SpaceDML: Enabling Distributed Machine Learning in Space Information Networks.
IEEE Netw., 2021

Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.
CoRR, 2021

A Novel Method of Developing Driving Cycle for Electric Vehicles to Evaluate the Private Driving Habits.
IEEE Access, 2021

Themis: A Fair Evaluation Platform for Computer Vision Competitions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Self-Supervised Vessel Segmentation via Adversarial Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2021

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Siren: Byzantine-robust Federated Learning via Proactive Alarming.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Temporal Meta-Adaptor for Video Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Positional Mask Attention for Video Sequence Modeling.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Gated Semantic Difference Based Sentence Semantic Equivalence Identification.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Video salient object detection via spatiotemporal attention neural networks.
Neurocomputing, 2020

Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation.
Neurocomputing, 2020

Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation.
CoRR, 2020

ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise.
CoRR, 2020

ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs.
CoRR, 2020

An RSS-Based Classification of User Equipment Usage in Indoor Millimeter Wave Wireless Networks Using Machine Learning.
IEEE Access, 2020

A Comprehensive Evaluation on Variable Sampling Intervals of Power Battery System for Electric Vehicles.
IEEE Access, 2020

VTT: Long-term Visual Tracking with Transformers.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Improving Detection And Recognition Of Degraded Faces By Discriminative Feature Restoration Using GAN.
Proceedings of the IEEE International Conference on Image Processing, 2020

Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Reinforcing Neural Network Stability with Attractor Dynamics.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Deep Relations to Promote Saliency Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Weakly Supervised Salient Object Detection With Spatiotemporal Cascade Neural Networks.
IEEE Trans. Circuits Syst. Video Technol., 2019

Instance Cross Entropy for Deep Metric Learning.
CoRR, 2019

ID-aware Quality for Set-based Person Re-identification.
CoRR, 2019

Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels.
CoRR, 2019

Improving MAE against CCE under Label Noise.
CoRR, 2019

IEGAN: Multi-Purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Object Guided External Memory Network for Video Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Ranked List Loss for Deep Metric Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

SC-RANK: Improving Convolutional Image Captioning with Self-Critical Learning and Ranking Metric-based Reward.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Deep Metric Learning by Online Soft Mining and Class-Aware Attention.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Cross-View Discriminative Feature Learning for Person Re-Identification.
IEEE Trans. Image Process., 2018

Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Object-Adaptive LSTM Network for Visual Tracking.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Towards robust visual object tracking : proposal selection and occlusion reasoning. (Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions).
PhD thesis, 2016

2015
Contextualizing Object Detection and Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Online Object Tracking with Proposal Selection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Occlusion and Motion Reasoning for Long-Term Tracking.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
VideoPuzzle: Descriptive One-Shot Video Composition.
IEEE Trans. Multim., 2013

2012
Comparison of the inversion ability in extrapolating forest canopy height by integration of LiDAR data and different optical remote sensing products.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Hierarchical matching with side information for image classification.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Contextualizing object detection and classification.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011


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