Chun-Nam Yu

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 9

Top Topics

Historical Data

Top Venues

Bell Labs Tech. J.

IEEE/ACM Trans. Netw.

Publications

Chun-Nam Yu, Yi Xie
A Study on Representation Transfer for Few-Shot Learning. CoRR (2022)
Huaxia Wang, Chun-Nam Yu
A Direct Approach to Robust Deep Learning Using Adversarial Networks. ICLR (Poster) (2019)
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) (2019)
Huaxia Wang, Chun-Nam Yu
A Direct Approach to Robust Deep Learning Using Adversarial Networks. CoRR (2019)
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)
Chun-Nam Yu, Caleb Carson Levy, Iraj Saniee
Convolutional Neural Networks for Figure Extraction in Historical Technical Documents. ICDAR (2017)
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) (2017)
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 (2017)
Chun-Nam Yu, Michael S. Crouch, Ruichuan Chen, Alessandra Sala
Online Algorithm for Approximate Quantile Queries on Sliding Windows. SEA (2016)
Piotr Mirowski, Sining Chen, Tin Kam Ho, Chun-Nam Yu
Demand Forecasting in Smart Grids. Bell Labs Tech. J. 18 (4) (2014)
Junfeng Wen, Chun-Nam Yu, Russell Greiner
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification. ICML (2014)
Chun-Nam Yu
Transductive Learning of Structural SVMs via Prior Knowledge Constraints. AISTATS (2012)
Siamak Ravanbakhsh, Chun-Nam Yu, Russell Greiner
A Generalized Loop Correction Method for Approximate Inference in Graphical Models. ICML (2012)
Siamak Ravanbakhsh, Chun-Nam Yu, Russell Greiner
A Generalized Loop Correction Method for Approximate Inference in Graphical Models CoRR (2012)
Chun-Nam Yu, Russell Greiner, Hsiu-Chin Lin, Vickie Baracos
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors. NIPS (2011)