Wei W. Xing - RankMe

77 papers A* 18A 13B 3C 1Journal 35Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ASAP: Accelerating Corner-Based Timing Analysis With Bayesian Active Self-Attention Neural Process. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Longze Wang, Wei W. Xing, Zhelong Wang, Christos P. Sotiriou, Nikolaos Sketopoulos, Ning Xu, Yuanqing Cheng
2026	J	`jnl`	Breaking the Tuning Barrier: Zero-Hyperparameters Yield Multi-Corner Analysis Via Learned Priors. CoRR Wei W. Xing, Kaiqi Huang, Jiazhan Liu, Hong Qiu, Shan Shen
2026	A*	`conf`	Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference. AAAI Yangbo Wei, Zhen Huang, Shaoqiang Lu, Junhong Qian, Dongge Qin, Ting-Jung Lin, Wei W. Xing, Chen Wu, Lei He
2026	J	`jnl`	Piecewise Nonlinear Force-Current Model of Long-Stroke Double-Sided Linear Switched Reluctance Motors Using WOA-BPNN Algorithm. IEEE Trans. Ind. Electron. Su-Dan Huang, Guang-Long Xu, Guang-Zhong Cao, Hong-Jin Hu, Junqi Xu, Wei W. Xing
2026	—	`conf`	VFlow: Discovering Optimal Agentic Workflows for Verilog Generation. ASP-DAC Yangbo Wei, Zhen Huang, Lei He, Li Huang, Ting-Jung Lin, Wei W. Xing
2025	A	`conf`	ASTRA: Automatic Sizing of Transistors with Reasoning Agents. ICCAD Wei W. Xing, Baowen Ou, Yuxuan Zhang, Zhuohua Liu, Yuanqi Hu
2025	A*	`conf`	Accuracy Is Not Always We Need: Precision-Aware Bayesian Yield Optimization. DAC Jing Kou, Zidong Chen, Liang Zhang, Haiyan Qin, Wang Kang, Wei W. Xing
2025	J	`jnl`	Carbon Nanotube Interconnect Optimizations With Bayesian Neural Network and Bayesian Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhelong Wang, Wei W. Xing, Ning Xu, Yuanqing Cheng
2025	J	`jnl`	Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning. CoRR Tao Bai, Junzhuo Zhou, Zeyuan Deng, Ting-Jung Lin, Wei W. Xing, Peng Cao, Lei He
2025	A	`conf`	DIVE: Dynamic Information-Guided Variable Expansion for Deeper Analog Circuit Optimization. ICCAD Zhuohua Liu, Weilun Xie, Yuxuan Zhang, Chen Wang, Yuanqi Hu, Wei W. Xing
2025	J	`jnl`	Exploiting Function-Family Structure in Analog Circuit Optimization. CoRR Zhuohua Liu, Kaiqi Huang, Qinxin Mei, Yuanqi Hu, Wei W. Xing
2025	A	`conf`	FUSIS: Fusing Surrogate Models and Importance Sampling for Efficient Yield Estimation. DATE Yanfang Liu, Wei W. Xing
2025	—	`conf`	LVFGen: Efficient Liberty Variation Format (LVF) Generation Using Variational Analysis and Active Learning. ISPD Junzhuo Zhou, Haoxuan Xia, Wei W. Xing, Ting-Jung Lin, Li Huang, Lei He
2025	A	`conf`	LaRED: Efficient IR Drop Predictor with Layout-Preserving Rebuilder-Encoder-Decoder Architecture. DATE Chengxuan Yu, Yanshuang Teng, Wenhao Dai, Yongjiang Li, Wei W. Xing, Xiao Wu, Dan Niu, Zhou Jin
2025	—	`conf`	MECoT: Markov Emotional Chain-of-Thought for Personality-Consistent Role-Playing. ACL (Findings) Yangbo Wei, Zhen Huang, Fangzhou Zhao, Qi Feng, Wei W. Xing
2025	J	`jnl`	ML-PTA: A Two-Stage ML-Enhanced Framework for Accelerating Nonlinear DC Circuit Simulation With Pseudo-Transient Analysis. IEEE Trans. Computers Zhou Jin, Wenhao Li, Haojie Pei, Xiaru Zha, Yichao Dong, Xiang Jin, Xiao Wu, Dan Niu, Wei W. Xing
2025	J	`jnl`	ModelGen: Automating Semiconductor Parameter Extraction with Large Language Model Agents. ACM Trans. Design Autom. Electr. Syst. Yangbo Wei, Li Huang, Qi Feng, Zhanfei Chen, Jinlong Yan, Ting-Jung Lin, Zhen Huang, Kun Ren, Wei W. Xing, Lei He
2025	A*	`conf`	Multi-Agent Yield Analysis For Circuit Design. DAC Haiyan Qin, Jing Kou, Liang Zhang, Wang Kang, Wei W. Xing
2025	A*	`conf`	NeuralMesh: Neural Network For FEM Mesh Generation in 2.5D/3D Chiplet Thermal Simulation. DAC Pengju Chen, Dan Niu, Dekang Zhang, Wenhao Wang, Depeng Xie, Zhou Jin, Wei W. Xing, Lei He
2025	C	`conf`	OpenYield: An Open-Source SRAM Yield Analysis and Optimization Benchmark Suite. ICCD Shan Shen, Xingyang Li, Zhuohua Liu, JunHao Ma, Yikai Wang, Yiheng Wu, Yuquan Sun, Wei W. Xing
2025	J	`jnl`	OpenYield: An Open-Source SRAM Yield Analysis and Optimization Benchmark Suite. CoRR Shan Shen, Xingyang Li, Zhuohua Liu, Yikai Wang, Yiheng Wu, JunHao Ma, Yuquan Sun, Wei W. Xing
2025	J	`jnl`	Pseudo-Physics-Informed Neural Operators: Enhancing Operator Learning from Limited Data. Trans. Mach. Learn. Res. Keyan Chen, Yile Li, Da Long, Zhitong Xu, Wei W. Xing, Jacob D. Hochhalter, Shandian Zhe
2025	A*	`conf`	Self-Attention to Operator Learning-based 3D-IC Thermal Simulation. DAC Zhen Huang, Hong Wang, Wenkai Yang, Muxi Tang, Depeng Xie, Ting-Jung Lin, Yu Zhang, Wei W. Xing, Lei He
2025	J	`jnl`	Self-Attention to Operator Learning-based 3D-IC Thermal Simulation. CoRR Zhen Huang, Hong Wang, Wenkai Yang, Muxi Tang, Depeng Xie, Ting-Jung Lin, Yu Zhang, Wei W. Xing, Lei He
2025	A	`conf`	SetupKit: Efficient Multi-Corner Setup/Hold Time Characterization Using Bias-Enhanced Interpolation and Active Learning. ICCAD Junzhuo Zhou, Ziwen Wang, Haoxuan Xia, Yuxin Yan, Chengyu Zhu, Ting-Jung Lin, Wei W. Xing, Lei He
2025	J	`jnl`	SetupKit: Efficient Multi-Corner Setup/Hold Time Characterization Using Bias-Enhanced Interpolation and Active Learning. CoRR Junzhuo Zhou, Ziwen Wang, Haoxuan Xia, Yuxin Yan, Chengyu Zhu, Ting-Jung Lin, Wei W. Xing, Lei He
2025	J	`jnl`	Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence. CoRR Haiyan Qin, Jiahao Feng, Xiaotong Feng, Wei W. Xing, Wang Kang
2025	J	`jnl`	VFlow: Discovering Optimal Agentic Workflows for Verilog Generation. CoRR Yangbo Wei, Zhen Huang, Huang Li, Wei W. Xing, Ting-Jung Lin, Lei He
2024	J	`jnl`	An End-to-End In-Memory Computing System Based on a 40-nm eFlash-Based IMC SoC: Circuits, Toolchains, and Systems Co-Design Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tianshuo Bai, Wanru Mao, Guangyao Wang, Hanjie Liu, Aifei Zhang, Shihang Fu, Shuaikai Liu, Jianchao Hu, Xitong Yang, Biao Pan, Wei W. Xing, Wang Kang
2024	A	`conf`	Beyond the Yield Barrier: Variational Importance Sampling Yield Analysis. ICCAD Yanfang Liu, Lei He, Wei W. Xing
2024	J	`jnl`	Beyond the Yield Barrier: Variational Importance Sampling Yield Analysis. CoRR Yanfang Liu, Lei He, Wei W. Xing
2024	B	`conf`	BoCNT: A Bayesian Optimization Framework for Global CNT Interconnect Optimization. ASPDAC Hang Wu, Ning Xu, Wei W. Xing, Yuanqing Cheng
2024	B	`conf`	CIS: Conditional Importance Sampling for Yield Optimization of Analog and SRAM Circuits. ASPDAC Yanfang Liu, Wei W. Xing
2024	A	`conf`	Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels. AISTATS Da Long, Wei W. Xing, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney
2024	A*	`conf`	Every Failure Is A Lesson: Utilizing All Failure Samples To Deliver Tuning-Free Efficient Yield Evaluation. DAC Wei W. Xing, Yanfang Liu, Weijian Fan, Lei He
2024	A*	`conf`	KATO: Knowledge Alignment And Transfer for Transistor Sizing Of Different Design and Technology. DAC Wei W. Xing, Weijian Fan, Zhuohua Liu, Yuan Yao, Yuanqi Hu
2024	J	`jnl`	KATO: Knowledge Alignment and Transfer for Transistor Sizing of Different Design and Technology. CoRR Wei W. Xing, Weijian Fan, Zhuohua Liu, Yuan Yao, Yuanqi Hu
2024	A*	`conf`	LVF2: A Statistical Timing Model based on Gaussian Mixture for Yield Estimation and Speed Binning. DAC Junzhuo Zhou, Li Huang, Haoxuan Xia, Yihui Cai, Leilei Jin, Xiao Shi, Wei W. Xing, Ting-Jung Lin, Lei He
2024	A*	`conf`	MAUnet: Multiscale Attention U-Net for Effective IR Drop Prediction. DAC Mingyue Wang, Yuanqing Cheng, Yage Lin, Kelin Peng, Shunchuan Yang, Zhou Jin, Wei W. Xing
2024	A	`conf`	Multi-Resolution Active Learning of Fourier Neural Operators. AISTATS Shibo Li, Xin Yu, Wei W. Xing, Robert M. Kirby, Akil Narayan, Shandian Zhe
2024	J	`jnl`	Multicorner Timing Analysis Acceleration for Iterative Physical Design of ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Wei W. Xing, Longze Wang, Zhelong Wang, Zhaoyu Shi, Ning Xu, Yuanqing Cheng, Weisheng Zhao
2024	A	`conf`	Pseudo Adjoint Optimization: Harnessing the Solution Curve for SPICE Acceleration. ICCAD Jiatai Sun, Xiaru Zha, Chao Wang, Xiao Wu, Dan Niu, Wei W. Xing, Zhou Jin
2024	A*	`conf`	Unleashing the Potential of AQFP Logic Placement via Entanglement Entropy and Projection. DAC Yinuo Bai, Enxin Yi, Wei W. Xing, Bei Yu, Zhou Jin
2023	J	`jnl`	BoA-PTA: A Bayesian Optimization Accelerated PTA Solver for SPICE Simulation. ACM Trans. Design Autom. Electr. Syst. Wei W. Xing, Xiang Jin, Tian Feng, Dan Niu, Weisheng Zhao, Zhou Jin
2023	J	`jnl`	Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning. CoRR Yuwen Deng, Wang Kang, Wei W. Xing
2023	J	`jnl`	Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels. CoRR Da Long, Wei W. Xing, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney
2023	J	`jnl`	GAR: Generalized Autoregression for Multi-Fidelity Fusion. CoRR Yuxin Wang, Zheng Xing, Wei W. Xing
2023	—	`conf`	High-Dimensional Yield Estimation Using Shrinkage Deep Features and Maximization of Integral Entropy Reduction. ASP-DAC Shuo Yin, Guohao Dai, Wei W. Xing
2023	J	`jnl`	Multi-Resolution Active Learning of Fourier Neural Operators. CoRR Shibo Li, Xin Yu, Wei W. Xing, Mike Kirby, Akil Narayan, Shandian Zhe
2023	—	`book`	New Paradigms in Flow Battery Modelling Akeel A. Shah, Puiki Leung, Qian Xu, Pang-Chieh Sui, Wei W. Xing
2023	A	`conf`	OPT: Optimal Proposal Transfer for Efficient Yield Optimization for Analog and SRAM Circuits. ICCAD Yanfang Liu, Guohao Dai, Yuanqing Cheng, Wang Kang, Wei W. Xing
2023	A*	`conf`	Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold. DAC Yanfang Liu, Guohao Dai, Wei W. Xing
2023	J	`jnl`	Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold. CoRR Yanfang Liu, Guohao Dai, Wei W. Xing
2023	A*	`conf`	TOTAL: Multi-Corners Timing Optimization Based on Transfer and Active Learning. DAC Wei W. Xing, Zheng Xing, Rongqi Lu, Zhelong Wang, Ning Xu, Yuanqing Cheng, Weisheng Zhao
2022	A*	`conf`	Accelerating nonlinear DC circuit simulation with reinforcement learning. DAC Zhou Jin, Haojie Pei, Yichao Dong, Xiang Jin, Xiao Wu, Wei W. Xing, Dan Niu
2022	B	`conf`	E-LMC: Extended Linear Model of Coregionalization for Spatial Field Prediction. IJCNN Shihong Wang, Xueying Zhang, Yichen Meng, Wei W. Xing
2022	A*	`conf`	Efficient bayesian yield analysis and optimization with active learning. DAC Shuo Yin, Xiang Jin, Linxu Shi, Kang Wang, Wei W. Xing
2022	A*	`conf`	GAR: Generalized Autoregression for Multi-Fidelity Fusion. NeurIPS Yuxin Wang, Zheng Xing, Wei W. Xing
2022	J	`jnl`	High-Dimensional Yield Estimation using Shrinkage Deep Features and Maximization of Integral Entropy Reduction. CoRR Shuo Yin, Guohao Dai, Wei W. Xing
2022	J	`jnl`	Mission Replanning for Multiple Agile Earth Observation Satellites Based on Cloud Coverage Forecasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yi Gu, Chao Han, Yuhan Chen, Wei W. Xing
2022	A	`conf`	Physics Informed Deep Kernel Learning. AISTATS Zheng Wang, Wei W. Xing, Robert M. Kirby, Shandian Zhe
2021	J	`jnl`	BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver. CoRR Wei W. Xing, Xiang Jin, Yi Liu, Dan Niu, Weishen Zhao, Zhou Jin
2021	J	`jnl`	Deep coregionalization for the emulation of simulation-based spatial-temporal fields. J. Comput. Phys. Wei W. Xing, Robert M. Kirby, Shandian Zhe
2021	A	`conf`	Multi-Fidelity High-Order Gaussian Processes for Physical Simulation. AISTATS Zheng Wang, Wei W. Xing, Robert Michael Kirby, Shandian Zhe
2021	J	`jnl`	Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations. CoRR Wei W. Xing, Akeel A. Shah, Peng Wang, Shandian Zhe, Qian Fu, Robert M. Kirby
2020	A*	`conf`	Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations. AAAI Wei W. Xing, Shireen Y. Elhabian, Robert Michael Kirby, Ross T. Whitaker, Shandian Zhe
2020	A*	`conf`	Multi-Fidelity Bayesian Optimization via Deep Neural Networks. NeurIPS Shibo Li, Wei W. Xing, Robert M. Kirby, Shandian Zhe
2020	J	`jnl`	Multi-Fidelity Bayesian Optimization via Deep Neural Networks. CoRR Shibo Li, Wei W. Xing, Mike Kirby, Shandian Zhe
2020	J	`jnl`	Multi-Fidelity High-Order Gaussian Processes for Physical Simulation. CoRR Zheng Wang, Wei W. Xing, Robert Michael Kirby, Shandian Zhe
2020	J	`jnl`	Physics Regularized Gaussian Processes. CoRR Zheng Wang, Wei W. Xing, Robert Michael Kirby, Shandian Zhe
2020	A*	`conf`	Scalable Gaussian Process Regression Networks. IJCAI Shibo Li, Wei W. Xing, Robert M. Kirby, Shandian Zhe
2020	J	`jnl`	Scalable Variational Gaussian Process Regression Networks. CoRR Shibo Li, Wei W. Xing, Mike Kirby, Shandian Zhe
2019	—	`conf`	Data-Driven Model Order Reduction for Diffeomorphic Image Registration. IPMI Jian Wang, Wei W. Xing, Robert M. Kirby, Miaomiao Zhang
2019	J	`jnl`	Deep Coregionalization for the Emulation of Spatial-Temporal Fields. CoRR Wei W. Xing, Robert M. Kirby, Shandian Zhe
2019	A	`conf`	Scalable High-Order Gaussian Process Regression. AISTATS Shandian Zhe, Wei W. Xing, Robert M. Kirby
2017	—	`conf`	Prediction of impurities in hydrogen fuel supplies using a thermally-modulated CMOS gas sensor: Experiments and modelling. IEEE SENSORS Wei W. Xing, Akeel A. Shah, Barbara Urasinska-Wojcik, Julian W. Gardner
2016	J	`jnl`	Manifold learning for the emulation of spatial fields from computational models. J. Comput. Phys. Wei W. Xing, Vasileios Triantafyllidis, Akeel A. Shah, Prasanth B. Nair, Nicholas Zabaras