Songbai Yan

发表

Exploring Connections Between Active Learning and Model Extraction

Somesh Jha, Kamalika Chaudhuri, Varun Chandrasekaran, 2018, USENIX Security Symposium.

Construction of a Prognostic Model for KIRC and Identification of Drugs Sensitive to Therapies - A Comprehensive Biological Analysis Based on m6A-Related LncRNAs

Dian Xia, L-J Bi, Qi Liu, 2022, Frontiers in Oncology.

Screening of possible biomarkers and therapeutic targets in kidney renal clear cell carcinoma: Evidence from bioinformatic analysis

L. Fang, Qi Wang, Jinyou Wang, 2022, Frontiers in Oncology.

Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces

Chicheng Zhang, Songbai Yan, Chicheng Zhang, 2017, NIPS.

The Label Complexity of Active Learning from Observational Data

Tara Javidi, Kamalika Chaudhuri, Songbai Yan, 2019, NeurIPS.

Model Extraction and Active Learning

Kamalika Chaudhuri, S. Jha, Varun Chandrasekaran, 2018, ArXiv.

Revisiting Perceptron: Efficient and Label-Optimal Active Learning of Halfspaces pdf

Chicheng Zhang, Songbai Yan, Chicheng Zhang, 2017, ArXiv.

Active Learning from Imperfect Labelers

Tara Javidi, Kamalika Chaudhuri, Songbai Yan, 2016, NIPS.

Algorithms for Query-Efficient Active Learning

Songbai Yan, Songbai Yan, 2019 .

Active Learning with Logged Data pdf

Tara Javidi, Kamalika Chaudhuri, Songbai Yan, 2018, ICML.

Learning a generative classifier from label proportions

Liwei Wang, Wensheng Zhang, Jufu Feng, 2014, Neurocomputing.