Guang-He Lee

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Domain Adaptation

Structured Queries

Theoretical Guarantees

Oblique Decision Trees

Top Venues

Publications

Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang
Taxonomy-Structured Domain Adaptation. ICML (2023)
Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang
Taxonomy-Structured Domain Adaptation. CoRR (2023)
Zihao Xu, Hao He, Guang-He Lee, Yuyang Wang, Hao Wang
Graph-Relational Domain Adaptation. CoRR (2022)
Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang
Graph-Relational Domain Adaptation. ICLR (2022)
Chen-Yu Hsu, Abbas Zeitoun, Guang-He Lee, Dina Katabi, Tommi S. Jaakkola
Self-Supervised Learning of Appliance Usage. ICLR (2020)
Guang-He Lee, Tommi S. Jaakkola
Oblique Decision Trees from Derivatives of ReLU Networks. ICLR (2020)
Hao He, Hao Wang, Guang-He Lee, Yonglong Tian
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees. ICLR (Poster) (2019)
Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi S. Jaakkola
Functional Transparency for Structured Data: a Game-Theoretic Approach. CoRR (2019)
Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola
Towards Robust, Locally Linear Deep Networks. ICLR (Poster) (2019)
Guang-He Lee, Tommi S. Jaakkola
Locally Constant Networks. CoRR (2019)
Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers. NeurIPS (2019)
Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola
Towards Robust, Locally Linear Deep Networks. CoRR (2019)
Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi S. Jaakkola
Functional Transparency for Structured Data: a Game-Theoretic Approach. ICML (2019)
Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola
A Stratified Approach to Robustness for Randomly Smoothed Classifiers. CoRR (2019)
Chen-Yu Hsu, Rumen Hristov, Guang-He Lee, Mingmin Zhao, Dina Katabi
Enabling Identification and Behavioral Sensing in Homes using Radio Reflections. CHI (2019)
Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola
Game-Theoretic Interpretability for Temporal Modeling. CoRR (2018)
Yonglong Tian, Guang-He Lee, Hao He, Chen-Yu Hsu, Dina Katabi
RF-Based Fall Monitoring Using Convolutional Neural Networks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (3) (2018)
Guang-He Lee, Yun-Nung Chen
MUSE: Modularizing Unsupervised Sense Embeddings. CoRR (2017)
Guang-He Lee, Yun-Nung Chen
MUSE: Modularizing Unsupervised Sense Embeddings. EMNLP (2017)
Guang-He Lee, Shao-Wen Yang, Shou-De Lin
Toward Implicit Sample Noise Modeling: Deviation-driven Matrix Factorization. CoRR (2016)
Guang-He Lee, Shou-De Lin
LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda. ICDM (2015)