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Yao SHU (舒瑶)
Yao SHU (舒瑶)
Guangdong Lab of AI and Digital Economy (SZ)
E-mail confirmado em gml.ac.cn - Página inicial
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Ano
Understanding architectures learnt by cell-based neural architecture search
Y Shu, W Wang, S Cai
Proc. ICLR, 2020
1122020
Effective and efficient dropout for deep convolutional neural networks
S Cai, Y Shu, G Chen, BC Ooi, W Wang, M Zhang
arXiv preprint arXiv:1904.03392, 2019
962019
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
Z Wu, Y Shu, BKH Low
Proc. ICML, 2022
552022
Efficient memory management for gpu-based deep learning systems
J Zhang, SH Yeung, Y Shu, B He, W Wang
arXiv preprint arXiv:1903.06631, 2019
522019
Dynamic routing networks
S Cai, Y Shu, W Wang
Proc. WACV, 2021
512021
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
Y Shu, S Cai, Z Dai, BC Ooi, BKH Low
Proc. ICLR, 2022
492022
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
Y Shu, Z Dai, Z Wu, BKH Low
Proc. NeurIPS, 2022
332022
Federated Neural Bandit
Z Dai, Y Shu, A Verma, FX Fan, BKH Low, P Jaillet
Proc. ICLR, 2023
242023
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers
X Lin, Z Wu, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low
Proc. ICML, 2024
222024
Sample-Then-Optimize Batch Neural Thompson Sampling
Z Dai, Y Shu, BKH Low, P Jaillet
Proc. NeurIPS, 2022
192022
Neural Ensemble Search via Bayesian Sampling
Y Shu, Y CHEN, Z Dai, BKH Low
Proc. UAI, 2022
13*2022
Quantum Bayesian Optimization
Z Dai, GKR Lau, A Verma, Y Shu, BKH Low, P Jaillet
Proc. NeurIPS, 2023
112023
Zeroth-order optimization with trajectory-informed derivative estimation
Y Shu, Z Dai, W Sng, A Verma, P Jaillet, BKH Low
Proc. ICLR, 2023
92023
Heterogeneous Federated Zeroth-Order Optimization using Gradient Surrogates
Y Shu, X Lin, Z Dai, BKH Low
Differentiable Almost Everything Workshop @ ICML, 2024
7*2024
Randomness in Deconvolutional Networks for Visual Representation
K He, J Wang, H Li, Y Shu, M Zhang, M Zhu, L Wang, JE Hopcroft
arXiv preprint arXiv:1704.00330, 2017
7*2017
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
Z Wu, X Lin, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low
Proc. NeurIPS, 2024
52024
Localized zeroth-order prompt optimization
W Hu, Y Shu, Z Yu, Z Wu, X Lin, Z Dai, SK Ng, BKH Low
Proc. NeurIPS (Spotlight), 2024
42024
Flexora: Flexible Low Rank Adaptation for Large Language Models
C Wei, Y Shu, YT He, FR Yu
Fine-Tuning in Modern Machine Learning Workshop @ NeurIPS, 2024
12024
Data valuation in federated learning
Z Wu, X Xu, RHL Sim, Y Shu, X Lin, L Agussurja, Z Dai, SK Ng, CS Foo, ...
Federated Learning, 281-296, 2024
12024
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
Y Shu, W Hu, SK Ng, BKH Low, FR Yu
Federated Foundation Models Workshop @ NeurIPS (Oral), 2024
2024
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