Guang-He Lee

According to our database, Guang-He Lee authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Taxonomy-Structured Domain Adaptation.

Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

Graph-Relational Domain Adaptation.

Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Building Transparent Models.

Guang-He Lee

PhD thesis, 2021

2020

Oblique Decision Trees from Derivatives of ReLU Networks.

Guang-He Lee, Tommi S. Jaakkola

Proceedings of the 8th International Conference on Learning Representations, 2020

Self-Supervised Learning of Appliance Usage.

Chen-Yu Hsu, Abbas Zeitoun, Guang-He Lee, Dina Katabi, Tommi S. Jaakkola

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Locally Constant Networks.

Guang-He Lee, Tommi S. Jaakkola

CoRR, 2019

A Stratified Approach to Robustness for Randomly Smoothed Classifiers.

Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola

CoRR, 2019

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers.

Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Functional Transparency for Structured Data: a Game-Theoretic Approach.

Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi S. Jaakkola

Proceedings of the 36th International Conference on Machine Learning, 2019

Towards Robust, Locally Linear Deep Networks.

Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola

Proceedings of the 7th International Conference on Learning Representations, 2019

ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees.

Hao He, Hao Wang, Guang-He Lee, Yonglong Tian

Proceedings of the 7th International Conference on Learning Representations, 2019

Enabling Identification and Behavioral Sensing in Homes using Radio Reflections.

Chen-Yu Hsu, Rumen Hristov, Guang-He Lee, Mingmin Zhao, Dina Katabi

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

RF-Based Fall Monitoring Using Convolutional Neural Networks.

Yonglong Tian, Guang-He Lee, Hao He, Chen-Yu Hsu, Dina Katabi

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Game-Theoretic Interpretability for Temporal Modeling.

Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola

CoRR, 2018

2017

MUSE: Modularizing Unsupervised Sense Embeddings.

Guang-He Lee, Yun-Nung Chen

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Toward Implicit Sample Noise Modeling: Deviation-driven Matrix Factorization.

Guang-He Lee, Shao-Wen Yang, Shou-De Lin

CoRR, 2016

2015

LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda.

Guang-He Lee, Shou-De Lin

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015