Yao Shu

According to our database1, Yao Shu authored at least 27 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations.
CoRR, 2024

2023
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers.
CoRR, 2023

Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients.
CoRR, 2023

Exploiting Correlated Auxiliary Feedback in Parameterized Bandits.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantum Bayesian Optimization.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Federated Neural Bandits.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Federated Neural Bandit.
CoRR, 2022

Neural ensemble search via Bayesian sampling.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

NASI: Label- and Data-agnostic Neural Architecture Search at Initialization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search.
CoRR, 2021

Dynamic Routing Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Multimodal information fusion based human movement recognition.
Multim. Tools Appl., 2020

Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization.
CoRR, 2020

Understanding Architectures Learnt by Cell-based Neural Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Wireless non-invasive motion tracking of functional behavior.
Pervasive Mob. Comput., 2019

Research and development of off-line services for the 3D automatic printing machine based on cloud manufacturing.
J. Ambient Intell. Humaniz. Comput., 2019

Parameterized representation and solution method of the lightweight 3D model virtual assembly constraint.
J. Ambient Intell. Humaniz. Comput., 2019

ISBNet: Instance-aware Selective Branching Network.
CoRR, 2019

Efficient Memory Management for GPU-based Deep Learning Systems.
CoRR, 2019

2018
Research on Human Motion Recognition Based on Wi-Fi and Inertial Sensor Signal Fusion.
Proceedings of the 2018 IEEE SmartWorld, 2018

WiTT: Modeling and the evaluation of table tennis actions based on WIFI signals.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Understanding Deep Representations through Random Weights.
CoRR, 2017

2005
An OO-based Design Model of Software Agent.
Proceedings of the Sixth International Conference on Parallel and Distributed Computing, 2005


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