Zheyuan Zhang

Orcid: 0000-0003-3471-0572

According to our database1, Zheyuan Zhang authored at least 42 papers between 2019 and 2024.

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Bibliography

2024
Episode-level prediction of freezing of gait based on wearable inertial signals using a deep neural network model.
Biomed. Signal Process. Control., February, 2024

Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns.
CoRR, 2024

Explainable Transformer Prototypes for Medical Diagnoses.
CoRR, 2024

Reverse That Number! Decoding Order Matters in Arithmetic Learning.
CoRR, 2024

EmoBench: Evaluating the Emotional Intelligence of Large Language Models.
CoRR, 2024

Graph Inference Acceleration by Learning MLPs on Graphs without Supervision.
CoRR, 2024

Tackling Negative Transfer on Graphs.
CoRR, 2024

Domain Generalization with Correlated Style Uncertainty.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Erratum to: Factors Influencing Behavioral Intention for Mobile Applications of Health Care Escort Service.
J. Multim. Inf. Syst., September, 2023

Factors Influencing Behavioral Intention for Mobile Applications of Health Care Escort Service.
J. Multim. Inf. Syst., June, 2023

Wearable teleoperation controller with 2-DoF robotic arm and haptic feedback for enhanced interaction in virtual reality.
Frontiers Neurorobotics, June, 2023

Efficient In-Context Learning in Vision-Language Models for Egocentric Videos.
CoRR, 2023

EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model.
CoRR, 2023

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023

KoLA: Carefully Benchmarking World Knowledge of Large Language Models.
CoRR, 2023

GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification.
CoRR, 2023

GazeSAM: What You See is What You Segment.
CoRR, 2023

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.
CoRR, 2023

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.
CoRR, 2023

Radiomics Boosts Deep Learning Model for IPMN Classification.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Ensemble Learning with Residual Transformer for Brain Tumor Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Development and Evaluation of a Single-arm Robotic System for Autonomous Suturing.
IROS, 2023

Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Stress recognition based on graph structure representation of facial StO2.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Long Video Micro-expression Spotting Based On OCC Theory.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
The Effects of In-domain Corpus Size on pre-training BERT.
CoRR, 2022

Towards a General Pre-training Framework for Adaptive Learning in MOOCs.
CoRR, 2022

Source-Free Implicit Semantic Augmentation for Domain Adaptation.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Dynamic Linear Transformer for 3D Biomedical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Sparse Dense Transformer Network for Video Action Recognition.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Transformer Based Generative Adversarial Network for Liver Segmentation.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Using a User Centered Design Approach to Design Mindfulness Conversational Agent for Persons with Dementia and their Caregivers.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021
Comprehensive Ranging Disambiguation for Amplitude-Modulated Continuous-Wave Laser Scanner With Focusing Optics.
IEEE Trans. Instrum. Meas., 2021

Practical Bandwidth Allocation for Video QoE Fairness.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

AnyOpt: predicting and optimizing IP Anycast performance.
Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

2020
Attention-based bidirectional GRU networks for efficient HTTPS traffic classification.
Inf. Sci., 2020

Research on Modeling and the Operation Strategy of a Hydrogen-Battery Hybrid Energy Storage System for Flexible Wind Farm Grid-Connection.
IEEE Access, 2020

3D Point Cloud Registration for Multiple Roadside LiDARs with Retroreflective Reference.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019
Design of H<sub>∞</sub> Output Feedback Controller for Gas Turbine Engine Distributed Control With Random Packet Dropouts.
IEEE Access, 2019


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