About Me
He received his PhD degree from the Department of Computer Science and Technology, Nanjing University in 2023, under the supervision of Professor Wu-Jun Li. Prior to that, he received his B.Sc. degree from the Department of Computer Science and Technology, Nanjing University in 2016. See CV for a brief introduction about Kai-Lang Yao.
Research Interests
My research interest includes Machine Learning and Artificial Intelligence. More specifically, I focuses on the topic in efficient machine learning algorithms.
- Effcient Graph Machine Learning
- Learning to Hash
- Continual Learning for Large Language Models
- Model Compression & Quantization for Large Language Models
Selected Publications
-
Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks.
Kai-Lang Yao and Wu-Jun Li. IJCAI 2021.
[pdf][code] -
Re-quantization based Binary Graph Neural Networks.
Kai-Lang Yao and Wu-Jun Li. SCIS 2023.
[pdf] -
Context Sketching for Memory-efficient Graph Representation Learning.
Kai-Lang Yao and Wu-Jun Li. IEEE ICDM 2023, Regular Paper.
[pdf][code] -
Asymmetric Learning for Graph Neural Network based Link Prediction.
Kai-Lang Yao and Wu-Jun Li. ACM TKDD 2024.
[pdf][code]
Awards & Honors
- Program B for Outstanding PhD candidate of Nanjing University in 2021-2022
- ICME & ByteDance Grand Challenge 7th Place Award and 10th Place Award in 2019
Academic Service
Reviewer for IJCAI 2021, ICML 2022, AAAI 2023, AAAI 2024, KDD 2024, ACML 2024, ACML 2025
