Yuxiang Wang

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

2022 · arXiv (Cornell University)

Per-example gradient clipping is a key algorithmic step that enables practical differential private (DP) training for deep learning models. The choice of clipping threshold R, however, is vital for achieving high accuracy under DP. We …

FCC : A Fast-Converging Low-Latency Congestion Control Algorithm for Datacenter RDMA Network

2024

Congestion control plays a crucial role in ensuring the performance of data center networks. However, mainstream RDMA congestion control algorithms still face challenges such as slow congestion response and poor deployability. In this paper, we …

Accelerating Virtual Directed Evolution of Proteins via Reinforcement Learning

2025 · bioRxiv (Cold Spring Harbor Laboratory)

Abstract With the advancement of machine learning methods, the protein fitness landscape can be predicted, providing reliable guidance in the selection of advantageous mutations for the directed evolution of proteins. However, the potential multiple mutational …

KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities

2025

Document-level relation extraction (Doc-RE) aims to extract relations between entities across multiple sentences. Therefore, Doc-RE requires more comprehensive reasoning abilities like humans, involving complex cross-sentence interactions between entities, contexts, and external general knowledge, compared to …