Jia Cai

According to our database, Jia Cai authored at least 45 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LettuceDB: an integrated multi-omics database for cultivated lettuce.

Wenhui Zhou, Tao Yang, Liucui Zeng, Jing Chen, Yayu Wang, Xing Guo, Lijin You, Yiqun Liu, Wensi Du, Fan Yang, Cong Hua, Jia Cai, Theo van Hintum, Huan Liu, Ying Gu, Xiaofeng Wei, Tong Wei

Database J. Biol. Databases Curation, January, 2024

2023

Robust partially linear models for automatic structure discovery.

Yuxiang Han, Hong Chen, Tieliang Gong, Jia Cai, Hao Deng

Expert Syst. Appl., May, 2023

WAD-CMSN: Wasserstein distance-based cross-modal semantic network for zero-shot sketch-based image retrieval.

Guanglong Xu, Zhensheng Hu, Jia Cai

Int. J. Wavelets Multiresolution Inf. Process., March, 2023

Filter-Based Fault Detection and Isolation in Distributed Parameter Systems Modeled by Parabolic Partial Differential Equations.

Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan

IEEE Access, 2023

An End-to-End Dense Connected Heterogeneous Graph Convolutional Neural Network.

Ranhui Yan, Jia Cai

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multimodal emotion recognition based on long-distance modeling and multi-source data fusion.

Jia Cai, Yuhui Lin, Ruihong Ma

Proceedings of the International Conference on Computers, 2023

Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency.

Yuxiang Lan, Yachao Zhang, Yanyun Qu, Cong Wang, Chengyang Li, Jia Cai, Yuan Xie, Zongze Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Novel Biologically Inspired Approach for Clustering and Multi-Level Image Thresholding: Modified Harris Hawks Optimizer.

Jia Cai, Tianhua Luo, Guanglong Xu, Yi Tang

Cogn. Comput., 2022

Self-attention Based Multi-scale Graph Convolutional Networks.

Zhilong Xiong, Jia Cai

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Deep Heterogeneous Graph Neural Networks via Similarity Regularization Loss and Hierarchical Fusion.

Zhilong Xiong, Jia Cai

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

HKSR: A Research of Code-Switching Hong Kong Cantonese Speech Recognition Based on Multi-task Rescoring Strategy.

Yuting Huang, Bi Zeng, Zhentao Lin, Jia Cai

Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

Unsupervised Visual Representation Learning by Synchronous Momentum Grouping.

Bo Pang, Yifan Zhang, Yaoyi Li, Jia Cai, Cewu Lu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A memory neural system built based on spiking neural network.

Hu He, Qilin Wang, Xu Yang, Yunlin Lei, Jia Cai, Ning Deng

Neurocomputing, 2021

Multi-scale Graph Convolutional Networks with Self-Attention.

Zhilong Xiong, Jia Cai

CoRR, 2021

SStaGCN: Simplified stacking based graph convolutional networks.

Jia Cai, Zhilong Xiong, Shaogao Lv

CoRR, 2021

2020

Sketch-based image retrieval via CAT loss with elastic net regularization.

Jia Cai, Guanglong Xu, Zhensheng Hu

Math. Found. Comput., 2020

Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach.

Jia Cai, Kexin Lv, Junyi Huo, Xiaolin Huang, Jie Yang

CoRR, 2020

Generate High-Resolution Adversarial Samples by Identifying Effective Features.

Sizhe Chen, Peidong Zhang, Chengjin Sun, Jia Cai, Xiaolin Huang

CoRR, 2020

CNSA: a data repository for archiving omics data.

Xueqin Guo, Fengzhen Chen, Fei Gao, Ling Li, Ke Liu, Lijin You, Cong Hua, Fan Yang, Wanliang Liu, Chunhua Peng, Lina Wang, Xiaoxia Yang, Feiyu Zhou, Jiawei Tong, Jia Cai, Zhiyong Li, Bo Wan, Lei Zhang, Tao Yang, Minwen Zhang, Linlin Yang, Yawen Yang, Wenjun Zeng, Bo Wang, Xiaofeng Wei, Xun Xu

Database J. Biol. Databases Curation, 2020

Modified Grey Wolf Optimizer based Maximum Entropy Clustering Algorithm.

Jia Cai, Guanglong Xu, Wenwen Ye

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Type I Attack For Generative Models.

Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Extracting and Matching Lines of Low-Textured Region in Close-Range Navigation for Tethered Space Robot.

Lu Chen, Panfeng Huang, Jia Cai

IEEE Trans. Ind. Electron., 2019

ℓ₀-based sparse canonical correlation analysis with application to cross-language document retrieval.

Jia Cai, Wei Dan, Xiaowei Zhang

Neurocomputing, 2019

BAIFA: A Brightness Adaptive Image Fusion Algorithm for Robotic Visual Perception.

Jia Cai, Bi Zeng, Jianqi Liu, Xiuwen Yin, Li He

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Fault Detection and Estimation for a Class of Nonlinear Distributed Parameter Systems.

Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

CBConv: Service for Automatic Conversion of Chinese Characters into Braille with High Accuracy.

Xiangdong Wang, Jinghua Zhong, Jia Cai, Hong Liu, Yueliang Qian

Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility, 2019

2018

Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties.

Jia Cai, Xiaolin Huang

IEEE Trans. Neural Networks Learn. Syst., 2018

A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval.

Jia Cai, Yi Tang

Neural Networks, 2018

2017

Dexterous Tethered Space Robot: Design, Measurement, Control, and Experiment.

Panfeng Huang, Fan Zhang, Jia Cai, Dongke Wang, Zhongjie Meng, Jian Guo

IEEE Trans. Aerosp. Electron. Syst., 2017

Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective.

Jia Cai, Hongwei Sun

Neural Comput., 2017

Robust kernel canonical correlation analysis with applications to information retrieval.

Jia Cai, Xiaolin Huang

Eng. Appl. Artif. Intell., 2017

2016

Statistical consistency of coefficient-based conditional quantile regression.

Jia Cai, Dao-Hong Xiang

J. Multivar. Anal., 2016

Kernel canonical correlation analysis via gradient descent.

Jia Cai, Yi Tang, Jianjun Wang

Neurocomputing, 2016

Model-based fault detection, estimation, and prediction for a class of linear distributed parameter systems.

Jia Cai, Hasan Ferdowsi, Jagannathan Sarangapani

Autom., 2016

Fault isolation in distributed parameter systems modeled by parabolic partial differential equations.

Jia Cai, Sarangapani Jagannathan

Proceedings of the 2016 American Control Conference, 2016

2015

A TSR Visual Servoing System Based on a Novel Dynamic Template Matching Method.

Jia Cai, Panfeng Huang, Bin Zhang, Dongke Wang

Sensors, 2015

An operator approach to analysis of conditional kernel canonical correlation.

Jia Cai

Int. J. Wavelets Multiresolution Inf. Process., 2015

Object detection for noncooperative targets using HOG-based proposals.

Lu Chen, Panfeng Huang, Jia Cai

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

A fast detection method of arbitrary triangles for Tethered Space Robot.

Jia Cai, Panfeng Huang, Lu Chen, Bin Zhang

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

Model-based actuator fault accommodation for distributed parameter systems represented by coupled linear PDEs.

Jia Cai, Hasan Ferdowsi, Sarangapani Jagannathan

Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2014

Convergence Analysis of coefficient-Based Regularization under moment Incremental condition.

Cheng Wang, Jia Cai

Int. J. Wavelets Multiresolution Inf. Process., 2014

A fast circle detector of non-cooperative target for Tethered Space Robot.

Jia Cai, Panfeng Huang, Zhongjie Meng, Bin Zhang

Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

Model-based fault diagnosis and prediction for a class of distributed parameter systems.

Jia Cai, Hasan Ferdowsi, Sarangapani Jagannathan

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

The distance between feature subspaces of kernel canonical correlation analysis.

Jia Cai

Math. Comput. Model., 2013

2009

Gradient learning in a classification setting by gradient descent.

Jia Cai, Hongyan Wang, Ding-Xuan Zhou

J. Approx. Theory, 2009