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Xingyi Yang
About me
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Posts
Teaching Visualizations
Published:
To facilitate the teaching of a certain undergraduate class, I created some visualizations for several basic machine learning algorithms, including K-Means clustering, e.g. These visualizations help students to better understand the underlying concepts of these algorithms and how they work in practice.
Music Sharing: Homesickness
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Variational Inference
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Widok z ziarnkiem piasku, Wisława Szymborska
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Kalman Filter
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Omnipotent Youth Society
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Omnipotent Youth Society (万能青年旅店，简称万青), Chinese indie band in Hebei. blues rock & indie rock.
Lo Tayou
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Lo Tayou (罗大佑), Chinese Musician born in Taiwan.
La Soledad De America Latina, Gabriel García Márquez, 1982 Nobel prize in literature speeches
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Why use kernel size of 4 in discriminators?
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Why use kernel size of 4 in discriminators? Because of Checkboard artifacts in gradients Link
Ti San Yi Ta, by Xun Lu
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Lyrics, Peacock, by Wachi
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松糕鞋 松糕鞋 踩上女人街 女人街
Quotes, by Yuan Cui and Shi Su
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古之所谓豪杰之士，必有过人之节。人情有所不能忍者，匹夫见辱，拔剑而起，挺身而斗，此不足为勇也。天下有大勇者，卒然临之而不惊，无故加之而不怒。此其所挟持者甚大，而其志甚远也。
On the Battle Lost(Excerpt), Svetlana Alexievich, 2015 Nobel prize in literature speeches
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GAN paper reading
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Progressive GAN
Progressive growing of GAN
- Start with low-resolution images and then progressively increasing the resolution by adding layers to the network!
Keyword Spotting with hardware constraint
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This is a slide about Keyword Spotting with hardware constraint. Some model compression approaches are also introduced to reduce the computational requirement.
portfolio
publications
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans
Preprint, 2020
Xuehai He*, Xingyi Yang*, Shanghang Zhang*, Jinyu Zhao, Yichen Zhang, Eric Xing, Pengtao Xie * Equally contributed
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Preprint, 2020
Xingyi Yang, Xuehai He, Jinyu Zhao, Yichen Zhang, Shanghang Zhang, Pengtao Xie
XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports
Preprint, 2020
Xingyi Yang, Nandiraju Gireesh, Eric Xing, Pengtao Xie
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms
Preprint, 2020
Xingyi Yang*, Xuehai He∗,Yuxiao Liang, Yue Yang, Shanghang Zhang, Pengtao Xie * Equally contributed
Single View Metrology in the Wild
16th European Conference on Computer Vision (ECCV2020), 2020
Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy, Federico Perazzi, Jonathan Eisenmann, Kalyan Sunkavalli, Manmohan Chandraker
Kalman Optimizer for Consistent Gradient Descent
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2021), 2021
Xingyi Yang
DSRNA: Differentiable Search of Robust Neural Architectures
2021 Conference on Computer Vision and Pattern Recognition (CVPR2021), 2021
Ramtin Hosseini, Xingyi Yang, Pengtao Xie
On the Generation of Medical Dialogues for COVID-19
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL2021), long paper, 2021
Wenmian Yang, Guangtao Zeng, Bowen Tan, Zeqian Ju, Subrato Chakravorty, Xuehai He, Shu Chen, Xingyi Yang, Qingyang Wu, Zhou Yu, Eric Xing, Pengtao Xie
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL2021), (Long Oral), 2021
Xingyi Yang, Muchao Ye, Quanzeng You and Fenglong Ma
Neural Point Process for Learning Spatiotemporal Event Dynamics
Conference on Learning for Dynamics and Control (L4DC), 2022
Zihao Zhou, Xingyi Yang, Ryan Rossi, Handong Zhao, Rose Yu
Learning with Recoverable Forgetting
European Conference on Computer Vision (ECCV), 2022
Jingwen Ye, Fu Yifang, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
Factorizing Knowledge in Neural Networks
European Conference on Computer Vision (ECCV), 2022
Xingyi Yang, Jingwen Ye, Xinchao Wang
Dataset Distillation via Factorization
Neural Information Processing Systems (NeurIPS), 2022
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
Deep Model Reassembly
Neural Information Processing Systems (NeurIPS), (Paper Award Nomination), 2022
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
Towards Stochastic Gradient Variance Reduction by Solving a Filtering Problem
Tiny Papers @ ICLR 2023, 2023
Xingyi Yang
Distribution Shift Inversion for Out-of-Distribution Generalization
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
Conference on Computer Vision and Pattern Recognition (CVPR), (Highlight), 2023
Xinjiang Wang*, Xingyi Yang*, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang (* Equally Contributed)
Diffusion Probabilistic Model Made Slim
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
SG-Former: Self-guided Transformer with Evolving Token Reallocation
Proceedings of IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang
Diffusion Model as Representation Learner
Proceedings of IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Xingyi Yang, Xinchao Wang
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.