Общедоступные статьи - Shengjie WangПодробнее...
1 статья недоступна нигде
PSLF: Defending Against Label Leakage in Split Learning
X Wan, J Sun, S Wang, L Chen, Z Zheng, F Wu, G Chen
Proceedings of the 32nd ACM International Conference on Information and …, 2023
Финансирование: National Natural Science Foundation of China
15 статей доступны в некоторых источниках
Robust curriculum learning: from clean label detection to noisy label self-correction
T Zhou, S Wang, J Bilmes
International Conference on Learning Representations, 2020
Финансирование: US National Science Foundation, US Department of Defense, US National …
Curriculum learning by dynamic instance hardness
T Zhou, S Wang, J Bilmes
Advances in Neural Information Processing Systems 33, 8602-8613, 2020
Финансирование: US National Science Foundation, US Department of Defense, US National …
Dgrec: Graph neural network for recommendation with diversified embedding generation
L Yang, S Wang, Y Tao, J Sun, X Liu, PS Yu, T Wang
Proceedings of the sixteenth ACM international conference on web search and …, 2023
Финансирование: US National Science Foundation
Time-Consistent Self-Supervision for Semi-Supervised Learning
T Zhou, S Wang, JA Bilmes
International Conference on Machine Learning, 2020
Финансирование: US National Science Foundation, US Department of Defense, US National …
Bias also matters: Bias attribution for deep neural network explanation
S Wang, T Zhou, J Bilmes
International Conference on Machine Learning, 6659-6667, 2019
Финансирование: US National Science Foundation, US Department of Defense, US National …
Mixed robust/average submodular partitioning: Fast algorithms, guarantees, and applications
K Wei, RK Iyer, S Wang, W Bai, JA Bilmes
Advances in Neural Information Processing Systems 28, 2015
Финансирование: US National Institutes of Health
Diverse ensemble evolution: Curriculum data-model marriage
T Zhou, S Wang, JA Bilmes
Advances in Neural Information Processing Systems 31, 2018
Финансирование: US National Science Foundation, US Department of Defense, US National …
Retrospective adversarial replay for continual learning
L Kumari, S Wang, T Zhou, JA Bilmes
Advances in neural information processing systems 35, 28530-28544, 2022
Финансирование: US Department of Defense
Curriculum learning by optimizing learning dynamics
T Zhou, S Wang, J Bilmes
International Conference on Artificial Intelligence and Statistics, 433-441, 2021
Финансирование: US National Science Foundation, US Department of Defense, US National …
Jumpout: improved dropout for deep neural networks with ReLUs
S Wang, T Zhou, J Bilmes
International conference on machine learning, 6668-6676, 2019
Финансирование: US National Science Foundation, US Department of Defense, US National …
Single-nanoparticle orientation sensing by deep learning
J Hu, T Liu, P Choo, S Wang, T Reese, AD Sample, TW Odom
ACS central science 6 (12), 2339-2346, 2020
Финансирование: US National Science Foundation, US Department of Defense, US National …
Fixing mini-batch sequences with hierarchical robust partitioning
S Wang, W Bai, C Lavania, J Bilmes
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Финансирование: US Department of Defense
Constrained robust submodular partitioning
S Wang, T Zhou, C Lavania, JA Bilmes
Advances in Neural Information Processing Systems 34, 2721-2732, 2021
Финансирование: US Department of Defense
Full index deep retrieval: End-to-end user and item structures for cold-start and long-tail item recommendation
Z Gong, X Wu, L Chen, Z Zheng, S Wang, A Xu, C Wang, F Wu
Proceedings of the 17th ACM Conference on Recommender Systems, 47-57, 2023
Финансирование: National Natural Science Foundation of China
Faster and more accurate graphical model identification of tandem mass spectra using trellises
S Wang, JT Halloran, JA Bilmes, WS Noble
Bioinformatics 32 (12), i322-i331, 2016
Финансирование: US National Institutes of Health
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