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Chun-Nam Yu
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2020 – today
- 2022
- [i4]Chun-Nam Yu, Yi Xie:
A Study on Representation Transfer for Few-Shot Learning. CoRR abs/2209.02073 (2022)
2010 – 2019
- 2019
- [j3]Yigal Bejerano, Chandrashekhar Raman, Chun-Nam Yu, Varun Gupta, Craig Gutterman, Tomas Young, Hugo Infante, Yousef Abdelmalek, Gil Zussman:
DyMo: Dynamic Monitoring of Large-Scale LTE-Multicast Systems. IEEE/ACM Trans. Netw. 27(1): 258-271 (2019) - [c8]Huaxia Wang, Chun-Nam Yu:
A Direct Approach to Robust Deep Learning Using Adversarial Networks. ICLR (Poster) 2019 - [i3]Huaxia Wang, Chun-Nam Yu:
A Direct Approach to Robust Deep Learning Using Adversarial Networks. CoRR abs/1905.09591 (2019) - 2017
- [j2]Chun-Nam Yu, Piotr Mirowski, Tin Kam Ho:
A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids. IEEE Trans. Smart Grid 8(2): 738-748 (2017) - [c7]Chun-Nam Yu, Caleb Carson Levy, Iraj Saniee:
Convolutional Neural Networks for Figure Extraction in Historical Technical Documents. ICDAR 2017: 789-795 - [c6]Yigal Bejerano, Chandru Raman, Chun-Nam Yu, Varun Gupta, Craig Gutterman, Tomas Young, Hugo Infante, Yousef Abdelmalek, Gil Zussman:
DyMo: Dynamic monitoring of large scale LTE-Multicast systems. INFOCOM 2017: 1-9 - [i2]Yigal Bejerano, Chandru Raman, Chun-Nam Yu, Varun Gupta, Craig Gutterman, Tomas Young, Hugo Infante, Yousef Abdelmalek, Gil Zussman:
DyMo: Dynamic Monitoring of Large Scale LTE-Multicast Systems. CoRR abs/1701.02809 (2017) - 2016
- [c5]Chun-Nam Yu, Michael S. Crouch, Ruichuan Chen, Alessandra Sala:
Online Algorithm for Approximate Quantile Queries on Sliding Windows. SEA 2016: 369-384 - 2014
- [j1]Piotr Mirowski, Sining Chen, Tin Kam Ho, Chun-Nam Yu:
Demand Forecasting in Smart Grids. Bell Labs Tech. J. 18(4): 135-158 (2014) - [c4]Junfeng Wen, Chun-Nam Yu, Russell Greiner:
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification. ICML 2014: 631-639 - 2012
- [c3]Siamak Ravanbakhsh, Chun-Nam Yu, Russell Greiner:
A Generalized Loop Correction Method for Approximate Inference in Graphical Models. ICML 2012 - [c2]Chun-Nam Yu:
Transductive Learning of Structural SVMs via Prior Knowledge Constraints. AISTATS 2012: 1367-1376 - [i1]Siamak Ravanbakhsh, Chun-Nam Yu, Russell Greiner:
A Generalized Loop Correction Method for Approximate Inference in Graphical Models. CoRR abs/1206.4654 (2012) - 2011
- [c1]Chun-Nam Yu, Russell Greiner, Hsiu-Chin Lin, Vickie Baracos:
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors. NIPS 2011: 1845-1853
Coauthor Index
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