---
title: "Yao-Hung Hubert Tsai — all works — Elamur Research"
description: "All 32 works of Yao-Hung Hubert Tsai in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/yao-hung-hubert-tsai/works/"
---
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# Yao-Hung Hubert Tsai — all works

32 works · [← Yao-Hung Hubert Tsai](https://md.research.elamur.ai/free/en/authors/yao-hung-hubert-tsai/)

1. **[HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units](https://md.research.elamur.ai/free/en/papers/hsu-2021-hubert-self-supervised-speech-representation/) [IEEE/ACM Transactions on Audio Speech and Language Processing](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/)**Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, et al.*2021 · 3,458 citations*
2. **[Multimodal Transformer for Unaligned Multimodal Language Sequences](https://md.research.elamur.ai/free/en/papers/tsai-2019-multimodal-transformer-unaligned-multimodal-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al.*2019 · 2,193 citations*
3. **[Learning Factorized Multimodal Representations ↗](https://arxiv.org/abs/1806.06176) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2018 · 286 citations*
4. **[Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel ↗](https://aclanthology.org/D19-1443/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Yao-Hung Hubert Tsai et al.*2019 · 194 citations*
5. **[Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2016.549) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang*2016 · 190 citations*
6. **[Learning Robust Visual-Semantic Embeddings ↗](https://doi.org/10.1109/iccv.2017.386) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Yao-Hung Hubert Tsai, Liang-Kang Huang, Ruslan Salakhutdinov*2017 · 165 citations*
7. **[Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training? ↗](https://doi.org/10.1109/icassp39728.2021.9414460) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Wei-Ning Hsu et al.*2021 · 147 citations*
8. **[Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization ↗](https://aclanthology.org/P19-1152/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Paul Pu Liang et al.*2019 · 109 citations*
9. **[Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis ↗](https://aclanthology.org/2020.emnlp-main.143/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Yao-Hung Hubert Tsai et al.*2020 · 106 citations*
10. **[Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph ↗](https://doi.org/10.1109/cvpr.2019.01067) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yao-Hung Hubert Tsai et al.*2019 · 98 citations*
11. **[Improving One-Shot Learning through Fusing Side Information ↗](https://arxiv.org/abs/1710.08347) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai, Ruslan Salakhutdinov*2017 · 48 citations*
12. **[Complex Transformer: A Framework for Modeling Complex-Valued Sequence ↗](https://doi.org/10.1109/icassp40776.2020.9054008) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Muqiao Yang et al.*2020 · 42 citations*
13. **[Strong and Simple Baselines for Multimodal Utterance Embeddings ↗](https://aclanthology.org/N19-1267/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Paul Pu Liang et al.*2019 · 36 citations*
14. **[Demystifying Self-Supervised Learning: An Information-Theoretical Framework. ↗](https://arxiv.org/abs/2006.05576) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2020 · 18 citations*
15. **[Capsules with Inverted Dot-Product Attention Routing ↗](https://arxiv.org/abs/2002.04764) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2020 · 17 citations*
16. **[Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning ↗](https://arxiv.org/abs/2106.02866) arXiv (Cornell University) · no summary yet**Martin Q. Ma et al.*2021 · 14 citations*
17. **[A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning ↗](https://arxiv.org/abs/2104.13712) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2021 · 14 citations*
18. **["Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study ↗](https://arxiv.org/abs/1802.05408) arXiv (Cornell University) · no summary yet**Denny C.-Y. Wu et al.*2018 · 12 citations*
19. **[Conditional Contrastive Learning with Kernel ↗](https://arxiv.org/abs/2202.05458) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2022 · 10 citations*
20. **[Neural Methods for Point-wise Dependency Estimation ↗](https://arxiv.org/abs/2006.05553) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2020 · 10 citations*
21. **[Feature-Robust Optimal Transport for High-Dimensional Data ↗](https://doi.org/10.1007/978-3-031-26419-1_18) Lecture notes in computer science · no summary yet**Mathis Petrovich et al.*2020 · 9 citations*
22. **[Self-supervised Representation Learning with Relative Predictive Coding ↗](https://arxiv.org/abs/2103.11275) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2021 · 8 citations*
23. **[Learning Neural Networks with Adaptive Regularization ↗](https://arxiv.org/abs/1907.06288) arXiv (Cornell University) · no summary yet**Han Zhao et al.*2019 · 8 citations*
24. **[Unsupervised Domain Adaptation for Visual Navigation ↗](https://arxiv.org/abs/2010.14543) arXiv (Cornell University) · no summary yet**Shangda Li et al.*2020 · 7 citations*
25. **[Self-Supervised Object Goal Navigation with In-Situ Finetuning ↗](https://doi.org/10.1109/iros55552.2023.10341959) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**So Yeon Min et al.*2023 · 5 citations*
26. **[Integrating Auxiliary Information in Self-supervised Learning ↗](https://arxiv.org/abs/2106.02869) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2021 · 5 citations*
27. **[LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. ↗](https://arxiv.org/abs/1909.02373) arXiv (Cornell University) · no summary yet**Yanbin Liu et al.*2019 · 4 citations*
28. **[Learning Weakly-Supervised Contrastive Representations ↗](https://arxiv.org/abs/2202.06670) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2022 · 2 citations*
29. **[Selecting the Best in GANs Family: a Post Selection Inference Framework ↗](https://arxiv.org/abs/1802.05411) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2018 · 2 citations*
30. **[Learning From the Experience of Others: Approximate Empirical Bayes in Neural Networks ↗](https://openalex.org/W2909685253) no summary yet**Han Zhao et al.*2018 · 2 citations*
31. **[Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator ↗](https://arxiv.org/abs/1802.06226) arXiv (Cornell University) · no summary yet**Makoto Yamada et al.*2018 · 1 citation*
32. **[Discovering Order in Unordered Datasets: Generative Markov Networks ↗](https://arxiv.org/abs/1711.03167) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2017 · 1 citation*