Artykuły udostępnione publicznie: - Fan YangWięcej informacji
Niedostępne w żadnym miejscu: 7
Learning credible DNNs via incorporating prior knowledge and model local explanation
M Du, N Liu, F Yang, X Hu
Knowledge and Information Systems 63, 305-332, 2021
Upoważnienia: US National Science Foundation
Data-centric AI: techniques and future perspectives
D Zha, KH Lai, F Yang, N Zou, H Gao, X Hu
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Upoważnienia: US National Science Foundation
Joint bandwidth and power allocation for energy efficiency optimization over heterogeneous LTE/WiFi multi-homing networks
X Zhang, F Yang
2017 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2017
Upoważnienia: US National Science Foundation, US Department of Defense
A QoE-based resource allocation scheme for multi-radio access in heterogeneous wireless network
F Yang, Q Yang, F Fu, KS Kwak
2014 14th International Symposium on Communications and Information …, 2014
Upoważnienia: National Natural Science Foundation of China
Distributed optimal green power allocation for d2d based cellular networks with long-term QoS constraint
F Yang, X Zhang
2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016
Upoważnienia: US National Science Foundation
Spectrum utility driven wifi offloading over noma-based cellular network edges
X Zhang, F Yang
2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017
Upoważnienia: US National Science Foundation, US Department of Defense
Dynamic Resource Allocation for Energy-Efficiency Maximization in Heterogeneous Wireless Networks
F Yang, Q Yang, Q He, KS Kwak
2015 International Conference on Wireless Communications & Signal Processing …, 2015
Upoważnienia: National Natural Science Foundation of China
Dostępne w jakimś miejscu: 21
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
Upoważnienia: US National Science Foundation, US Department of Defense
Fairness in deep learning: A computational perspective
M Du, F Yang, N Zou, X Hu
IEEE Intelligent Systems 36 (4), 25-34, 2020
Upoważnienia: US National Science Foundation, US Department of Defense
Data-centric artificial intelligence: A survey
D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang, S Zhong, X Hu
ACM Computing Surveys, 2023
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Science Foundation, US Department of Defense
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
Upoważnienia: US Department of Defense
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
Upoważnienia: US National Science Foundation
Generalized demographic parity for group fairness
Z Jiang, X Han, C Fan, F Yang, A Mostafavi, X Hu
International Conference on Learning Representations, 2022
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Science Foundation, US Department of Defense
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
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Science Foundation, US Department of Defense
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
Upoważnienia: US National Science Foundation, US Department of Defense
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
Upoważnienia: US National Science Foundation, US Department of Defense
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
Upoważnienia: US National Science Foundation
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