Wenlong Lyu

According to our database, Wenlong Lyu authored at least 14 papers between 2018 and 2023.

Collaborative distances:

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

2023

Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets.

Wenlong Lyu, Shoubo Hu, Jie Chuai, Zhitang Chen

CoRR, 2023

Exploring Effective Mask Sampling Modeling for Neural Image Compression.

Lin Liu, Mingming Zhao, Shanxin Yuan, Wenlong Lyu, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian

CoRR, 2023

Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization.

Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao

CoRR, 2023

Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs.

Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen

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

2022

HEBO: An Empirical Study of Assumptions in Bayesian Optimisation.

Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar

J. Artif. Intell. Res., 2022

Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis.

Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning.

Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar

CoRR, 2021

2020

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation.

Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar

CoRR, 2020

2019

Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network.

Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis.

Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng, Xiangdong Hu

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

Cut Redistribution and Insertion for Advanced 1-D Layout Design via Network Flow Optimization.

Ye Zhang, Wenlong Lyu, Wai-Shing Luk, Fan Yang, Hai Zhou, Dian Zhou, David Z. Pan, Xuan Zeng

IEEE Trans. Very Large Scale Integr. Syst., 2018

An Efficient Bayesian Optimization Approach for Automated Optimization of Analog Circuits.

Wenlong Lyu, Pan Xue, Fan Yang, Changhao Yan, Zhiliang Hong, Xuan Zeng, Dian Zhou

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design.

Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng

Proceedings of the 35th International Conference on Machine Learning, 2018

Multi-objective bayesian optimization for analog/RF circuit synthesis.

Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng

Proceedings of the 55th Annual Design Automation Conference, 2018