Shun Lu

According to our database, Shun Lu authored at least 17 papers between 2021 and 2024.

Collaborative distances:

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

2024

PHD-NAS: Preserving helpful data to promote Neural Architecture Search.

Shun Lu, Yu Hu, Longxing Yang, Jilin Mei, Zihao Sun, Jianchao Tan, Chengru Song

Neurocomputing, 2024

PID: Physics-Informed Diffusion Model for Infrared Image Generation.

Fangyuan Mao, Jilin Mei, Shun Lu, Fuyang Liu, Liang Chen, Fangzhou Zhao, Yu Hu

CoRR, 2024

2023

Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search.

Longxing Yang, Yanxin Fu, Shun Lu, Zihao Sun, Jilin Mei, Wenxiao Zhao, Yu Hu

Neural Networks, November, 2023

Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS.

Zihao Sun, Yu Sun, Longxing Yang, Shun Lu, Jilin Mei, Wenxiao Zhao, Yu Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MixPath: A Unified Approach for One-shot Neural Architecture Search.

Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PA&DA: Jointly Sampling PAth and DAta for Consistent NAS.

Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor.

Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Zihao Sun, Yu Hu, Longxing Yang, Shun Lu, Jilin Mei, Yinhe Han, Xiaowei Li

Neurocomputing, 2022

WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation.

Yang Wang, Chenxing Li, Feng Deng, Shun Lu, Peng Yao, Jianchao Tan, Chengru Song, Xiaorui Wang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Conformer Space Neural Architecture Search for Multi-Task Audio Separation.

Shun Lu, Yang Wang, Peng Yao, Chenxing Li, Jianchao Tan, Feng Deng, Xiaorui Wang, Chengru Song

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Searching for BurgerFormer with Micro-Meso-Macro Space Design.

Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yinhe Han, Xiaowei Li

Proceedings of the International Conference on Machine Learning, 2022

AGNAS: Attention-Guided Micro and Macro-Architecture Search.

Zihao Sun, Yu Hu, Shun Lu, Longxing Yang, Jilin Mei, Yinhe Han, Xiaowei Li

Proceedings of the International Conference on Machine Learning, 2022

2021

TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework.

Shun Lu, Jixiang Li, Jianchao Tan, Sen Yang, Ji Liu

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.

Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan

Proceedings of the 9th International Conference on Learning Representations, 2021

DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search.

Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Yiming Zeng, Xiaowei Li

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification.

Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

DDSAS: Dynamic and Differentiable Space-Architecture Search.

Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yiming Zeng, Zhiping Shi, Yinhe Han, Xiaowei Li

Proceedings of the Asian Conference on Machine Learning, 2021