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Guang-He Lee
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Cited by
Year
RF-based fall monitoring using convolutional neural networks
GH Lee*, Y Tian*, H He*, CY Hsu, D Katabi
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
1682018
Tight certificates of adversarial robustness for randomly smoothed classifiers
GH Lee, Y Yuan, S Chang, TS Jaakkola
Neural Information Processing Systems (NeurIPS 2019), 2019
1172019
Enabling identification and behavioral sensing in homes using radio reflections
CY Hsu, R Hristov, GH Lee, M Zhao, D Katabi
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
912019
Dynamic sampling of sensor data
GH Lee, SW Yang
US Patent App. 16/062,107, 2018
912018
Towards Robust, Locally Linear Deep Networks
GH Lee, D Alvarez-Melis, TS Jaakkola
International Conference on Learning Representations (ICLR 2019), 2019
442019
MUSE: Modularizing Unsupervised Sense Embeddings
GH Lee, YN Chen
Empirical Methods in Natural Language Processing (EMNLP 2017), 327-337, 2017
432017
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
H He, H Wang, GH Lee, Y Tian
International Conference on Learning Representations (ICLR 2019), 2019
412019
Cost-sensitive classification with deep learning using cost-aware pre-training
YA Chung, GH Lee, SW Yang
US Patent 10,614,361, 2020
332020
Adversarial Robustness Certificates: a Randomized Smoothing Approach
J Teng, GH Lee, Y Yuan
282019
Oblique Decision Trees from Derivatives of ReLU Networks
GH Lee, TS Jaakkola
International Conference on Learning Representations (ICLR 2020), 2020
232020
Functional Transparency for Structured Data: a Game-Theoretic Approach
GH Lee, W Jin, D Alvarez-Melis, TS Jaakkola
International Conference on Machine Learning (ICML 2019), 2019
232019
Graph-Relational Domain Adaptation
Z Xu, GH Lee, Y Wang, H Wang
International Conference on Learning Representations (ICLR 2022), 2022
192022
Canonicalizing bigsmiles for polymers with defined backbones
TS Lin, NJ Rebello, GH Lee, MA Morris, BD Olsen
ACS polymers Au 2 (6), 486-500, 2022
162022
Self-Supervised Learning of Appliance Usage
CY Hsu, A Zeitoun, GH Lee, D Katabi, T Jaakkola
International Conference on Learning Representations (ICLR 2020), 2020
132020
Bayesian Modelling and Monte Carlo Inference for GAN
H He, H Wang, GH Lee, Y Tian
The ICML 2018 workshop on Theoretical Foundations and Applications of Deep …, 2018
102018
LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda
GH Lee, SD Lin
International Conference on Data Mining (ICDM 2015), 823-828, 2015
102015
Game-Theoretic Interpretability for Temporal Modeling
GH Lee, D Alvarez-Melis, TS Jaakkola
The 5th Workshop on Fairness, Accountability, and Transparency in Machine …, 2018
82018
Taxonomy-Structured Domain Adaptation
T Liu, Z Xu, H He, GY Hao, GH Lee, H Wang
International Conference on Machine Learning (ICML 2023), 2023
32023
Toward implicit sample noise modeling: Deviation-driven matrix factorization
GH Lee, SW Yang, SD Lin
arXiv preprint arXiv:1610.09274, 2016
32016
Subject identification in behavioral sensing systems
D Katabi, RH Hristov, CY Hsu, GH Lee, M Zhao
US Patent App. 16/860,591, 2020
22020
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Articles 1–20