Cuong Pham

According to our database, Cuong Pham authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models.

Dung Anh Hoang, Cuong Pham, Cuong Nguyen, Trung Le, Jianfei Cai, Thanh-Toan Do

CoRR, December, 2025

Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models.

Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Jianfei Cai, Thanh-Toan Do

CoRR, November, 2025

Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models.

Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Thanh-Toan Do

CoRR, November, 2025

2024

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning.

Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do

CoRR, 2024

Frequency Attention for Knowledge Distillation.

Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Sharpness-Aware Data Generation for Zero-shot Quantization.

Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MetaAug: Meta-data Augmentation for Post-training Quantization.

Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks.

Cuong Pham, Tuan Hoang, Thanh-Toan Do

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