Gradient learning in a classification setting by gradient descent. - Jia Cai; Hongyan Wang; Ding-Xuan Zhou (J. Approx. Theory, 2009)

The distance between feature subspaces of kernel canonical correlation analysis. - Jia Cai (Math. Comput. Model., 2013)

Model-based fault diagnosis and prediction for a class of distributed parameter systems. - Jia Cai; Hasan Ferdowsi; Sarangapani Jagannathan (CDC, 2014)

A fast circle detector of non-cooperative target for Tethered Space Robot. - Jia Cai; Panfeng Huang; Zhongjie Meng; Bin Zhang (ROBIO, 2014)

Convergence Analysis of coefficient-Based Regularization under moment Incremental condition. - Cheng Wang; Jia Cai (Int. J. Wavelets Multiresolution Inf. Process., 2014)

Model-based actuator fault accommodation for distributed parameter systems represented by coupled linear PDEs. - Jia Cai; Hasan Ferdowsi; Sarangapani Jagannathan (CCA, 2015)

A fast detection method of arbitrary triangles for Tethered Space Robot. - Jia Cai; Panfeng Huang; Lu Chen 003; Bin Zhang (ROBIO, 2015)

Object detection for noncooperative targets using HOG-based proposals. - Lu Chen 003; Panfeng Huang; Jia Cai (ROBIO, 2015)

An operator approach to analysis of conditional kernel canonical correlation. - Jia Cai (Int. J. Wavelets Multiresolution Inf. Process., 2015)

A TSR Visual Servoing System Based on a Novel Dynamic Template Matching Method. - Jia Cai; Panfeng Huang; Bin Zhang; Dongke Wang (Sensors, 2015)

Fault isolation in distributed parameter systems modeled by parabolic partial differential equations. - Jia Cai; Sarangapani Jagannathan (ACC, 2016)

Model-based fault detection, estimation, and prediction for a class of linear distributed parameter systems. - Jia Cai; Hasan Ferdowsi; Jagannathan Sarangapani (Autom., 2016)

Kernel canonical correlation analysis via gradient descent. - Jia Cai; Yi Tang 003; Jianjun Wang 003 (Neurocomputing, 2016)

Statistical consistency of coefficient-based conditional quantile regression. - Jia Cai; Dao-Hong Xiang (J. Multivar. Anal., 2016)

Robust kernel canonical correlation analysis with applications to information retrieval. - Jia Cai; Xiaolin Huang (Eng. Appl. Artif. Intell., 2017)

Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective. - Jia Cai; Hongwei Sun (Neural Comput., 2017)

Dexterous Tethered Space Robot: Design, Measurement, Control, and Experiment. - Panfeng Huang; Fan Zhang 031; Jia Cai; Dongke Wang; Zhongjie Meng; Jian Guo (IEEE Trans. Aerosp. Electron. Syst., 2017)

A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval. - Jia Cai; Yi Tang 003 (Neural Networks, 2018)

Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties. - Jia Cai; Xiaolin Huang (IEEE Trans. Neural Networks Learn. Syst., 2018)

CBConv: Service for Automatic Conversion of Chinese Characters into Braille with High Accuracy. - Xiangdong Wang; Jinghua Zhong; Jia Cai; Hong Liu 007; Yueliang Qian (ASSETS, 2019)

Fault Detection and Estimation for a Class of Nonlinear Distributed Parameter Systems. - Hasan Ferdowsi; Jia Cai; Sarangapani Jagannathan (ICPHM, 2019)

BAIFA: A Brightness Adaptive Image Fusion Algorithm for Robotic Visual Perception. - Jia Cai; Bi Zeng; Jianqi Liu; Xiuwen Yin; Li He (ROBIO, 2019)

ℓ0-based sparse canonical correlation analysis with application to cross-language document retrieval. - Jia Cai; Wei Dan; Xiaowei Zhang 002 (Neurocomputing, 2019)

Extracting and Matching Lines of Low-Textured Region in Close-Range Navigation for Tethered Space Robot. - Lu Chen 003; Panfeng Huang; Jia Cai (IEEE Trans. Ind. Electron., 2019)

Type I Attack For Generative Models. - Chengjin Sun; Sizhe Chen; Jia Cai; Xiaolin Huang (ICIP, 2020)

Modified Grey Wolf Optimizer based Maximum Entropy Clustering Algorithm. - Jia Cai; Guanglong Xu; Wenwen Ye (IJCNN, 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 035; Wanliang Liu; Chunhua Peng; Lina Wang; Xiaoxia Yang; et al. (Database J. Biol. Databases Curation, 2020)

Generate High-Resolution Adversarial Samples by Identifying Effective Features. - Sizhe Chen; Peidong Zhang; Chengjin Sun; Jia Cai; Xiaolin Huang (CoRR, 2020)

Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach. - Jia Cai; Kexin Lv; Junyi Huo; Xiaolin Huang; Jie Yang 002 (CoRR, 2020)

Sketch-based image retrieval via CAT loss with elastic net regularization. - Jia Cai; Guanglong Xu; Zhensheng Hu (Math. Found. Comput., 2020)

SStaGCN: Simplified stacking based graph convolutional networks. - Jia Cai; Zhilong Xiong; Shaogao Lv (CoRR, 2021)

Multi-scale Graph Convolutional Networks with Self-Attention. - Zhilong Xiong; Jia Cai (CoRR, 2021)

A memory neural system built based on spiking neural network. - Hu He 001; Qilin Wang; Xu Yang 003; Yunlin Lei; Jia Cai; Ning Deng 008 (Neurocomputing, 2021)

Unsupervised Visual Representation Learning by Synchronous Momentum Grouping. - Bo Pang 003; Yifan Zhang; Yaoyi Li; Jia Cai; Cewu Lu (ECCV (30), 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 (ICCT, 2022)

Deep Heterogeneous Graph Neural Networks via Similarity Regularization Loss and Hierarchical Fusion. - Zhilong Xiong; Jia Cai (ICDM (Workshops), 2022)

Self-attention Based Multi-scale Graph Convolutional Networks. - Zhilong Xiong; Jia Cai (ICONIP (1), 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)

Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency. - Yuxiang Lan; Yachao Zhang 001; Yanyun Qu; Cong Wang 039; Chengyang Li; Jia Cai; Yuan Xie 006; Zongze Wu 001 (AAAI, 2023)

Multimodal emotion recognition based on long-distance modeling and multi-source data fusion. - Jia Cai; Yuhui Lin; Ruihong Ma (CIPAE, 2023)

An End-to-End Dense Connected Heterogeneous Graph Convolutional Neural Network. - Ranhui Yan; Jia Cai (ICONIP (1), 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)

A novel multi-level image segmentation algorithm via random opposition learning-based Aquila optimizer. - Jia Cai; Tianhua Luo; Zhilong Xiong; Yi Tang (Int. J. Wavelets Multiresolution Inf. Process., 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., 2023)

Robust partially linear models for automatic structure discovery. - Yuxiang Han; Hong Chen 004; Tieliang Gong; Jia Cai; Hao Deng (Expert Syst. Appl., 2023)

Performance Optimization in the Cascade of VAD and ASR Systems: A Study on Evaluation and Alignment Strategies. - Zhentao Lin; Zihao Chen; Bi Zeng; Leqi Chen; Jia Cai (APSIPA, 2024)

Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation. - Ranhui Yan; Jia Cai (ICANN (5), 2024)

EMGL: Enhancing Mandarin-English Code-Switching Speech Recognition using Generative Labeling Technique. - Zhentao Lin; Zihao Chen; Bi Zeng; Shengyu Wei; Jia Cai; Shang Xiao (ICCT, 2024)

Instruct-Code-Llama: Improving Capabilities of Language Model in Competition Level Code Generation by Online Judge Feedback. - Zhaofeng Liu; Jing Su; Jia Cai; Jingzhi Yang; Chenfan Wu (ICIC (LNAI 3), 2024)

Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification. - Zhilong Xiong; Jia Cai; Ranhui Yan; Xiaolin Huang (IJCNN, 2024)

DGSNA: prompt-based Dynamic Generative Scene-based Noise Addition method. - Zihao Chen; Zhentao Lin; Bi Zeng; Linyi Huang; Zhi Li; Jia Cai (CoRR, 2024)

Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration-Based Approach. - Kexin Lv; Jia Cai; Junyi Huo; Chao Shang; Xiaolin Huang; Jie Yang 002 (Neural Comput., 2024)

Towards robust neural networks via orthogonal diversity. - Kun Fang 004; Qinghua Tao; Yingwen Wu; Tao Li 054; Jia Cai; Feipeng Cai; Xiaolin Huang; Jie Yang 002 (Pattern Recognit., 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 016; Wensi Du; Fan Yang; Cong Hua; Jia Cai; et al. (Database J. Biol. Databases Curation, 2024)

Adaptive Distributed Cooperative Tracking Control and Application for Multiagent Formation Under Communication Constraints. - Jialong Zhang; Lei Ye; Zhongxi Hou; Li Yu; Jia Cai (IEEE Trans. Aerosp. Electron. Syst., 2024)

Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation. - Jianxia Wang; Shaozu Qiu; Jia Cai; Xiaoming Zhang (IEEE Access, 2025)