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ORCIDZheyuan Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j15]Zheyuan Zhang
, Xinyu Liu, Yingjuan Jia, Ju Zhou, Hanpu Wang, Jiaxiu Wang, Tong Chen:
Facial StO2-based personal identification: dataset construction, feasibility study, and recognition framework. Appl. Intell. 55(6): 378 (2025)- [j14]Zheyuan Zhang, Bingtong Liu, Ju Zhou, Hanpu Wang, Xinyu Liu, Bing Lin, Tong Chen:
Masked facial expression recognition based on temporal overlap module and action unit graph convolutional network. J. Vis. Commun. Image Represent. 107: 104398 (2025) - [j13]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:
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 99: 103307 (2025) - [j12]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:
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning. Medical Image Anal. 99: 103382 (2025) - [c39]Zheyuan Zhang:
A Combinatorial Approach to Neural Emergent Communication. COLING 2025: 1660-1666 - [c38]Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. KDD (1) 2025: 2860-2871 - [c37]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:
Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination. KDD (1) 2025: 2872-2883 - [c36]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Training MLPs on Graphs without Supervision. WSDM 2025: 697-706 - [i48]Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Neural Graph Pattern Machine. CoRR abs/2501.18739 (2025) - [i47]Zheyuan Zhang, Runze Li, Tasnim Kabir, Jordan L. Boyd-Graber:
NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization. CoRR abs/2502.14638 (2025) - [i46]Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. CoRR abs/2503.01900 (2025) - 2024
- [j11]Debin Huang, Chan Wu, Yiwen Wang, Zheyuan Zhang, Cheng Chen, Li Li, Wei Zhang, Zixuan Zhang, Jinyu Li, Yuzhu Guo, Guiyun Cui:
Episode-level prediction of freezing of gait based on wearable inertial signals using a deep neural network model. Biomed. Signal Process. Control. 88(Part B): 105613 (2024) - [j10]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:
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking. Medical Image Anal. 97: 103285 (2024) - [j9]Ju Zhou, Xinyu Liu, Hanpu Wang, Zheyuan Zhang, Tong Chen, Xiaolan Fu, Guangyuan Liu:
Seeing Through the Mask: Recognition of Genuine Emotion Through Masked Facial Expression. IEEE Trans. Comput. Soc. Syst. 11(6): 7159-7172 (2024) - [j8]Julio Rey Ramirez, Peter Rautek, Ciril Bohak, Ondrej Strnad, Zheyuan Zhang, Sai Li, Ivan Viola, Wolfgang Heidrich:
GPU Accelerated 3D Tomographic Reconstruction and Visualization From Noisy Electron Microscopy Tilt-Series. IEEE Trans. Vis. Comput. Graph. 30(7): 3331-3345 (2024) - [c35]Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang:
EmoBench: Evaluating the Emotional Intelligence of Large Language Models. ACL (1) 2024: 5986-6004 - [c34]Jifei Wen, Jingguo Ge, Zheyuan Zhang, Hui Li, Yuepeng E, Bingzhen Wu:
A time-sensitive cloud-native network based on eBPF. CSCWD 2024: 2577-2582 - [c33]Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci:
PAM-UNet: Shifting Attention on Region of Interest in Medical Images. EMBC 2024: 1-5 - [c32]Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci:
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques. EMBC 2024: 1-4 - [c31]Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai:
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties. EMNLP 2024: 20416-20431 - [c30]Hongyi Pan, Bin Wang, Zheyuan Zhang, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci:
Domain Generalization with fourier Transform and soft thresholding. ICASSP 2024: 2106-2110 - [c29]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:
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR 2024 - [c28]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Subgraph Pooling: Tackling Negative Transfer on Graphs. IJCAI 2024: 5153-5161 - [c27]Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci:
Explainable Transformer Prototypes for Medical Diagnoses. ISBI 2024: 1-5 - [c26]Xinrui Zou, Zheyuan Zhang, Alexander Schwarz, Mehran Armand, Alejandro Martin-Gomez:
ARthroNeRF: Field of View Enhancement of Arthroscopic Surgeries using Augmented Reality and Neural Radiance Fields. ISMAR 2024: 1197-1205 - [c25]Jifei Wen, Jingguo Ge, Zheyuan Zhang, Yuepeng E, Bingzhen Wu:
A Latency-Predictable Cloud-Native Network Architecture based on XDP. ISPA 2024: 661-668 - [c24]Zheyuan Zhang, Song Wang, Jingguo Ge, Yiming Xu, Yulei Wu, Jifei Wen:
Graph Anomaly Detection via Cross-Layer Integration. ISPA 2024: 710-717 - [c23]Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. KDD 2024: 6312-6323 - [c22]Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci:
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. AIPAD/PILM@MICCAI 2024: 35-44 - [c21]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:
Practical and Ethical Considerations for Generative AI in Medical Imaging. FAIMI/EPIMI@MICCAI 2024: 176-187 - [c20]Zehong Wang, Zheyuan Zhang, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
GFT: Graph Foundation Model with Transferable Tree Vocabulary. NeurIPS 2024 - [c19]Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci:
Domain Generalization with Correlated Style Uncertainty. WACV 2024: 1989-1998 - [c18]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. WACV 2024: 2183-2192 - [i45]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Tackling Negative Transfer on Graphs. CoRR abs/2402.08907 (2024) - [i44]Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Juanzi Li, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang:
EmoBench: Evaluating the Emotional Intelligence of Large Language Models. CoRR abs/2402.12071 (2024) - [i43]Daniel Zhang-Li, Nianyi Lin, Jifan Yu, Zheyuan Zhang, Zijun Yao, Xiaokang Zhang, Lei Hou, Jing Zhang, Juanzi Li:
Reverse That Number! Decoding Order Matters in Arithmetic Learning. CoRR abs/2403.05845 (2024) - [i42]Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci:
Explainable Transformer Prototypes for Medical Diagnoses. CoRR abs/2403.06961 (2024) - [i41]Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Vincent Galassi, Jasmine White, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. CoRR abs/2403.08820 (2024) - [i40]Gang Chen, Fanyi Yang, Zheyuan Zhang:
Superconvergence error estimates for the div least-squares finite element method on elliptic problems. CoRR abs/2404.04918 (2024) - [i39]Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Yilun Du, Chuang Gan:
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation. CoRR abs/2404.10775 (2024) - [i38]Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci:
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques. CoRR abs/2404.17064 (2024) - [i37]Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci:
PAM-UNet: Shifting Attention on Region of Interest in Medical Images. CoRR abs/2405.01503 (2024) - [i36]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:
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. CoRR abs/2405.06166 (2024) - [i35]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:
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR abs/2405.12367 (2024) - [i34]Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, Linlu Gong, Jinchang Zhou, Zhiyuan Liu, Lei Hou, Juanzi Li:
Simulating Classroom Education with LLM-Empowered Agents. CoRR abs/2406.19226 (2024) - [i33]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:
AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking. CoRR abs/2407.16697 (2024) - [i32]Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci:
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. CoRR abs/2407.19284 (2024) - [i31]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:
From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents. CoRR abs/2409.03512 (2024) - [i30]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:
Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination. CoRR abs/2409.07372 (2024) - [i29]Zheyuan Zhang, Fengyuan Hu, Jayjun Lee, Freda Shi, Parisa Kordjamshidi, Joyce Chai, Ziqiao Ma:
Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities. CoRR abs/2410.17385 (2024) - [i28]Zheyuan Zhang:
A Combinatorial Approach to Neural Emergent Communication. CoRR abs/2410.18806 (2024) - [i27]Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Yavuz Taktak, Elif Keles, Ertugrul Aktas, Alpay Medetalibeyoglu, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Rajesh N. Keswani, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Michael G. Goggins, Michael B. Wallace, Ziyue Xu, Ulas Bagci:
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. CoRR abs/2410.22530 (2024) - [i26]Hongyi Pan, Ziliang Hong, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Yavuz Taktak, Alpay Medetalibeyoglu, Zheyuan Zhang, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ziyue Xu, Ulas Bagci:
IPMN Risk Assessment under Federated Learning Paradigm. CoRR abs/2411.05697 (2024) - [i25]Zehong Wang, Zheyuan Zhang, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
GFT: Graph Foundation Model with Transferable Tree Vocabulary. CoRR abs/2411.06070 (2024) - [i24]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Training MLPs on Graphs without Supervision. CoRR abs/2412.03864 (2024) - [i23]Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. CoRR abs/2412.08847 (2024) - [i22]Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye:
Can LLMs Convert Graphs to Text-Attributed Graphs? CoRR abs/2412.10136 (2024) - [i21]Shane Storks, Itamar Bar-Yossef, Yayuan Li, Zheyuan Zhang, Jason J. Corso, Joyce Chai:
Explainable Procedural Mistake Detection. CoRR abs/2412.11927 (2024) - [i20]Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. CoRR abs/2412.15547 (2024) - [i19]Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Learning Cross-Task Generalities Across Graphs via Task-trees. CoRR abs/2412.16441 (2024) - 2023
- [j7]Zheyuan Zhang, Chen Qian:
Wearable teleoperation controller with 2-DoF robotic arm and haptic feedback for enhanced interaction in virtual reality. Frontiers Neurorobotics 17 (2023) - [j6]Fan Xu, Zheyuan Zhang, Duanduan Liu:
Factors Influencing Behavioral Intention for Mobile Applications of Health Care Escort Service. J. Multim. Inf. Syst. 10(2): 179-190 (2023) - [j5]Fan Xu, Zheyuan Zhang, Duanduan Liu:
Erratum to: Factors Influencing Behavioral Intention for Mobile Applications of Health Care Escort Service. J. Multim. Inf. Syst. 10(3): 291 (2023) - [c17]Jiaxiu Wang, Xinyu Liu, Yingjuan Jia, Tong Chen, Jingru Huang, Zheyuan Zhang:
Stress recognition based on graph structure representation of facial StO2. BIBM 2023: 1481-1488 - [c16]Bingtong Liu, Zheyuan Zhang, Ju Zhou, Hanpu Wang, Tong Chen:
Long Video Micro-expression Spotting Based On OCC Theory. BIBM 2023: 2101-2106 - [c15]Shangqing Tu, Zheyuan Zhang, Jifan Yu, Chunyang Li, Siyu Zhang, Zijun Yao, Lei Hou, Juanzi Li:
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts. CIKM 2023: 4843-4849 - [c14]Zheyuan Zhang, Jifan Yu, Juanzi Li, Lei Hou:
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach. EMNLP (Findings) 2023: 1643-1650 - [c13]Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai:
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. EMNLP 2023: 7354-7379 - [c12]Bin Wang, Armstrong Aboah, Zheyuan Zhang, Hongyi Pan, Ulas Bagci:
GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model. Gaze Meets ML 2023: 254-265 - [c11]Jiawei Liu, Michael Kam, Justin D. Opfermann, Zheyuan Zhang, Michael H. Hsieh, Jin U. Kang, Axel Krieger:
Development and Evaluation of a Single-arm Robotic System for Autonomous Suturing. IROS 2023: 8480-8486 - [c10]Lanhong Yao, Zheyuan Zhang, Ulas Bagci:
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation. ISBI 2023: 1-5 - [c9]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:
Radiomics Boosts Deep Learning Model for IPMN Classification. MLMI@MICCAI (2) 2023: 134-143 - [i18]Zheyuan Zhang, Bin Wang, Lanhong Yao, Ugur Demir, Debesh Jha, Ismail Baris Turkbey, Boqing Gong, Ulas Bagci:
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation. CoRR abs/2304.02720 (2023) - [i17]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:
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. CoRR abs/2304.11530 (2023) - [i16]Bin Wang, Armstrong Aboah, Zheyuan Zhang, Ulas Bagci:
GazeSAM: What You See is What You Segment. CoRR abs/2304.13844 (2023) - [i15]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification. CoRR abs/2305.18221 (2023) - [i14]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, Nianyi Lin, Kaifeng Yun, Linlu Gong, 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:
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. CoRR abs/2306.09296 (2023) - [i13]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:
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR abs/2307.16262 (2023) - [i12]Lanhong Yao, Zheyuan Zhang, Ulas Bagci:
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation. CoRR abs/2308.00128 (2023) - [i11]Shangqing Tu, Zheyuan Zhang, Jifan Yu, Chunyang Li, Siyu Zhang, Zijun Yao, Lei Hou, Juanzi Li:
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts. CoRR abs/2308.05935 (2023) - [i10]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:
Radiomics Boosts Deep Learning Model for IPMN Classification. CoRR abs/2309.05857 (2023) - [i9]Zheyuan Zhang, Jifan Yu, Juanzi Li, Lei Hou:
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach. CoRR abs/2310.08172 (2023) - [i8]Zheyuan Zhang, Lanhong Yao, Bin Wang, Debesh Jha, Elif Keles, Alpay Medetalibeyoglu, Ulas Bagci:
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model. CoRR abs/2310.12868 (2023) - [i7]Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai:
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. CoRR abs/2310.18364 (2023) - [i6]Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Joyce Chai:
Efficient In-Context Learning in Vision-Language Models for Egocentric Videos. CoRR abs/2311.17041 (2023) - 2022
- [c8]Cassandra E. L. Seah, Sijin Sun, Zheyuan Zhang, Talya Porat, Andrew Waterhouse, Rafael A. Calvo:
Using a User Centered Design Approach to Design Mindfulness Conversational Agent for Persons with Dementia and their Caregivers. UbiComp/ISWC Adjunct 2022: 207-210 - [c7]Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela P. Ladner, Ulas Bagci:
Transformer Based Generative Adversarial Network for Liver Segmentation. ICIAP Workshops 2022: 340-347 - [c6]Xiaochun Qu, Zheyuan Zhang, Wei Xiao, Jinye Ran, Guodong Wang, Zili Zhang:
Sparse Dense Transformer Network for Video Action Recognition. KSEM (2) 2022: 43-56 - [c5]Zheyuan Zhang, Ulas Bagci:
Dynamic Linear Transformer for 3D Biomedical Image Segmentation. MLMI@MICCAI 2022: 171-180 - [c4]Zheyuan Zhang, Zili Zhang:
Source-Free Implicit Semantic Augmentation for Domain Adaptation. PRICAI (2) 2022: 17-31 - [i5]Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela P. Ladner, Ulas Bagci:
Transformer based Generative Adversarial Network for Liver Segmentation. CoRR abs/2205.10663 (2022) - [i4]Zheyuan Zhang, Ulas Bagci:
Dynamic Linear Transformer for 3D Biomedical Image Segmentation. CoRR abs/2206.00771 (2022) - [i3]Qingyang Zhong, Jifan Yu, Zheyuan Zhang, Yiming Mao, Yuquan Wang, Yankai Lin, Lei Hou, Juanzi Li, Jie Tang:
Towards a General Pre-training Framework for Adaptive Learning in MOOCs. CoRR abs/2208.04708 (2022) - [i2]Chris Sanchez, Zheyuan Zhang:
The Effects of In-domain Corpus Size on pre-training BERT. CoRR abs/2212.07914 (2022) - [i1]Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci:
Domain Generalization with Correlated Style Uncertainty. CoRR abs/2212.09950 (2022) - 2021
- [j4]Chao Zhang, Zheyuan Zhang, Yuchen Tian, Sze Yun Set, Shinji Yamashita:
Comprehensive Ranging Disambiguation for Amplitude-Modulated Continuous-Wave Laser Scanner With Focusing Optics. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c3]Xiao Zhang, Tanmoy Sen, Zheyuan Zhang, Tim April, Balakrishnan Chandrasekaran, David R. Choffnes, Bruce M. Maggs, Haiying Shen, Ramesh K. Sitaraman, Xiaowei Yang:
AnyOpt: predicting and optimizing IP Anycast performance. SIGCOMM 2021: 447-462 - [c2]Wanchun Jiang, Pan Ning, Zheyuan Zhang, Jintian Hu, Zhicheng Ren, Jianxin Wang:
Practical Bandwidth Allocation for Video QoE Fairness. WASA (1) 2021: 523-534 - 2020
- [j3]Ting Wen, Zheyuan Zhang, Xiangning Lin, Zhengtian Li, Chong Chen, Zhixun Wang:
Research on Modeling and the Operation Strategy of a Hydrogen-Battery Hybrid Energy Storage System for Flexible Wind Farm Grid-Connection. IEEE Access 8: 79347-79356 (2020) - [j2]Xun Liu, Junling You, Yulei Wu, Tong Li, Liangxiong Li, Zheyuan Zhang, Jingguo Ge:
Attention-based bidirectional GRU networks for efficient HTTPS traffic classification. Inf. Sci. 541: 297-315 (2020) - [c1]Zheyuan Zhang, Jianying Zheng, Rongchuan Sun, Zhenyao Zhang:
3D Point Cloud Registration for Multiple Roadside LiDARs with Retroreflective Reference. ICNSC 2020: 1-6
2010 – 2019
- 2019
- [j1]Qiang Pan, Zheyuan Zhang, Xiaofeng Liu:
Design of H∞ Output Feedback Controller for Gas Turbine Engine Distributed Control With Random Packet Dropouts. IEEE Access 7: 1030-1039 (2019)
Coauthor Index
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