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ORCIDWenlong Lyu
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2020 – today
- 2023
[c6]Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen:
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs. NeurIPS 2023- [i8]Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao:
Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. CoRR abs/2301.12640 (2023) - [i7]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 abs/2306.05704 (2023) - [i6]Wenlong Lyu, Shoubo Hu, Jie Chuai, Zhitang Chen:
Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets. CoRR abs/2308.04660 (2023) - [i5]Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen:
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs. CoRR abs/2310.20145 (2023) - 2022
- [j3]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: 1269-1349 (2022) - [c5]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: 56:1-56:9 - 2021
- [i4]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:
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. CoRR abs/2106.03609 (2021) - 2020
- [i3]Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar:
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. CoRR abs/2012.03826 (2020)
2010 – 2019
- 2019
- [c4]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: 64 - [c3]Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng:
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network. DATE 2019: 1463-1468 - [i2]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 abs/1912.00392 (2019) - [i1]Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng:
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network. CoRR abs/1912.00402 (2019) - 2018
- [j2]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. 65-I(6): 1954-1967 (2018) - [j1]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): 1613-1626 (2018) - [c2]Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng:
Multi-objective bayesian optimization for analog/RF circuit synthesis. DAC 2018: 11:1-11:6 - [c1]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: 3312-3320
Coauthor Index
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