Zheyuan Zhang

Orcid: 0000-0001-9100-1428

According to our database1, Zheyuan Zhang authored at least 61 papers between 2019 and 2025.

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Bibliography

2025
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
Medical Image Anal., 2025

2024
GPU Accelerated 3D Tomographic Reconstruction and Visualization From Noisy Electron Microscopy Tilt-Series.
IEEE Trans. Vis. Comput. Graph., July, 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

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking.
Medical Image Anal., 2024

Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination.
CoRR, 2024

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents.
CoRR, 2024

Simulating Classroom Education with LLM-Empowered Agents.
CoRR, 2024

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning.
CoRR, 2024

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation.
CoRR, 2024

PAM-UNet: Shifting Attention on Region of Interest in Medical Images.
CoRR, 2024

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.
CoRR, 2024

COMBO: Compositional World Models for Embodied Multi-Agent Cooperation.
CoRR, 2024

Superconvergence error estimates for the div least-squares finite element method on elliptic problems.
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

Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation.
Proceedings of the Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine, 2024

Practical and Ethical Considerations for Generative AI in Medical Imaging.
Proceedings of the Ethics and Fairness in Medical Imaging, 2024

Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Explainable Transformer Prototypes for Medical Diagnoses.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Subgraph Pooling: Tackling Negative Transfer on Graphs.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024


Domain Generalization with fourier Transform and soft thresholding.
Proceedings of the IEEE International Conference on Acoustics, 2024

A time-sensitive cloud-native network based on eBPF.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

EmoBench: Evaluating the Emotional Intelligence of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

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

GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model.
Proceedings of the Gaze Meets Machine Learning Workshop, 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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