Yifei Dong

21 papers A 1B 2C 1Misc 2Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing collaborative learning through AI-powered feedback systems.
Int. J. Data Sci. Anal.
Xin Qi, Jianlong Zhou, Yifei Dong, Fang Chen
2026 J jnl
Large language models in education: a systematic review of empirical applications, benefits, and challenges.
Comput. Educ. Artif. Intell.
Yuhong Shi, Kun Yu, Yifei Dong, Fang Chen
2025 J jnl
AICAttack: Adversarial Image Captioning Attack with Attention-based Optimization.
Mach. Intell. Res.
Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Yongshun Gong, Wei Liu
2025 — conf
Advancing Patient-AI Conversations with Recursive Learning Memory Using Relational Frame Theory.
MedInfo
Rishu Goyal, Yifei Dong, Kun Yu, Fang Chen
2025 J jnl
An Adaptive Multi-Agent Framework for Semantic-Aware Process Mining.
Comput.
Xiaohan Su, Bin Liang, Zhidong Li, Yifei Dong, Justin Wang, Fang Chen
2025 — conf
Synergistic MARL: Unifying Physics-Informed, Meta Learning, and Hybrid Learning to Outperform Communication-Based Coordination.
AI (2)
Yiyao Zhang, Yifei Dong, Kun Yu, Wei Liu, Jianlong Zhou, Bin Liang, Fang Chen
2024 J jnl
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization.
CoRR
Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Wei Liu
2024 — conf
Chain of Thought Prompting in Vision-Language Model for Vision Reasoning Tasks.
AI (2)
Jianjiu Ou, Jianlong Zhou, Yifei Dong, Fang Chen
2024 — conf
Enhancing Explainability of Deep Learning-Based ECG Diagnosis Using Large Language Models.
ICAAI
Shi Wu, Jianlong Zhou, Yifei Dong, Fang Chen
2024 Misc conf
GRADIOOD: A Framework for Out-of-Distribution Sample Identification Using Signed Gradients for Robust Models.
AusDM
Dalha Alotaibi, Jianlong Zhou, Yifei Dong, Fang Chen
2024 J jnl
Toward Web3 Applications: Easing the Access and Transition.
IEEE Trans. Comput. Soc. Syst.
Guangsheng Yu, Xu Wang, Qin Wang, Tingting Bi, Yifei Dong, Ren Ping Liu, Nektarios Georgalas, Andrew Reeves
2023 A conf
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks.
CIKM
Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen
2023 J jnl
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks.
CoRR
Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen
2022 J jnl
Towards Web3 Applications: Easing the Access and Transition.
CoRR
Guangsheng Yu, Xu Wang, Qin Wang, Tingting Bi, Yifei Dong, Ren Ping Liu, Nektarios Georgalas, Andrew Reeves
2021 C conf
Quantitative, Near Real-Time Mapping of Bushfires Through Integration of Optical and SAR Remote Sensing Techniques.
IGARSS
Linlin Ge, Yufei Wang, Qi Zhang, Zheyuan Du, Chang Liu, Yifei Dong, Tony Sleigh, Tao Guo, Xia Lei, Zhewen Ma
2011 — conf
Automatic image capturing and processing for PetrolWatch.
ICON
Yifei Dong, Salil S. Kanhere, Chun Tung Chou, Ren Ping Liu
2010 J jnl
Statistical reliability for energy efficient data transport in wireless sensor networks.
Wirel. Networks
Zvi Rosberg, Ren Ping Liu, Tuan Le Dinh, Yifei Dong, Sanjay Jha
2008 B conf
Automatic Collection of Fuel Prices from a Network of Mobile Cameras.
DCOSS
Yifei Dong, Salil S. Kanhere, Chun Tung Chou, Nirupama Bulusu
2008 — conf
Implementation aspects of reliable transport protocols in wireless sensor networks.
COMSWARE
Tuan Dinh Le, Yifei Dong, Ren Ping Liu, Sanjay Jha, Zvi Rosberg
2008 B conf
Performance evaluation of a wireless sensor network based tracking system.
MASS
Nadeem Ahmed, Yifei Dong, Salil S. Kanhere, Sanjay K. Jha, Mark Rutten, Travis Bessell, Neil J. Gordon
2007 Misc conf
Detection and tracking using wireless sensor networks.
SenSys
Nadeem Ahmed, Yifei Dong, Tatiana Bokareva, Salil S. Kanhere, Sanjay K. Jha, Travis Bessell, Mark Rutten, Branko Ristic, Neil J. Gordon