Binchuan Qi

According to our database, Binchuan Qi authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Conjugate Learning Theory: Uncovering the Mechanisms of Trainability and Generalization in Deep Neural Networks.

Binchuan Qi

CoRR, February, 2026

Understanding non-convex optimization in differentiable models via Fenchel-Young loss: Theory and applications to deep learning.

Binchuan Qi, Wei Gong, Li Li

Neurocomputing, 2026

2025

Correction: Explanation framework for industrial recommendation systems based on the generative adversarial network with embedding constraints.

Binchuan Qi, Wei Gong, Li Li

Auton. Intell. Syst., December, 2025

Explanation framework for industrial recommendation systems based on the generative adversarial network with embedding constraints.

Binchuan Qi, Wei Gong, Li Li

Auton. Intell. Syst., December, 2025

Towards understanding the optimization mechanisms in deep learning.

Binchuan Qi, Wei Gong, Li Li

Appl. Intell., October, 2025

2024

Extended convexity and smoothness and their applications in deep learning.

Binchuan Qi

CoRR, 2024

General Distribution Learning: A theoretical framework for Deep Learning.

Binchuan Qi, Li Li, Wei Gong

CoRR, 2024

Error Bounds of Supervised Classification from Information-Theoretic Perspective.

Binchuan Qi, Wei Gong, Li Li

CoRR, 2024