Yueru Chen - RankMe

48 papers A 1B 7C 4Misc 1Journal 28Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Hierarchical Attention Networks for Lossless Point Cloud Attribute Compression. DCC Yueru Chen, Wei Zhang, Dingquan Li, Jing Wang, Ge Li
2025	J	`jnl`	Hierarchical Attention Networks for Lossless Point Cloud Attribute Compression. CoRR Yueru Chen, Wei Zhang, Dingquan Li, Jing Wang, Ge Li
2025	J	`jnl`	Lightweight Spectral Super-Resolution Network for Hyperspectral Image Compression. IEEE Signal Process. Lett. Wei Zhang, Pengpeng Yu, Yueru Chen, Dingquan Li, Wen Gao
2025	J	`jnl`	Low-Overhead Compression-Aware Channel Filtering for Hyperspectral Image Compression. IEEE Geosci. Remote. Sens. Lett. Wei Zhang, Jiayao Xu, Yueru Chen, Dingquan Li, Wen Gao
2025	J	`jnl`	PolySim: Bridging the Sim-to-Real Gap for Humanoid Control via Multi-Simulator Dynamics Randomization. CoRR Zixing Lei, Zibo Zhou, Sheng Yin, Yueru Chen, Qingyao Xu, Weixin Li, Yunhong Wang, Bowei Tang, Wei Jing, Siheng Chen
2024	Misc	`conf`	Efficient Point Cloud Attribute Compression Framework using Attribute-Guided Graph Fourier Transform. ICASSP Jingshu Zhang, Yueru Chen, Guoqing Liu, Wei Gao, Ge Li
2023	—	`conf`	LSR++: An Efficient and Tiny Model for Image Super-Resolution. APSIPA ASC Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
2023	B	`conf`	LSR: A Light-Weight Super-Resolution Method. ICIP Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
2023	J	`jnl`	LSR: A Light-Weight Super-Resolution Method. CoRR Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
2022	C	`conf`	A efficient predictive wavelet transform for LiDAR point cloud attribute compression. VCIP Yueru Chen, Jing Wang, Ge Li
2021	J	`jnl`	Unsupervised video object segmentation with distractor-aware online adaptation. J. Vis. Commun. Image Represent. Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C.-C. Jay Kuo
2020	C	`conf`	A point cloud compression framework via spherical projection. VCIP Yingshen He, Ge Li, Yiting Shao, Jing Wang, Yueru Chen, Shan Liu
2020	J	`jnl`	PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification. CoRR Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, C.-C. Jay Kuo
2020	J	`jnl`	PixelHop: A successive subspace learning (SSL) method for object recognition. J. Vis. Commun. Image Represent. Yueru Chen, C.-C. Jay Kuo
2020	B	`conf`	Pixelhop++: A Small Successive-Subspace-Learning-Based (Ssl-Based) Model For Image Classification. ICIP Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, C.-C. Jay Kuo
2020	C	`conf`	Point Cloud Attribute Compression via Successive Subspace Graph Transform. VCIP Yueru Chen, Yiting Shao, Jing Wang, Ge Li, C.-C. Jay Kuo
2020	J	`jnl`	Point Cloud Attribute Compression via Successive Subspace Graph Transform. CoRR Yueru Chen, Yiting Shao, Jing Wang, Ge Li, C.-C. Jay Kuo
2020	J	`jnl`	Video object tracking and segmentation with box annotation. Signal Process. Image Commun. Ye Wang, Jongmoo Choi, Kaitai Zhang, Qin Huang, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
2019	B	`conf`	An Interpretable Generative Model for Handwritten Digits Synthesis. ICIP Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo
2019	B	`conf`	Ensembles of Feedforward-Designed Convolutional Neural Networks. ICIP Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo
2019	J	`jnl`	Ensembles of feedforward-designed convolutional neural networks. CoRR Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo
2019	J	`jnl`	Interpretable convolutional neural networks via feedforward design. J. Vis. Commun. Image Represent. C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen
2019	B	`conf`	Nonparametric Learning Via Successive Subspace Modeling (SSM). ICIP Yueru Chen
2019	J	`jnl`	PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification. CoRR Yueru Chen, C.-C. Jay Kuo
2019	B	`conf`	Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks. ICIP Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo
2019	J	`jnl`	Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks. CoRR Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo
2018	C	`conf`	A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition. PCS Yueru Chen, Zhuwei Xu, Shanshan Cai, Yujian Lang, C.-C. Jay Kuo
2018	J	`jnl`	An Interpretable Generative Model for Handwritten Digit Image Synthesis. CoRR Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo
2018	J	`jnl`	Analysis on Gradient Propagation in Batch Normalized Residual Networks. CoRR Abhishek Panigrahi, Yueru Chen, C.-C. Jay Kuo
2018	J	`jnl`	Defense Against Adversarial Attacks with Saak Transform. CoRR Sibo Song, Yueru Chen, Ngai-Man Cheung, C.-C. Jay Kuo
2018	—	`conf`	Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation. ACCV (4) Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee, C.-C. Jay Kuo
2018	J	`jnl`	Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation. CoRR Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee, C.-C. Jay Kuo
2018	A	`conf`	Enhancing CNN Incremental Learning Capability with an Expanded Network. ICME Shanshan Cai, Zhuwei Xu, Zhichao Huang, Yueru Chen, C.-C. Jay Kuo
2018	J	`jnl`	Interpretable Convolutional Neural Networks via Feedforward Design. CoRR C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen
2018	J	`jnl`	On data-driven Saak transform. J. Vis. Commun. Image Represent. C.-C. Jay Kuo, Yueru Chen
2018	J	`jnl`	Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks. CoRR Ye Wang, Yueru Chen, Jongmoo Choi, C.-C. Jay Kuo
2018	J	`jnl`	Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation. CoRR Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C.-C. Jay Kuo
2017	J	`jnl`	3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR). CoRR Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo
2017	J	`jnl`	A Deep Learning Approach to Drone Monitoring. CoRR Yueru Chen, Pranav Aggarwal, Jongmoo Choi, C.-C. Jay Kuo
2017	J	`jnl`	A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition. CoRR Yueru Chen, Zhuwei Xu, Shanshan Cai, Yujian Lang, C.-C. Jay Kuo
2017	—	`conf`	A deep learning approach to drone monitoring. APSIPA Yueru Chen, Pranav Aggarwal, Jongmoo Choi, C.-C. Jay Kuo
2017	—	`conf`	Age/gender classification with whole-component convolutional neural networks (WC-CNN). APSIPA Chun-Ting Huang, Yueru Chen, Ruiyuan Lin, C.-C. Jay Kuo
2017	J	`jnl`	Design, Analysis and Application of A Volumetric Convolutional Neural Network. CoRR Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo
2017	J	`jnl`	Design, analysis and application of a volumetric convolutional neural network. J. Vis. Commun. Image Represent. Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo
2017	—	`conf`	Exploring confusing scene classes for the places dataset: Insights and solutions. APSIPA Chen Chen, Shangwen Li, Xiang Fu, Yuzhuo Ren, Yueru Chen, C.-C. Jay Kuo
2017	J	`jnl`	On Data-Driven Saak Transform. CoRR C.-C. Jay Kuo, Yueru Chen
2017	—	`conf`	Understanding CNN via deep features analysis. APSIPA Hao Xu, Yueru Chen, Ruiyuan Lin, C.-C. Jay Kuo
2016	—	`conf`	3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR). ACCV Workshops (1) Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo