Yao Shu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 37

Top Topics

Lower Complexity

Neural Architecture

Top Venues

J. Ambient Intell. Humaniz. Comput.

Publications

Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. CoRR (2024)
Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low
Robustifying and Boosting Training-Free Neural Architecture Search. CoRR (2024)
Yao Shu, Jiongfeng Fang, Ying Tiffany He, Fei Richard Yu
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations. CoRR (2024)
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
Data-Centric AI in the Age of Large Language Models. CoRR (2024)
Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiangqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low
Localized Zeroth-Order Prompt Optimization. CoRR (2024)
Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low
Robustifying and Boosting Training-Free Neural Architecture Search. ICLR (2024)
Hongchang Zhang, Kang Yang, Heng Liu, Jiali Hu, Yao Shu, Juan Zeng
Small-Scale Pedestrian Detection Using Fusion Network and Probabilistic Loss. IEEE Access 12 (2024)
Yao Shu, Xiaoqiang Lin, Zhongxiang Dai, Bryan Kian Hsiang Low
Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients. CoRR (2023)
Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low
Exploiting Correlated Auxiliary Feedback in Parameterized Bandits. CoRR (2023)
Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low
Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation. ICLR (2023)
Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low
Exploiting Correlated Auxiliary Feedback in Parameterized Bandits. NeurIPS (2023)
Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers. CoRR (2023)
Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
Quantum Bayesian Optimization. CoRR (2023)
Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
Quantum Bayesian Optimization. NeurIPS (2023)
Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
Federated Neural Bandits. ICLR (2023)
Yao Shu, Zhongxiang Dai, Zhaoxuan Wu, Bryan Kian Hsiang Low
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search. CoRR (2022)
Yao Shu, Zhongxiang Dai, Zhaoxuan Wu, Bryan Kian Hsiang Low
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search. NeurIPS (2022)
Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low
Neural ensemble search via Bayesian sampling. UAI (2022)
Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
Federated Neural Bandit. CoRR (2022)
Zhaoxuan Wu, Yao Shu, Bryan Kian Hsiang Low
DAVINZ: Data Valuation using Deep Neural Networks at Initialization. ICML (2022)
Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
Sample-Then-Optimize Batch Neural Thompson Sampling. CoRR (2022)
Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
Sample-Then-Optimize Batch Neural Thompson Sampling. NeurIPS (2022)
Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. ICLR (2022)
Shaofeng Cai, Yao Shu, Wei Wang
Dynamic Routing Networks. WACV (2021)
Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. CoRR (2021)
Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low
Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search. CoRR (2021)
Yao Shu, Heng Zhang
Multimodal information fusion based human movement recognition. Multim. Tools Appl. 79 (7-8) (2020)
Min Zhang, Yao Shu, Kun He
Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization. CoRR (2020)
Yao Shu, Wei Wang, Shaofeng Cai
Understanding Architectures Learnt by Cell-based Neural Architecture Search. ICLR (2020)
Junzhe Zhang, Sai-Ho Yeung, Yao Shu, Bingsheng He, Wei Wang
Efficient Memory Management for GPU-based Deep Learning Systems. CoRR (2019)
Buyun Sheng, Feiyu Zhao, Chenglei Zhang, Xiyan Yin, Yao Shu
Parameterized representation and solution method of the lightweight 3D model virtual assembly constraint. J. Ambient Intell. Humaniz. Comput. 10 (3) (2019)
Heng Zhang, Jan D. Smeddinck, Rainer Malaka, Yao Shu, Chong Chen, Bo He, Zengjun Fu, Michael Lawo
Wireless non-invasive motion tracking of functional behavior. Pervasive Mob. Comput. 54 (2019)
Chenglei Zhang, Buyun Sheng, Xiyan Yin, Feiyu Zhao, Yao Shu
Research and development of off-line services for the 3D automatic printing machine based on cloud manufacturing. J. Ambient Intell. Humaniz. Comput. 10 (3) (2019)
Shaofeng Cai, Yao Shu, Wei Wang, Beng Chin Ooi
ISBNet: Instance-aware Selective Branching Network. CoRR (2019)
Chong Chen, Yao Shu, Kuang-I Shu, Heng Zhang
WiTT: Modeling and the evaluation of table tennis actions based on WIFI signals. ICPR (2018)
Yao Shu, Chong Chen, Kuang-I Shu, Heng Zhang
Research on Human Motion Recognition Based on Wi-Fi and Inertial Sensor Signal Fusion. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Yao Shu, Man Zhu, Kun He, John E. Hopcroft, Pan Zhou
Understanding Deep Representations through Random Weights. CoRR (2017)
Jianxing Li, XinJun Mao, Yao Shu
An OO-based Design Model of Software Agent. PDCAT (2005)