Sparse Optimization Based on Non-convex ℓ 1/2 Regularization for Deep Neural Networks. - Anda Tang; Rongrong Ma; Jianyu Miao; Lingfeng Niu (ICDS, 2019)

A survey of sparse regularization based compression methods. - Anda Tang; Pei Quan; Lingfeng Niu; Yong Shi 001 (ITQM, 2021)

Sparse Learning for Neural Networks with A Generalized Sparse Regularization. - Anda Tang; Tongsheng Yao; Lingfeng Niu; Yong Shi 001 (ITQM, 2022)

Training Compact DNNs with ℓ1/2 Regularization. - Anda Tang; Lingfeng Niu; Jianyu Miao; Peng Zhang 001 (Pattern Recognit., 2023)

Sparse optimization guided pruning for neural networks. - Yong Shi 001; Anda Tang; Lingfeng Niu; Ruizhi Zhou (Neurocomputing, 2024)

Stepsize anything: A unified learning rate schedule for budgeted-iteration training. - Anda Tang; Yiming Dong; Yutao Zeng; Xun Zhou; Zhouchen Lin (CoRR, 2025)