Rongxin Jiang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Artifact Reduction

Top Venues

IEEE Signal Process. Lett.

IEEE Robotics Autom. Lett.

Publications

Shiyao Jiang, Rongxin Jiang, Xuesong Liu, Fan Zhou, Yaowu Chen
Sparse Array Synthesis with Two-Stage Progressive BCS and Undirected Graph-Based Spacing Constraint. Circuits Syst. Signal Process. 43 (5) (2024)
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions. CoRR (2024)
Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution. CoRR (2024)
Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye
ESOD: Efficient Small Object Detection on High-Resolution Images. CoRR (2024)
Junjie Liu, Rongxin Jiang, Xuesong Liu, Fan Zhou, Yaowu Chen, Chen Shen
Large-Scale Clustering on 100 M-Scale Datasets Using a Single T4 GPU via Recall KNN and Subgraph Segmentation. Neural Process. Lett. 56 (1) (2024)
Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
Enhancing LLM's Cognition via Structurization. CoRR (2024)
Li Huang, Tong Yang, Rongxin Jiang, Xiang Tian, Fan Zhou, Yaowu Chen
Deforming Garment Classification With Shallow Temporal Extraction and Tree-Based Fusion. IEEE Robotics Autom. Lett. 9 (2) (2024)
Xin Ye, Rongxin Jiang, Xiang Tian, Rui Zhang, Yaowu Chen
Knowledge Distillation via Multi-Teacher Feature Ensemble. IEEE Signal Process. Lett. 31 (2024)
Kai Liu, Ze Chen, Zhihang Fu, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge. CoRR (2024)
Ge Teng, Rongxin Jiang, Xuesong Liu, Fan Zhou, Yaowu Chen
EARN: toward efficient and robust JPEG compression artifact reduction. Vis. Comput. 40 (5) (2024)
Junjie Liu, Junlong Liu, Rongxin Jiang, Xuesong Liu, Boxuan Gu, Yaowu Chen, Chen Shen, Jieping Ye
Self-Learning Symmetric Multi-view Probabilistic Clustering. CoRR (2023)
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
Uncertainty-aware Unsupervised Multi-Object Tracking. ICCV (2023)
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
Uncertainty-aware Unsupervised Multi-Object Tracking. CoRR (2023)
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions. NeurIPS (2023)
Li Huang, Tong Yang, Yu Zhang, Rongxin Jiang, Xiang Tian, Yaowu Chen
Continuous Perception Garment Classification Based on Optical Flow Variation. ROBIO (2022)
Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Rongxin Jiang, Bolun Zheng, Yaowu Chen
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. CoRR (2022)