Ningyi Liao



Biography


I am a Ph.D candidate at the College of Computing and Data Science, Nanyang Technological University, Singapore, supervised by Prof. Siqiang Luo. My research interest lies in scalable graph neural networks, efficient machine learning, and graph learning algorithms.

Before joining NTU, I received my B.Eng. degree in Computer Science from Shanghai Jiao Tong University, where I conducted research with Prof. Liyao Xiang at the John Hopcroft Center for Computer Science. I also interned at JD Digits (now JD Technology).

Publications

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All Graph Algorithm Neural Network Scalability & Efficiency
GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs
VLDB 2024 | PREMIA Award In Proceedings of the VLDB Endowment, 17(9): 2269–2278
Zihao Yu, Ningyi Liao, Siqiang Luo
LD²: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings
NeurIPS 2023 In Advances in Neural Information Processing Systems 36: 10197–10209
Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization
VLDB 2022 In Proceedings of the VLDB Endowment, 15(11): 3240–3248
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
Machine Learning for Subgraph Extraction: Methods, Applications and Challenges
VLDB 2023 Tutorial In Proceedings of the VLDB Endowment Tutorial, 16(12): 3864–3867
Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng
Example Searcher: A Spatial Query System via Example
ICDE 2023 Demo 2023 IEEE 39th International Conference on Data Engineering, 3635–3638
Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo
Scalable Decoupling Graph Neural Networks with Feature-Oriented Optimization
The VLDB Journal 33: 667–683
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
Achieving Adversarial Robustness via Sparsity
Machine Learning 111: 685–711
Ningyi Liao, Shufan Wang, Liyao Xiang, Nanyang Ye, Shuo Shao, Pengzhi Chu
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network
arXiv:2403.13268
Ningyi Liao, Zihao Yu, Siqiang Luo
SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation
arXiv:2305.09958
Haoyu Liu, Ningyi Liao, Siqiang Luo
A Survey on Machine Learning Solutions for Graph Pattern Extraction
arXiv:2204.01057
Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng, Chenhao Ma, Xiaolin Han
Scaling up Graph Neural Networks
PhD Confirmation for Admission Report
Ningyi Liao
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization
Singapore Provisional No. 10202203849U
Ningyi Liao, Dingheng Mo, Siqiang Luo

Talks

Scalable Heterophilous Graph Neural Network with Decoupled Embeddings
Singapore ACM SIGKDD Symposium 2024
Jul 31, 2024 14:45 — 15:00 SMU, Singapore
Machine Learning for Subgraph Extraction: Methods, Applications and Challenges – Community Detection & Maximum Common Subgraph
Tutorial-6, 49th International Conference on Very Large Databases
Aug 31, 2023 10:30 — 12:00 Vancouver, Canada

Awards

Singapore (nationwide, 3 every year)
PREMIA Best Student Paper Awards, Certificate of Merit
2024 Singapore (nationwide, 3 every year)
NTU
NTU Research Scholarship
2021 – 2025 NTU

Education

 
 
 
 
 
Nanyang Technological University
Ph.D. Candidate
Nanyang Technological University
August 2021 – Present Singapore
 
 
 
 
 
Shanghai Jiao Tong University
B.Eng. in Computer Science
Shanghai Jiao Tong University
September 2017 – June 2021 Shanghai, China
 
 
 
 
 
University of California, Berkeley
Exchange Program
University of California, Berkeley
July 2019 – August 2019 Berkeley, CA, U.S.

Services

Teaching

  • Teaching Assistant CE/CZ3002 Advanced Software Engineering ｜NTU 2022 Fall & 2023 Spring
  • Teaching Assistant CE/CZ4123 Big Data Management ｜NTU 2022 Spring & 2023 Spring

Academia Services

  • PC Member NeurIPS 2024, CIKM (Full & Short) 2022–2024
  • Reviewer VLDB 2023–2024, NeurIPS 2022–2023, KDD 2022–2023, WWW 2022–2024, ICDE 2022 & 2024, CIKM 2021, WISE 2021
  • Volunteer WWW 2024