Yao Shu

According to our database, Yao Shu authored at least 36 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models.

Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu

CoRR, 2024

Flexora: Flexible Low Rank Adaptation for Large Language Models.

Chenxing Wei, Yao Shu, Ying Tiffany He, Fei Richard Yu

CoRR, 2024

Data-Centric AI in the Age of Large Language Models.

Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma, Yao Shu, Jingtan Wang, Xinyuan Niu, Zhenfeng He, Jiangwei Chen, Zijian Zhou, Gregory Kang Ruey Lau, Hieu Dao, Lucas Agussurja, Rachael Hwee Ling Sim, Xiaoqiang Lin, Wenyang Hu, Zhongxiang Dai, Pang Wei Koh, Bryan Kian Hsiang Low

CoRR, 2024

Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars.

Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low

CoRR, 2024

Localized Zeroth-Order Prompt Optimization.

Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiangqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low

CoRR, 2024

OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations.

Yao Shu, Jiongfeng Fang, Ying Tiffany He, Fei Richard Yu

CoRR, 2024

Small-Scale Pedestrian Detection Using Fusion Network and Probabilistic Loss.

Hongchang Zhang, Kang Yang, Heng Liu, Jiali Hu, Yao Shu, Juan Zeng

IEEE Access, 2024

Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers.

Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robustifying and Boosting Training-Free Neural Architecture Search.

Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Position Paper: Data-Centric AI in the Age of Large Language Models.

Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma, Yao Shu, Jingtan Wang, Xinyuan Niu, Zhenfeng He, Jiangwei Chen, Zijian Zhou, Gregory Kang Ruey Lau, Hieu Dao, Lucas Agussurja, Rachael Hwee Ling Sim, Xiaoqiang Lin, Wenyang Hu, Zhongxiang Dai, Pang Wei Koh, Bryan Kian Hsiang Low

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers.

Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low

CoRR, 2023

Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients.

Yao Shu, Xiaoqiang Lin, Zhongxiang Dai, Bryan Kian Hsiang Low

CoRR, 2023

Exploiting Correlated Auxiliary Feedback in Parameterized Bandits.

Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantum Bayesian Optimization.

Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation.

Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Federated Neural Bandits.

Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Federated Neural Bandit.

Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet

CoRR, 2022

Neural ensemble search via Bayesian sampling.

Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search.

Yao Shu, Zhongxiang Dai, Zhaoxuan Wu, Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sample-Then-Optimize Batch Neural Thompson Sampling.

Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DAVINZ: Data Valuation using Deep Neural Networks at Initialization.

Zhaoxuan Wu, Yao Shu, Bryan Kian Hsiang Low

Proceedings of the International Conference on Machine Learning, 2022

NASI: Label- and Data-agnostic Neural Architecture Search at Initialization.

Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search.

Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low

CoRR, 2021

Dynamic Routing Networks.

Shaofeng Cai, Yao Shu, Wei Wang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Multimodal information fusion based human movement recognition.

Yao Shu, Heng Zhang

Multim. Tools Appl., 2020

Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization.

Min Zhang, Yao Shu, Kun He

CoRR, 2020

Understanding Architectures Learnt by Cell-based Neural Architecture Search.

Yao Shu, Wei Wang, Shaofeng Cai

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Wireless non-invasive motion tracking of functional behavior.

Heng Zhang, Jan D. Smeddinck, Rainer Malaka, Yao Shu, Chong Chen, Bo He, Zengjun Fu, Michael Lawo

Pervasive Mob. Comput., 2019

Research and development of off-line services for the 3D automatic printing machine based on cloud manufacturing.

Chenglei Zhang, Buyun Sheng, Xiyan Yin, Feiyu Zhao, Yao Shu

J. Ambient Intell. Humaniz. Comput., 2019

Parameterized representation and solution method of the lightweight 3D model virtual assembly constraint.

Buyun Sheng, Feiyu Zhao, Chenglei Zhang, Xiyan Yin, Yao Shu

J. Ambient Intell. Humaniz. Comput., 2019

ISBNet: Instance-aware Selective Branching Network.

Shaofeng Cai, Yao Shu, Wei Wang, Beng Chin Ooi

CoRR, 2019

Efficient Memory Management for GPU-based Deep Learning Systems.

Junzhe Zhang, Sai-Ho Yeung, Yao Shu, Bingsheng He, Wei Wang

CoRR, 2019

2018

Research on Human Motion Recognition Based on Wi-Fi and Inertial Sensor Signal Fusion.

Yao Shu, Chong Chen, Kuang-I Shu, Heng Zhang

Proceedings of the 2018 IEEE SmartWorld, 2018

WiTT: Modeling and the evaluation of table tennis actions based on WIFI signals.

Chong Chen, Yao Shu, Kuang-I Shu, Heng Zhang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Understanding Deep Representations through Random Weights.

Yao Shu, Man Zhu, Kun He, John E. Hopcroft, Pan Zhou

CoRR, 2017

2005

An OO-based Design Model of Software Agent.

Jianxing Li, XinJun Mao, Yao Shu

Proceedings of the Sixth International Conference on Parallel and Distributed Computing, 2005