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Journal Articles
- 2024
[j4]Yuanhong Xu
, Mingcong Deng:
Robustness Analysis for Sundry Disturbed Open Loop Dynamics Using Robust Right Coprime Factorization. Axioms 13(2): 116 (2024)- 2022
- [j3]Di Zhu, Yuanhong Xu, Hongjie Ma, Jingxiao Liao, Wen Sun, Yuting Chen, Wei Liu:
Building a Three-Level User Experience (UX) Measurement Framework for Mobile Banking Applications in a Chinese Context: An Analytic Hierarchy Process (AHP) Analysis. Multimodal Technol. Interact. 6(9): 83 (2022) - [j2]Mingcong Deng, Shotaro Kubota, Yuanhong Xu:
Nonlinear Intelligent Control of Two Link Robot Arm by Considering Human Voluntary Components. Sensors 22(4): 1424 (2022) - [j1]Bo Zhao, Yawei Wu, Yuanhong Xu, Yueyi Zhang, Xiaojun Liu, Guangyou Fang:
Two-Dimensional Imaging of FMCW Ice Sounding Radar Data via the Modified Frequency Scaling Algorithm. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022)
Conference and Workshop Papers
- 2024
- [c9]Qi Qian, Yuanhong Xu, Juhua Hu:
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning. ECCV (78) 2024: 1-17 - 2023
- [c8]Jianlong Yuan, Yuanhong Xu, Zhibin Wang:
K2NN: Self-Supervised Learning with Hierarchical Nearest Neighbors for Remote Sensing. ICASSP 2023: 1-5 - [c7]Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian:
Improved Visual Fine-tuning with Natural Language Supervision. ICCV 2023: 11865-11875 - [c6]Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou:
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. ICML 2023: 38728-38748 - [c5]Qi Qian, Yuanhong Xu, Juhua Hu:
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. NeurIPS 2023 - 2022
- [c4]Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. CVPR 2022: 16619-16628 - [c3]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin:
Improved Fine-Tuning by Better Leveraging Pre-Training Data. NeurIPS 2022 - 2021
- [c2]Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu:
Weakly Supervised Representation Learning with Coarse Labels. ICCV 2021: 10573-10581 - 2018
- [c1]Yuanhong Xu, Pei Dong, Liang Lu, Junyu Dong, Lin Qi:
Combining depth-estimation-based multi-spectral photometric stereo and SLAM for real-time dense 3D reconstruction. ICCIP 2018: 81-85
Informal and Other Publications
- 2024
- [i11]Qi Qian, Yuanhong Xu, Juhua Hu:
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning. CoRR abs/2408.13351 (2024) - 2023
- [i10]Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou:
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. CoRR abs/2302.00402 (2023) - [i9]Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian:
Improved Visual Fine-tuning with Natural Language Supervision. CoRR abs/2304.01489 (2023) - [i8]Qinghao Ye, Haiyang Xu, Guohai Xu, Jiabo Ye, Ming Yan, Yiyang Zhou, Junyang Wang, Anwen Hu, Pengcheng Shi, Yaya Shi, Chenliang Li, Yuanhong Xu, Hehong Chen, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang:
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality. CoRR abs/2304.14178 (2023) - [i7]Qi Qian, Yuanhong Xu, Juhua Hu:
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. CoRR abs/2310.19752 (2023) - 2022
- [i6]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan:
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation. CoRR abs/2205.12753 (2022) - 2021
- [i5]Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. CoRR abs/2105.11527 (2021) - [i4]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin:
Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice. CoRR abs/2111.12292 (2021) - 2020
- [i3]Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu:
Representation Learning with Fine-grained Patterns. CoRR abs/2005.09681 (2020) - [i2]Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin:
Towards Understanding Label Smoothing. CoRR abs/2006.11653 (2020) - 2018
- [i1]Yuanhong Xu, Pei Dong, Junyu Dong, Lin Qi:
Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction. CoRR abs/1807.02294 (2018)
Coauthor Index
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