Puning Zhao

From Coarse to Fine: Recursive Audio-Visual Semantic Enhancement for Speech Separation

Dynamic Target Attack

H+: An Efficient Similarity-Aware Aggregation for Byzantine Resilient Federated Learning

Enhancing Learning with Label Differential Privacy by Vector Approximation

Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives

Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints

Contextual Bandits for Unbounded Context Distributions

Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients

Learning with User-Level Local Differential Privacy