Wenlong Lyu - RankMe

20 papers A* 4A 2Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Graph-based Clustering Revisited: A Relaxation of Kernel CoRR Wenlong Lyu, Yuheng Jia, Hui Liu, Junhui Hou
2025	J	`jnl`	Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization. CoRR Tailin Zhou, Zhilin Chen, Wenlong Lyu, Zhitang Chen, Danny H. K. Tsang, Jun Zhang
2024	J	`jnl`	Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization. CoRR Wenlong Lyu, Yuheng Jia
2023	J	`jnl`	Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets. CoRR Wenlong Lyu, Shoubo Hu, Jie Chuai, Zhitang Chen
2023	A*	`conf`	Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs. NeurIPS Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen
2023	J	`jnl`	Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs. CoRR Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen
2023	J	`jnl`	Exploring Effective Mask Sampling Modeling for Neural Image Compression. CoRR Lin Liu, Mingming Zhao, Shanxin Yuan, Wenlong Lyu, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian
2023	J	`jnl`	Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. CoRR Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao
2022	A	`conf`	Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. ICCAD Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao
2022	J	`jnl`	HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. 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
2021	J	`jnl`	High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. CoRR 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
2020	J	`jnl`	HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. CoRR Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar
2019	A*	`conf`	An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis. DAC Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng, Xiangdong Hu
2019	J	`jnl`	An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis. CoRR Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng, Xiangdong Hu
2019	A	`conf`	Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network. DATE Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
2019	J	`jnl`	Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network. CoRR Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
2018	J	`jnl`	An Efficient Bayesian Optimization Approach for Automated Optimization of Analog Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. Wenlong Lyu, Pan Xue, Fan Yang, Changhao Yan, Zhiliang Hong, Xuan Zeng, Dian Zhou
2018	A*	`conf`	Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design. ICML Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
2018	J	`jnl`	Cut Redistribution and Insertion for Advanced 1-D Layout Design via Network Flow Optimization. IEEE Trans. Very Large Scale Integr. Syst. Ye Zhang, Wenlong Lyu, Wai-Shing Luk, Fan Yang, Hai Zhou, Dian Zhou, David Z. Pan, Xuan Zeng
2018	A*	`conf`	Multi-objective bayesian optimization for analog/RF circuit synthesis. DAC Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng