Xin Chen

I am a Machine Learning Software Engineer at Intel, where I work on computer vision, deep learning, model finetuning, prompt optimizaiton, downstream tasks from foundation models and full stack model deployment, which includes pre-trained model optimization (Distillation and Pruning), model inference profiling and acceleration on GPU and CPU (both kernel-based and compiler-based methods) and safety and robustness evaluation of generative models.
Before joining Intel, I worked at many academic institutions and industry R&D teams.

Email / CV / Google Scholar / Github

News

[4/2024] One paper about efficient DNN deployment was accepted to ICS'24.
[2/2023] One paper about joint text and visual prompt tuning to boost 2D CNN model perforamce in temporal video grounding was accepted to CVPR2023.
[2/2023] One paper about Fedeared Learning was conditional accepted to Radiology: Artificial Intelligence (IF:22.5).
[11/2022] Quater Achievement Award of AIA group of 2022 3rd quater, Intel.
[8/2022] Rank #4 in Task 1 of Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022 (AMOS2022) host by MICCAI2022.
[8/2022] Served as Moderator of Innovation Forums of IEEE MIPR 2022, Hardware and Software Acceleration for AI Applications.

Selected Publications [Google Scholar]

(*Equal Contribution, ^†Corresponding Author)

Fasor: A Fast Tensor Program Optimization Framework for Efficient DNN Deployment
Hanxian Huang, Xin Chen, Jishen Zhao
International Conference on Supercomputing Proceedings (ICS'24), 2024
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation
Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma
British Machine Vision Conference (BMVC), 2023 [Paper] [Code]
Influence of Data Distribution on Federated Learning Performance in Tumor Segmentation
Guibo Luo,Tianyu Liu, Jinghui Lu,Xin Chen, Lequan Yu, Jian Wu, Danny Z. Chen, Wenli Cai
Radiology: Artificial Intelligence, April 2023 [Paper]
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
Yimeng Zhang, Xin Chen, Jinghan Jia, Sijia Liu, Ke Ding
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [Paper] [Project] [Code] [HF Model]
Contrastive Deep Supervision
Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma
European Conference on Computer Vision (ECCV), 2022 (Oral, 2.7% acceptance ratio) [Paper] [Code]
Pruning-as-Search: Efficient Neural Architecture Search via Automatic Channel Pruning and Structural Reparameterization
Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen^†
31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI), 2022 [Paper] [Code]
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation
Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [Paper] [Code]
Attention Distillation for Learning Video Representations
Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M Rehg
British Machine Vision Conference (BMVC), 2020 (Oral, 5% acceptance ratio) [Paper] [Project]
Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation
Heyi Liu, Yuke Tian, Klaus Mueller, Xin Chen^†
Image and Vision Computing, Volume 83, March, 2019 [Paper] [Code]
Fully-coupled two-stream spatiotemporal networks for extremely low resolution action recognition
Mingze Xu, Aidean Sharghi, Xin Chen^†, David J Crandall
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018 [Paper] [Code]
Motion Saliency Based Automatic Delineation of Glottis Contour in High-speed Digital Images
Xin Chen, Emma Marriott, Yuling Yan
IEEE Conference on Industrial Electronics and Applications ((ICIEA)), 2017 [Paper]
Parallel nonparametric binarization for degraded document images
Xin Chen, Liang Lin, Yuefang Gao
Neurocomputing, Volume 189, 2016 [Paper]
Large-scale support vector machine classification with redundant data reduction
Xiang-Jun Shen, Lei Mu, Zhen Li, Hao-Xiang Wu, Jian-Ping Gou, Xin Chen
Neurocomputing, Volume 172, 2016
CUDA-accelerated fast Sauvola’s method on Kepler architecture
Xin Chen, Yuefang Gao, Zhonghong Huang
Multimedia Tools and Applications, Volume 74, 2015 [Paper]
Saliency Mapping Enhanced by Structure Tensor
Zhiyong He, Xin Chen, Lining Sun
Computational Intelligence and Neuroscience, 2015 [Paper]
Automatic tracing of vocal-fold motion from high-speed digital images
Yuling Yan, Xin Chen, Diane Bless
IEEE Transactions on Biomedical Engineering, Volume 53, Issue 7, 2006 [Paper]
A segmentation scheme based on Rayleigh distribution model for extracting glottal waveform from high-speed laryngeal images
Xin Chen, Diane Bless, Yuling Yan
IEEE Engineering in Medicine and Biology 27th Annual Conference (EMBS), 2005
Biomedical image analysis in high-speed laryngeal imaging of voice production
Yuling Yan, Diane Bless, Xin Chen
IEEE Engineering in Medicine and Biology 27th Annual Conference (EMBS), 2005

Granted Patents

Multi-level intermediate representation decoder for heterogeneous platforms
Zhen Peng, Yang Liu, Hanxian Huang, Yongxiong Ren, YANG Jishen, Lingzhi Liu, Xin Chen, US11928446B2, 3/2024.
Method and system for providing air conditioning
Xin Chen, Zhicai Ou, Hua Zhou, Rubao Mao, US20210356161A1, 5/2022.
Personalized Laundry Appliance
Xin Chen, Hua Zhou, Yu Zhu, Yuxiang Gao, US10563338B2, 2/2020.
Face Recognition in a Residential Environment.
Dongyan Wang, Xin Chen, Hua Zhou, US10650273B2, 5/2019.

Honors & Awards

Division Achievement Award for Medical Image Segmentation project, Q3 2022, AIA Group of Intel
Rank #4 (out of 93) in Task 1 of Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022 (MICCAI2022)
Rank #2 in track 2 and rank #3 in track 3 at 2018 Low-Power Image Recognition Challenge (LPIRC 2018 with CVPR) (Manager of the team)
2005 University of Hawaii Graduate International Traveling Award

Professional Activities

Conference Reviews:
AAAI 2022, 2023, 2024
CVPR 2022, 2023,2024
ECCV 2022, 2024
ICCV 2023
WACV 2023, 2024
Journal Reviews:
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Multimedia
Medical Image Analysis