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Zhangyang Wang

Showing results (1-10 of 79) with videos related to

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Micromachines|July 27, 2022
Editorial for the Special Issue on Advanced Machine Learning Techniques for Sensing and Imaging ApplicationsBihan Wen, Zhangyang Wang
Facct 2022 : 2022 5Th ACM Conference on Fairness, Accountability, and Transparency : June 21-24, 2022, Seoul, South Korea. ACM Conference on Fairness, Accountability, and Transparency (5Th : 2022 : Seoul, Korea; Online)|April 21, 2023
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient DescentJunyuan Hong, Zhangyang Wang, Jiayu Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 28, 2021
Shape-Matching GAN++: Scale Controllable Dynamic Artistic Text Style TransferShuai Yang, Zhangyang Wang, Jiaying Liu
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 14, 2022
CERL: A Unified Optimization Framework for Light Enhancement With Realistic NoiseZeyuan Chen, Yifan Jiang, Dong Liu, et al.
Bioinformatics (Oxford, England)|February 16, 2019
DeepAffinity: interpretable deep learning of compound-protein affinity through unified recurrent and convolutional neural networksMostafa Karimi, Di Wu, Zhangyang Wang, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 21, 2021
Controllable Sketch-to-Image Translation for Robust Face SynthesisShuai Yang, Zhangyang Wang, Jiaying Liu, et al.
Transactions on Machine Learning Research|April 14, 2023
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution ShiftsHaotao Wang, Junyuan Hong, Jiayu Zhou, et al.
... International Conference on Learning Representations|March 2, 2026
Efficient Split-Mix Federated Learning for On-Demand and In-Situ CustomizationJunyuan Hong, Haotao Wang, Zhangyang Wang, et al.
Proceedings of Machine Learning Research|December 7, 2020
When Does Self-Supervision Help Graph Convolutional Networks?Yuning You, Tianlong Chen, Zhangyang Wang, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 17, 2023
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated LearningJunyuan Hong, Haotao Wang, Zhangyang Wang, et al.
Pageof 8

Showing results (1-10 of 79) with videos related to

Sort By:
Pageof 8
Micromachines|July 27, 2022
Editorial for the Special Issue on Advanced Machine Learning Techniques for Sensing and Imaging ApplicationsBihan Wen, Zhangyang Wang
Facct 2022 : 2022 5Th ACM Conference on Fairness, Accountability, and Transparency : June 21-24, 2022, Seoul, South Korea. ACM Conference on Fairness, Accountability, and Transparency (5Th : 2022 : Seoul, Korea; Online)|April 21, 2023
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient DescentJunyuan Hong, Zhangyang Wang, Jiayu Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 28, 2021
Shape-Matching GAN++: Scale Controllable Dynamic Artistic Text Style TransferShuai Yang, Zhangyang Wang, Jiaying Liu
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 14, 2022
CERL: A Unified Optimization Framework for Light Enhancement With Realistic NoiseZeyuan Chen, Yifan Jiang, Dong Liu, et al.
Bioinformatics (Oxford, England)|February 16, 2019
DeepAffinity: interpretable deep learning of compound-protein affinity through unified recurrent and convolutional neural networksMostafa Karimi, Di Wu, Zhangyang Wang, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 21, 2021
Controllable Sketch-to-Image Translation for Robust Face SynthesisShuai Yang, Zhangyang Wang, Jiaying Liu, et al.
Transactions on Machine Learning Research|April 14, 2023
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution ShiftsHaotao Wang, Junyuan Hong, Jiayu Zhou, et al.
... International Conference on Learning Representations|March 2, 2026
Efficient Split-Mix Federated Learning for On-Demand and In-Situ CustomizationJunyuan Hong, Haotao Wang, Zhangyang Wang, et al.
Proceedings of Machine Learning Research|December 7, 2020
When Does Self-Supervision Help Graph Convolutional Networks?Yuning You, Tianlong Chen, Zhangyang Wang, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 17, 2023
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated LearningJunyuan Hong, Haotao Wang, Zhangyang Wang, et al.
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