About Me

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Kai-Lang Yao now is an Algorithm Engineer at Honor. 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

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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

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• Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks.
  Kai-Lang Yao and Wu-Jun Li. IJCAI 2021.
  [pdf]

• 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]

• Asymmetric Learning for Graph Neural Network based Link Prediction.
  Kai-Lang Yao and Wu-Jun Li. ACM TKDD 2024.
  [pdf]

Awards & Honors

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• 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

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Reviewer for IJCAI 2021, ICML 2022, AAAI 2023, AAAI 2024, KDD 2024