Deyu Cao

According to our database, Deyu Cao authored at least 4 papers between 2025 and 2026.

Collaborative distances:

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

2026

Sliced-Wasserstein Distribution Alignment Loss Improves the Ultra-Low-Bit Quantization of Large Language Models.

Deyu Cao, Yixin Yin, Samin Aref

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025

Flows and Diffusions on the Neural Manifold.

Daniel Saragih, Deyu Cao, Tejas Balaji

CoRR, July, 2025

Flow to Learn: Flow Matching on Neural Network Parameters.

Daniel Saragih, Deyu Cao, Tejas Balaji, Ashwin Santhosh

CoRR, March, 2025

Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining.

Deyu Cao, Samin Aref

Proceedings of the Modeling Decisions for Artificial Intelligence, 2025