Zhi Yang

发表

Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce

Jiawei Jiang, Bin Cui, Yingxia Shao, 2021, SIGMOD Conference.

Evaluating Deep Graph Neural Networks pdf

Yikuan Xia, Zhi Yang, Bin Cui, 2021, ArXiv.

VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition

Bolin Ding, Jiawei Jiang, Jingren Zhou, 2021, The VLDB Journal.

Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization

Zhi Yang, Yang Li, Yu Shen, 2021, Proc. VLDB Endow..

Graph Attention Multi-Layer Perceptron pdf

Ziqi Yin, Zhi Yang, Bin Cui, 2021, ArXiv.

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing pdf

Zhi Yang, Yang Li, Bin Cui, 2021, ArXiv.

Node Dependent Local Smoothing for Scalable Graph Learning pdf

Zhi Yang, Yang Li, Bin Cui, 2021, NeurIPS.

OpenBox: A Generalized Black-box Optimization Service

Jiawei Jiang, Bin Cui, Ce Zhang, 2021, KDD.

CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract)

Jiawei Jiang, Bin Cui, Yingxia Shao, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks

Lei Chen, Zhi Yang, Yang Li, 2021, SIGMOD Conference.

RIM: Reliable Influence-based Active Learning on Graphs pdf

Zhi Yang, Meng Cao, Bin Cui, 2021, NeurIPS.

ROD: Reception-aware Online Distillation for Sparse Graphs

Xupeng Miao, Zhi Yang, Yang Li, 2021, KDD.