Yao-Hung Hubert Tsai

⚔ About Me ⚔

I am a fourth-year Ph.D. student in Machine Learning Department at Carnegie Mellon University under the supervision of Dr. Ruslan Salakhutdinov and Dr. Louis-Philippe Morency. I work on relational representation learning, which aims at revealing and exploiting the underlying relationships from data by incorporating priors from real world or domain experts. My goal is to enhance representation power and improve data efficiency. I am particularly interested in statistical machine learning, graph-based representation learning, multimodal learning, and semi-supervised learning.

When I was not around CMU, I did the internship at Apple Inc./ Microsoft Research/ Allen Institute for Artificial Intelligence (AI2) and visited Kokuritsu Kenkyū Kaihatsu Hōjin Rikagaku Kenkyūjyo (RIKEN).

I am fortunate to receive AI2 fellowship award.

Here is my Google Scholar/ GitHub/ CV/ Full List of Publications.

-- contact me: yaohungt [at] cs.cmu.edu

⚔ Selected Research ⚔
LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport
Yanbin Liu*, Makoto Yamada*, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov and Yi Yang (*equal contribution)
arXiv:1909.02373
[PDF]
Learning Neural Networks with Adaptive Regularization
Han Zhao*, Yao-Hung Hubert Tsai*, Ruslan Salakhutdinov and Geoff Gordon (*equal contribution)
Neural Information Processing Systems (NeurIPS) 2019
[PDF]
Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel
Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency and Ruslan Salakhutdinov
Empirical Methods in Natural Language Processing (EMNLP) 2019
[PDF]
Multimodal Transformer for Unaligned Multimodal Language Sequences
Yao-Hung Hubert Tsai*, Shaojie Bai*, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency and Ruslan Salakhutdinov (*equal contribution)
Association for Computational Linguistics (ACL) 2019
[PDF] [Code]
Learning Representations from Imperfect Multimodal Time Series Data via Tensor Rank Regularization
Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov and Louis-Philippe Morency
Association for Computational Linguistics (ACL Short) 2019
[PDF]
Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph
Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov and Ali Farhadi
Computer Vision and Pattern Recognition (CVPR) 2019
[PDF] [Code]
A Strong and Simple Baseline for Multimodal Utterance Embeddings
Paul Pu Liang*, Yao Chong Lim*, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov and Louis-Philippe Morency (*equal contribution)
North American Chapter of the Association for Computational Linguistics (NAACL) 2019 (oral)
[PDF]
Learning Factorized Multimodal Representations
Yao-Hung Hubert Tsai*, Paul Pu Liang*, Amir Zadeh, Louis-Philippe Morency and Ruslan Salakhutdinov (*equal contribution)
International Conference on Representation Learning (ICLR) 2019
[PDF]
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator
Makoto Yamada*, Denny Wu*, Yao-Hung Hubert Tsai, Ichiro Takeuchi, Ruslan Salakhutdinov and Kenji Fukumizu (*equal contribution)
International Conference on Representation Learning (ICLR) 2019
[PDF]
Transfer Neural Trees: Heterogeneous Domain Adaptation and Beyond
Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang and Ming-Syan Chen
IEEE Transactions on Image Processing (TIP) 2019
[PDF]
Discovering Order in Unordered Datasets: Generative Markov Networks
Yao-Hung Hubert Tsai, Han Zhao, Ruslan Salakhutdinov and Nebojsa Jojic
Neural Information Processing Systems Time Series Workshop (NIPS TSW) 2017 (oral)
[PDF]
Improving One-Shot Learning through Fusing Side Information
Yao-Hung Hubert Tsai and Ruslan Salakhutdinov
NIPS Learning with Limited Labeled Data: Weak Supervision and Beyond (NIPS LLD) 2017
Bay Area Machine Learning Symposium (BayLearn) 2017 (best poster)
[PDF]
Learning Robust Visual-Semantic Embeddings
Yao-Hung Hubert Tsai, Liang-Kang Huang and Ruslan Salakhutdinov
International Conference on Computer Vision (ICCV) 2017
[PDF]
Unsupervised Domain Adaptation with Label and Structural Consistency
Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh and Yu-Chiang Frank Wang
IEEE Transactions on Image Processing (TIP) 2016
[PDF]
Transfer Neural Trees for Heterogeneous Domain Adaptation
Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang and Ming-Syan Chen
European Conference on Computer Vision (ECCV) 2016
[PDF]
Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation
Yao-Hung Hubert Tsai, Yi-Ren Yeh and Yu-Chiang Frank Wang
Computer Vision and Pattern Recognition (CVPR) 2016
[PDF] [Supplementary] [Poster] [Code]
Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation
Yao-Hung Hubert Tsai, Cheng-An Hou, Wei-Yu Chen, Yi-Ren Yeh and Yu-Chiang Frank Wang
Association for the Advancement of Artificial Intelligence (AAAI) 2016
[PDF]
Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data
Tzu-Ming Harry Hsu, Wei-Yu Chen, Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh and Yu-Chiang Frank Wang
International Conference on Computer Vision (ICCV) 2015
[PDF]