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Yangyu Tao
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2020 – today
- 2023
- [j5]Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui:
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent. Proc. VLDB Endow. 16(12): 3781-3794 (2023) - [j4]Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui:
P2CG: a privacy preserving collaborative graph neural network training framework. VLDB J. 32(4): 717-736 (2023) - [c11]Youhuan Li, Hangyu Zheng, Lei Zou, Xiaosen Li, Ziming Li, Pin Xiao, Yangyu Tao, Zheng Qin:
VEND: Vertex Encoding for Edge Nonexistence Determination. ICDE 2023: 328-340 - [i9]Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui:
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent. CoRR abs/2303.02868 (2023) - 2022
- [c10]Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. KDD 2022: 4560-4570 - [c9]Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui:
K-core decomposition on super large graphs with limited resources. SAC 2022: 413-422 - [c8]Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui:
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. SIGMOD Conference 2022: 1316-1330 - [c7]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. WWW 2022: 1817-1828 - [i8]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm. CoRR abs/2203.00638 (2022) - [i7]Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. CoRR abs/2206.04355 (2022) - [i6]Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui:
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. CoRR abs/2206.07975 (2022) - 2021
- [j3]Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework. Proc. VLDB Endow. 15(2): 312-320 (2021) - [c6]Bo Wang, Zhenyu Hou, Yangyu Tao, Yifeng Lu, Chao Li, Tao Guan, Xiaowei Jiang, Jinlei Jiang:
Swift: Reliable and Low-Latency Data Processing at Cloud Scale. ICDE 2021: 2387-2398 - [c5]Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Node Dependent Local Smoothing for Scalable Graph Learning. NeurIPS 2021: 20321-20332 - [c4]Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui:
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning. SIGMOD Conference 2021: 563-576 - [i5]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. CoRR abs/2104.09880 (2021) - [i4]Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. CoRR abs/2108.10097 (2021) - [i3]Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Node Dependent Local Smoothing for Scalable Graph Learning. CoRR abs/2110.14377 (2021) - [i2]Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework. CoRR abs/2112.07221 (2021) - [i1]Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui:
K-Core Decomposition on Super Large Graphs with Limited Resources. CoRR abs/2112.14840 (2021)
2010 – 2019
- 2014
- [j2]Zhuo Zhang, Chao Li, Yangyu Tao, Renyu Yang, Hong Tang, Jie Xu:
Fuxi: a Fault-Tolerant Resource Management and Job Scheduling System at Internet Scale. Proc. VLDB Endow. 7(13): 1393-1404 (2014)
2000 – 2009
- 2009
- [j1]John Wright, Yi Ma, Yangyu Tao, Zhouchen Lin, Heung-Yeung Shum:
Classification via Minimum Incremental Coding Length. SIAM J. Imaging Sci. 2(2): 367-395 (2009) - [c3]Yangyu Tao, Lin Liang, Yingqing Xu:
Learning probabilistic structure to group image edges for object extraction. ICME 2009: 310-313 - [c2]Yangyu Tao, Lin Liang, Yingqing Xu:
Robust satellite image analysis using probabilistic learning based graph optimization. WIAMIS 2009: 141-144 - 2007
- [c1]John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-Yeung Shum:
Classification via Minimum Incremental Coding Length (MICL). NIPS 2007: 1633-1640
Coauthor Index
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last updated on 2023-10-24 20:09 CEST by the dblp team
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