| 2026 | ASPDAC | IR Drop-Aware ECO: A Fast Approach to Minimize Layout and Timing Disturbance. | Jingchao Hu, Yibo Lin, Hao Yu, Quan Chen, Zhou Jin, Cheng Zhuo |
| 2026 | ASPDAC | Understanding and Predicting Vmin Failures in Power Delivery Networks through Multi-Order Droop Signatures. | Songyu Sun, Jingchao Hu, Zhou Jin, Cheng Zhuo |
| 2026 | DATE | From Forest to Tree: Prioritizing the Maximum Additional Delay in AQFP Circuit Design. | Yinuo Bai, Mingjia Fan, Tsung-Yi Ho, Zhou Jin |
| 2026 | DATE | MISP-Net: Significantly Reducing Transient Backward Steppings via Novel Multi-step Irregular Sequence Prediction. | Yichao Dong, Dan Niu, Chao Wang, Zhenya Zhou, Zhou Jin, Changyin Sun |
| 2026 | DATE | GE-LLM: Graph-Enhanced Large Language Models for Efficient Transistor-Level Circuit Simulation. | Chao Wang, Dan Niu, Yichao Dong, Dekang Zhang, Changyin Sun, Zhou Jin |
| 2026 | DATE | SCALER: A Stream-Aware Accelerator with Hierarchical Memory for Sparse LU Factorization on HBM FPGAs. | Xin Xu, Zhiying Zhu, Zishu Li, Dan Niu, Cheng Zhuo, Zhou Jin |
| 2026 | DATE | MinFill: Reinforcement Learning and GNN Guided Reordering for Fill-In Reduction in RF Circuit Matrices. | Hao Zhang, Dan Niu, Cheng Zhuo, Zhou Jin |
| 2026 | PPoPP | Trojan Horse: Aggregate-and-Batch for Scaling Up Sparse Direct Solvers on GPU Clusters. | Yida Li, Siwei Zhang, Yiduo Niu, Yang Du, Qingxiao Sun, Zhou Jin, Weifeng Liu |
| 2025 | ASPDAC | Boosting the Performance of Transistor-Level Circuit Simulation with GNN. | Jiqing Jiang, Yongqiang Duan, Zhou Jin |
| 2025 | DAC | NeuralMesh: Neural Network For FEM Mesh Generation in 2.5D/3D Chiplet Thermal Simulation. | Pengju Chen, Dan Niu, Dekang Zhang, Wenhao Wang, Depeng Xie, Zhou Jin, Wei W. Xing, Lei He |
| 2025 | DAC | PiSPICE: Accelerating Post-Layout SPICE Simulation via Essential Parasitic Identification. | Zhou Jin, Jing Li, Jian Xin, Tianjia Zhou, Xiao Wu, Dan Niu, Zuochang Ye |
| 2025 | DAC | MemSens: Significantly Reducing Memory Overhead in Adjoint Sensitivity Analysis Using Novel Error-Bounded Lossy Compression. | Chenxi Li, Yihang Feng, Fuxing Deng, Dingwen Tao, Weifeng Liu, Zhou Jin |
| 2025 | DAC | A Novel Image-Graph Heterogeneous Fusion Framework for Static IR Drop Prediction. | Dan Niu, Dekang Zhang, Yichao Cao, Zhou Jin, Chao Wang, Yichao Dong, Changyin Sun |
| 2025 | DAC | A Cutting-Edge Parallel Solver for Scalable Power Grid Analysis Using Nested Domain Decomposition. | Jianfei Song, Xiaoyu Yang, Zhou Jin, Cheng Zhuo |
| 2025 | DAC | G-SpNN: GPU-Accelerated Passivity Enforcement for S-Parameter Modeling with Neural Networks. | Lijie Zeng, Jiatai Sun, Xiao Wu, Dan Niu, Tianshi Wang, Yibo Lin, Zuochang Ye, Zhou Jin |
| 2025 | DATE | 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 |
| 2025 | DATE | A Novel Frequency-Spatial Domain Aware Network for Fast Thermal Prediction in 2.5D ICs. | Dekang Zhang, Dan Niu, Zhou Jin, Yichao Dong, Jingweijia Tan, Changyin Sun |
| 2025 | ICCAD | Accelerating Electro-Thermal Co-Analysis via Coarse-to-Fine Physics-Informed Neural Networks. | Xiao Dong, Songyu Sun, Xunzhao Yin, Zhou Jin, Zhiguo Shi, Cheng Zhuo |
| 2025 | ICCAD | A Geometry-Material Aware Point Cloud Transformer for Large-scale Unstructured Thermal Analysis in 2.5D ICs. | Dekang Zhang, Dan Niu, Yichao Cao, Yichao Dong, Zhenya Zhou, Zhou Jin |
| 2025 | ISCAS | ReRAM-Based Process-In-Memory Accelerator for Iterative Solvers: A Systematic Survey. | Boyu Geng, Mingjia Fan, Zhou Jin, Weifeng Liu |
| 2024 | ASPDAC | Machine Learning and GPU Accelerated Sparse Linear Solvers for Transistor-Level Circuit Simulation: A Perspective Survey (Invited Paper). | Zhou Jin, Wenhao Li, Yinuo Bai, Tengcheng Wang, Yicheng Lu, Weifeng Liu |
| 2024 | DAC | Unleashing the Potential of AQFP Logic Placement via Entanglement Entropy and Projection. | Yinuo Bai, Enxin Yi, Wei W. Xing, Bei Yu, Zhou Jin |
| 2024 | DAC | ReCG: ReRAM-Accelerated Sparse Conjugate Gradient. | Mingjia Fan, Xiaoming Chen, Dechuang Yang, Zhou Jin, Weifeng Liu |
| 2024 | DAC | MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction. | Chenxi Li, Boyuan Zhang, Yongqiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin |
| 2024 | DAC | MAUnet: Multiscale Attention U-Net for Effective IR Drop Prediction. | Mingyue Wang, Yuanqing Cheng, Yage Lin, Kelin Peng, Shunchuan Yang, Zhou Jin, Wei W. Xing |
| 2024 | DATE | MSH: A Multi-Stage HiZ-Aware Homotopy Framework for Nonlinear DC Analysis. | Zhou Jin, Tian Feng, Xiao Wu, Dan Niu, Zhenya Zhou, Cheng Zhuo |
| 2024 | DATE | Efficient Spectral-Aware Power Supply Noise Analysis for Low-Power Design Verification. | Yinuo Bai, Xiaoyu Yang, Yicheng Lu, Dan Niu, Cheng Zhuo, Zhou Jin, Weifeng Liu |
| 2024 | DATE | TSA-TICER: A Two-Stage TICER Acceleration Framework for Model Order Reduction. | Pengju Chen, Dan Niu, Zhou Jin, Changyin Sun, Qi Li, Hao Yan |
| 2024 | DATE | ISPT-Net: A Noval Transient Backward-Stepping Reduction Policy by Irregular Sequential Prediction Transformer. | Yichao Dong, Dan Niu, Zhou Jin, Chuan Zhang, Changyin Sun, Zhenya Zhou |
| 2024 | DATE | Heterogeneous Static Timing Analysis with Advanced Delay Calculator. | Zizheng Guo, Tsung-Wei Huang, Zhou Jin, Cheng Zhuo, Yibo Lin, Runsheng Wang, Ru Huang |
| 2024 | DATE | 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, Weifeng Liu |
| 2024 | EuroPar | Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation. | Guofeng Feng, Hongyu Wang, Zhuoqiang Guo, Mingzhen Li, Tong Zhao, Zhou Jin, Weile Jia, Guangming Tan, Ninghui Sun |
| 2024 | ICCAD | ISLU: Indexing-Efficient Sparse LU Factorization for Circuit Simulation on GPUs. | Dan Niu, Yiyang Tao, Zhou Jin, Yichao Dong, Chao Wang, Changyin Sun |
| 2024 | ICCAD | Pseudo Adjoint Optimization: Harnessing the Solution Curve for SPICE Acceleration. | Jiatai Sun, Xiaru Zha, Chao Wang, Xiao Wu, Dan Niu, Wei W. Xing, Zhou Jin |
| 2024 | ICCAD | Leda: Leveraging Tiling Dataflow to Accelerate SpMM on HBM-Equipped FPGAs for GNNs. | Enxin Yi, Jiarui Bai, Yijie Nie, Dan Niu, Zhou Jin, Weifeng Liu |
| 2024 | ICCAD | CSP: Comprehensively-Sparsified Preconditioner for Efficient Nonlinear Circuit Simulation. | Yuxuan Zhao, Xiaoyu Yang, Yinuo Bai, Lijie Zeng, Dan Niu, Weifeng Liu, Zhou Jin |
| 2024 | ICCE | Analysis of Factors Influencing Teacher Behavioural Engagement in Distance Training Based on MOA and SDT. | Zhou Jin |
| 2024 | SC | AmgT: Algebraic Multigrid Solver on Tensor Cores. | Yuechen Lu, Lijie Zeng, Tengcheng Wang, Xu Fu, Wenxuan Li, Helin Cheng, Dechuang Yang, Zhou Jin, Marc Casas, Weifeng Liu |
| 2024 | SC | 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, Guangming Tan, Zhou Jin |
| 2023 | DAC | AmgR: Algebraic Multigrid Accelerated on ReRAM. | Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin, Weifeng Liu |
| 2023 | DAC | Accelerating Sparse LU Factorization with Density-Aware Adaptive Matrix Multiplication for Circuit Simulation. | Tengcheng Wang, Wenhao Li, Haojie Pei, Yuying Sun, Zhou Jin, Weifeng Liu |
| 2023 | SC | 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, Xiaohan Geng, Fangying Li, Jingwen Zhang, Zhou Jin, Weifeng Liu |
| 2022 | ASPDAC | Application of Deep Learning in Back-End Simulation: Challenges and Opportunities. | Yufei Chen, Haojie Pei, Xiao Dong, Zhou Jin, Cheng Zhuo |
| 2022 | DAC | Accelerating nonlinear DC circuit simulation with reinforcement learning. | Zhou Jin, Haojie Pei, Yichao Dong, Xiang Jin, Xiao Wu, Wei W. Xing, Dan Niu |
| 2022 | ICCE | Exploring the Impact of Game-based Learning on Students' Creativity from the Perspective of Interest, Relationship and Opportunity. | Zhou Jin, Yingxin Li, Chien-Liang Lin, Chi-Heng Li |
| 2022 | ICPP | TileSpMSpV: A Tiled Algorithm for Sparse Matrix-Sparse Vector Multiplication on GPUs. | Haonan Ji, Huimin Song, Shibo Lu, Zhou Jin, Guangming Tan, Weifeng Liu |
| 2022 | PPoPP | TileSpGEMM: a tiled algorithm for parallel sparse general matrix-matrix multiplication on GPUs. | Yuyao Niu, Zhengyang Lu, Haonan Ji, Shuhui Song, Zhou Jin, Weifeng Liu |
| 2021 | DAC | SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs. | Jianqi Zhao, Yao Wen, Yuchen Luo, Zhou Jin, Weifeng Liu, Zhenya Zhou |
| 2016 | CEC | A new flood forecasting model based on SVM and boosting learning algorithms. | Shijin Li, Kaikai Ma, Zhou Jin, Yuelong Zhu |
| 2016 | IJCNN | Combining user-based and global lexicon features for sentiment analysis in twitter. | Zhou Jin, Yujiu Yang, Xianyu Bao, Biqing Huang |
| 2013 | ICDM | Mining Causal Association Rules. | Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun |
| 2012 | ICDM | Discovery of Causal Rules Using Partial Association. | Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bing-Yu Sun, Rujing Wang |
| 2007 | ICCSA | Rendering of Translucent Objects Based Upon PRT Techniques. | Jiawan Zhang, Yang Gao, Jizhou Sun, Zhou Jin |
| 2005 | ICCSA | Survey of Parallel and Distributed Volume Rendering: Revisited. | Jiawan Zhang, Jizhou Sun, Zhou Jin, Yi Zhang, Qi Zhai |
| 2004 | ICCSA | A Parallel Volume Splatting Algorithm Based on PC-Clusters. | Jiawan Zhang, Jizhou Sun, Yi Zhang, Qianqian Han, Zhou Jin |