Xiangyu Chen

According to our database, Xiangyu Chen authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

TuneComp: Joint Fine-tuning and Compression for Large Foundation Models.

Xiangyu Chen, Jing Liu, Ye Wang, Matthew Brand, Pu Wang, Toshiaki Koike-Akino

CoRR, May, 2025

LatentLLM: Attention-Aware Joint Tensor Compression.

Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Wang, Matthew Brand

CoRR, May, 2025

2024

A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields.

Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang

J. Imaging, May, 2024

SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules.

Xiangyu Chen, Jing Liu, Ye Wang, Pu (Perry) Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino

CoRR, 2024

SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models.

Xiangyu Chen, Jing Liu, Ye Wang, Pu (Perry) Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models.

Xiangyu Chen, Jing Liu, Ye Wang, Pu (Perry) Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Gender, Smoking History, and Age Prediction from Laryngeal Images.

Tianxiao Zhang, Andrés M. Bur, Shannon Kraft, Hannah Kavookjian, Bryan Renslo, Xiangyu Chen, Bo Luo, Guanghui Wang

J. Imaging, 2023

Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models.

Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang

CoRR, 2023

A New Dataset and Comparative Study for Aphid Cluster Detection.

Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang

CoRR, 2023

Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets.

Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices.

Xiangyu Chen, Ruiwen Zhen, Shuai Li, Xiaotian Li, Guanghui Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Realtime Global Attention Network for Semantic Segmentation.

Xi Mo, Xiangyu Chen

IEEE Robotics Autom. Lett., 2022

Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets.

Xiangyu Chen, Ying Qin, Wenju Xu, Andrés M. Bur, Cuncong Zhong, Guanghui Wang

CoRR, 2022

Dilated Continuous Random Field for Semantic Segmentation.

Xi Mo, Xiangyu Chen, Cuncong Zhong, Rui Li, Kaidong Li, Usman Sajid

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Audio-Visual Transformer Based Crowd Counting.

Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Few-Shot Learning by Integrating Spatial and Frequency Representation.

Xiangyu Chen, Guanghui Wang

Proceedings of the 18th Conference on Robots and Vision, 2021

2020

Improving Engagement by Letting Social Robots Learn and Call Your Name.

Xiangyu Chen, Andrew B. Williams

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020