LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda. - Guang-He Lee; Shou-De Lin (ICDM, 2015)

Toward Implicit Sample Noise Modeling: Deviation-driven Matrix Factorization. - Guang-He Lee; Shao-Wen Yang; Shou-De Lin (CoRR, 2016)

MUSE: Modularizing Unsupervised Sense Embeddings. - Guang-He Lee; Yun-Nung Chen (EMNLP, 2017)

Game-Theoretic Interpretability for Temporal Modeling. - Guang-He Lee; David Alvarez-Melis; Tommi S. Jaakkola (CoRR, 2018)

RF-Based Fall Monitoring Using Convolutional Neural Networks. - Yonglong Tian; Guang-He Lee; Hao He 011; Chen-Yu Hsu 001; Dina Katabi (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Enabling Identification and Behavioral Sensing in Homes using Radio Reflections. - Chen-Yu Hsu 001; Rumen Hristov; Guang-He Lee; Mingmin Zhao; Dina Katabi (CHI, 2019)

ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees. - Hao He 011; Hao Wang 014; Guang-He Lee; Yonglong Tian (ICLR (Poster), 2019)

Towards Robust, Locally Linear Deep Networks. - Guang-He Lee; David Alvarez-Melis; Tommi S. Jaakkola (ICLR (Poster), 2019)

Functional Transparency for Structured Data: a Game-Theoretic Approach. - Guang-He Lee; Wengong Jin; David Alvarez-Melis; Tommi S. Jaakkola (ICML, 2019)

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers. - Guang-He Lee; Yang Yuan; Shiyu Chang; Tommi S. Jaakkola (NeurIPS, 2019)

A Stratified Approach to Robustness for Randomly Smoothed Classifiers. - Guang-He Lee; Yang Yuan; Shiyu Chang; Tommi S. Jaakkola (CoRR, 2019)

Locally Constant Networks. - Guang-He Lee; Tommi S. Jaakkola (CoRR, 2019)

Self-Supervised Learning of Appliance Usage. - Chen-Yu Hsu 001; Abbas Zeitoun; Guang-He Lee; Dina Katabi; Tommi S. Jaakkola (ICLR, 2020)

Oblique Decision Trees from Derivatives of ReLU Networks. - Guang-He Lee; Tommi S. Jaakkola (ICLR, 2020)

Building Transparent Models. - Guang-He Lee (2021)

Graph-Relational Domain Adaptation. - Zihao Xu 001; Hao He 011; Guang-He Lee; Bernie Wang 001; Hao Wang 014 (ICLR, 2022)

Taxonomy-Structured Domain Adaptation. - Tianyi Liu; Zihao Xu 001; Hao He 011; Guang-Yuan Hao; Guang-He Lee; Hao Wang 014 (ICML, 2023)