Multi-objective bayesian optimization for analog/RF circuit synthesis. - Wenlong Lyu; Fan Yang 001; Changhao Yan; Dian Zhou; Xuan Zeng 001 (DAC, 2018)

Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design. - Wenlong Lyu; Fan Yang 001; Changhao Yan; Dian Zhou; Xuan Zeng 001 (ICML, 2018)

An Efficient Bayesian Optimization Approach for Automated Optimization of Analog Circuits. - Wenlong Lyu; Pan Xue; Fan Yang 001; Changhao Yan; Zhiliang Hong; Xuan Zeng 001; Dian Zhou (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Cut Redistribution and Insertion for Advanced 1-D Layout Design via Network Flow Optimization. - Ye Zhang 011; Wenlong Lyu; Wai-Shing Luk; Fan Yang 001; Hai Zhou 001; Dian Zhou; David Z. Pan; Xuan Zeng 001 (IEEE Trans. Very Large Scale Integr. Syst., 2018)

An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis. - Shuhan Zhang; Wenlong Lyu; Fan Yang 001; Changhao Yan; Dian Zhou; Xuan Zeng 001; Xiangdong Hu (DAC, 2019)

Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network. - Shuhan Zhang; Wenlong Lyu; Fan Yang 001; Changhao Yan; Dian Zhou; Xuan Zeng 001 (DATE, 2019)

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. - Alexander I. Cowen-Rivers; Wenlong Lyu; Zhi Wang 001; Rasul Tutunov; Jianye Hao; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2020)

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 012; Jan Peters 001; Haitham Bou-Ammar (CoRR, 2021)

Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. - Chang Feng; Wenlong Lyu; Zhitang Chen; Junjie Ye; Mingxuan Yuan; Jianye Hao (ICCAD, 2022)

HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. - Alexander I. Cowen-Rivers; Wenlong Lyu; Rasul Tutunov; Zhi Wang 001; Antoine Grosnit; Ryan-Rhys Griffiths; Alexandre Max Maraval; Jianye Hao; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (J. Artif. Intell. Res., 2022)

Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs. - Lin Yang; Junlong Lyu; Wenlong Lyu; Zhitang Chen (NeurIPS, 2023)

Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. - Junlong Lyu; Zhitang Chen; Wenlong Lyu; Jianye Hao (CoRR, 2023)

Exploring Effective Mask Sampling Modeling for Neural Image Compression. - Lin Liu 016; Mingming Zhao; Shanxin Yuan; Wenlong Lyu; Wengang Zhou 001; Houqiang Li; Yanfeng Wang 001; Qi Tian 001 (CoRR, 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)

Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization. - Wenlong Lyu; Yuheng Jia (CoRR, 2024)

Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization. - Tailin Zhou; Zhilin Chen; Wenlong Lyu; Zhitang Chen; Danny H. K. Tsang; Jun Zhang 004 (CoRR, 2025)