When Most Quickly Developing Technique Meets with Most Quickly Developing Country: Towards Understanding Internet in China. - Yun Tang; Lifeng Sun; Hai Qin; Shiqiang Yang; Yuzhuo Zhong (CSREA EEE, 2006)

Implementation and Verification of a High-Throughput Reconfigurable MIMO Detector. - Zhen Wang 019; Hai Qin; Yu Gong; Bo Liu 019 (CyberC, 2017)

Design and Optimization of Reconfigurable Data Path for Communication Baseband Signal Processing. - Shan-shan Zhu; Hai Qin; Bo Liu 019; Jun Yang 006 (CyberC, 2018)

An Energy-efficient Reconfigurable Hybrid DNN Architecture for Speech Recognition with Approximate Computing. - Bo Liu 019; Shisheng Guo; Hai Qin; Yu Gong; Jinjiang Yang; Wei Ge; Jun Yang 006 (DSP, 2018)

EERA-ASR: An Energy-Efficient Reconfigurable Architecture for Automatic Speech Recognition With Hybrid DNN and Approximate Computing. - Bo Liu 019; Hai Qin; Yu Gong; Wei Ge; Mengwen Xia; Longxing Shi (IEEE Access, 2018)

A Data-driven Fault Prediction Integrated Design Scheme Based on Ensemble Learning for Thermal Boiler Process. - Hai Qin; Shen Yin; Tianyi Gao; Hao Luo 003 (ICIT, 2020)

Active Learning-DETR: Cost-Effective Object Detection for Kitchen Waste. - Hai Qin; Liye Shu; Li Zhou; Songyun Deng; Haihua Xiao; Wei Sun 028; Qiaokang Liang; Dan Zhang 006; Yaonan Wang 001 (IEEE Trans. Instrum. Meas., 2024)

Efficient Real-Time Recognition Model of Plant Diseases for Low-Power Consumption Platform. - Songyun Deng; Wanneng Wu; Kunlin Zou; Hai Qin; Lekai Cheng; Qiaokang Liang (IEEE Trans. Artif. Intell., 2024)

MHA-DGCLN: multi-head attention-driven dynamic graph convolutional lightweight network for multi-label image classification of kitchen waste. - Qiaokang Liang; Jintao Li; Hai Qin; Mingfeng Liu; Xiao Xiao; Dongbo Zhang 003; Yaonan Wang 001; Dan Zhang 006 (Appl. Intell., 2024)

An Efficient Generative Intelligent Multiobjective Grasping Model for Kitchen Waste Sorting. - Songyun Deng; Ruiyuan Pei; Li Zhou; Hai Qin; Wei Sun 028; Qiaokang Liang (IEEE Trans. Instrum. Meas., 2025)

MCS-ResNet: A Generative Robot Grasping Network Based on RGB-D Fusion. - Ruiyuan Pei; Songyun Deng; Li Zhou; Hai Qin; Qiaokang Liang (IEEE Trans. Instrum. Meas., 2025)