Person-specific domain adaptation with applications to heterogeneous face recognition. - Yao-Hung Tsai; Hung-Ming Hsu; Cheng-An Hou; Yu-Chiang Frank Wang (ICIP, 2014)

Stable pose tracking from a planar target with an analytical motion model in real-time applications. - Po-Chen Wu; Yao-Hung Tsai; Shao-Yi Chien (MMSP, 2014)

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; Yu-Chiang Frank Wang (ICCV, 2015)

Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation. - Yao-Hung Hubert Tsai; Cheng-An Hou; Wei-Yu Chen; Yi-Ren Yeh; Yu-Chiang Frank Wang (AAAI, 2016)

Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation. - Yao-Hung Hubert Tsai; Yi-Ren Yeh; Yu-Chiang Frank Wang (CVPR, 2016)

Transfer Neural Trees for Heterogeneous Domain Adaptation. - Wei-Yu Chen; Tzu-Ming Harry Hsu; Yao-Hung Hubert Tsai; Yu-Chiang Frank Wang; Ming-Syan Chen (ECCV (5), 2016)

Heterogeneous domain adaptation with label and structure consistency. - Yao-Hung Hubert Tsai; Yi-Ren Yeh; Yu-Chiang Frank Wang (ICASSP, 2016)

Recognizing heterogeneous cross-domain data via generalized joint distribution adaptation. - Yuan-Ting Hsieh; Shi-Yen Tao; Yao-Hung Hubert Tsai; Yi-Ren Yeh; Yu-Chiang Frank Wang (ICME, 2016)

Unsupervised Domain Adaptation With Label and Structural Consistency. - Cheng-An Hou; Yao-Hung Hubert Tsai; Yi-Ren Yeh; Yu-Chiang Frank Wang (IEEE Trans. Image Process., 2016)

Learning Robust Visual-Semantic Embeddings. - Yao-Hung Hubert Tsai; Liang-Kang Huang; Ruslan Salakhutdinov (ICCV, 2017)

Generative-Discriminative Variational Model for Visual Recognition. - Chih-Kuan Yeh; Yao-Hung Hubert Tsai; Yu-Chiang Frank Wang (CoRR, 2017)

Improving One-Shot Learning through Fusing Side Information. - Yao-Hung Hubert Tsai; Ruslan Salakhutdinov (CoRR, 2017)

Discovering Order in Unordered Datasets: Generative Markov Networks. - Yao-Hung Hubert Tsai; Han Zhao 002; Ruslan Salakhutdinov; Nebojsa Jojic (CoRR, 2017)

Selecting the Best in GANs Family: a Post Selection Inference Framework. - Yao-Hung Hubert Tsai; Denny Wu; Makoto Yamada; Ruslan Salakhutdinov; Ichiro Takeuchi; Kenji Fukumizu (ICLR (Workshop), 2018)

"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study. - Denny Wu; Yixiu Zhao; Yao-Hung Hubert Tsai; Makoto Yamada; Ruslan Salakhutdinov (CoRR, 2018)

Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. - Paul Pu Liang; Zhun Liu; Yao-Hung Hubert Tsai; Qibin Zhao; Ruslan Salakhutdinov; Louis-Philippe Morency (ACL (1), 2019)

Multimodal Transformer for Unaligned Multimodal Language Sequences. - Yao-Hung Hubert Tsai; Shaojie Bai; Paul Pu Liang; J. Zico Kolter; Louis-Philippe Morency; Ruslan Salakhutdinov (ACL (1), 2019)

Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph. - Yao-Hung Hubert Tsai; Santosh Kumar Divvala; Louis-Philippe Morency; Ruslan Salakhutdinov; Ali Farhadi (CVPR, 2019)

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; Ruslan Salakhutdinov (EMNLP/IJCNLP (1), 2019)

Learning Factorized Multimodal Representations. - Yao-Hung Hubert Tsai; Paul Pu Liang; Amir Zadeh 001; Louis-Philippe Morency; Ruslan Salakhutdinov (ICLR (Poster), 2019)

Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. - Makoto Yamada; Denny Wu; Yao-Hung Hubert Tsai; Hirofumi Ohta; Ruslan Salakhutdinov; Ichiro Takeuchi; Kenji Fukumizu (ICLR (Poster), 2019)

Strong and Simple Baselines for Multimodal Utterance Embeddings. - Paul Pu Liang; Yao Chong Lim; Yao-Hung Hubert Tsai; Ruslan Salakhutdinov; Louis-Philippe Morency (NAACL-HLT (1), 2019)

Learning Neural Networks with Adaptive Regularization. - Han Zhao 002; Yao-Hung Hubert Tsai; Ruslan Salakhutdinov; Geoffrey J. Gordon (NeurIPS, 2019)

LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. - Yanbin Liu; Makoto Yamada; Yao-Hung Hubert Tsai; Tam Le; Ruslan Salakhutdinov; Yi Yang 001 (CoRR, 2019)

Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond. - Wei-Yu Chen; Tzu-Ming Harry Hsu; Yao-Hung Hubert Tsai; Ming-Syan Chen; Yu-Chiang Frank Wang (IEEE Trans. Image Process., 2019)

Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis. - Yao-Hung Hubert Tsai; Martin Q. Ma; Muqiao Yang; Ruslan Salakhutdinov; Louis-Philippe Morency (EMNLP (1), 2020)

Complex Transformer: A Framework for Modeling Complex-Valued Sequence. - Muqiao Yang; Martin Q. Ma; Dongyu Li; Yao-Hung Hubert Tsai; Ruslan Salakhutdinov (ICASSP, 2020)

Capsules with Inverted Dot-Product Attention Routing. - Yao-Hung Hubert Tsai; Nitish Srivastava; Hanlin Goh; Ruslan Salakhutdinov (ICLR, 2020)

Neural Methods for Point-wise Dependency Estimation. - Yao-Hung Hubert Tsai; Han Zhao 002; Makoto Yamada; Louis-Philippe Morency; Ruslan Salakhutdinov (NeurIPS, 2020)

Interpretable Multimodal Routing for Human Multimodal Language. - Yao-Hung Hubert Tsai; Martin Q. Ma; Muqiao Yang; Ruslan Salakhutdinov; Louis-Philippe Morency (CoRR, 2020)

Feature Robust Optimal Transport for High-dimensional Data. - Mathis Petrovich; Chao Liang 002; Yanbin Liu; Yao-Hung Hubert Tsai; Linchao Zhu; Yi Yang 001; Ruslan Salakhutdinov; Makoto Yamada (CoRR, 2020)

Demystifying Self-Supervised Learning: An Information-Theoretical Framework. - Yao-Hung Hubert Tsai; Yue Wu 001; Ruslan Salakhutdinov; Louis-Philippe Morency (CoRR, 2020)

Unsupervised Domain Adaptation for Visual Navigation. - Shangda Li; Devendra Singh Chaplot; Yao-Hung Hubert Tsai; Yue Wu 001; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2020)

Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training? - Wei-Ning Hsu; Yao-Hung Hubert Tsai; Benjamin Bolte; Ruslan Salakhutdinov; Abdelrahman Mohamed (ICASSP, 2021)

Self-supervised Learning from a Multi-view Perspective. - Yao-Hung Hubert Tsai; Yue Wu 001; Ruslan Salakhutdinov; Louis-Philippe Morency (ICLR, 2021)

Self-supervised Representation Learning with Relative Predictive Coding. - Yao-Hung Hubert Tsai; Martin Q. Ma; Muqiao Yang; Han Zhao 002; Louis-Philippe Morency; Ruslan Salakhutdinov (ICLR, 2021)

LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport. - Yanbin Liu; Makoto Yamada; Yao-Hung Hubert Tsai; Tam Le; Ruslan Salakhutdinov; Yi Yang 001 (ECML/PKDD (1), 2021)

A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning. - Yao-Hung Hubert Tsai; Shaojie Bai; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2021)

Conditional Contrastive Learning: Removing Undesirable Information in Self-Supervised Representations. - Yao-Hung Hubert Tsai; Martin Q. Ma; Han Zhao 002; Kun Zhang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2021)

Integrating Auxiliary Information in Self-supervised Learning. - Yao-Hung Hubert Tsai; Tianqin Li; Weixin Liu; Peiyuan Liao; Ruslan Salakhutdinov; Louis-Philippe Morency (CoRR, 2021)

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units. - Wei-Ning Hsu; Benjamin Bolte; Yao-Hung Hubert Tsai; Kushal Lakhotia; Ruslan Salakhutdinov; Abdelrahman Mohamed (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Learning Weakly-supervised Contrastive Representations. - Yao-Hung Hubert Tsai; Tianqin Li; Weixin Liu; Peiyuan Liao; Ruslan Salakhutdinov; Louis-Philippe Morency (ICLR, 2022)

Conditional Contrastive Learning with Kernel. - Yao-Hung Hubert Tsai; Tianqin Li; Martin Q. Ma; Han Zhao 002; Kun Zhang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (ICLR, 2022)

Paraphrasing Is All You Need for Novel Object Captioning. - Cheng-Fu Yang; Yao-Hung Hubert Tsai; Wan-Cyuan Fan; Russ Salakhutdinov; Louis-Philippe Morency; Frank Wang (NeurIPS, 2022)

Feature-Robust Optimal Transport for High-Dimensional Data. - Mathis Petrovich; Chao Liang 002; Ryoma Sato; Yanbin Liu; Yao-Hung Hubert Tsai; Linchao Zhu; Yi Yang 001; Ruslan Salakhutdinov; Makoto Yamada (ECML/PKDD (5), 2022)

Greedy modality selection via approximate submodular maximization. - Runxiang Cheng; Gargi Balasubramaniam; Yifei He; Yao-Hung Hubert Tsai; Han Zhao 002 (UAI, 2022)

Scale dependant layer for self-supervised nuclei encoding. - Peter Naylor; Yao-Hung Hubert Tsai; Marick Laé; Makoto Yamada (CoRR, 2022)

Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance. - Mario Srouji; Wei Ding; Yao-Hung Hubert Tsai; Ali Farhadi; Jian Zhang 050 (CoRR, 2022)

Paraphrasing Is All You Need for Novel Object Captioning. - Cheng-Fu Yang; Yao-Hung Hubert Tsai; Wan-Cyuan Fan; Ruslan Salakhutdinov; Louis-Philippe Morency; Yu-Chiang Frank Wang (CoRR, 2022)

Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents. - Yao-Hung Hubert Tsai; Hanlin Goh; Ali Farhadi; Jian Zhang 050 (CoRR, 2022)

Object Goal Navigation with End-to-End Self-Supervision. - So Yeon Min; Yao-Hung Hubert Tsai; Wei Ding; Ali Farhadi; Ruslan Salakhutdinov; Yonatan Bisk; Jian Zhang 050 (CoRR, 2022)

A 0.0067-mm2 12-bit 20-MS/s SAR ADC Using Digital Place-and-Route Tools in 40-nm CMOS. - Yao-Hung Tsai; Shen-Iuan Liu (IEEE Trans. Very Large Scale Integr. Syst., 2022)

SAFER: Safe Collision Avoidance Using Focused and Efficient Trajectory Search with Reinforcement Learning. - Mario Srouji; Hugues Thomas; Yao-Hung Hubert Tsai; Ali Farhadi; Jian Zhang 050 (CASE, 2023)

Self-Supervised Object Goal Navigation with In-Situ Finetuning. - So Yeon Min; Yao-Hung Hubert Tsai; Wei Ding; Ali Farhadi; Ruslan Salakhutdinov; Yonatan Bisk; Jian Zhang 050 (IROS, 2023)

Human Following in Mobile Platforms with Person Re-Identification. - Mario Srouji; Yao-Hung Hubert Tsai; Hugues Thomas; Jian Zhang 050 (CoRR, 2023)

Multimodal Large Language Model for Visual Navigation. - Yao-Hung Hubert Tsai; Vansh Dhar; Jialu Li; Bowen Zhang; Jian Zhang 050 (CoRR, 2023)

An Empirical Study of Simplicial Representation Learning with Wasserstein Distance. - Makoto Yamada; Yuki Takezawa; Guillaume Houry; Kira Michaela Dusterwald; Déborah Sulem; Han Zhao 002; Yao-Hung Hubert Tsai (CoRR, 2023)

A 0.91-pJ/b 20.8-32-Gb/s Reference-Less Sub-Baud-Rate CDR Circuit. - Yao-Hung Tsai; Wen-Chi Huang; Shen-Iuan Liu (A-SSCC, 2024)

KPConvX: Modernizing Kernel Point Convolution with Kernel Attention. - Hugues Thomas; Yao-Hung Hubert Tsai; Timothy D. Barfoot; Jian Zhang 050 (CVPR, 2024)

Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning. - Yao-Hung Hubert Tsai; Walter Talbott; Jian Zhang 050 (CoRR, 2024)

On Verbalized Confidence Scores for LLMs. - Daniel Yang; Yao-Hung Hubert Tsai; Makoto Yamada (CoRR, 2024)

Efficient Modality Selection in Multimodal Learning. - Yifei He; Runxiang Cheng; Gargi Balasubramaniam; Yao-Hung Hubert Tsai; Han Zhao 002 (J. Mach. Learn. Res., 2024)

On Verbalized Confidence Scores for LLMs. - Daniel Yang; Yao-Hung Hubert Tsai; Makoto Yamada (Zenodo, 2024)

Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach. - Siqi Zeng 001; Yifei He; Weiqiu You; Yifan Hao 002; Yao-Hung Hubert Tsai; Makoto Yamada; Han Zhao 002 (CoRR, 2025)

PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video. - Makoto Yamada; Kian Ming A. Chai; Ayoub Rhim; Satoki Ishikawa; Mohammad Sabokrou; Yao-Hung Hubert Tsai (CoRR, 2025)