Zhenzhi Wu

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 15

Top Topics

Information Processing

Top Venues

Neural Networks

Publications

Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang
Learnable Heterogeneous Convolution: Learning both topology and strength. CoRR (2023)
Rongzhen Zhao, Jian Li, Zhenzhi Wu
Convolution of Convolution: Let Kernels Spatially Collaborate. CVPR (2022)
Zhenzhi Wu, Zhihong Zhang, Huanhuan Gao, Jun Qin, Rongzhen Zhao, Guangshe Zhao, Guoqi Li
Modeling learnable electrical synapse for high precision spatio-temporal recognition. Neural Networks 149 (2022)
Zhenzhi Wu, Hehui Zhang, Yihan Lin, Guoqi Li, Meng Wang, Ye Tang
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang
Learnable Heterogeneous Convolution: Learning both topology and strength. Neural Networks 141 (2021)
Lei Tian, Zhenzhi Wu, Shuang Wu, Luping Shi
Hybrid neural state machine for neural network. Sci. China Inf. Sci. 64 (3) (2021)
Zhenzhi Wu, Hehui Zhang, Yihan Lin, Guoqi Li, Meng Wang, Ye Tang
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing. CoRR (2020)
Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 55 (8) (2020)
Daiheng Gao, Zhenzhi Wu, Yujie Wu, Guoqi Li, Jing Pei
ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks. HBAI@IJCAI (2020)
Yueting Shi, Hai Li, Hehui Zhang, Zhenzhi Wu, Shiwei Ren
Accurate and Efficient LIF-Nets for 3D Detection and Recognition. IEEE Access 8 (2020)
Daiheng Gao, Zhenzhi Wu, Weihao Zhang
Safe-Net: Solid and Abstract Feature Extraction Network for Pedestrian Attribute Recognition. ICIP (2019)
Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework. Neural Networks 100 (2018)
Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li
Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework. CoRR (2017)
Zhenzhi Wu, Chen Gong, Dake Liu
Computational Complexity Analysis of FEC Decoding on SDR Platforms. J. Signal Process. Syst. 89 (2) (2017)
Le Zheng, Zhenzhi Wu, Mingoo Seok, Xiaodong Wang, Quanhua Liu
) Complex Approximate Message Passing: Cross-layer Design. IEEE Trans. Circuits Syst. I Regul. Pap. (10) (2016)
Zhenzhi Wu, Dake Liu
High-Throughput Trellis Processor for Multistandard FEC Decoding. IEEE Trans. Very Large Scale Integr. Syst. 23 (12) (2015)
Zhenzhi Wu, Dake Liu, Xiaoyang Li, Chen Gong
A contention-free memory subsystem for 5G Turbo decoder with flexible degree of parallelism. SiPS (2015)
Zhenzhi Wu, Dake Liu, Xiaoyang Li
Loop acceleration and instruction repeat support for application specific instruction-set processors. SoCC (2015)
Dake Liu, Chaoyuan Zuo, Zhenzhi Wu
Benefit and cost of cross sliding window scheduling for low latency 5G Turbo decoding. ICCC (2015)
Chen Gong, Xiaoyang Li, Zhenzhi Wu, Dake Liu
A conflict-free access method for parallel turbo decoder. WCSP (2014)
Zhenzhi Wu, Dake Liu
Flexible multistandard FEC processor design with ASIP methodology. ASAP (2014)
Zhenzhi Wu, Dake Liu, Yanjun Zhang
Matrix reordering techniques for memory conflict reduction for pipelined QC-LDPC decoder. ICCC (2014)
Zhenzhi Wu, Dake Liu
Memory sharing techniques for multi-standard high-throughput FEC decoder. ICSAMOS (2014)
Zhenzhi Wu, Dake Liu, Zheng Yang, Qingying Wang, Wei Zhou
FPGA implementation of a multi-algorithm parallel FEC for SDR platforms. FPL (2014)