Wenlong Lyu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Topics

Optimization Problems

Kernel Learning

Restrictive Assumptions

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao
Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. CoRR (2023)
Wenlong Lyu, Shoubo Hu, Jie Chuai, Zhitang Chen
Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets. CoRR (2023)
Lin Liu, Mingming Zhao, Shanxin Yuan, Wenlong Lyu, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian
Exploring Effective Mask Sampling Modeling for Neural Image Compression. CoRR (2023)
Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs. CoRR (2023)
Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs. NeurIPS (2023)
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
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. 74 (2022)
Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao
Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. ICCAD (2022)
Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander Imani Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. CoRR (2021)
Alexander Imani Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. CoRR (2020)
Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng, Xiangdong Hu
An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis. CoRR (2019)
Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network. DATE (2019)
Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng, Xiangdong Hu
An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis. DAC (2019)
Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network. CoRR (2019)
Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
Multi-objective bayesian optimization for analog/RF circuit synthesis. DAC (2018)
Wenlong Lyu, Pan Xue, Fan Yang, Changhao Yan, Zhiliang Hong, Xuan Zeng, Dian Zhou
An Efficient Bayesian Optimization Approach for Automated Optimization of Analog Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. (6) (2018)
Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design. ICML (2018)
Ye Zhang, Wenlong Lyu, Wai-Shing Luk, Fan Yang, Hai Zhou, Dian Zhou, David Z. Pan, Xuan Zeng
Cut Redistribution and Insertion for Advanced 1-D Layout Design via Network Flow Optimization. IEEE Trans. Very Large Scale Integr. Syst. 26 (9) (2018)