SRDE: an improved differential evolution based on stochastic ranking. - Jinchao Liu; Zhun Fan; Erik D. Goodman (GEC Summit, 2009)

SRaDE: an adaptive differential evolution based on stochastic ranking. - Jinchao Liu; Zhun Fan; Erik D. Goodman (GECCO, 2009)

Using active contour models for feature extraction in camera-based seam tracking of arc welding. - Jinchao Liu; Zhun Fan; Søren I. Olsen; Kim Hardam Christensen; Jens Klæstrup Kristensen (IROS, 2009)

Improved Differential Evolution Based on Stochastic Ranking for Robust Layout Synthesis of MEMS Components. - Zhun Fan; Jinchao Liu; Torben Sørensen; Pan Wang (IEEE Trans. Ind. Electron., 2009)

Weld pool visual sensing without external illumination. - Jinchao Liu; Zhun Fan; Søren Ingvor Olsen; Kim Hardam Christensen; Jens Klæstrup Kristensen (CASE, 2011)

A real-time passive vision system for robotic arc welding. - Jinchao Liu; Zhun Fan; Søren Ingvor Olsen; Kim Hardam Christensen; Jens Klæstrup Kristensen (CASE, 2015)

Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution. - Jinchao Liu; Margarita Osadchy; Lorna Ashton; Michael Foster 002; Christopher J. Solomon; Stuart J. Gibson (CoRR, 2017)

Boosting Active Contours for Weld Pool Visual Tracking in Automatic Arc Welding. - Jinchao Liu; Zhun Fan; Søren Ingvor Olsen; Kim Hardam Christensen; Jens Klæstrup Kristensen (IEEE Trans Autom. Sci. Eng., 2017)

Dynamic Spectrum Matching with One-shot Learning. - Jinchao Liu; Stuart J. Gibson; James Mills; Margarita Osadchy (CoRR, 2018)

Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning. - Jinchao Liu; Stuart J. Gibson; Margarita Osadchy (CoRR, 2018)

LSHR-Net: A hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network. - Fangliang Bai; Jinchao Liu; Xiaojuan Liu; Margarita Osadchy; Chao Wang 074; Stuart J. Gibson (Neurocomputing, 2020)

Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm. - Jiahong Wei; Guijie Zhu; Zhun Fan; Jinchao Liu; Yibiao Rong; Jiajie Mo; Wenji Li; Xinjian Chen 001 (IEEE Trans. Medical Imaging, 2022)

Research on the Application of Marine Multi-Modal Big Data in Maritime Law Enforcement. - Jinchao Liu; Li Zhu; Zhihong Du; Chao Yu (CAIBDA, 2023)

Applications of Deep Learning in Satellite Communication: A Survey. - Yuanzhi He; Biao Sheng; Yuan Li 049; Changxu Wang; Xiang Chen; Jinchao Liu (SINC, 2023)

A QoS Guaranteed Routing Framework based on Software-Defined Satellite Networks. - Yuanzhi He; Zhenyu Niu; Jinchao Liu (ICCT, 2024)

Mind the Gap: Learning Modality-Agnostic Representations With a Cross-Modality UNet. - Xin Niu; Enyi Li; Jinchao Liu; Yan Wang 084; Margarita Osadchy; Yongchun Fang (IEEE Trans. Image Process., 2024)

Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers. - Yingying Wu; Jinchao Liu; Yan Wang 084; Stuart J. Gibson; Margarita Osadchy; Yongchun Fang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)