Zheyuan Zhang

According to our database, Zheyuan Zhang authored at least 62 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.

Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci

Medical Image Anal., 2025

2024

GPU Accelerated 3D Tomographic Reconstruction and Visualization From Noisy Electron Microscopy Tilt-Series.

Julio Rey Ramirez, Peter Rautek, Ciril Bohak, Ondrej Strnad, Zheyuan Zhang, Sai Li, Ivan Viola, Wolfgang Heidrich

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.

Debin Huang, Chan Wu, Yiwen Wang, Zheyuan Zhang, Cheng Chen, Li Li, Wei Zhang, Zixuan Zhang, Jinyu Li, Yuzhu Guo, Guiyun Cui

Biomed. Signal Process. Control., February, 2024

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

Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro R. A. S. Bassi, Yijia Shi, Yuxiang Lai, Qian Yu, Huimin Xue, Yixiong Chen, Xiaorui Lin, Yutong Tang, Yining Cao, Haoqi Han, Zheyuan Zhang, Jiawei Liu, Tiezheng Zhang, Yujiu Ma, Jincheng Wang, Guang Zhang, Alan L. Yuille, Zongwei Zhou

Medical Image Anal., 2024

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

Daniel Zhang-Li, Zheyuan Zhang, Jifan Yu, Joy Lim Jia Yin, Shangqing Tu, Linlu Gong, Haohua Wang, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li

CoRR, 2024

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

Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Rui Miao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, Jie Cao, Jiayin Lin, Jinchang Zhou, Fei Qin, Haohua Wang, Jianxiao Jiang, Lijun Deng, Yisi Zhan, Chaojun Xiao, Xusheng Dai, Xuan Yan, Nianyi Lin, Nan Zhang, Ruixin Ni, Yang Dang, Lei Hou, Yu Zhang, Xu Han, Manli Li, Juanzi Li, Zhiyuan Liu, Huiqin Liu, Maosong Sun

CoRR, 2024

Simulating Classroom Education with LLM-Empowered Agents.

Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, Linlu Gong, Jinchang Zhou, Zhiyuan Liu, Lei Hou, Juanzi Li

CoRR, 2024

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

Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci

CoRR, 2024

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

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

CoRR, 2024

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

Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci

CoRR, 2024

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

Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci

CoRR, 2024

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

Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Yilun Du, Chuang Gan

CoRR, 2024

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

Gang Chen, Fanyi Yang, Zheyuan Zhang

CoRR, 2024

Reverse That Number! Decoding Order Matters in Arithmetic Learning.

Daniel Zhang-Li, Nianyi Lin, Jifan Yu, Zheyuan Zhang, Zijun Yao, Xiaokang Zhang, Lei Hou, Jing Zhang, Juanzi Li

CoRR, 2024

EmoBench: Evaluating the Emotional Intelligence of Large Language Models.

Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Juanzi Li, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang

CoRR, 2024

Graph Inference Acceleration by Learning MLPs on Graphs without Supervision.

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

CoRR, 2024

Tackling Negative Transfer on Graphs.

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

CoRR, 2024

Domain Generalization with Correlated Style Uncertainty.

Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci

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.

Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation.

Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci

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.

Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos, Vanshali Sharma, Nikhil Kumar Tomar, Zheyuan Zhang, Ilkin Isler, Gorkem Durak, Michael B. Wallace, Cemal Yazici, Tyler M. Berzin, Koushik Biswas, Ulas Bagci

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

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

Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Explainable Transformer Prototypes for Medical Diagnoses.

Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Subgraph Pooling: Tackling Negative Transfer on Graphs.

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

KoLA: Carefully Benchmarking World Knowledge of Large Language Models.

Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Domain Generalization with fourier Transform and soft thresholding.

Hongyi Pan, Bin Wang, Zheyuan Zhang, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci

Proceedings of the IEEE International Conference on Acoustics, 2024

Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties.

Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A time-sensitive cloud-native network based on eBPF.

Jifei Wen, Jingguo Ge, Zheyuan Zhang, Hui Li, Yuepeng E, Bingzhen Wu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

EmoBench: Evaluating the Emotional Intelligence of Large Language Models.

Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang

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.

Fan Xu, Zheyuan Zhang, Duanduan Liu

J. Multim. Inf. Syst., September, 2023

Factors Influencing Behavioral Intention for Mobile Applications of Health Care Escort Service.

Fan Xu, Zheyuan Zhang, Duanduan Liu

J. Multim. Inf. Syst., June, 2023

Wearable teleoperation controller with 2-DoF robotic arm and haptic feedback for enhanced interaction in virtual reality.

Zheyuan Zhang, Chen Qian

Frontiers Neurorobotics, June, 2023

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

Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Joyce Chai

CoRR, 2023

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

Zheyuan Zhang, Lanhong Yao, Bin Wang, Debesh Jha, Elif Keles, Alpay Medetalibeyoglu, Ulas Bagci

CoRR, 2023

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

Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange

CoRR, 2023

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

Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci

CoRR, 2023

GazeSAM: What You See is What You Segment.

Bin Wang, Armstrong Aboah, Zheyuan Zhang, Ulas Bagci

CoRR, 2023

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.

Debesh Jha, Ashish Rauniyar, Abhishek Srivastava, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Vanshali Sharma, Elif Keles, Zheyuan Zhang, Ugur Demir, Ahmet Topcu, Anis Yazidi, Jan Erik Håkegård, Ulas Bagci

CoRR, 2023

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.

Zheyuan Zhang, Bin Wang, Lanhong Yao, Ugur Demir, Debesh Jha, Ismail Baris Turkbey, Boqing Gong, Ulas Bagci

CoRR, 2023

Radiomics Boosts Deep Learning Model for IPMN Classification.

Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Ensemble Learning with Residual Transformer for Brain Tumor Segmentation.

Lanhong Yao, Zheyuan Zhang, Ulas Bagci

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

Jiawei Liu, Michael Kam, Justin D. Opfermann, Zheyuan Zhang, Michael H. Hsieh, Jin U. Kang, Axel Krieger

IROS, 2023

GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model.

Bin Wang, Armstrong Aboah, Zheyuan Zhang, Hongyi Pan, Ulas Bagci

Proceedings of the Gaze Meets Machine Learning Workshop, 2023

Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach.

Zheyuan Zhang, Jifan Yu, Juanzi Li, Lei Hou

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.

Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai

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.

Shangqing Tu, Zheyuan Zhang, Jifan Yu, Chunyang Li, Siyu Zhang, Zijun Yao, Lei Hou, Juanzi Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Stress recognition based on graph structure representation of facial StO2.

Jiaxiu Wang, Xinyu Liu, Yingjuan Jia, Tong Chen, Jingru Huang, Zheyuan Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Long Video Micro-expression Spotting Based On OCC Theory.

BingTong Liu, Zheyuan Zhang, Ju Zhou, Hanpu Wang, Tong Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

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

Chris Sanchez, Zheyuan Zhang

CoRR, 2022

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

Qingyang Zhong, Jifan Yu, Zheyuan Zhang, Yiming Mao, Yuquan Wang, Yankai Lin, Lei Hou, Juanzi Li, Jie Tang

CoRR, 2022

Source-Free Implicit Semantic Augmentation for Domain Adaptation.

Zheyuan Zhang, Zili Zhang

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Dynamic Linear Transformer for 3D Biomedical Image Segmentation.

Zheyuan Zhang, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Sparse Dense Transformer Network for Video Action Recognition.

Xiaochun Qu, Zheyuan Zhang, Wei Xiao, Jinye Ran, Guodong Wang, Zili Zhang

Proceedings of the Knowledge Science, Engineering and Management, 2022

Transformer Based Generative Adversarial Network for Liver Segmentation.

Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela P. Ladner, Ulas Bagci

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.

Cassandra E. L. Seah, Sijin Sun, Zheyuan Zhang, Talya Porat, Andrew Waterhouse, Rafael A. Calvo

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.

Chao Zhang, Zheyuan Zhang, Yuchen Tian, Sze Yun Set, Shinji Yamashita

IEEE Trans. Instrum. Meas., 2021

Practical Bandwidth Allocation for Video QoE Fairness.

Wanchun Jiang, Pan Ning, Zheyuan Zhang, Jintian Hu, Zhicheng Ren, Jianxin Wang

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

AnyOpt: predicting and optimizing IP Anycast performance.

Xiao Zhang, Tanmoy Sen, Zheyuan Zhang, Tim April, Balakrishnan Chandrasekaran, David R. Choffnes, Bruce M. Maggs, Haiying Shen, Ramesh K. Sitaraman, Xiaowei Yang

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.

Xun Liu, Junling You, Yulei Wu, Tong Li, Liangxiong Li, Zheyuan Zhang, Jingguo Ge

Inf. Sci., 2020

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

Ting Wen, Zheyuan Zhang, Xiangning Lin, Zhengtian Li, Chong Chen, Zhixun Wang

IEEE Access, 2020

3D Point Cloud Registration for Multiple Roadside LiDARs with Retroreflective Reference.

Zheyuan Zhang, Jianying Zheng, Rongchuan Sun, Zhenyao Zhang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019

Design of H_∞ Output Feedback Controller for Gas Turbine Engine Distributed Control With Random Packet Dropouts.

Qiang Pan, Zheyuan Zhang, Xiaofeng Liu

IEEE Access, 2019