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portfolio
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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
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Deep Music Analogy Via Latent Representation Disentanglement
Published in ISMIR, 2019
Ruihan Yang, Dingsu Wang, Ziyu Wang, Tianyao Chen, Junyan Jiang and Gus Xia
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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
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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
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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
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Hierarchical Autoregressive Modeling for Neural Video Compression
Published in ICLR, 2021
Ruihan Yang, Yibo Yang, Joe Marino and Stephan Mandt
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Supervised Compression for Resource-Constrained Edge Computing Systems
Published in WACV, 2022
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato and Stephan Mandt
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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
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SC2 Benchmark: Supervised Compression for Split Computing
Published in TMLR, 2023
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato and Stephan Mandt
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Diffusion Probabilistic Modeling for Video Generation
Published in Entropy (arXived in 2022 published in 2023), 2023
Ruihan Yang, Prakhar Srivastava and Stephan Mandt
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Lossy Image Compression with Conditional Diffusion Model
Published in NeurIPS, 2023
Ruihan Yang and Stephan Mandt
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Probabilistic Precipitation Downscaling with Optical Flow-Guided Diffusion
Published in arXiv, 2023
Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher Bretherton, Stephan Mandt
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CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling
Published in arXiv, 2023
Ruihan Yang, Hannes Gamper and Sebastian Braun
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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