Shun Lu

Orcid: 0009-0005-1108-2245

According to our database1, Shun Lu authored at least 20 papers between 2007 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search.
Neural Networks, November, 2023

Object Detection for UAV Aerial Scenarios Based on Vectorized IOU.
Sensors, March, 2023

Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networks.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MixPath: A Unified Approach for One-shot Neural Architecture Search.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PA&DA: Jointly Sampling PAth and DAta for Consistent NAS.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A domain adaptive pre-training language model for sentence classification of Chinese electronic medical record.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
STC-NAS: Fast neural architecture search with source-target consistency.
Neurocomputing, 2022

WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation.
Proceedings of the Interspeech 2022, 2022

Conformer Space Neural Architecture Search for Multi-Task Audio Separation.
Proceedings of the Interspeech 2022, 2022

Searching for BurgerFormer with Micro-Meso-Macro Space Design.
Proceedings of the International Conference on Machine Learning, 2022

AGNAS: Attention-Guided Micro and Macro-Architecture Search.
Proceedings of the International Conference on Machine Learning, 2022

2021
Detection of mobile network abnormality using deep learning models on massive network measurement data.
Comput. Networks, 2021

TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators.
Proceedings of the 9th International Conference on Learning Representations, 2021

DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

DDSAS: Dynamic and Differentiable Space-Architecture Search.
Proceedings of the Asian Conference on Machine Learning, 2021

2007
Adaptive Particle Swarm Optimization Algorithm for Power System Reactive Power Optimization.
Proceedings of the American Control Conference, 2007


  Loading...