Takip et
Fan Yang
Fan Yang
Assistant Professor of Computer Science, Wake Forest University
wfu.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Score-CAM: Score-weighted visual explanations for convolutional neural networks
H Wang, Z Wang, M Du, F Yang, Z Zhang, S Ding, P Mardziel, X Hu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1499*2020
Explainability for large language models: A survey
H Zhao, H Chen, F Yang, N Liu, H Deng, H Cai, S Wang, D Yin, M Du
ACM Transactions on Intelligent Systems and Technology, 2024
4182024
Fairness in deep learning: A computational perspective
M Du, F Yang, N Zou, X Hu
IEEE Intelligent Systems 36 (4), 25-34, 2020
2922020
Data-centric artificial intelligence: A survey
D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang, S Zhong, X Hu
ACM Computing Surveys, 2023
2502023
An embarrassingly simple approach for trojan attack in deep neural networks
R Tang, M Du, N Liu, F Yang, X Hu
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
2172020
XFake: Explainable fake news detector with visualizations
F Yang, SK Pentyala, S Mohseni, M Du, H Yuan, R Linder, ED Ragan, S Ji, ...
The World Wide Web Conference, 3600-3604, 2019
1562019
Data-centric ai: Perspectives and challenges
D Zha, ZP Bhat, KH Lai, F Yang, X Hu
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
1132023
Evaluating explanation without ground truth in interpretable machine learning
F Yang, M Du, X Hu
arXiv preprint arXiv:1907.06831, 2019
109*2019
Generalized demographic parity for group fairness
Z Jiang, X Han, C Fan, F Yang, A Mostafavi, X Hu
International Conference on Learning Representations, 2022
722022
On attribution of recurrent neural network predictions via additive decomposition
M Du, N Liu, F Yang, S Ji, X Hu
The world wide web conference, 383-393, 2019
672019
Machine learning explanations to prevent overtrust in fake news detection
S Mohseni, F Yang, S Pentyala, M Du, Y Liu, N Lupfer, X Hu, S Ji, ...
Proceedings of the international AAAI conference on web and social media 15 …, 2021
642021
EXACT: Scalable graph neural networks training via extreme activation compression
Z Liu, K Zhou, F Yang, L Li, R Chen, X Hu
International Conference on Learning Representations, 2021
622021
Learning credible deep neural networks with rationale regularization
M Du, N Liu, F Yang, X Hu
2019 IEEE International Conference on Data Mining (ICDM), 150-159, 2019
582019
Efficient xai techniques: A taxonomic survey
YN Chuang, G Wang, F Yang, Z Liu, X Cai, M Du, X Hu
arXiv preprint arXiv:2302.03225, 2023
39*2023
Towards interpretation of recommender systems with sorted explanation paths
F Yang, N Liu, S Wang, X Hu
2018 IEEE International Conference on Data Mining (ICDM), 667-676, 2018
392018
Usable XAI: 10 strategies towards exploiting explainability in the LLM era
X Wu, H Zhao, Y Zhu, Y Shi, F Yang, T Liu, X Zhai, W Yao, J Li, M Du, ...
arXiv preprint arXiv:2403.08946, 2024
372024
Model-based counterfactual synthesizer for interpretation
F Yang, SS Alva, J Chen, X Hu
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
372021
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
M Jin, Q Yu, J Huang, Q Zeng, Z Wang, W Hua, H Zhao, K Mei, Y Meng, ...
Proceedings of the 31st International Conference on Computational …, 2025
36*2025
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Insertion
R Tang, Q Feng, N Liu, F Yang, X Hu
ACM SIGKDD Explorations, 2023
36*2023
Trust evolution over time in explainable AI for fake news detection
S Mohseni, F Yang, S Pentyala, M Du, Y Liu, N Lupfer, X Hu, S Ji, ...
Fair & Responsible AI Workshop at CHI 2020, 2020
36*2020
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Makaleler 1–20