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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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publications
Inspecting and Interacting with Meaningful Music Representations using VAE
Published in NIME, 2019
Ruihan Yang, Tianyao Chen, Yiyi Zhang and Gus Xia
Download here
Deep Music Analogy Via Latent Representation Disentanglement
Published in ISMIR, 2019
Ruihan Yang, Dingsu Wang, Ziyu Wang, Tianyao Chen, Junyan Jiang and Gus Xia
Download here
The complex non-collinear magnetic orderings in Ba2YOsO6: A new approach to tuning spin- lattice interactions and controlling magnetic orderings in frustrated complex oxides
Published in Journal of Physics: Condensed Matter, 2019
Yue-wen Fang, Ruihan Yang and Hanghui Chen
Download here
PIANOTREE VAE: Structured Representation Learning for Polyphonic Music
Published in ISMIR, 2020
Ziyu Wang, Yiyi Zhang, Yixiao Zhang, Junyan Jiang, Ruihan Yang, Junbo Zhao and Gus Xia
Download here
A large modulation of electron-phonon coupling and an emergent superconducting dome in doped strong ferroelectrics
Published in Nature Communications, 2021
Jiaji Ma, Ruihan Yang and Hanghui Chen
Download here
Hierarchical Autoregressive Modeling for Neural Video Compression
Published in ICLR, 2021
Ruihan Yang, Yibo Yang, Joe Marino and Stephan Mandt
Download here
Supervised Compression for Resource-Constrained Edge Computing Systems
Published in WACV, 2022
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato and Stephan Mandt
Download here
Insights From Generative Modeling for Neural Video Compression
Published in TPAMI (arXived in 2021 published in 2023), 2023
Ruihan Yang, Yibo Yang, Joseph Marino and Stephan Mandt
Download here
SC2 Benchmark: Supervised Compression for Split Computing
Published in TMLR, 2023
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato and Stephan Mandt
Download here
Diffusion Probabilistic Modeling for Video Generation
Published in Entropy (arXived in 2022 published in 2023), 2023
Ruihan Yang, Prakhar Srivastava and Stephan Mandt
Download here
Lossy Image Compression with Conditional Diffusion Model
Published in NeurIPS, 2023
Ruihan Yang and Stephan Mandt
Download here
CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling
Published in ECCV AVGenL Workshop, 2024
Ruihan Yang, Hannes Gamper and Sebastian Braun
Download here
Fast Samplers for Inverse Problems in Iterative Refinement Models
Published in NeurIPS, 2024
Kushagra Pandey*, Ruihan Yang* and Stephan Mandt
Download here
Precipitation Downscaling with Spatiotemporal Video Diffusion
Published in NeurIPS, 2024
Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher Bretherton, Stephan Mandt
Download here
talks
Talk 1 on Relevant Topic in Your Field
Published:
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
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
CS178 Teaching Assistant
Undergraduate, Machine Learning, 2020
- Teaching Assistant,
- Undergraduate Course CS178: Machine Learning
- Winter 2020
CS274C Teaching Assistant
Graduate, Neural Networks and Deep Learning, 2020
- Teaching Assistant,
- Graduate Course CS274C: Neural Networks and Deep Learning
- Spring 2020
CS178 Teaching Assistant
Undergraduate, Machine Learning, 2024
- Teaching Assistant,
- Undergraduate Course CS178: Machine Learning
- Winter 2024