Zhenzhi Wu - RankMe

24 papers A* 1B 2C 2Journal 13Unranked 6

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