Bin Gu

12

Papers

44

Total Citations

Papers (12)

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption

Federated Causal Discovery from Heterogeneous Data

Dynamic Spiking Graph Neural Networks

Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging

NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks

Query Efficient Black-Box Visual Prompting with Subspace Learning

Double Momentum Method for Lower-Level Constrained Bilevel Optimization

Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models

Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization

Enhancing Training of Spiking Neural Network with Stochastic Latency

Iterative Regularization with K-support Norm: An Important Complement to Sparse Recovery