Yingxia Shao (邵蓥侠)

Associate Professor, PhD Advisor

Email: shaoyx [AT] bupt.edu.cn


Yingxia Shao is an Associate Professor at School of Computer Science, Beijing University of Posts and Telecommunications. He obtained his PhD from Peking University 2016, advised by Prof. Bin Cui. He worked with Prof. Lei Chen as a visiting scholar at HKUST in 2013 and 2014. He has served in the Technical Program Committee of various international conferences including VLDB, KDD, AAAI, IJCAI, BigData, APWeb-WAIM and MDM. He is serving as a reviewer of international journals including VLDBJ, WWWJ, DSE. He was awarded Google PhD Fellowship (2014), MSRA Fellowship (2014), PhD National Scholarship of MOE China (2014), ACM SIGMOD China Doctoral Dissertation Award (2017), MSRA Star-Track Young Scholar Program (2019).

He is a member of ACM, member of IEEE, member of CCF and member of China Database technical committee.

NOTE: I'm looking for highly self-motivated students to work with me as PhD and/or master students. Candidates who are interested please contact me directly.

Research Interests

Knowledge Graph Management, Network/Graph Representation, Large-scale Graph Processing & Analysis

Selected Publications

More articles on Google Scholar or here.

  1. Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen, UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling, ICDE 2021, Code
  2. Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung, Heterogeneous Hypergraph Embedding for Graph Classification, WSDM 2021
  3. Xupeng Miao, Linxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang, CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs, TKDE (to appear)
  4. Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, Lei Chen, Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs, SIGMOD 2020
  5. Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui, Reliable Data Distillation on Graph Convolutional Network, SIGMOD 2020
  6. Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui, Efficient Diversity-Driven Ensemble for Deep Neural Networks, ICDE 2020
  7. Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui, Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript, ICML 2020
  8. Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui, Efficient Automatic CASH via Rising Bandits, AAAI 2020
  9. Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui, SKCompress: compressing sparse and nonuniform gradient in distributed machine learning. The VLDB Journal (2020)
  10. Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang and Xiaofang Zhou, Decentralized Embedding Framework for Large-scale Networks, DASFAA 2020 (Best Student Paper Award)
  11. Jiaxu Liu, Yingxia Shao, Sen Su, Multiple Local Community Detection via High-Quality Seed Identification, APWeb-WAIM 2020
  12. Minxu zhang, Yingxia Shao, Kai Lei, Yuesheng Zhu, Bin Cui, Densely-connected Transformer with Co-attentive Information for Matching Text Sequences, APWeb-WAIM 2020
  13. Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui. Snapshot Boosting: A Fast Ensemble Framework for Deep Neural Networks. Sci China Inf Sci, 2020, 63(1): 112102
  14. Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu, Bin Cui, Sys-TM: A Fast and General Topic Modeling System, TKDE (to appear)
  15. Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du, Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model, CIKM 2019
  16. Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui. An Experimental Evaluation of Large Scale GBDT Systems. VLDB 2019
  17. Yingxia Shao, Jialin Liu, Shuyang Shi, Yuemei Zhang, Bin Cui. Fast De-anonymization of Social Networks with Structural Information, Data Science and Engineering, (2019) 4: 76.
  18. Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao. PS2: Parameter Server on Spark. SIGMOD 2019
  19. Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen. NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding, ICDE 2019
  20. Jinyang Gao, Junjie Yao, Yingxia Shao. Towards Reliable Learning for High Stakes Applications, AAAI 2019
  21. Haobao Sun, Yingxia Shao, Jiawei Jiang, Bin Cui, Kai Lei, Yu Xu, Jiang Wang. Sparse Gradient Compression for Distributed SGD, DASFAA 2019
  22. Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui. FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search. APWeb-WAIM 2019

Academic Services

  • Selected Conference PC Membership
    • VLDB: 2019
    • KDD: 2019, 2020
    • AAAI: 2019, 2020, 2021
    • IJCAI: 2018, 2019, 2020, 2021
    • DASFAA: 2020 (Publicity Co-Chair)
    • APWeb-WAIM: 2017, 2018, 2019, 2020
  • Journal Reviewers

Research Grants

  • Research on Key Techniques of Knowledge Graph-Based Social Media Management and Analysis. NSFC No. U1936104, 2020-2022
  • Querying similar nodes on large-scale knowledge graphs. NSFC No. 61702015, 2018-2020
  • Ad-hoc generation of weighted graph with complex relation on large-scale knowledge graph. China Postdoctoral Science Foundation No. 2017M610020, 2017-2018