An Implementation of SOPC-Based Neural Monitoring System. - Qijun Huang; Sheng Chang; Junqi Peng; Xueying Mao; You Zhou; Hao Wang 046 (IEEE Trans. Instrum. Meas., 2012)

A 150-GHz push-push VCO in 0.13-μm SiGe BiCMOS. - Jiang Luo; Jin He 002; Hao Wang 046; Sheng Chang; Qijun Huang; Yong-Zhong Xiong (ISIC, 2014)

Fast reconstruction with adaptive sampling in block compressed imaging. - Jun Luo; Qijun Huang; Sheng Chang; Hao Wang 046 (IEICE Electron. Express, 2014)

Hardware efficient architecture for compressed imaging. - Jun Luo; Qijun Huang; Sheng Chang; Hao Wang 046 (IEICE Electron. Express, 2014)

High Precision Multicolorimetric Pyrometer With a Novel Photoelectric MOSFET. - Sheng Chang; Qijun Huang; Hao Wang 046; Mincai He; Feng Dai (IEEE Trans. Instrum. Meas., 2014)

Fully integrated pseudo differential K-band power amplifier in 0.13um standard CMOS. - Pengwei Chen; Jin He 002; Jiang Luo; Hao Wang 046; Sheng Chang; Qijun Huang; Hao Yu 001; Xiaopeng Yu (ISIC, 2016)

Novel Near-Lossless Compression Algorithm for Medical Sequence Images with Adaptive Block-Based Spatial Prediction. - Xiaoying Song; Qijun Huang; Sheng Chang; Jin He 002; Hao Wang 046 (J. Digit. Imaging, 2016)

A D-band SPST switch using parallel-stripline swap with defected ground structure. - Jiang Luo; Jin He 002; Alit Apriyana; Guangyin Feng; Qijun Huang (IEICE Electron. Express, 2017)

Three-dimensional separate descendant-based SPIHT algorithm for fast compression of high-resolution medical image sequences. - Xiaoying Song; Qijun Huang; Sheng Chang; Jin He 002; Hao Wang 046 (IET Image Process., 2017)

Tunable Surface-Plasmon-Polariton Filter Constructed By Corrugated Metallic Line and High Permittivity Material. - Jiang Luo; Jin He 002; Alit Apriyana; Guangyin Feng; Qijun Huang; Yue Ping Zhang (IEEE Access, 2018)

A D-Band Amplifier in 65 nm Bulk CMOS for Short-Distance Data Center Communication. - Jiang Luo; Jin He 002; Guangyin Feng; Alit Apriyana; Ya Fang; Zhe Xue; Qijun Huang; Hao Yu 001 (IEEE Access, 2018)

Multiple-feature-branch convolutional neural network for myocardial infarction diagnosis using electrocardiogram. - Wenhan Liu; Qijun Huang; Sheng Chang; Hao Wang 046; Jin He 002 (Biomed. Signal Process. Control., 2018)

Micro-Strip Line 90∘ Phase Shifter with Double Ground Slots for D-Band Applications. - Jiang Luo; Jin He 002; Pengwei Chen; Hao Wang 046; Sheng Chang; Qijun Huang; Xurui Mao; Yueping Zhang (J. Circuits Syst. Comput., 2018)

Lossless medical image compression using geometry-adaptive partitioning and least square-based prediction. - Xiaoying Song; Qijun Huang; Sheng Chang; Jin He 002; Hao Wang 046 (Medical Biol. Eng. Comput., 2018)

Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection. - Wenhan Liu; Mengxin Zhang; Yidan Zhang; Yuan Liao; Qijun Huang; Sheng Chang; Hao Wang 046; Jin He 002 (IEEE J. Biomed. Health Informatics, 2018)

A K-Band High-Gain and Low-Noise Folded CMOS Mixer Using Current-Reuse and Cross-Coupled Techniques. - Yao Peng; Jin He 002; Haomin Hou; Hao Wang 046; Sheng Chang; Qijun Huang; Yinxia Zhu (IEEE Access, 2019)

Acceleration of LSTM With Structured Pruning Method on FPGA. - Shaorun Wang; Peng Lin; Ruihan Hu; Hao Wang 046; Jin He 002; Qijun Huang; Sheng Chang (IEEE Access, 2019)

Influence of Compact Memristors' Stability on Machine Learning. - Ruohua Zhu; Shizhuo Ye; Zhiri Tang; Peng Lin; Qijun Huang; Hao Wang 046; Jin He 002; Sheng Chang (IEEE Access, 2019)

The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction. - Ruihan Hu; Qijun Huang; Sheng Chang; Hao Wang 046; Jin He 002 (Appl. Intell., 2019)

A novel ECG signal compression method using spindle convolutional auto-encoder. - Fei Wang; Qiming Ma; Wenhan Liu; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Comput. Methods Programs Biomed., 2019)

Fully Memristive Spiking-Neuron Learning Framework and its Applications on Pattern Recognition and Edge Detection. - Zhiri Tang; Yanhua Chen; Shizhuo Ye; Ruihan Hu; Qijun Huang; Sheng Chang (CoRR, 2019)

Fully Memristive Neural Network Merging Image Preprocessing and Pattern Recognition. - Zhiri Tang; Yanhua Chen; Ruihan Hu; Ruohua Zhu; Hao Wang 046; Jin He 002; Qijun Huang; Sheng Chang (CoRR, 2019)

Non-Spike Timing-Dependent Plasticity based Unsupervised Memristive Neural Networks with High Hardware Compatibility. - Zhiri Tang; Yanhua Chen; Hao Wang 046; Jin He 002; Qijun Huang; Sheng Chang (CoRR, 2019)

Monitor-Based Spiking Recurrent Network for the Representation of Complex Dynamic Patterns. - Ruihan Hu; Qijun Huang; Hao Wang 046; Jin He 002; Sheng Chang (Int. J. Neural Syst., 2019)

A hardware friendly unsupervised memristive neural network with weight sharing mechanism. - Zhiri Tang; Ruohua Zhu; Peng Lin; Jin He 002; Hao Wang 046; Qijun Huang; Sheng Chang; Qiming Ma (Neurocomputing, 2019)

Design of high-resolution quantization scheme with exp-Golomb code applied to compression of special images. - Xiaoying Song; Bing Liu; Qijun Huang; Ruihan Hu (J. Vis. Commun. Image Represent., 2019)

A 10-Gb/s inductorless optical receiver in 0.18-μm SiGe BiCMOS. - Zhe Xue; Jin He 002; Ya Fang; Hao Wang 046; Sheng Chang; Qijun Huang; Yinxia Zhu (Microelectron. J., 2019)

SpikeCD: a parameter-insensitive spiking neural network with clustering degeneracy strategy. - Peng Lin; Sheng Chang; Hao Wang 046; Qijun Huang; Jin He 002 (Neural Comput. Appl., 2019)

Efficient Multispike Learning for Spiking Neural Networks Using Probability-Modulated Timing Method. - Ruihan Hu; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multi-information fusion neural networks for arrhythmia automatic detection. - Aiyun Chen; Fei Wang; Wenhan Liu; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Comput. Methods Programs Biomed., 2020)

Fully memristive spiking-neuron learning framework and its applications on pattern recognition and edge detection. - Zhiri Tang; Yanhua Chen; Shizhuo Ye; Ruihan Hu; Hao Wang 046; Jin He 002; Qijun Huang; Sheng Chang (Neurocomputing, 2020)

Asia-Pacific Lightning Location Network (APLLN) and Preliminary Performance Assessment. - Jiaquan Wang; Qiming Ma; Xiao Zhou; Fang Xiao; Shangbo Yuan; Sheng Chang; Jin He 002; Hao Wang 046; Qijun Huang (Remote. Sens., 2020)

A Real Time QRS Detection Algorithm Based on ET and PD Controlled Threshold Strategy. - Aiyun Chen; Yidan Zhang; Mengxin Zhang; Wenhan Liu; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Sensors, 2020)

Classification of VLF/LF Lightning Signals Using Sensors and Deep Learning Methods. - Jiaquan Wang; Qijun Huang; Qiming Ma; Sheng Chang; Jin He 002; Hao Wang 046; Xiao Zhou; Fang Xiao; Chao Gao (Sensors, 2020)

MFB-CBRNN: A Hybrid Network for MI Detection Using 12-Lead ECGs. - Wenhan Liu; Fei Wang; Qijun Huang; Sheng Chang; Hao Wang 046; Jin He 002 (IEEE J. Biomed. Health Informatics, 2020)

A K-band high-gain power amplifier with slow-wave transmission-line transformer in 130-nm RF CMOS. - Haomin Hou; Jin He 002; Junren Pan; Hao Wang 046; Sheng Chang; Qijun Huang; Yinxia Zhu (Int. J. Circuit Theory Appl., 2021)

A 25-Gb/s inductorless SiGe BiCMOS receiver for 100-Gb/s optical links. - Shuo Li; Junren Pan; Jin He 002; Zhiyuan Cao; Hao Wang 046; Sheng Chang; Qijun Huang (Integr., 2021)

DMMAN: A two-stage audio-visual fusion framework for sound separation and event localization. - Ruihan Hu; Songbin Zhou; Zhi-Ri Tang; Sheng Chang; Qijun Huang; Yisen Liu; Wei Han; Edmond Qi Wu (Neural Networks, 2021)

A Multilayer Neural Network Merging Image Preprocessing and Pattern Recognition by Integrating Diffusion and Drift Memristors. - Zhiri Tang; Ruohua Zhu; Ruihan Hu; Yanhua Chen; Edmond Qi Wu; Hao Wang 046; Jin He 002; Qijun Huang; Sheng Chang (IEEE Trans. Cogn. Dev. Syst., 2021)

A Multi-Classification Hybrid Quantum Neural Network Using an All-Qubit Multi-Observable Measurement Strategy. - Yi Zeng; Hao Wang 046; Jin He 002; Qijun Huang; Sheng Chang (Entropy, 2022)

Lead Separation and Combination: A Novel Unsupervised 12-Lead ECG Feature Learning Framework for Internet of Medical Things. - Wenhan Liu; Qianxi Guo; Xinwei Gao; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE Internet Things J., 2022)

A reconfigurable millimeter-wave wideband low-noise amplifier in 55-nm CMOS. - Wei Zhang; Dongqin Deng; Jialong Wan; Hao Wang 046; Sheng Chang; Qijun Huang; Jin He 002 (Microelectron. J., 2022)

A joint cross-dimensional contrastive learning framework for 12-lead ECGs and its heterogeneous deployment on SoC. - Wenhan Liu; Huaicheng Zhang; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Comput. Biol. Medicine, 2023)

A 28-GHz wideband power amplifier with dual-pole tuning superposition technique in 55-nm RF CMOS. - Yunan Zhao; Haomin Hou; Shuhao Zhang 012; Hao Wang 046; Sheng Chang; Qijun Huang; Jin He 002 (Integr., 2023)

MaeFE: Masked Autoencoders Family of Electrocardiogram for Self-Supervised Pretraining and Transfer Learning. - Huaicheng Zhang; Wenhan Liu; Jiguang Shi; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE Trans. Instrum. Meas., 2023)

Dense lead contrast for self-supervised representation learning of multilead electrocardiograms. - Wenhan Liu; Zhoutong Li; Huaicheng Zhang; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Inf. Sci., 2023)

Graph machine learning framework for depicting wavefunction on interface. - Ao Wu; Li Liu; Zifeng Wang 012; Shurong Pan; Jiangxue Huang; Qijun Huang; Jin He 002; Hao Wang 046; Sheng Chang (Mach. Learn. Sci. Technol., 2023)

CELL: Supplementing Context for Multi-modal Few-shot Cardiologist. - Huaicheng Zhang; Jiguang Shi; Yue Ge; Sheng Chang; Hao Wang 046; Qijun Huang (BIBM, 2024)

Universal 12-lead ECG representation for signal denoising and cardiovascular disease detection by fusing generative and contrastive learning. - Jiguang Shi; Wenhan Liu; Huaicheng Zhang; Zhoutong Li; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Biomed. Signal Process. Control., 2024)

Bootstrap each lead's latent: A novel method for self-supervised learning of multilead electrocardiograms. - Wenhan Liu; Shurong Pan; Zhoutong Li; Sheng Chang; Qijun Huang; Nan Jiang 013 (Comput. Methods Programs Biomed., 2024)

CPSS: Fusing consistency regularization and pseudo-labeling techniques for semi-supervised deep cardiovascular disease detection using all unlabeled electrocardiograms. - Jiguang Shi; Wenhan Liu; Huaicheng Zhang; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Comput. Methods Programs Biomed., 2024)

DDDG: A dual bi-directional knowledge distillation method with generative self-supervised pre-training and its hardware implementation on SoC for ECG. - Huaicheng Zhang; Wenhan Liu; Qianxi Guo; Jiguang Shi; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Expert Syst. Appl., 2024)

An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection. - Jiguang Shi; Zhoutong Li; Wenhan Liu; Huaicheng Zhang; Deyu Luo; Yue Ge; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Inf. Sci., 2024)

Honest-GE: 2-step heuristic optimization and node-level embedding empower spatial-temporal graph model for ECG. - Huaicheng Zhang; Wenhan Liu; Deyu Luo; Jiguang Shi; Qianxi Guo; Yue Ge; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Inf. Sci., 2024)

Learning Representations for Multilead Electrocardiograms From Morphology-Rhythm Contrast. - Wenhan Liu; Huaicheng Zhang; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE Trans. Instrum. Meas., 2024)

ST-ReGE: A Novel Spatial-Temporal Residual Graph Convolutional Network for CVD. - Huaicheng Zhang; Wenhan Liu; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE J. Biomed. Health Informatics, 2024)

SIGxCL: A Signal-Image-Graph Cross-Modal Contrastive Learning Framework for CVD Diagnosis Based on Internet of Medical Things. - Huaicheng Zhang; Wenhan Liu; Zhoutong Li; Jiguang Shi; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE Internet Things J., 2024)

Self-supervised learning for Electrocardiogram classification using Lead Correlation and Decorrelation. - Wenhan Liu; Shurong Pan; Sheng Chang; Qijun Huang; Nan Jiang 013 (Appl. Soft Comput., 2025)

Lead-fusion Barlow twins: A fused self-supervised learning method for multi-lead electrocardiograms. - Wenhan Liu; Shurong Pan; Zhoutong Li; Sheng Chang; Qijun Huang; Nan Jiang 013 (Inf. Fusion, 2025)

JAMC: A jigsaw-based autoencoder with masked contrastive learning for cardiovascular disease diagnosis. - Yue Ge; Huaicheng Zhang; Jiguang Shi; Deyu Luo; Sheng Chang; Jin He 002; Qijun Huang; Hao Wang 046 (Knowl. Based Syst., 2025)

Direct Lead Assignment: A Simple and Scalable Contrastive Learning Method for ECG and Its IoMT Applications. - Wenhan Liu; Shurong Pan; Sheng Chang; Qijun Huang; Nan Jiang 013 (IEEE Internet Things J., 2025)

A High-Performance Pixel-Level Fully Pipelined Hardware Accelerator for Neural Networks. - Zhan Li; Zhihan Zhang; Jie Hu; Qunkang Meng; Xingyu Shi; Jun Luo; Hao Wang 046; Qijun Huang; Sheng Chang (IEEE Trans. Neural Networks Learn. Syst., 2025)