Research Scientist at Salesforce
I am currently a Research Scientist at Salesforce AI Research. I obtained PhD in Computer Science at School of Computing (SoC), National University of Singapore (NUS), advised by Prof. Xiaokui Xiao. During my PhD, I also closely collaborated with Prof. Bryan Hooi, Prof. Kenji Kawaguchi, and Prof. Muhao Chen. My research interests are graph neural networks, graph learning, and time series.
Prior to my PhD study, I received my bachelor degree in Computer Science from Sichuan University, China.
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao.
International Conference on Learning Representations (ICLR) 2024.
[code]
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao.
Neural Information Processing Systems (NeurIPS) 2022.
[code]
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Findings 2022.
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2022.
[code]
EIGNN: Efficient Infinite-Depth Graph Neural Networks
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao.
Neural Information Processing Systems (NeurIPS) 2021.
[code]
Node-wise Diffusion for Scalable Graph Learning
Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, and Xiaokui Xiao.
Proceedings of the ACM Web Conference (TheWebConf) 2023.
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2022.
A Fusion-Denoising Attack on InstaHide with Data Augmentation
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi.
AAAI Conference on Artificial Intelligence (AAAI) 2022.
No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu.
SIGMOD Record 2022. (ACM SIGMOD Research Highlight Award)
Scaling Attributed Network Embedding to Massive Graphs
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick.
Proceedings of the VLDB Endowment 2021. (Best Research Paper Award)
NodeAug: Semi-Supervised Node Classification with Data Augmentation
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020.