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Wenlong Lyu

An Efficient Bayesian Optimization Approach for Automated Optimization of Analog Circuits
2017 · Wenlong Lyu, Pan Xue, et al. · IEEE Transactions on Circuits and Systems I Regular Papers · 309
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design
2018 · Wenlong Lyu, Fan Yang, et al. · International Conference on Machine Learning · 114
Multi-objective Bayesian Optimization for Analog/RF Circuit Synthesis
2018 · Wenlong Lyu, Fan Yang, et al. · ACM/IEEE Design Automation Conference (DAC) · 92
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation
2022 · Alexander I. Cowen-Rivers, Wenlong Lyu, et al. · Journal of Artificial Intelligence Research · 87
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An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis
2019 · Shuhan Zhang, Wenlong Lyu, et al. · ACM/IEEE Design Automation Conference (DAC) · 57
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High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
2021 · Grosnit, Antoine, Tutunov, Rasul, et al. · arXiv (Cornell University) · 39
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An Empirical Study of Assumptions in Bayesian Optimisation
2020 · Alexander I. Cowen-Rivers, Wenlong Lyu, et al. · arXiv (Cornell University) · 22
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation.
2020 · Alexander I. Cowen-Rivers, Wenlong Lyu, et al. · arXiv (Cornell University) · 19
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
2020 · Cowen-Rivers, Alexander I., Lyu, Wenlong, et al. · arXiv (Cornell University) · 19
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Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis
2022 · Chang Feng, Wenlong Lyu, et al. · International Conference on Computer Aided Design · 18
Exploring Effective Mask Sampling Modeling for Neural Image Compression
2023 · Liu, Lin, Zhao, Mingming, et al. · arXiv (Cornell University) · 3
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Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets
2023 · Lyu, Wenlong, Hu, Shoubo, et al. · arXiv (Cornell University) · 1
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Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs
2023 · Lin Yang, Junlong Lyu, et al. · neural information processing systems · 1
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Cut Redistribution and Insertion for Advanced 1-D Layout Design via Network Flow Optimization
2018 · Ye Zhang, Wenlong Lyu, et al. · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 1
Two-Point Local Optimality in $k$-Means via Boundary-Point Screening
2026 · Lyu, Wenlong, Xiao, Xujie, et al. · arXiv (Cornell University)
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Learning design-score manifold to guide diffusion models for offline optimization
2026 · Tailin Zhou, Zhilin Chen, et al. · npj Artificial Intelligence
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Graph-based Clustering Revisited:A Relaxation of Kernel k-Means Perspective
2026 · Lyu, Wenlong, Jia, Yuheng, et al. · CityU Scholars
Graph-based Clustering Revisited: A Relaxation of Kernel $k$-Means Perspective
2025 · Lyu, Wenlong, Jia, Yuheng, et al. · arXiv (Cornell University)
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Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization
2024 · Lyu, Wenlong, Jia, Yuheng · arXiv (Cornell University)
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Works count: 20
Citation count: 782
H-index: 10
I10-index: 10
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