Attributed Rhetorical Structure Grammar for Domain Text Summarization. - Ruqian Lu; Shengluan Hou; Chuanqing Wang; Yu Huang; Chaoqun Fei; Songmao Zhang (CoRR, 2019)

B-SPARQL: A typed language for Querying the Big Knowledge. - Ruqian Lu; Chuanqing Wang; Xikun Huang; Songmao Zhang (ICKG, 2020)

HAPE: A programmable big knowledge graph platform. - Ruqian Lu; Chaoqun Fei; Chuanqing Wang; Shunfeng Gao; Han Qiu 001; Songmao Zhang; Cungen Cao 001 (Inf. Sci., 2020)

Temporal Analysis of Knowledge Networks. - Xikun Huang; Chuanqing Wang; Qilin Sun 002; Yangyang Li; Weizhuo Li (ICBK, 2021)

YABKO-Yet Another Big Knowledge Organization. - Ruqian Lu; Chaoqun Fei; Chuanqing Wang; Yu Huang; Songmao Zhang (ICBK, 2021)

A Survey of Text Summarization Approaches Based on Deep Learning. - Shengluan Hou; Xi-Kun Huang; Chaoqun Fei; Shu-Han Zhang; Yang-Yang Li; Qilin Sun 002; Chuanqing Wang (J. Comput. Sci. Technol., 2021)

Labeled Knowledge-Based Decision Making with Assumption-Based Argumentation. - Chuanqing Wang; Yangyang Li; Chaoqun Fei; Xikun Huang (KSEM (1), 2022)

Effects of vent opening, wind speed, and crop height on microenvironment in three-span arched greenhouse under natural ventilation. - Xin Lyu; Yuqing Xu; Min Wei; Chuanqing Wang; Guanshan Zhang; Shaojie Wang (Comput. Electron. Agric., 2022)

NeuroSEE: A Neuromorphic Energy-Efficient Processing Framework for Visual Prostheses. - Chuanqing Wang; Jie Yang 033; Mohamad Sawan (IEEE J. Biomed. Health Informatics, 2022)

Fault detection and isolation for a class of uncertain nonlinear systems: A dual-monitoring model-based approach. - Hupo Ouyang; Erbo Zou; Chuanqing Wang; Yan Lin (J. Frankl. Inst., 2023)

A 510 $ mu$W 0.738-mm$^{2}$ 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor With Unified Computation Engine in 40-nm CMOS. - Chaoming Fang; Chuanqing Wang; Shiqi Zhao; Fengshi Tian; Jie Yang 033; Mohamad Sawan (IEEE Trans. Biomed. Circuits Syst., 2023)

SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses. - Chuanqing Wang; Chaoming Fang; Yong Zou; Jie Yang 033; Mohamad Sawan (Neural Networks, 2023)

Geometry Flow-Based Deep Riemannian Metric Learning. - Yangyang Li; Chaoqun Fei; Chuanqing Wang; Hongming Shan; Ruqian Lu (IEEE CAA J. Autom. Sinica, 2023)

A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array. - Chaoming Fang; Ziyang Shen; Shiqi Zhao; Chuanqing Wang; Fengshi Tian; Jie Yang 033; Mohamad Sawan (CICC, 2024)

Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses. - Chuanqing Wang; Di Wu 057; Chaoming Fang; Jie Yang 033; Mohamad Sawan (ICLR, 2024)

HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things. - Shiqi Zhao; Chuanqing Wang; Chaoming Fang; Fengshi Tian; Jie Yang 033; Mohamad Sawan (IEEE Trans. Biomed. Circuits Syst., 2024)

An Energy-Efficient Unstructured Sparsity-Aware Deep SNN Accelerator With 3-D Computation Array. - Chaoming Fang; Ziyang Shen; Zongsheng Wang; Chuanqing Wang; Shiqi Zhao; Fengshi Tian; Jie Yang 033; Mohamad Sawan (IEEE J. Solid State Circuits, 2025)