Pulse Feature Extraction Based on Improved Gaussian Model. - Guangming Lu; Zhixing Jiang; Liying Ye; Yaotian Huang (ICMB, 2014)

Radial artery pulse waveform analysis based on curve fitting using discrete Fourier series. - Zhixing Jiang; David Zhang 001; Guangming Lu 002 (Comput. Methods Programs Biomed., 2019)

A Robust Wrist Pulse Acquisition System Based on Multisensor Collaboration and Signal Quality Assessment. - Zhixing Jiang; David Zhang 001; Guangming Lu 002 (IEEE Trans. Instrum. Meas., 2019)

Features fusion of multichannel wrist pulse signal based on KL-MGDCCA and decision level combination. - Zhixing Jiang; Chaoxun Guo; Jin Zang; Guangming Lu 002; David Zhang 001 (Biomed. Signal Process. Control., 2020)

Wrist pulse signal acquisition and analysis for disease diagnosis: A review. - Chaoxun Guo; Zhixing Jiang; Haoze He; Yining Liao; David Zhang 001 (Comput. Biol. Medicine, 2022)

Pressure wrist pulse signal analysis by sparse decomposition using improved Gabor function. - Zhixing Jiang; Chaoxun Guo; David Zhang 001 (Comput. Methods Programs Biomed., 2022)

BESS: Balanced evolutionary semi-stacking for disease detection using partially labeled imbalanced data. - Zhihan Ning; Ziqing Ye; Zhixing Jiang; David Zhang 001 (Inf. Sci., 2022)

Multi-Feature Complementary Learning for Diabetes Mellitus Detection Using Pulse Signals. - Chaoxun Guo; Zhixing Jiang; David Zhang 001 (IEEE J. Biomed. Health Informatics, 2022)

Reliability of Memristive Devices for High-Performance Neuromorphic Computing: (Invited Paper). - Yue Xi; Xinyi Li; Junhao Chen; Ruofei Hu; Qingtian Zhang; Zhixing Jiang; Feng Xu; Jianshi Tang (IRPS, 2023)

M2SH: A Hybrid Approach to Table Structure Recognition using Two-Stage Multi-Modality Feature Fusion. - Weilong Zhang; Chongyang Zhang; Zhihan Ning; Guopeng Wang; Yingjie Bai; Zhixing Jiang; David Zhang 001 (SMC, 2023)

DREAMPlaceFPGA-MP: An Open-Source GPU-Accelerated Macro Placer for Modern FPGAs with Cascade Shapes and Region Constraints. - Zhili Xiong; Rachel Selina Rajarathnam; Zhixing Jiang; Hanqing Zhu; David Z. Pan (CoRR, 2023)

MDFN: Mask deep fusion network for visible and infrared image fusion without reference ground-truth. - Chaoxun Guo; Dandan Fan; Zhixing Jiang; David Zhang 001 (Expert Syst. Appl., 2023)

Sparse projection infinite selection ensemble for imbalanced classification. - Zhihan Ning; Zhixing Jiang; David Zhang 001 (Knowl. Based Syst., 2023)

Multiple color representation and fusion for diabetes mellitus diagnosis based on back tongue images. - Nannan Zhang; Zhixing Jiang; Jinxing Li; David Zhang 001 (Comput. Biol. Medicine, 2023)

An RRAM retention prediction framework using a convolutional neural network based on relaxation behavior. - Yibei Zhang; Qingtian Zhang; Qi Qin; Wenbin Zhang; Yue Xi; Zhixing Jiang; Jianshi Tang; Bin Gao 006; He Qian; Huaqiang Wu (Neuromorph. Comput. Eng., 2023)

Statistical Modeling of Time-Dependent Post-Programming Conductance Drift in Analog RRAM. - Ruofei Hu; Jianshi Tang; Yue Xi; Zhixing Jiang; Yuyao Lu; Chengxiang Ma; Junchen Li; Bin Gao 006; He Qian; Huaqiang Wu (IRPS, 2024)

Ultra Fast Transformers on FPGAs for Particle Physics Experiments. - Zhixing Jiang; Dennis Yin; Elham E Khoda; Vladimir Loncar; Ekaterina Govorkova; Eric A. Moreno; Philip C. Harris; Scott Hauck; Shih-Chieh Hsu (CoRR, 2024)

Photonic-Electronic Integrated Circuits for High-Performance Computing and AI Accelerator. - Shupeng Ning; Hanqing Zhu; Chenghao Feng; Jiaqi Gu 002; Zhixing Jiang; Zhoufeng Ying; Jason Midkiff; Sourabh Jain; May H. Hlaing; David Z. Pan; Ray T. Chen (CoRR, 2024)

Low Latency Transformer Inference on FPGAs for Physics Applications with hls4ml. - Zhixing Jiang; Dennis Yin; Yihui Chen; Elham E Khoda; Scott Hauck; Shih-Chieh Hsu; Ekaterina Govorkova; Philip C. Harris; Vladimir Loncar; Eric A. Moreno (CoRR, 2024)

A novel multi-feature learning model for disease diagnosis using face skin images. - Nannan Zhang; Zhixing Jiang; Mu Li 005; David Zhang 001 (Comput. Biol. Medicine, 2024)

To Combat Multiclass Imbalanced Problems by Aggregating Evolutionary Hierarchical Classifiers. - Zhihan Ning; Zhixing Jiang; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Exploiting Meta-Learned Confidences for Imbalanced Multilabel Learning. - Zhihan Ning; Zhixing Jiang; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)