Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. - Fanghui Xue; Jack Xin; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi (AI4I, 2019)

Learning Sparse Neural Networks via ell _0 and T ell _1 by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification. - Fanghui Xue; Jack Xin (WCGO, 2019)

Learning Sparse Neural Networks via $ ell_0$ and T$ ell_1$ by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification. - Fanghui Xue; Jack Xin (CoRR, 2019)

RARTS: a Relaxed Architecture Search Method. - Fanghui Xue; Yingyong Qi; Jack Xin (CoRR, 2020)

Network Compression via Cooperative Architecture Search and Distillation. - Fanghui Xue; Jack Xin (AI4I, 2021)

Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle. - Biao Yang; Fanghui Xue; Yingyong Qi; Jack Xin (ISVC (2), 2021)

RARTS: An Efficient First-Order Relaxed Architecture Search Method. - Fanghui Xue; Yingyong Qi; Jack Xin (IEEE Access, 2022)

Searching Intrinsic Dimensions of Vision Transformers. - Fanghui Xue; Biao Yang; Yingyong Qi; Jack Xin (CoRR, 2022)

A Proximal Algorithm for Network Slimming. - Kevin Bui; Fanghui Xue; Fredrick Park; Yingyong Qi; Jack Xin (LOD (2), 2023)

AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. - Yunling Zheng; Zeyi Xu; Fanghui Xue; Biao Yang; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (ISVC (1), 2024)

SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging. - Nhat Thanh Tran; Fanghui Xue; Shuai Zhang 009; Jiancheng Lyu; Yunling Zheng; Yingyong Qi; Jack Xin (CoRR, 2025)