3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR). - Xiaqing Pan; Yueru Chen; C.-C. Jay Kuo (ACCV Workshops (1), 2016)

Exploring confusing scene classes for the places dataset: Insights and solutions. - Chen Chen 021; Shangwen Li; Xiang Fu 006; Yuzhuo Ren; Yueru Chen; C.-C. Jay Kuo (APSIPA, 2017)

A deep learning approach to drone monitoring. - Yueru Chen; Pranav Aggarwal; Jongmoo Choi; C.-C. Jay Kuo (APSIPA, 2017)

Age/gender classification with whole-component convolutional neural networks (WC-CNN). - Chun-Ting Huang; Yueru Chen; Ruiyuan Lin; C.-C. Jay Kuo (APSIPA, 2017)

Understanding CNN via deep features analysis. - Hao Xu; Yueru Chen; Ruiyuan Lin; C.-C. Jay Kuo (APSIPA, 2017)

Design, analysis and application of a volumetric convolutional neural network. - Xiaqing Pan; Yueru Chen; C.-C. Jay Kuo (J. Vis. Commun. Image Represent., 2017)

Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation. - Ye Wang 013; Jongmoo Choi; Yueru Chen; Qin Huang 006; Siyang Li 002; Ming-Sui Lee; C.-C. Jay Kuo (ACCV (4), 2018)

Enhancing CNN Incremental Learning Capability with an Expanded Network. - Shanshan Cai; Zhuwei Xu; Zhichao Huang 002; Yueru Chen; C.-C. Jay Kuo (ICME, 2018)

A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition. - Yueru Chen; Zhuwei Xu; Shanshan Cai; Yujian Lang; C.-C. Jay Kuo (PCS, 2018)

Defense Against Adversarial Attacks with Saak Transform. - Sibo Song; Yueru Chen; Ngai-Man Cheung; C.-C. Jay Kuo (CoRR, 2018)

An Interpretable Generative Model for Handwritten Digit Image Synthesis. - Yao Zhu; Saksham Suri; Pranav Kulkarni; Yueru Chen; Jiali Duan; C.-C. Jay Kuo (CoRR, 2018)

Analysis on Gradient Propagation in Batch Normalized Residual Networks. - Abhishek Panigrahi; Yueru Chen; C.-C. Jay Kuo (CoRR, 2018)

Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks. - Ye Wang 013; Yueru Chen; Jongmoo Choi; C.-C. Jay Kuo (CoRR, 2018)

On data-driven Saak transform. - C.-C. Jay Kuo; Yueru Chen (J. Vis. Commun. Image Represent., 2018)

Nonparametric Learning Via Successive Subspace Modeling (SSM). - Yueru Chen (ICIP, 2019)

Ensembles of Feedforward-Designed Convolutional Neural Networks. - Yueru Chen; Yijing Yang; Wei Wang 352; C.-C. Jay Kuo (ICIP, 2019)

Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks. - Yueru Chen; Yijing Yang; Min Zhang 030; C.-C. Jay Kuo (ICIP, 2019)

An Interpretable Generative Model for Handwritten Digits Synthesis. - Yao Zhu; Saksham Suri; Pranav Kulkarni; Yueru Chen; Jiali Duan; C.-C. Jay Kuo (ICIP, 2019)

PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification. - Yueru Chen; C.-C. Jay Kuo (CoRR, 2019)

Interpretable convolutional neural networks via feedforward design. - C.-C. Jay Kuo; Min Zhang 030; Siyang Li 002; Jiali Duan; Yueru Chen (J. Vis. Commun. Image Represent., 2019)

Pixelhop++: A Small Successive-Subspace-Learning-Based (Ssl-Based) Model For Image Classification. - Yueru Chen; Mozhdeh Rouhsedaghat; Suya You; Raghuveer Rao; C.-C. Jay Kuo (ICIP, 2020)

Point Cloud Attribute Compression via Successive Subspace Graph Transform. - Yueru Chen; Yiting Shao; Jing Wang 115; Ge Li 002; C.-C. Jay Kuo (VCIP, 2020)

A point cloud compression framework via spherical projection. - Yingshen He; Ge Li 002; Yiting Shao; Jing Wang 115; Yueru Chen; Shan Liu 001 (VCIP, 2020)

PixelHop: A successive subspace learning (SSL) method for object recognition. - Yueru Chen; C.-C. Jay Kuo (J. Vis. Commun. Image Represent., 2020)

Video object tracking and segmentation with box annotation. - Ye Wang 013; Jongmoo Choi; Kaitai Zhang; Qin Huang 006; Yueru Chen; Ming-Sui Lee; C.-C. Jay Kuo (Signal Process. Image Commun., 2020)

Unsupervised video object segmentation with distractor-aware online adaptation. - Ye Wang 013; Jongmoo Choi; Yueru Chen; Siyang Li 002; Qin Huang 006; Kaitai Zhang; Ming-Sui Lee; C.-C. Jay Kuo (J. Vis. Commun. Image Represent., 2021)

A efficient predictive wavelet transform for LiDAR point cloud attribute compression. - Yueru Chen; Jing Wang 115; Ge Li 002 (VCIP, 2022)

LSR++: An Efficient and Tiny Model for Image Super-Resolution. - Wei Wang 352; Xuejing Lei; Yueru Chen; Ming-Sui Lee; C.-C. Jay Kuo (APSIPA ASC, 2023)

LSR: A Light-Weight Super-Resolution Method. - Wei Wang 352; Xuejing Lei; Yueru Chen; Ming-Sui Lee; C.-C. Jay Kuo (ICIP, 2023)

Efficient Point Cloud Attribute Compression Framework using Attribute-Guided Graph Fourier Transform. - Jingshu Zhang; Yueru Chen; Guoqing Liu; Wei Gao 003; Ge Li 002 (ICASSP, 2024)

Hierarchical Attention Networks for Lossless Point Cloud Attribute Compression. - Yueru Chen; Wei Zhang 072; Dingquan Li; Jing Wang 115; Ge Li 002 (DCC, 2025)

Low-Overhead Compression-Aware Channel Filtering for Hyperspectral Image Compression. - Wei Zhang 072; Jiayao Xu; Yueru Chen; Dingquan Li; Wen Gao 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Lightweight Spectral Super-Resolution Network for Hyperspectral Image Compression. - Wei Zhang 072; Pengpeng Yu; Yueru Chen; Dingquan Li; Wen Gao 001 (IEEE Signal Process. Lett., 2025)