10 citations · 20 across the 8 of their papers we have counts for
8 papers
When Decentralized Optimization Meets Federated Learning
Hongchang Gao, My T. Thai, Jie Wu
Federated learning is a new learning paradigm for extracting knowledge from distributed data. Due to its favorable properties in preserving privacy and saving communication costs,…
Persistent hyperdigraph homology and persistent hyperdigraph Laplacians
Dong Chen, Jian Liu, Jie Wu +1
Hypergraphs are useful mathematical models for describing complex relationships among members of a structured graph, while hyperdigraphs serve as a generalization that can encode a…
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation
Jie Qin, Jie Wu, Pengxiang Yan +8
Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary categories of text-based descriptions, which popularizes the segmentation system to more gen…
A Comprehensive Study on Optimizing Systems with Data Processing Units
Shangyi Sun, Chunpu Huang, Rui Zhang +4
New hardware, such as SmartNICs, has been released to offload network applications in data centers. Off-path SmartNICs, a type of multi-core SoC SmartNICs, have attracted the atten…
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation
Jie Qin, Jie Wu, Ming Li +3
Albeit with varying degrees of progress in the field of Semi-Supervised Semantic Segmentation, most of its recent successes are involved in unwieldy models and the lightweight solu…
On the primes in floor function sets
Rong Ma, Jie Wu
Let [t] be the integral part of the real number t and let 1 P be the characteristic function of the primes. Denote by G (x) the number of primes in the floor function set G(x)…