Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? - Zhu Liao; Victor Quétu; Van-Tam Nguyen; Enzo Tartaglione (ICCV (Workshops), 2023)

The Simpler The Better: An Entropy-Based Importance Metric to Reduce Neural Networks' Depth. - Victor Quétu; Zhu Liao; Enzo Tartaglione (ECML/PKDD (6), 2024)

NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer. - Zhu Liao; Victor Quétu; Van-Tam Nguyen; Enzo Tartaglione (CoRR, 2024)

Flexible Calibration of the Telecentric Vision Systems Using Only Planar Calibration Target. - Hai Li; Zhu Liao; Weibin Cai; Yutao Zhong 003; Xianmin Zhang (IEEE Trans. Instrum. Meas., 2024)

Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. - Zhu Liao; Nour Hezbri; Victor Quétu; Van-Tam Nguyen; Enzo Tartaglione (AAAI, 2025)

Phase Sensitivity-Based Fringe Angle Optimization in Telecentric Fringe Projection Profilometry. - Zhu Liao; Hai Li; Weibin Cai; Yutao Zhong 003; Xianmin Zhang (IEEE Trans. Instrum. Meas., 2025)