Cuong Pham

11 papers A* 1A 2Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models. CoRR Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Jianfei Cai, Thanh-Toan Do
2025	J	`jnl`	Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models. CoRR Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Thanh-Toan Do
2025	J	`jnl`	Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models. CoRR Dung Anh Hoang, Cuong Pham, Cuong Nguyen, Trung Le, Jianfei Cai, Thanh-Toan Do
2024	A	`conf`	Frequency Attention for Knowledge Distillation. WACV Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
2024	J	`jnl`	Frequency Attention for Knowledge Distillation. CoRR Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
2024	J	`jnl`	MetaAug: Meta-Data Augmentation for Post-Training Quantization. CoRR Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2024	—	`conf`	MetaAug: Meta-data Augmentation for Post-training Quantization. ECCV (27) Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2024	J	`jnl`	Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. CoRR Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
2024	A*	`conf`	Sharpness-Aware Data Generation for Zero-shot Quantization. ICML Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do
2023	A	`conf`	Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. WACV Cuong Pham, Tuan Hoang, Thanh-Toan Do
2022	J	`jnl`	Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. CoRR Cuong Pham, Tuan Hoang, Thanh-Toan Do