Zhou Jin - RankMe

63 papers A* 13A 18B 4C 1Journal 14Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	IR Drop-Aware ECO: A Fast Approach to Minimize Layout and Timing Disturbance. ASP-DAC Jingchao Hu, Yibo Lin, Hao Yu, Quan Chen, Zhou Jin, Cheng Zhuo
2026	J	`jnl`	Machine Learning-Assisted VCD Processing for Accelerated Dynamic Voltage Drop Analysis. ACM Trans. Design Autom. Electr. Syst. Jingchao Hu, Yufei Chen, Songyu Sun, Jianfei Song, Li Zhang, Xunzhao Yin, Zhou Jin, Cheng Zhuo
2026	B	`conf`	Trojan Horse: Aggregate-and-Batch for Scaling Up Sparse Direct Solvers on GPU Clusters. PPoPP Yida Li, Siwei Zhang, Yiduo Niu, Yang Du, Qingxiao Sun, Zhou Jin, Weifeng Liu
2026	—	`conf`	Understanding and Predicting Vmin Failures in Power Delivery Networks through Multi-Order Droop Signatures. ASP-DAC Songyu Sun, Jingchao Hu, Zhou Jin, Cheng Zhuo
2025	A*	`conf`	A Cutting-Edge Parallel Solver for Scalable Power Grid Analysis Using Nested Domain Decomposition. DAC Jianfei Song, Xiaoyu Yang, Zhou Jin, Cheng Zhuo
2025	A	`conf`	A Geometry-Material Aware Point Cloud Transformer for Large-scale Unstructured Thermal Analysis in 2.5D ICs. ICCAD Dekang Zhang, Dan Niu, Yichao Cao, Yichao Dong, Zhenya Zhou, Zhou Jin
2025	A	`conf`	A Novel Frequency-Spatial Domain Aware Network for Fast Thermal Prediction in 2.5D ICs. DATE Dekang Zhang, Dan Niu, Zhou Jin, Yichao Dong, Jingweijia Tan, Changyin Sun
2025	J	`jnl`	A Novel Frequency-Spatial Domain Aware Network for Fast Thermal Prediction in 2.5D ICs. CoRR Dekang Zhang, Dan Niu, Zhou Jin, Yichao Dong, Jingweijia Tan, Changyin Sun
2025	A*	`conf`	A Novel Image-Graph Heterogeneous Fusion Framework for Static IR Drop Prediction. DAC Dan Niu, Dekang Zhang, Yichao Cao, Zhou Jin, Chao Wang, Yichao Dong, Changyin Sun
2025	A	`conf`	Accelerating Electro-Thermal Co-Analysis via Coarse-to-Fine Physics-Informed Neural Networks. ICCAD Xiao Dong, Songyu Sun, Xunzhao Yin, Zhou Jin, Zhiguo Shi, Cheng Zhuo
2025	—	`conf`	Boosting the Performance of Transistor-Level Circuit Simulation with GNN. ASP-DAC Jiqing Jiang, Yongqiang Duan, Zhou Jin
2025	A*	`conf`	G-SpNN: GPU-Accelerated Passivity Enforcement for S-Parameter Modeling with Neural Networks. DAC Lijie Zeng, Jiatai Sun, Xiao Wu, Dan Niu, Tianshi Wang, Yibo Lin, Zuochang Ye, Zhou Jin
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	J	`jnl`	LiTformer: Efficient Signal Integrity Analysis for High-Speed Link Transmitters Using Non-Autoregressive Transformer. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Songyu Sun, Xiao Dong, Yanliang Sha, Qi Sun, Quan Chen, Zhou Jin, Cheng Zhuo
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	A*	`conf`	MemSens: Significantly Reducing Memory Overhead in Adjoint Sensitivity Analysis Using Novel Error-Bounded Lossy Compression. DAC Chenxi Li, Yihang Feng, Fuxing Deng, Dingwen Tao, Weifeng Liu, Zhou Jin
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`	ReRAM-Based Process-In-Memory Accelerator for Iterative Solvers: A Systematic Survey. ISCAS Boyu Geng, Mingjia Fan, Zhou Jin, Weifeng Liu
2024	—	`conf`	A Parallel Simulation Framework Incorporating Machine Learning-Based Hotspot Detection for Accelerated Power Grid Analysis. MLCAD Yangfan Jiang, Jianfei Song, Xunzhao Yin, Xiao Dong, Songyu Sun, Yibo Lin, Zhou Jin, Xiaoyu Yang, Cheng Zhuo
2024	—	`conf`	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation. Euro-Par (3) Guofeng Feng, Hongyu Wang, Zhuoqiang Guo, Mingzhen Li, Tong Zhao, Zhou Jin, Weile Jia, Guangming Tan, Ninghui Sun
2024	A	`conf`	AmgT: Algebraic Multigrid Solver on Tensor Cores. SC Yuechen Lu, Lijie Zeng, Tengcheng Wang, Xu Fu, Wenxuan Li, Helin Cheng, Dechuang Yang, Zhou Jin, Marc Casas, Weifeng Liu
2024	A	`conf`	CSP: Comprehensively-Sparsified Preconditioner for Efficient Nonlinear Circuit Simulation. ICCAD Yuxuan Zhao, Xiaoyu Yang, Yinuo Bai, Lijie Zeng, Dan Niu, Weifeng Liu, Zhou Jin
2024	A	`conf`	Cuper: Customized Dataflow and Perceptual Decoding for Sparse Matrix-Vector Multiplication on HBM-Equipped FPGAs. DATE Enxin Yi, Yiru Duan, Yinuo Bai, Kang Zhao, Zhou Jin, Weifeng Liu
2024	A	`conf`	Efficient Spectral-Aware Power Supply Noise Analysis for Low-Power Design Verification. DATE Yinuo Bai, Xiaoyu Yang, Yicheng Lu, Dan Niu, Cheng Zhuo, Zhou Jin, Weifeng Liu
2024	A	`conf`	Heterogeneous Static Timing Analysis with Advanced Delay Calculator. DATE Zizheng Guo, Tsung-Wei Huang, Zhou Jin, Cheng Zhuo, Yibo Lin, Runsheng Wang, Ru Huang
2024	A	`conf`	ISLU: Indexing-Efficient Sparse LU Factorization for Circuit Simulation on GPUs. ICCAD Dan Niu, Yiyang Tao, Zhou Jin, Yichao Dong, Chao Wang, Changyin Sun
2024	A	`conf`	ISPT-Net: A Noval Transient Backward-Stepping Reduction Policy by Irregular Sequential Prediction Transformer. DATE Yichao Dong, Dan Niu, Zhou Jin, Chuan Zhang, Changyin Sun, Zhenya Zhou
2024	A	`conf`	Leda: Leveraging Tiling Dataflow to Accelerate SpMM on HBM-Equipped FPGAs for GNNs. ICCAD Enxin Yi, Jiarui Bai, Yijie Nie, Dan Niu, Zhou Jin, Weifeng Liu
2024	A*	`conf`	MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction. DAC Chenxi Li, Boyuan Zhang, Yongqiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin
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`	MSH: A Multi-Stage HiZ-Aware Homotopy Framework for Nonlinear DC Analysis. DATE Zhou Jin, Tian Feng, Xiao Wu, Dan Niu, Zhenya Zhou, Cheng Zhuo
2024	B	`conf`	Machine Learning and GPU Accelerated Sparse Linear Solvers for Transistor-Level Circuit Simulation: A Perspective Survey (Invited Paper). ASPDAC Zhou Jin, Wenhao Li, Yinuo Bai, Tengcheng Wang, Yicheng Lu, Weifeng Liu
2024	A	`conf`	Mille-feuille: A Tile-Grained Mixed Precision Single-Kernel Conjugate Gradient Solver on GPUs. SC Dechuang Yang, Yuxuan Zhao, Yiduo Niu, Weile Jia, En Shao, Weifeng Liu, Guangming Tan, Zhou Jin
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`	ReCG: ReRAM-Accelerated Sparse Conjugate Gradient. DAC Mingjia Fan, Xiaoming Chen, Dechuang Yang, Zhou Jin, Weifeng Liu
2024	A	`conf`	TSA-TICER: A Two-Stage TICER Acceleration Framework for Model Order Reduction. DATE Pengju Chen, Dan Niu, Zhou Jin, Changyin Sun, Qi Li, Hao Yan
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	A*	`conf`	Accelerating Sparse LU Factorization with Density-Aware Adaptive Matrix Multiplication for Circuit Simulation. DAC Tengcheng Wang, Wenhao Li, Haojie Pei, Yuying Sun, Zhou Jin, Weifeng Liu
2023	J	`jnl`	Adaptive Stepping PTA for DC Analysis Based on Reinforcement Learning. IEEE Trans. Circuits Syst. II Express Briefs Yichao Dong, Dan Niu, Zhou Jin, Chuan Zhang, Qi Li, Changyin Sun
2023	A*	`conf`	AmgR: Algebraic Multigrid Accelerated on ReRAM. DAC Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin, Weifeng Liu
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`	OSSP-PTA: An Online Stochastic Stepping Policy for PTA on Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Dan Niu, Yichao Dong, Zhou Jin, Chuan Zhang, Qi Li, Changyin Sun
2023	A	`conf`	PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems. SC Xu Fu, Bingbin Zhang, Tengcheng Wang, Wenhao Li, Yuechen Lu, Enxin Yi, Jianqi Zhao, Xiaohan Geng, Fangying Li, Jingwen Zhang, Zhou Jin, Weifeng Liu
2023	—	`conf`	Three Challenges in ReRAM-Based Process-In-Memory for Neural Network. AICAS Ziyi Yang, Kehan Liu, Yiru Duan, Mingjia Fan, Qiyue Zhang, Zhou Jin
2022	—	`conf`	A survey and perspective on electronic design automation tools for ensuring SoC security. ISOCC Tian Feng, Haojie Pei, Zhou Jin, Xiao Wu
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	—	`conf`	Application of Deep Learning in Back-End Simulation: Challenges and Opportunities. ASP-DAC Yufei Chen, Haojie Pei, Xiao Dong, Zhou Jin, Cheng Zhuo
2022	B	`conf`	TileSpGEMM: a tiled algorithm for parallel sparse general matrix-matrix multiplication on GPUs. PPoPP Yuyao Niu, Zhengyang Lu, Haonan Ji, Shuhui Song, Zhou Jin, Weifeng Liu
2022	B	`conf`	TileSpMSpV: A Tiled Algorithm for Sparse Matrix-Sparse Vector Multiplication on GPUs. ICPP Haonan Ji, Huimin Song, Shibo Lu, Zhou Jin, Guangming Tan, Weifeng Liu
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`	Implementing LU and Cholesky factorizations on artificial intelligence accelerators. CCF Trans. High Perform. Comput. Yuechen Lu, Yuchen Luo, Haocheng Lian, Zhou Jin, Weifeng Liu
2021	—	`conf`	PALBBD: A Parallel ArcLength Method Using Bordered Block Diagonal Form for DC Analysis. ACM Great Lakes Symposium on VLSI Zhou Jin, Tian Feng, Yiru Duan, Xiao Wu, Minghou Cheng, Zhenya Zhou, Weifeng Liu
2021	A*	`conf`	SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs. DAC Jianqi Zhao, Yao Wen, Yuchen Luo, Zhou Jin, Weifeng Liu, Zhenya Zhou
2021	J	`jnl`	Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations. Int. J. Parallel Program. Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Zhou Jin, Weifeng Liu, Brian Vinter
2021	A	`conf`	TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs. IPDPS Yuyao Niu, Zhengyang Lu, Meichen Dong, Zhou Jin, Weifeng Liu, Guangming Tan
2020	J	`jnl`	Two-Phase Multivariate Time Series Clustering to Classify Urban Rail Transit Stations. IEEE Access Liying Zhang, Tao Pei, Bin Meng, Yuanfeng Lian, Zhou Jin
2018	—	`conf`	An adaptive dynamic-element PTA method for solving nonlinear DC operating point of transistor circuits. MWSCAS Zhou Jin, Meiping Liu, Xiao Wu
2017	J	`jnl`	An Adaptive Time-Step Control Method in Damped Pseudo-Transient Analysis for Solving Nonlinear DC Circuit Equations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Xiao Wu, Zhou Jin, Dan Niu, Yasuaki Inoue
2015	—	`conf`	A netlist implementation of the Newton fixed-point homotopy method for MOS transistor circuits. MWSCAS Dan Niu, Yasuaki Inoue, Zhou Jin, Xiao Wu
2014	—	`conf`	A ramping method combined with the damped PTA algorithm to find the DC operating points for nonlinear circuits. ISIC Zhou Jin, Xiao Wu, Yasuaki Inoue, Dan Niu
2014	—	`conf`	The limitation for the growth of step of DPTA method. ISIC Xiao Wu, Zhou Jin, Dan Niu, Yasuaki Inoue
2013	J	`jnl`	An Effective and Globally Convergent Newton Fixed-Point Homotopy Method for MOS Transistor Circuits. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Dan Niu, Xiao Wu, Zhou Jin, Yasuaki Inoue
2013	J	`jnl`	Effective Implementation and Embedding Algorithms of CEPTA Method for Finding DC Operating Points. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Zhou Jin, Xiao Wu, Dan Niu, Yasuaki Inoue