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ORCIDXiangyu Chen 0008
Person information
- affiliation: University of Kansas, Department of Electrical Engineering and Computer Science, Lawrence, KS, USA
Other persons with the same name
- Xiangyu Chen — disambiguation page
- Xiangyu Chen 0001
![[0000-0001-5858-5679]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5858-5679")
— University of Tokyo, Department of Creative-Infomatics, Japan - Xiangyu Chen 0002 — Beijing Institute of Nanoenergy and Nanosystems, China (and 1 more)
- Xiangyu Chen 0003 — South China University of Technology, School of Mechanical and Automotive Engineering, Guangdong, China
- Xiangyu Chen 0004 — Huawei Technologies, Shenzhen, China (and 1 more)
- Xiangyu Chen 0005 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Xiangyu Chen 0006 — University of Macau, SAR, China (and 2 more)
- Xiangyu Chen 0007 — Cornell University, Ithaca, NY, USA
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2020 – today
- 2025
[i12]Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Wang, Matthew Brand:
LatentLLM: Attention-Aware Joint Tensor Compression. CoRR abs/2505.18413 (2025)- [i11]Xiangyu Chen, Jing Liu, Ye Wang, Matthew Brand, Pu Wang, Toshiaki Koike-Akino:
TuneComp: Joint Fine-tuning and Compression for Large Foundation Models. CoRR abs/2505.21835 (2025) - 2024
- [j3]Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang:
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields. J. Imaging 10(5): 114 (2024) - [c8]Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino:
SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models. BMVC 2024 - [c7]Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino:
SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models. CVPR Workshops 2024: 8050-8055 - [i10]Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino:
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules. CoRR abs/2403.11887 (2024) - [i9]Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang:
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields. CoRR abs/2405.04305 (2024) - 2023
- [j2]Tianxiao Zhang, Andrés M. Bur, Shannon Kraft, Hannah Kavookjian, Bryan Renslo, Xiangyu Chen, Bo Luo, Guanghui Wang:
Gender, Smoking History, and Age Prediction from Laryngeal Images. J. Imaging 9(6): 109 (2023) - [c6]Xiangyu Chen, Ruiwen Zhen, Shuai Li, Xiaotian Li, Guanghui Wang:
MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices. ICCV (Workshops) 2023: 1314-1324 - [c5]Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang:
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets. WACV 2023: 3973-3981 - [i8]Tianxiao Zhang, Andrés M. Bur, Shannon Kraft, Hannah Kavookjian, Bryan Renslo, Xiangyu Chen, Bo Luo, Guanghui Wang:
Gender, Smoking History and Age Prediction from Laryngeal Images. CoRR abs/2305.16661 (2023) - [i7]Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang:
A New Dataset and Comparative Study for Aphid Cluster Detection. CoRR abs/2307.05929 (2023) - [i6]Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang:
Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models. CoRR abs/2308.05881 (2023) - [i5]Xiangyu Chen, Ruiwen Zhen, Shuai Li, Xiaotian Li, Guanghui Wang:
MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices. CoRR abs/2308.12494 (2023) - 2022
- [j1]Xi Mo, Xiangyu Chen:
Realtime Global Attention Network for Semantic Segmentation. IEEE Robotics Autom. Lett. 7(2): 1574-1580 (2022) - [c4]Xi Mo, Xiangyu Chen, Cuncong Zhong, Rui Li, Kaidong Li, Usman Sajid:
Dilated Continuous Random Field for Semantic Segmentation. ICRA 2022: 5078-5084 - [i4]Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang:
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets. CoRR abs/2210.12333 (2022) - [i3]Xiangyu Chen, Ying Qin, Wenju Xu, Andrés M. Bur, Cuncong Zhong, Guanghui Wang:
Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets. CoRR abs/2210.14319 (2022) - 2021
- [c3]Xiangyu Chen, Guanghui Wang:
Few-Shot Learning by Integrating Spatial and Frequency Representation. CRV 2021: 49-56 - [c2]Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang:
Audio-Visual Transformer Based Crowd Counting. ICCVW 2021: 2249-2259 - [i2]Xiangyu Chen, Guanghui Wang:
Few-Shot Learning by Integrating Spatial and Frequency Representation. CoRR abs/2105.05348 (2021) - [i1]Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang:
Audio-Visual Transformer Based Crowd Counting. CoRR abs/2109.01926 (2021) - 2020
- [c1]Xiangyu Chen, Andrew B. Williams:
Improving Engagement by Letting Social Robots Learn and Call Your Name. HRI (Companion) 2020: 160-162
Coauthor Index
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