On orienting graphs for connectivity: Projective planes and Halin graphs. - Joseph Cheriyan; Chenglong Zou (Oper. Res. Lett., 2012)

Quotient Complexity of Closed Languages. - Janusz A. Brzozowski; Galina Jirásková; Chenglong Zou (Theory Comput. Syst., 2014)

A low bit-width parameter representation method for hardware-oriented convolution neural networks. - Qiang Chen; Chen Xin; Chenglong Zou; Xin'an Wang; Bo Wang 016 (ASICON, 2017)

COSY: An Energy-Efficient Hardware Architecture for Deep Convolutional Neural Networks Based on Systolic Array. - Chen Xin; Qiang Chen; Miren Tian; Mohan Ji; Chenglong Zou; Xin'an Wang; Bo Wang 016 (ICPADS, 2017)

BenchBox: A User-Driven Benchmarking Framework for Fat-Client Storage Systems. - Raúl Gracia Tinedo; Chenglong Zou; Marc Sánchez Artigas; Pedro García López (IEEE Trans. Parallel Distributed Syst., 2018)

BNReLU: Combine Batch Normalization and Rectified Linear Unit to Reduce Hardware Overhead. - Jiexian Ge; Xiaoxin Cui; Kanglin Xiao; Chenglong Zou; Yi-Hsiang Chen; Rongshan Wei (ASICON, 2019)

Deep Spiking Convolutional Neural Networks for Programmable Neuro-synaptic System. - Chenglong Zou; Xin'an Wang; Boxing Xu; Yisong Kuang; Xiaoxin Cui (ASICON, 2019)

A Novel Conversion Method for Spiking Neural Network using Median Quantization. - Chenglong Zou; Xiaoxin Cui; Jiexian Ge; Hanghang Ma; Xin'an Wang (ISCAS, 2020)

A 28-nm 0.34-pJ/SOP Spike-Based Neuromorphic Processor for Efficient Artificial Neural Network Implementations. - Yisong Kuang; Xiaoxin Cui; Yi Zhong; Kefei Liu 002; Chenglong Zou; Zhenhui Dai; Dunshan Yu; Yuan Wang 001; Ru Huang 001 (ISCAS, 2021)

28nm asynchronous area-saving AES processor with high Common and Machine learning side-channel attack resistance. - Qingyun Zou; Xiaoxin Cui; Zhenhui Dai; Yisong Kuang; Yi Zhong; Chenglong Zou; Xiaole Cui (IEICE Electron. Express, 2021)

A 64K-Neuron 64M-1b-Synapse 2.64pJ/SOP Neuromorphic Chip With All Memory on Chip for Spike-Based Models in 65nm CMOS. - Yisong Kuang; Xiaoxin Cui; Yi Zhong; Kefei Liu 002; Chenglong Zou; Zhenhui Dai; Yuan Wang 001; Dunshan Yu; Ru Huang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

A Full-Neuron Memory Model Designed for Neuromorphic Systems. - Kefei Liu 002; Xiaoxin Cui; Chenglong Zou; Yisong Kuang; Yi Zhong; Kanglin Xiao; Yuan Wang 001 (AICAS, 2022)

A Hybrid Spiking Recurrent Neural Network on Hardware for Efficient Emotion Recognition. - Chenglong Zou; Xiaoxin Cui; Yisong Kuang; Yuan Wang 001; Xinan Wang (AICAS, 2022)

An Event-driven Spiking Neural Network Accelerator with On-chip Sparse Weight. - Yisong Kuang; Xiaoxin Cui; Chenglong Zou; Yi Zhong; Zhenhui Dai; Zilin Wang; Kefei Liu 002; Dunshan Yu; Yuan Wang 001 (ISCAS, 2022)

Modular building blocks for mapping spiking neural networks onto a programmable neuromorphic processor. - Chenglong Zou; Xiaoxin Cui; Guang Chen; Shuo Feng; Kefei Liu 002; Xinan Wang; Yuan Wang 001 (Microelectron. J., 2022)

ESSA: Design of a Programmable Efficient Sparse Spiking Neural Network Accelerator. - Yisong Kuang; Xiaoxin Cui; Zilin Wang; Chenglong Zou; Yi Zhong; Kefei Liu 002; Zhenhui Dai; Dunshan Yu; Yuan Wang 001; Ru Huang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Real-Time Target Tracking System With Spiking Neural Networks Implemented on Neuromorphic Chips. - Kefei Liu 002; Xiaoxin Cui; Xiang Ji; Yisong Kuang; Chenglong Zou; Yi Zhong; Kanglin Xiao; Yuan Wang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Toward a Lossless Conversion for Spiking Neural Networks with Negative-Spike Dynamics. - Chenglong Zou; Xiaoxin Cui; Guang Chen; Yuanyuan Jiang; Yuan Wang 001 (Adv. Intell. Syst., 2023)

HPGA: An Improved Hybrid Genetic Algorithm with Parallel Acceleration for Dynamic Flexible Job-shop Scheduling Problem. - Chenglong Zou; Zhenqi Huang; Xiulei Qin; Yonggui Huang; Yunhuai Liu (ICBDT, 2024)

How the Brain Achieves Real-Time Vision: A Spiking Position Perception Model. - Kefei Liu 002; Jingjie Shang; Xiaoxin Cui; Chenglong Zou; Yisong Kuang; Kanglin Xiao; Yi Zhong; Yuan Wang 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

BrainQN: Enhancing the Robustness of Deep Reinforcement Learning with Spiking Neural Networks. - Shuo Feng; Jian Cao 002; Zehong Ou; Guang Chen; Yi Zhong; Zilin Wang; Juntong Yan; Jue Chen; Bingsen Wang; Chenglong Zou; Zebang Feng; Yuan Wang 001 (Adv. Intell. Syst., 2024)

Editorial: Computer vision and image synthesis for neurological applications. - Chenglong Zou; Shounak Roychowdhury; Saim Rasheed; Raza Ali (Frontiers Comput. Neurosci., 2025)