Hanchao Yu

According to our database1, Hanchao Yu authored at least 40 papers between 2011 and 2024.

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Bibliography

2024
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data.
IEEE Trans. Big Data, December, 2024

FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Gamified Participatory Design Empowers Blind People's Emotional Experience - Take "Sound·Sound" as an Example.
Proceedings of the Design, User Experience, and Usability, 2024

uCAP: An Unsupervised Prompting Method for Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
MMViT: Multiscale Multiview Vision Transformers.
CoRR, 2023

SVT: Supertoken Video Transformer for Efficient Video Understanding.
CoRR, 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generating Hashtags for Short-form Videos with Guided Signals.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
CLC: A Consensus-based Label Correction Approach in Federated Learning.
ACM Trans. Intell. Syst. Technol., 2022

Dual layer transfer learning for sEMG-based user-independent gesture recognition.
Pers. Ubiquitous Comput., 2022

Uniform Masking Prevails in Vision-Language Pretraining.
CoRR, 2022

Human-centered intelligent healthcare: explore how to apply AI to assess cognitive health.
CCF Trans. Pervasive Comput. Interact., 2022

Uncertainty-based Fusion Netwok for Automatic Skin Lesion Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Feature Adaptive Learning Method for High-Density sEMG-Based Gesture Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

What can "drag & drop" tell? Detecting mild cognitive impairment by hand motor function assessment under dual-task paradigm.
Int. J. Hum. Comput. Stud., 2021

Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Learning Effective Spatial-Temporal Features for sEMG Armband-Based Gesture Recognition.
IEEE Internet Things J., 2020

Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Anatomy-Aware Cardiac Motion Estimation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Instance-Wise Dynamic Sensor Selection for Human Activity Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Wearable Sensors Based Automatic Box and Block Test System.
Proceedings of the 2019 IEEE SmartWorld, 2019

A Novel Framework for 3D-2D Vertebra Matching.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

2018
Wearing-independent hand gesture recognition method based on EMG armband.
Pers. Ubiquitous Comput., 2018

Less annotation on active learning using confidence-weighted predictions.
Neurocomputing, 2018

COSA: Contextualized and Objective System to Support ADHD Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Computed tomography super-resolution using convolutional neural networks.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

PdAssist: Objective and quantified symptom assessment of Parkinson's disease via smartphone.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
ASELM: Adaptive semi-supervised ELM with application in question subjectivity identification.
Neurocomputing, 2016

2015
面向可穿戴设备的超声波手势识别方法 (Ultrasonic Waves Based Gesture Recognition Method for Wearable Equipment).
计算机科学, 2015

strDoctor: Indicate Stroke for Elderly through Body Sensing Game.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

2014
The Population-Based Optimization Algorithms for Role Modelling and Path Generation in Group Animation.
J. Softw., 2014

TOSELM: Timeliness Online Sequential Extreme Learning Machine.
Neurocomputing, 2014

2013
Extreme Learning Machines.
IEEE Intell. Syst., 2013

2011
Evolutionary computing method in 3D animation modeling cooperative design.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

A role modelling approach for crowd animation in a multi-agent cooperative system.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

An Improved Cellular Genetic Algorithm with Evolutionary Rules for 3D Animation Modeling Design.
Proceedings of the 12th International Conference on Computer-Aided Design and Computer Graphics, 2011


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