Biqin Song

According to our database, Biqin Song authored at least 11 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond False Discovery Rate: A Stepdown Group SLOPE Approach for Grouped Variable Selection.

Xuelin Zhang, Jingxuan Liang, Xinyue Liu, Hong Chen, Biqin Song

CoRR, March, 2026

Integral-based Knockoffs Inference for Partially Linear Models.

Hao Wang, Biqin Song, Rushi Lan, Hong Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Controlled Feature Interaction Selection for Deep Sparse Networks.

Yuhang Qiu, Biqin Song, Hong Chen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery.

Hao Wang, Biqin Song, Hao Deng, Hong Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2022

Gradient Learning under Tilted Empirical Risk Minimization.

Liyuan Liu, Biqin Song, Zhibin Pan, Chuanwu Yang, Chi Xiao, Weifu Li

Entropy, 2022

2021

Error Bound of Mode-Based Additive Models.

Hao Deng, Jianghong Chen, Biqin Song, Zhibin Pan

Entropy, 2021

2019

Regularized modal regression with data-dependent hypothesis spaces.

Yingjie Wang, Hong Chen, Biqin Song, Han Li

Int. J. Wavelets Multiresolution Inf. Process., 2019

Robust Variable Selection and Estimation Based on Kernel Modal Regression.

Changying Guo, Biqin Song, Yingjie Wang, Hong Chen, Huijuan Xiong

Entropy, 2019

2017

Error analysis of regularized least-square regression with Fredholm kernel.

Yanfang Tao, Peipei Yuan, Biqin Song

Neurocomputing, 2017

2016

Example-based super-resolution via social images.

Yi Tang, Hong Chen, Zhanwen Liu, Biqin Song, Qi Wang

Neurocomputing, 2016

2014

Power line detection from optical images.

Biqin Song, Xuelong Li

Neurocomputing, 2014