Publications

Xiaoyi Liu, Zhongzhu Pu, Peng Qu, Weimin Zheng, Youhui Zhang (2024). ActiveN: A Scalable and Flexibly-programmable Event-driven Neuromorphic Processor. In MICRO ’24.

Xuanzheng Wang, Shuo Miao, Peng Qu, Youhui Zhang (2024). DTrans: A Dataflow-transformation FPGA Accelerator with Nonlinear-operators fusion aiming for the Generative Model. In FPL'24.

Meng Pang, Xiang Fei, Peng Qu, Zhaolin Li, Youhui Zhang (2024). A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs. In PPoPP ‘24.

Peng Qu, Xinglong Ji, Jiajie Chen, Meng Pang, Yuchen Li, Xiaoyi Liu, Youhui Zhang (2024). Research on General-purpose Brain-Inspired Computing Systems. In JCST ‘24 Cover Article.

Renhao Fan, Yikai Cui, Qilin Chen, Mingyu Wang, Youhui Zhang, Weimin Zheng, Zhaolin Li (2023). MAICC : A Lightweight Many-core Architecture with In-Cache Computing for Multi-DNN Parallel Inference. In MICRO ’23.

Zeqing Li, Yongwei Wu, Youhui Zhang (2023). Multi-objective optimization for Floating Point Mix-Precision Tuning.. In ISLPED ‘23 Best paper candidate..

Meng Pang, Yuchen Li, Zhaolin Li, Youhui Zhang (2023). FABLE: A Development and Computing Framework for Brain-inspired Learning Algorithms. In IJCNN ‘23.

Peng Qu, Hui Lin, Meng Pang, Xiaofei Liu, Weimin Zheng, Youhui Zhang (2023). ENLARGE: An Efficient SNN Simulation Framework on GPU Clusters. In IEEE TPDS ‘24.

Jiajie Chen, Le Yang, Youhui Zhang (2022). GaBAN: a generic and flexibly programmable vector neuro-processor on FPGA. In DAC ‘22.

Xiang Fei, Jianhui Han, Jianqiang Huang, Weimin Zheng, Youhui Zhang (2022). Accelerating Neural Network Training with Processing-in-Memory GPU. In IEEE CCGrid ‘22.

Peng Qu, Le Yang, Weimin Zheng, Youhui Zhang (2022). A review of basic software for brain-inspired computing. In CCF THPC ‘22.

Jianhui Han, Xiang Fei, Zhaolin Li, Youhui Zhang (2021). Polyhedral-Based Compilation Framework for In-Memory Neural Network Accelerators. In JETC ‘21.

Xiang Fei, Youhui Zhang (2021). Regu2D: Accelerating Vectorization of SpMV on Intel Processors through 2D-partitioning and Regular Arrangement. In ICPP ‘21.

Yu Ji, Youhui Zhang, Weimin Zheng (2021). Approximate computing method based on memristors. In JST ‘21.

Peng Qu, Jiajie Chen, Youhui Zhang, Weimin Zheng (2021). A Proposal of Software-Hardware Decoupling Hardware Design Method for Brain-Inspired Computing. In JCRD ‘21.

Youhui Zhang, Peng Qu, Weimin Zheng (2021). Towards "general purpose" brain-inspired computing system. In TST ‘21.

Yu Ji, Liuzixin, Youhui Zhang (2021). A Reduced Architecture for ReRAM-Based Neural Network Accelerator and Its Software Stack. In IEEE TC ‘21.

Xiang Fei, Youhui Zhang, Weimin Zheng (2020). XB-SIM*: A Simulation Framework for Modeling and Exploration of ReRAM-Based CNN Acceleration Design. In TST ‘21.

Peng Qu, Youhui Zhang, Xiang Fei (2020). High Performance Simulation of Spiking Neural Network on GPGPUs. In IEEE TPDS ‘20.

Youhui Zhang, Peng Qu, Yu Ji, Weihao Zhang, Guangrong Gao, Guanrui Wang, Sen Song, Guoqi Li, Wenguang Chen, Weimin Zheng, Feng Chen, Jing Pei, Rong Zhao, Mingguo Zhao, Luping Shi (2020). A system hierarchy for brain-inspired computing. In Nature ‘20.

Jianhui Han, He Liu, Minyu Wang, Zhaolin Li, Youhui Zhang (2020). ERA-LSTM: An Efficient ReRAM-Based Architecture for Long Short-Term Memory. In IEEE TPDS ‘20.

Jianhui Han, Zhaolin Li, Weimin Zheng, Youhui Zhang (2020). Hardware implementation of spiking neural networks on FPGA. In TST ‘20.

Jing Pei, Lei Deng, Sen Song, Mingguo Zhao, Youhui Zhang, Shuang Wu, Guanrui Wang, Zhe Zou, Zhenzhi Wu, Wei He, Feng Chen, Ning Deng, Si Wu, Yu Wang, Yujie Wu, Zheyu Yang, Cheng Ma, Guoqi Li, Wentao Han, Huanglong Li, Huaqiang Wu, Rong Zhao, Yuan Xie, Luping Shi (2019). Towards artificial general intelligence with hybrid Tianjic chip architecture. In Nature ‘19.

He Liu, Yu Ji, Jianhui Han, Youhui Zhang, Weimin Zheng (2019). Training and Software Simulation for ReRAM-Based LSTM Neural Network Acceleration. In JCRD ‘19.

Yu Ji, Youhui Zhang, Xinfeng Xie, Shuangchen Li, Xing Hu, Yuan Xie (2019). FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. In ASPLOS ‘19.

He Liu, Jianhui Han, Youhui Zhang (2019). A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration. In IEEE CAL ‘19.

Yu Ji, Liuzixin, Xing Hu, Peiqi Wang, Youhui Zhang (2019). Programmable neural network trojan for pre-trained feature extractor. In arXiv.

Yu Ji, Ling Liang, Lei Deng, Youyang Zhang, Youhui Zhang, Yuan Xie (2018). TETRIS: TilE-matching the TRemendous Irregular Sparsity. In NIPS ‘18.

Yu Ji, Youhui Zhang, Wenguang Chen, Yuan Xie (2018). Bridge the Gap between Neural Networks and Neuromorphic Hardware with a Neural Network Compiler. In ASPLOS ‘18.

Youhui Zhang, Youyang Zhang, Yanhua Li, Xiang Fei, Weimin Zheng (2017). In-Place Irregular Computation for Message-Passing Chip-Multiprocessors. In ICPPW ‘21.

Yanhua Li, Youhui Zhang, Cihang Jiang, Weimin Zheng (2017). Hardware support for message-passing in chip multi-processors. In IJHPCN ‘17.

Peng Qu, Jin Yan, Youhui Zhang, Guang R. Gao (2017). Parallel Turing Machine, a Proposal. In JCST ‘17.

Yu Ji, Youhui Zhang, Shuangchen Li, Ping Chi, Cihang Jiang, Peng Qu, Yuan Xie, Wenguang Chen (2016). NEUTRAMS: Neural network transformation and co-design under neuromorphic hardware constraints. In MICRO ‘16.

Yu Ji, Youhui Zhang, He Liu, Weimin Zheng (2016). Optimized Mapping Spiking Neural Networks onto Network-on-Chip. In ICA3PP ‘16.

Youhui Zhang, Yu Ji, Wenguang Chen, Yuan Xie (2016). Neural network transformation under hardware constraints. In CASES ‘16.

Yu Ji, Youhui Zhang, Weimin Zheng (2016). Modelling Spiking Neural Network from the Architecture Evaluation Perspective. In JCST ‘16.

Cihang Jiang, Youhui Zhang, Weimin Zheng (2015). Software-Based Lightweight Multithreading to Overlap Memory-Access Latencies of Commodity Processors. In ICPP ‘15.

Youhui Zhang, Peng Qu, Cihang Jiang, Weimin Zheng (2015). A Cloud Gaming System Based on User-Level Virtualization and Its Resource Scheduling. In IEEE TPDS ‘16.