I am currently a fourth year Ph.D. candidate at the University of Kansas. My research interest includes label efficient learning in computer vision with its application on medical field. I am looking for intership in 2023, Spring and/or Summer. Please feel free to contact me at xychen@ku.edu if you have any internships or other opportunities available.

🔥 News

• 2023.11:   I am honored to start my internship at MERL.
• 2023.09:   One paper accepted by ICCV workshop.
• 2023.05:   One paper accepted by Journal of Imaging.
• 2023.01:   I am honored to start my internship at SenseBrain.
• 2022.12:   Passed the comprehensive exam and officially became a Ph.D. candiate.
• 2022.10:   One paper accepted by WACV 2023, one paper accepted by NeurIPS workshop 2022.
• 2022.08:   One paper submitted to WACV 2023.
• 2022.06:   One paper submitted to Neurocomputing.
• 2022.04:  🎉 Awarded WiCV travel fund.

📝 Publications

• Chen, X., Zhen, R., Li, S., Li, X., & Wang, G. (2023). MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices. ICCV workshop (RCV) 2023.
• Zhang, T., Bur, A. M., Kraft, S., Kavookjian, H., Renslo, B., Chen, X., … & Wang, G.Gender, Smoking History, and Age Prediction from Laryngeal Images, Journal of Imaging 2023.
• 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, AAAI workshop (AIAFS) 2023 (oral) .
• Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong and Guanghui Wang. Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets, WACV 2023.
• Xiangyu Chen, Ying Qin, Wenju Xu, Andrés M. Bur, Cuncong Zhong and Guanghui Wang. Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets, NeurIPS workshop (VTTA) 2022.
• Xiangyu Chen, Ying Qin, Wenju Xu, Andrés M. Bur, Cuncong Zhong and Guanghui Wang. Improving Vision Transformers on Small Datasets by Increasing Input Information Density in Frequency Domain, extended abstract in CVPR Workshop (WiCV) 2022.
• Xi Mo, Xiangyu Chen. Realtime Global Attention Network for Image Segmentation, RA-L 2022 & ICRA 2022.
• Xi Mo, Xiangyu Chen, Cuncong Zhong, Rui Li, Kaidong Li and Usman Sajid. Dilated Continuous Random Field for Semantic Segmentation, ICRA 2022.
• Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim and Guanghui Wang. Audio-Visual Transformer Based Crowd Counting, ICCVW 2021 (oral) .
• Xiangyu Chen and Guanghui Wang. Few-Shot Learning by Integrating Spatial and Frequency Representation, The Conference on Robots and Vision (CRV) (oral)
• Xiangyu Chen and Andrew B. Williams. Improving Engagement by Letting Social Robots Learn and Call Your Name, Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. 2020
• Zhe Li, Xiangyu Chen, Wei Deng, Wenjiang Pei and Yili Xia. Using RFID Technology to Introduce Properties of LMS, ICASSP 2019 (oral, Education Innovation Award)

📖 Educations

• 2019.08 - present, Ph.D. in Electrical Engineering, University of Kansas, USA. Advisor: Dr. Guanghui Wang and Dr. Cuncong Zhong.
• 2018, M.Eng. in Signal and Information Processing, Southeast University, China. Advisor: Dr. Yili Xia and Dr. Wenjiang Pei.
• 2015, B.Eng. in Electronic and Information Engineering, Nanjing University of Science & Technology, China.

💻 Internships

• 2023.11 - present, Research Intern, MERL, Cambridge, MA, USA.
• 2023.01 - 2023.10, Research Intern, SenseBrain, San Jose, CA, USA.
• 2018.07 - 2019.07, Computer Vision Engineer intern, AIRIA, Nanjing, China.
• 2016.12 - 2017.02, SDET intern, Meituan Dianping, Shanghai, China.