Zhu Liao

According to our database, Zhu Liao authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Layer Collapse Can be Induced by Unstructured Pruning.

Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

Trans. Mach. Learn. Res., 2026

2025

TCone-YOLO: enhanced long-range and low-parameter traffic cone detection for autonomous racing cars.

Wei Huang, Zhu Liao, Zhichen Wei, Yihua Lu, Hai Li

Signal Image Video Process., December, 2025

Phase Sensitivity-Based Fringe Angle Optimization in Telecentric Fringe Projection Profilometry.

Zhu Liao, Hai Li, Weibin Cai, Yutao Zhong, Xianmin Zhang

IEEE Trans. Instrum. Meas., 2025

LaCoOT: Layer Collapse through Optimal Transport.

Victor Quétu, Zhu Liao, Nour Hezbri, Fabio Pizzati, Enzo Tartaglione

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

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

2024

Flexible Calibration of the Telecentric Vision Systems Using Only Planar Calibration Target.

Hai Li, Zhu Liao, Weibin Cai, Yutao Zhong, Xianmin Zhang

IEEE Trans. Instrum. Meas., 2024

NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer.

Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

CoRR, 2024

The Simpler The Better: An Entropy-Based Importance Metric to Reduce Neural Networks' Depth.

Victor Quétu, Zhu Liao, Enzo Tartaglione

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?

Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023