Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors. - Chun-Nam Yu; Russell Greiner; Hsiu-Chin Lin; Vickie Baracos (NIPS, 2011)

A Generalized Loop Correction Method for Approximate Inference in Graphical Models. - Siamak Ravanbakhsh; Chun-Nam Yu; Russell Greiner (ICML, 2012)

Transductive Learning of Structural SVMs via Prior Knowledge Constraints. - Chun-Nam Yu (AISTATS, 2012)

Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification. - Junfeng Wen; Chun-Nam Yu; Russell Greiner (ICML, 2014)

Demand Forecasting in Smart Grids. - Piotr Mirowski; Sining Chen; Tin Kam Ho; Chun-Nam Yu (Bell Labs Tech. J., 2014)

Online Algorithm for Approximate Quantile Queries on Sliding Windows. - Chun-Nam Yu; Michael S. Crouch; Ruichuan Chen; Alessandra Sala (SEA, 2016)

Convolutional Neural Networks for Figure Extraction in Historical Technical Documents. - Chun-Nam Yu; Caleb Carson Levy; Iraj Saniee (ICDAR, 2017)

DyMo: Dynamic monitoring of large scale LTE-Multicast systems. - Yigal Bejerano; Chandru Raman; Chun-Nam Yu; Varun Gupta 002; Craig Gutterman; Tomas Young; Hugo Infante; Yousef Abdelmalek; Gil Zussman (INFOCOM, 2017)

A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids. - Chun-Nam Yu; Piotr Mirowski; Tin Kam Ho (IEEE Trans. Smart Grid, 2017)

A Direct Approach to Robust Deep Learning Using Adversarial Networks. - Huaxia Wang; Chun-Nam Yu (ICLR (Poster), 2019)

DyMo: Dynamic Monitoring of Large-Scale LTE-Multicast Systems. - Yigal Bejerano; Chandrashekhar Raman; Chun-Nam Yu; Varun Gupta 002; Craig Gutterman; Tomas Young; Hugo Infante; Yousef Abdelmalek; Gil Zussman (IEEE/ACM Trans. Netw., 2019)

A Study on Representation Transfer for Few-Shot Learning. - Chun-Nam Yu; Yi Xie (CoRR, 2022)

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates. - Md. Kowsher; Tara Esmaeilbeig; Chun-Nam Yu; Mojtaba Soltanalian; Niloofar Yousefi 001 (CoRR, 2024)

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates. - Md. Kowsher; Tara Esmaeilbeig; Chun-Nam Yu; Chen Chen; Mojtaba Soltanalian; Niloofar Yousefi 001 (ACL (1), 2025)

Predicting Through Generation: Why Generation Is Better for Prediction. - Md. Kowsher; Nusrat Jahan Prottasha; Prakash Bhat; Chun-Nam Yu; Mojtaba Soltanalian; Ivan Garibay; Ozlem O. Garibay; Chen Chen; Niloofar Yousefi 001 (ACL (1), 2025)

Does Self-Attention Need Separate Weights in Transformers? - Md. Kowsher; Nusrat Jahan Prottasha; Chun-Nam Yu; Ozlem O. Garibay; Niloofar Yousefi 001 (NAACL (Industry Track), 2025)