Hao Zhang

Hao Zhang

Research Scientist at Huawei Cloud Database Innovation Lab

Hao Zhang

I am a research scientist at Huawei Cloud Database Innovation Lab, recruited through the TopMinds program. I obtained my PhD degree from the Database Group at The Chinese University of Hong Kong in 2022 under the supervision of Prof. Jeffrey Xu Yu, prior to that I obtianed my B.E. degree from the HongYi Honor Class of Wuhan University in 2017.

My research interests lie in query optimization and execution for large-scale OLAP queries, with a focus on two main areas:

  1. Exploiting AI for Data Systems:
    • Leveraging Tensor Computation Runtime (TCR) as a backend to support various data analytic tasks, including relational algebra queries, subgraph graph queries, graph analytic queries, and ANNs.
    • Implementing machine learning-based query optimization (AI4DB) to improve the efficiency and effectiveness of query processing.
    • Pursuing unified execution and optimization of cross-domain queries, integrating SQL, graph, and AI technologies.
  2. Building High-Performance Composable Graph Databases:
    • Developing high-performance graph-native storage and caching mechanisms.
    • Creating high-performance primitives to support graph database operations.
    • Optimizing complex graph queries, such as subgraph counting queries, to tackle challenges posed by intricate data structures and analytical requirements.

Currently, I am leading the development of the next-generation high performance composable graph database and unified data processing engine at Huawei.

We are actively seeking talented individuals for full-time positions and internships who share our passion for system research and development. If you’re interested, please reach out to me with your details or resume!

Systems

  • TCRDS (2022-): TCRDS is a unified analytic engine for SQL queries, Subgraph queries, and Graph Analytic Queries, built upon Tensor Computation Runtime (TCR), such as PyTorch. Leveraging a highly optimized and cross-platform TCR backend, TCRDS achieves full-speed operation on all platforms (including Nvidia GPU, AMD GPU, Apple M series SoC, and Huawei Ascend), outperforming traditional purpose-built systems by orders of magnitude.

  • SeccoSQL (2020-2022): SeccoSQL (Separate communication from computation) is an experimental distributed SQL engine on Spark designed for processing complex SQL/Graph queries. It explicitly decouples Relational Algebra (RA) operators into pure communication and computation operators. SeccoSQL can reorder operators at a finer granularity than existing SQL engines, enabling a greater search space of plans and further reducing communication costs.

  • DISC (2018-2020): DISC is a specialized graph system on Spark for computing subgraph counts of arbitrary patterns and orbits in a relational manner. Unlike existing subgraph counting approaches that operate directly on graphs, DISC decomposes subgraph counting queries into a sequence of relational queries, enabling efficient execution.

  • Crystal (2016-2017): Crystal is a novel method for distributed subgraph matching on very large graphs. It differs from existing subgraph matching approaches by computing compressed results of subgraph matching directly, greatly reducing computation costs.

Publications

2024

  • Yishu Wang, Jinlong Chu, Ye Yuan, Yu Gu, Hangxu Ji, Hao Zhang. Label Constrained Reacability Queries on Time Dependent Graphs. IEEE International Conference on Data Engineering (ICDE), 2024.

  • Anbiao Wu, Ye Yuan, Changsheng Li, Yuliang Ma, Hao Zhang, Attributed Network Embedding in Streaming Style . IEEE International Conference on Data Engineering (ICDE), 2024.

2023

  • Kangfei Zhao, Jeffrey Xu Yu,, Qiyan Li, Hao Zhang, Yu Rong. Learned sketch for subgraph counting: a holistic approach. The VLDB Journal 32 (5), 937-962, 2023

2022

  • Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao. Parallel Query Processing: To Separate Communication from Computation. ACM SIGMOD/PODS International Conference on Managerment of Data (SIGMOD), 2022.

  • Hao Zhang, Qiyan, Li, Kangfei Zhao, Jeffrey Xu Yu, Yuanyuan Zhu. How Learning Can Help Complex Cyclic Join Decomposition (Demo). IEEE International Conference on Data Engineering (ICDE), 2022.

  • Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Rui Li, Hao Zhang. Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process. ACM SIGMOD/PODS International Conference on Managerment of Data (SIGMOD), 2022.

2021

  • Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong, A Learned Sketch for Subgraph Counting. ACM SIGMOD/PODS International Conference on Managerment of Data (SIGMOD), 2021.

  • Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng. Fast Distributed Complex Join Processing (Short). IEEE International Conference on Data Engineering (ICDE), 2021.

2020

  • Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng. Distributed Subgraph Counting: A General Approach. International Conference on Very Large Data Bases (VLDB), 2020.

2019

  • Kangfei Zhao, Jiao Su, Jeffrey Xu Yu, Hao Zhang. SQL-G: Efficient Graph Analytics by SQL. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.

2018

  • Miao Qiao, Hao Zhang, Hong Cheng. Subgraph matching: on compression and computation. International Conference on Very Large Data Bases (VLDB), 2018.

2017

  • Yuanyuan Zhu, Hao Zhang, Lu Qin, Hong Cheng. Efficient MapReduce algorithms for triangle listing in billion-scale graphs. Distributed And Parallel Database (DPD), 2017.

  • Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu. Efficient Local Clustering Coefficient Estimation in Massive Graphs. Database Systems for Advanced Applications (DASFAA), 2017

2016

  • Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu. Efficient triangle listing for billion-scale graphs. IEEE International Conference on Big Data (BigData), 2016

Hornor & Awards

  • First Class, TopMinds Program in Huawei, 2022
  • Meritorious Winner, COMAP’s Mathematical Contest in Modeling, 2016
  • Second Class, Hongyi Scholarship, 2015
  • Second Class, HuaZhong Area Mathematical Modelling, 2015

Professional Activities

  • Reviewer: TKDD, PAKDD’21,22,23,24 , KDD’20, CIKM’20,21, AAAI’21
  • External Reviewer: SIGMOD’21,22, VLDB’19,20,21,22, ICDE’19,20,21,22

[updated on 2024/03/21]