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2020 – today
- 2023
[i3]Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang:
Learnable Heterogeneous Convolution: Learning both topology and strength. CoRR abs/2301.05440 (2023)- 2022
- [j10]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: 184-194 (2022) - [j9]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): 6249-6262 (2022) - [c11]Rongzhen Zhao, Jian Li, Zhenzhi Wu:
Convolution of Convolution: Let Kernels Spatially Collaborate. CVPR 2022: 641-650 - 2021
- [j8]Lei Tian, Zhenzhi Wu, Shuang Wu, Luping Shi:
Hybrid neural state machine for neural network. Sci. China Inf. Sci. 64(3) (2021) - [j7]Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang:
Learnable Heterogeneous Convolution: Learning both topology and strength. Neural Networks 141: 270-280 (2021) - 2020
- [j6]Yueting Shi, Hai Li, Hehui Zhang, Zhenzhi Wu, Shiwei Ren:
Accurate and Efficient LIF-Nets for 3D Detection and Recognition. IEEE Access 8: 98562-98571 (2020) - [j5]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): 2228-2246 (2020) - [c10]Daiheng Gao, Zhenzhi Wu, Yujie Wu, Guoqi Li, Jing Pei:
ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks. HBAI@IJCAI 2020: 1-13 - [i2]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 abs/2011.06176 (2020)
2010 – 2019
- 2019
- [c9]Daiheng Gao, Zhenzhi Wu, Weihao Zhang:
Safe-Net: Solid and Abstract Feature Extraction Network for Pedestrian Attribute Recognition. ICIP 2019: 1655-1659 - 2018
- [j4]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: 49-58 (2018) - 2017
- [j3]Zhenzhi Wu, Chen Gong, Dake Liu:
Computational Complexity Analysis of FEC Decoding on SDR Platforms. J. Signal Process. Syst. 89(2): 209-224 (2017) - [i1]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 abs/1705.09283 (2017) - 2016
- [j2]Le Zheng, Zhenzhi Wu, Mingoo Seok, Xiaodong Wang, Quanhua Liu:
High-Accuracy Compressed Sensing Decoder Based on Adaptive (ℓ0, ℓ1) Complex Approximate Message Passing: Cross-layer Design. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(10): 1726-1736 (2016) - 2015
- [j1]Zhenzhi Wu, Dake Liu:
High-Throughput Trellis Processor for Multistandard FEC Decoding. IEEE Trans. Very Large Scale Integr. Syst. 23(12): 2757-2767 (2015) - [c8]Dake Liu, Chaoyuan Zuo, Zhenzhi Wu:
Benefit and cost of cross sliding window scheduling for low latency 5G Turbo decoding. ICCC 2015: 1-4 - [c7]Zhenzhi Wu, Dake Liu, Xiaoyang Li, Chen Gong:
A contention-free memory subsystem for 5G Turbo decoder with flexible degree of parallelism. SiPS 2015: 1-5 - [c6]Zhenzhi Wu, Dake Liu, Xiaoyang Li:
Loop acceleration and instruction repeat support for application specific instruction-set processors. SoCC 2015: 251-256 - 2014
- [c5]Zhenzhi Wu, Dake Liu:
Flexible multistandard FEC processor design with ASIP methodology. ASAP 2014: 210-218 - [c4]Zhenzhi Wu, Dake Liu, Zheng Yang, Qingying Wang, Wei Zhou:
FPGA implementation of a multi-algorithm parallel FEC for SDR platforms. FPL 2014: 1-6 - [c3]Zhenzhi Wu, Dake Liu, Yanjun Zhang:
Matrix reordering techniques for memory conflict reduction for pipelined QC-LDPC decoder. ICCC 2014: 354-359 - [c2]Zhenzhi Wu, Dake Liu:
Memory sharing techniques for multi-standard high-throughput FEC decoder. ICSAMOS 2014: 93-98 - [c1]Chen Gong, Xiaoyang Li, Zhenzhi Wu, Dake Liu:
A conflict-free access method for parallel turbo decoder. WCSP 2014: 1-6
Coauthor Index
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