35 citations · 42 across the 8 of their papers we have counts for
8 papers
Implementation-Oblivious Transparent Checkpoint-Restart for MPI
Yao Xu, Leonid Belyaev, Twinkle Jain +3
This work presents experience with traditional use cases of checkpointing on a novel platform. A single codebase (MANA) transparently checkpoints production workloads for major ava…
Collective Vector Clocks: Low-Overhead Transparent Checkpointing for MPI
Yao Xu, Gene Cooperman
Taking snapshots of the state of a distributed computation is useful for off-line analysis of the computational state, for later restarting from the saved snapshot, for cloning a c…
Scalable colored sub-ambient radiative coolers based on a polymer-Tamm photonic structure
Tianzhe Huang, Qixiang Chen, Jinhua Huang +5
Daytime radiative coolers cool objects below the air temperature without any electricity input, while most of them are limited by a silvery or whitish appearance. Colored daytime r…
MANA-2.0: A Future-Proof Design for Transparent Checkpointing of MPI at Scale
Yao Xu, Zhengji Zhao, Rohan Garg +3
MANA-2.0 is a scalable, future-proof design for transparent checkpointing of MPI-based computations. Its network transparency ("network-agnostic") feature ensures that MANA-2.0 wil…
Multi-Graph Tensor Networks
Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
The irregular and multi-modal nature of numerous modern data sources poses serious challenges for traditional deep learning algorithms. To this end, recent efforts have generalized…
Training few-shot classification via the perspective of minibatch and pretraining
Meiyu Huang, Xueshuang Xiang, Yao Xu
Few-shot classification is a challenging task which aims to formulate the ability of humans to learn concepts from limited prior data and has drawn considerable attention in machin…
Towards GANs' Approximation Ability
Xuejiao Liu, Yao Xu, Xueshuang Xiang
Generative adversarial networks (GANs) have attracted intense interest in the field of generative models. However, few investigations focusing either on the theoretical analysis or…
Task-Driven Common Representation Learning via Bridge Neural Network
Yao Xu, Xueshuang Xiang, Meiyu Huang
This paper introduces a novel deep learning based method, named bridge neural network (BNN) to dig the potential relationship between two given data sources task by task. The propo…