1 code implementation • 14 Jan 2025 • Jiaxing Qiu, Dongliang Guo, Papini Natalie, Peace Noelle, Levinson Cheri, Teague R. Henry
Free-text responses are commonly collected in psychological studies, providing rich qualitative insights that quantitative measures may not capture.
no code implementations • 23 Oct 2024 • Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li
Through empirical studies on the capability for performing backdoor attack in large pre-trained models ($\textit{e. g.,}$ ViT), we find the following unique challenges of attacking large pre-trained models: 1) the inability to manipulate or even access large training datasets, and 2) the substantial computational resources required for training or fine-tuning these models.
no code implementations • 10 Oct 2024 • Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li
However, is this effectiveness and cost-efficiency truly a free lunch?
no code implementations • 26 Apr 2024 • Duna Zhan, Dongliang Guo, Pengsheng Ji, Sheng Li
FairGI employs the similarity matrix of individuals to achieve individual fairness within groups, while leveraging adversarial learning to address group fairness in terms of both Equal Opportunity and Statistical Parity.
no code implementations • 11 Dec 2023 • Zhongliang Zhou, Mengxuan Hu, Mariah Salcedo, Nathan Gravel, Wayland Yeung, Aarya Venkat, Dongliang Guo, Jielu Zhang, Natarajan Kannan, Sheng Li
Artificial intelligence (AI), particularly machine learning and deep learning models, has significantly impacted bioinformatics research by offering powerful tools for analyzing complex biological data.
no code implementations • 23 Aug 2023 • Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
Inspired by the concepts in trustworthy AI, we proposed the first trustworthy representation learning across domains framework which includes four concepts, i. e, robustness, privacy, fairness, and explainability, to give a comprehensive literature review on this research direction.
1 code implementation • 25 Feb 2023 • Dongliang Guo, Zhixuan Chu, Sheng Li
To our best knowledge, FairAC is the first method that jointly addresses the graph attribution completion and graph unfairness problems.
1 code implementation • 13 Feb 2023 • Yizhou Wang, Dongliang Guo, Sheng Li, Octavia Camps, Yun Fu
This paper provides the first survey concentrated on explainable visual anomaly detection methods.