| 2023 | ICML | Taxonomy-Structured Domain Adaptation. | Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang |
| 2022 | ICLR | Graph-Relational Domain Adaptation. | Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang |
| 2020 | ICLR | Self-Supervised Learning of Appliance Usage. | Chen-Yu Hsu, Abbas Zeitoun, Guang-He Lee, Dina Katabi, Tommi S. Jaakkola |
| 2020 | ICLR | Oblique Decision Trees from Derivatives of ReLU Networks. | Guang-He Lee, Tommi S. Jaakkola |
| 2019 | CHI | Enabling Identification and Behavioral Sensing in Homes using Radio Reflections. | Chen-Yu Hsu, Rumen Hristov, Guang-He Lee, Mingmin Zhao, Dina Katabi |
| 2019 | ICLR | ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees. | Hao He, Hao Wang, Guang-He Lee, Yonglong Tian |
| 2019 | ICLR | Towards Robust, Locally Linear Deep Networks. | Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola |
| 2019 | ICML | Functional Transparency for Structured Data: a Game-Theoretic Approach. | Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi S. Jaakkola |
| 2017 | EMNLP | MUSE: Modularizing Unsupervised Sense Embeddings. | Guang-He Lee, Yun-Nung Chen |
| 2015 | ICDM | LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda. | Guang-He Lee, Shou-De Lin |