About Me
I am a third-year Ph.D. candidate at Tufts University, working with Prof. Li-Ping Liu. I also obtained my master's degree from Tufts University. Before my MS, I got my BS degree from Wuhan University of Technology.
[Google Scholar] [Github] [LinkedIn] [CV]
Email: xiaohui.chen[at]tufts.edu
Research Interest
My research interest focuses on statistical machine learning and deep learning. Currently, I mainly work on deep graph learning and probabilistic modeling. I am also interested in areas including computer vision, recommendation systems, and representation learning.
If you are a Tufts student who is interested in working on a research project, feel free to reach out
Publications:
2023
EDGE++: Improved Training and Sampling of EDGE
Mingyang Wu*†, Xiaohui Chen*, Li-Ping Liu
Diffusion Workshop and SyntheticData4ML Workshop in NeurIPS, 10/2023
On Separate Normalization in Self-supervised Transformers
Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Li-Ping Liu
Conference on Neural Information Processing Systems, 09/2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 05/2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Xiaohui Chen, Jiaxing He†, Xu Han, Li-Ping Liu
International Conference on Machine Learning, 05/2023
Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation
Xu Han, Xiaohui Chen, Francisco JR Ruiz, Li-Ping Liu
Journal of Machine Learning Research, 04/2023
2022
Interpretable Node Representation with Attribute Decoding
Xiaohui Chen*, Xi Chen*, Li-Ping Liu
Transactions on Machine Learning Research, 12/2022
NVDiff: Graph Generation through the Diffusion of Node Vectors
Xiaohui Chen, Yukun Li, Aonan Zhang, Li-Ping Liu
preprint, 06/2022
2021
Order matters: Probabilistic Modeling of Node Sequence for Graph Generation
Xiaohui Chen*, Xu Han*, Jiajing Hu, Francisco JR Ruiz, Li-Ping Liu
International Conference on Machine Learning, 06/2021
A Framework for Multisensory Foresight for Embodied Agents
Xiaohui Chen*, Ramtin Hosseini*, Karen Panetta, Jivko Sinapov
International Conference on Robotics and Automation (ICRA), 06/2021
GAN Ensemble for Anomaly Detection
Xu Han*, Xiaohui Chen*, Li-Ping Liu
AAAI Conference on Artificial Intelligence, 01/2021
*: Equal contribution
†: Collaborated (under)grad student
Professional Experiences:
Research Scientist Intern @ ByteDance, Bellevue, WA
May 2023 - Nov 2023Research Scientist Intern @ ByteDance, Bellevue, WA
June 2022 - Sep 2022Machine Learning Engineer @ Cobot, Wuhan, China
Oct 2018 - June 2019Software Engineer Intern @ SuperMap, Beijing, China
June 2017 - Sep 2017
Professional Services:
Reviewers:
Conference on Neural Information Processing Systems (NeurIPS), 2023
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023, 2024
Association for the Advancement of Artificial Intelligence (AAAI), 2023, 2024
International Conference on Learning Representations (ICLR), 2024
Journal of Machine Learning Resaerch
Teaching Experiences:
Statistical Pattern Recognition, Graduate Level @ Tufts University, 2023
Introduction to Machine Learning, Graduate Level @ Tufts University, 2020