Effective Implementation and Embedding Algorithms of CEPTA Method for Finding DC Operating Points. - Zhou Jin 001; Xiao Wu; Dan Niu; Yasuaki Inoue (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

An Effective and Globally Convergent Newton Fixed-Point Homotopy Method for MOS Transistor Circuits. - Dan Niu; Xiao Wu; Zhou Jin 001; Yasuaki Inoue (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

A ramping method combined with the damped PTA algorithm to find the DC operating points for nonlinear circuits. - Zhou Jin 001; Xiao Wu; Yasuaki Inoue; Dan Niu (ISIC, 2014)

The limitation for the growth of step of DPTA method. - Xiao Wu; Zhou Jin 001; Dan Niu; Yasuaki Inoue (ISIC, 2014)

A netlist implementation of the Newton fixed-point homotopy method for MOS transistor circuits. - Dan Niu; Yasuaki Inoue; Zhou Jin 001; Xiao Wu (MWSCAS, 2015)

An Adaptive Time-Step Control Method in Damped Pseudo-Transient Analysis for Solving Nonlinear DC Circuit Equations. - Xiao Wu; Zhou Jin 001; Dan Niu; Yasuaki Inoue (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

An adaptive dynamic-element PTA method for solving nonlinear DC operating point of transistor circuits. - Zhou Jin 001; Meiping Liu; Xiao Wu (MWSCAS, 2018)

Two-Phase Multivariate Time Series Clustering to Classify Urban Rail Transit Stations. - Liying Zhang; Tao Pei; Bin Meng; Yuanfeng Lian; Zhou Jin 001 (IEEE Access, 2020)

SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs. - Jianqi Zhao 001; Yao Wen; Yuchen Luo; Zhou Jin 001; Weifeng Liu 002; Zhenya Zhou (DAC, 2021)

PALBBD: A Parallel ArcLength Method Using Bordered Block Diagonal Form for DC Analysis. - Zhou Jin 001; Tian Feng 002; Yiru Duan; Xiao Wu; Minghou Cheng; Zhenya Zhou; Weifeng Liu 002 (ACM Great Lakes Symposium on VLSI, 2021)

TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs. - Yuyao Niu; Zhengyang Lu 003; Meichen Dong; Zhou Jin 001; Weifeng Liu 002; Guangming Tan (IPDPS, 2021)

Implementing LU and Cholesky factorizations on artificial intelligence accelerators. - Yuechen Lu; Yuchen Luo; Haocheng Lian; Zhou Jin 001; Weifeng Liu 002 (CCF Trans. High Perform. Comput., 2021)

BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver. - Wei W. Xing; Xiang Jin; Yi Liu; Dan Niu; Weishen Zhao; Zhou Jin 001 (CoRR, 2021)

Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations. - Haonan Ji; Shibo Lu; Kaixi Hou; Hao Wang 002; Zhou Jin 001; Weifeng Liu 002; Brian Vinter (Int. J. Parallel Program., 2021)

Application of Deep Learning in Back-End Simulation: Challenges and Opportunities. - Yufei Chen 007; Haojie Pei; Xiao Dong; Zhou Jin 001; Cheng Zhuo (ASP-DAC, 2022)

Accelerating nonlinear DC circuit simulation with reinforcement learning. - Zhou Jin 001; Haojie Pei; Yichao Dong; Xiang Jin; Xiao Wu; Wei W. Xing; Dan Niu (DAC, 2022)

TileSpMSpV: A Tiled Algorithm for Sparse Matrix-Sparse Vector Multiplication on GPUs. - Haonan Ji; Huimin Song; Shibo Lu; Zhou Jin 001; Guangming Tan; Weifeng Liu 002 (ICPP, 2022)

A survey and perspective on electronic design automation tools for ensuring SoC security. - Tian Feng 002; Haojie Pei; Zhou Jin 001; Xiao Wu (ISOCC, 2022)

TileSpGEMM: a tiled algorithm for parallel sparse general matrix-matrix multiplication on GPUs. - Yuyao Niu; Zhengyang Lu 003; Haonan Ji; Shuhui Song; Zhou Jin 001; Weifeng Liu 002 (PPoPP, 2022)

Three Challenges in ReRAM-Based Process-In-Memory for Neural Network. - Ziyi Yang; Kehan Liu; Yiru Duan; Mingjia Fan; Qiyue Zhang; Zhou Jin 001 (AICAS, 2023)

AmgR: Algebraic Multigrid Accelerated on ReRAM. - Mingjia Fan; Xiaotian Tian; Yintao He; Junxian Li; Yiru Duan; Xiaozhe Hu; Ying Wang 001; Zhou Jin 001; Weifeng Liu 002 (DAC, 2023)

Accelerating Sparse LU Factorization with Density-Aware Adaptive Matrix Multiplication for Circuit Simulation. - Tengcheng Wang; Wenhao Li; Haojie Pei; Yuying Sun; Zhou Jin 001; Weifeng Liu 002 (DAC, 2023)

PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems. - Xu Fu; Bingbin Zhang; Tengcheng Wang; Wenhao Li; Yuechen Lu; Enxin Yi; Jianqi Zhao 001; Xiaohan Geng; Fangying Li; Jingwen Zhang; Zhou Jin 001; Weifeng Liu 002 (SC, 2023)

Adaptive Stepping PTA for DC Analysis Based on Reinforcement Learning. - Yichao Dong; Dan Niu; Zhou Jin 001; Chuan Zhang 001; Qi Li; Changyin Sun 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

BoA-PTA: A Bayesian Optimization Accelerated PTA Solver for SPICE Simulation. - Wei W. Xing; Xiang Jin; Tian Feng 002; Dan Niu; Weisheng Zhao; Zhou Jin 001 (ACM Trans. Design Autom. Electr. Syst., 2023)

OSSP-PTA: An Online Stochastic Stepping Policy for PTA on Reinforcement Learning. - Dan Niu; Yichao Dong; Zhou Jin 001; Chuan Zhang 001; Qi Li; Changyin Sun 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Machine Learning and GPU Accelerated Sparse Linear Solvers for Transistor-Level Circuit Simulation: A Perspective Survey (Invited Paper). - Zhou Jin 001; Wenhao Li; Yinuo Bai; Tengcheng Wang; Yicheng Lu; Weifeng Liu 002 (ASPDAC, 2024)

Unleashing the Potential of AQFP Logic Placement via Entanglement Entropy and Projection. - Yinuo Bai; Enxin Yi; Wei W. Xing; Bei Yu 001; Zhou Jin 001 (DAC, 2024)

ReCG: ReRAM-Accelerated Sparse Conjugate Gradient. - Mingjia Fan; Xiaoming Chen 003; Dechuang Yang; Zhou Jin 001; Weifeng Liu 002 (DAC, 2024)

MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction. - Chenxi Li; Boyuan Zhang 002; Yongqiang Duan; Yang Li; Zuochang Ye; Weifeng Liu 002; Dingwen Tao; Zhou Jin 001 (DAC, 2024)

MAUnet: Multiscale Attention U-Net for Effective IR Drop Prediction. - Mingyue Wang; Yuanqing Cheng; Yage Lin; Kelin Peng; Shunchuan Yang; Zhou Jin 001; Wei W. Xing (DAC, 2024)

MSH: A Multi-Stage HiZ-Aware Homotopy Framework for Nonlinear DC Analysis. - Zhou Jin 001; Tian Feng 002; Xiao Wu; Dan Niu; Zhenya Zhou; Cheng Zhuo (DATE, 2024)

Efficient Spectral-Aware Power Supply Noise Analysis for Low-Power Design Verification. - Yinuo Bai; Xiaoyu Yang; Yicheng Lu; Dan Niu; Cheng Zhuo; Zhou Jin 001; Weifeng Liu 002 (DATE, 2024)

TSA-TICER: A Two-Stage TICER Acceleration Framework for Model Order Reduction. - Pengju Chen; Dan Niu; Zhou Jin 001; Changyin Sun 001; Qi Li; Hao Yan (DATE, 2024)

ISPT-Net: A Noval Transient Backward-Stepping Reduction Policy by Irregular Sequential Prediction Transformer. - Yichao Dong; Dan Niu; Zhou Jin 001; Chuan Zhang 001; Changyin Sun 001; Zhenya Zhou (DATE, 2024)

Heterogeneous Static Timing Analysis with Advanced Delay Calculator. - Zizheng Guo; Tsung-Wei Huang; Zhou Jin 001; Cheng Zhuo; Yibo Lin; Runsheng Wang; Ru Huang 001 (DATE, 2024)

Cuper: Customized Dataflow and Perceptual Decoding for Sparse Matrix-Vector Multiplication on HBM-Equipped FPGAs. - Enxin Yi; Yiru Duan; Yinuo Bai; Kang Zhao; Zhou Jin 001; Weifeng Liu 002 (DATE, 2024)

Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation. - Guofeng Feng; Hongyu Wang; Zhuoqiang Guo; Mingzhen Li 001; Tong Zhao; Zhou Jin 001; Weile Jia; Guangming Tan; Ninghui Sun (Euro-Par (3), 2024)

ISLU: Indexing-Efficient Sparse LU Factorization for Circuit Simulation on GPUs. - Dan Niu; Yiyang Tao; Zhou Jin 001; Yichao Dong; Chao Wang 120; Changyin Sun 001 (ICCAD, 2024)

Pseudo Adjoint Optimization: Harnessing the Solution Curve for SPICE Acceleration. - Jiatai Sun; Xiaru Zha; Chao Wang 120; Xiao Wu; Dan Niu; Wei W. Xing; Zhou Jin 001 (ICCAD, 2024)

Leda: Leveraging Tiling Dataflow to Accelerate SpMM on HBM-Equipped FPGAs for GNNs. - Enxin Yi; Jiarui Bai; Yijie Nie; Dan Niu; Zhou Jin 001; Weifeng Liu 002 (ICCAD, 2024)

CSP: Comprehensively-Sparsified Preconditioner for Efficient Nonlinear Circuit Simulation. - Yuxuan Zhao; Xiaoyu Yang; Yinuo Bai; Lijie Zeng; Dan Niu; Weifeng Liu 002; Zhou Jin 001 (ICCAD, 2024)

A Parallel Simulation Framework Incorporating Machine Learning-Based Hotspot Detection for Accelerated Power Grid Analysis. - Yangfan Jiang 002; Jianfei Song; Xunzhao Yin; Xiao Dong; Songyu Sun; Yibo Lin; Zhou Jin 001; Xiaoyu Yang; Cheng Zhuo (MLCAD, 2024)

AmgT: Algebraic Multigrid Solver on Tensor Cores. - Yuechen Lu; Lijie Zeng; Tengcheng Wang; Xu Fu; Wenxuan Li; Helin Cheng; Dechuang Yang; Zhou Jin 001; Marc Casas; Weifeng Liu 002 (SC, 2024)

Mille-feuille: A Tile-Grained Mixed Precision Single-Kernel Conjugate Gradient Solver on GPUs. - Dechuang Yang; Yuxuan Zhao; Yiduo Niu; Weile Jia; En Shao; Weifeng Liu 002; Guangming Tan; Zhou Jin 001 (SC, 2024)

Boosting the Performance of Transistor-Level Circuit Simulation with GNN. - Jiqing Jiang; Yongqiang Duan; Zhou Jin 001 (ASP-DAC, 2025)

LaRED: Efficient IR Drop Predictor with Layout-Preserving Rebuilder-Encoder-Decoder Architecture. - Chengxuan Yu; Yanshuang Teng; Wenhao Dai; Yongjiang Li; Wei W. Xing; Xiao Wu; Dan Niu; Zhou Jin 001 (DATE, 2025)

A Novel Frequency-Spatial Domain Aware Network for Fast Thermal Prediction in 2.5D ICs. - Dekang Zhang; Dan Niu; Zhou Jin 001; Yichao Dong; Jingweijia Tan; Changyin Sun 001 (DATE, 2025)

ReRAM-Based Process-In-Memory Accelerator for Iterative Solvers: A Systematic Survey. - Boyu Geng; Mingjia Fan; Zhou Jin 001; Weifeng Liu 002 (ISCAS, 2025)