Guang-He Lee - RankMe

22 papers A* 9Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Taxonomy-Structured Domain Adaptation. ICML Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang
2023	J	`jnl`	Taxonomy-Structured Domain Adaptation. CoRR Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang
2022	A*	`conf`	Graph-Relational Domain Adaptation. ICLR Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang
2022	J	`jnl`	Graph-Relational Domain Adaptation. CoRR Zihao Xu, Hao He, Guang-He Lee, Yuyang Wang, Hao Wang
2021	—	`—`	Building Transparent Models. Guang-He Lee
2020	A*	`conf`	Oblique Decision Trees from Derivatives of ReLU Networks. ICLR Guang-He Lee, Tommi S. Jaakkola
2020	A*	`conf`	Self-Supervised Learning of Appliance Usage. ICLR Chen-Yu Hsu, Abbas Zeitoun, Guang-He Lee, Dina Katabi, Tommi S. Jaakkola
2019	J	`jnl`	A Stratified Approach to Robustness for Randomly Smoothed Classifiers. CoRR Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola
2019	A*	`conf`	Enabling Identification and Behavioral Sensing in Homes using Radio Reflections. CHI Chen-Yu Hsu, Rumen Hristov, Guang-He Lee, Mingmin Zhao, Dina Katabi
2019	A*	`conf`	Functional Transparency for Structured Data: a Game-Theoretic Approach. ICML Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi S. Jaakkola
2019	J	`jnl`	Functional Transparency for Structured Data: a Game-Theoretic Approach. CoRR Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi S. Jaakkola
2019	J	`jnl`	Locally Constant Networks. CoRR Guang-He Lee, Tommi S. Jaakkola
2019	—	`conf`	ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees. ICLR (Poster) Hao He, Hao Wang, Guang-He Lee, Yonglong Tian
2019	A*	`conf`	Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers. NeurIPS Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola
2019	—	`conf`	Towards Robust, Locally Linear Deep Networks. ICLR (Poster) Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola
2019	J	`jnl`	Towards Robust, Locally Linear Deep Networks. CoRR Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola
2018	J	`jnl`	Game-Theoretic Interpretability for Temporal Modeling. CoRR Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola
2018	J	`jnl`	RF-Based Fall Monitoring Using Convolutional Neural Networks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Yonglong Tian, Guang-He Lee, Hao He, Chen-Yu Hsu, Dina Katabi
2017	A*	`conf`	MUSE: Modularizing Unsupervised Sense Embeddings. EMNLP Guang-He Lee, Yun-Nung Chen
2017	J	`jnl`	MUSE: Modularizing Unsupervised Sense Embeddings. CoRR Guang-He Lee, Yun-Nung Chen
2016	J	`jnl`	Toward Implicit Sample Noise Modeling: Deviation-driven Matrix Factorization. CoRR Guang-He Lee, Shao-Wen Yang, Shou-De Lin
2015	A*	`conf`	LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda. ICDM Guang-He Lee, Shou-De Lin