Yangyu Tao

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 26

Top Topics

Limited Resources

K Nearest Neighbour

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui
Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs. CoRR (2024)
Hao Wu, Xingjian Shi, Ziyue Huang, Penghao Zhao, Wei Xiong, Jinbao Xue, Yangyu Tao, Xiaomeng Huang, Weiyan Wang
BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics. CoRR (2024)
Zhimin Li, Jianwei Zhang, Qin Lin, Jiangfeng Xiong, Yanxin Long, Xinchi Deng, Yingfang Zhang, Xingchao Liu, Minbin Huang, Zedong Xiao, Dayou Chen, Jiajun He, Jiahao Li, Wenyue Li, Chen Zhang, Rongwei Quan, Jianxiang Lu, Jiabin Huang, Xiaoyan Yuan, Xiaoxiao Zheng, Yixuan Li, Jihong Zhang, Chao Zhang, Meng Chen, Jie Liu, Zheng Fang, Weiyan Wang, Jinbao Xue, Yangyu Tao, Jianchen Zhu, Kai Liu, Sihuan Lin, Yifu Sun, Yun Li, Dongdong Wang, Mingtao Chen, Zhichao Hu, Xiao Xiao, Yan Chen, Yuhong Liu, Wei Liu, Di Wang, Yong Yang, Jie Jiang, Qinglin Lu
Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding. CoRR (2024)
Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling. CoRR (2024)
Wentao Zhang, Guochen Yan, Yu Shen, Yang Ling, Yangyu Tao, Bin Cui, Jian Tang
NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. SIGMOD Conference Companion (2024)
Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui
CG: a privacy preserving collaborative graph neural network training framework. VLDB J. 32 (4) (2023)
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 (2023)
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) (2023)
Zeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
Graph-Enforced Neural Network for Attributed Graph Clustering. APWeb-WAIM (1) (2023)
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)
Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui
Graph Attention Multi-Layer Perceptron. CoRR (2022)
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 (2022)
Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. CoRR (2022)
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)
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)
Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. SIGMOD Conference (2022)
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)
Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui
Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning. SIGMOD Conference (2021)
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 (2021)
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 (2021)
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 (2021)
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)
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)
Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui
Graph Attention Multi-Layer Perceptron. CoRR (2021)
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 (2021)
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) (2021)
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) (2014)
Yangyu Tao, Lin Liang, Yingqing Xu
Robust satellite image analysis using probabilistic learning based graph optimization. WIAMIS (2009)
John Wright, Yi Ma, Yangyu Tao, Zhouchen Lin, Heung-Yeung Shum
Classification via Minimum Incremental Coding Length. SIAM J. Imaging Sci. 2 (2) (2009)
Yangyu Tao, Lin Liang, Yingqing Xu
Learning probabilistic structure to group image edges for object extraction. ICME (2009)
John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-Yeung Shum
Classification via Minimum Incremental Coding Length (MICL). NIPS (2007)