Boyang Liu

Ecological prediction at macroscales using big data: Does sampling design matter?

Jiayu Zhou, Pang-Ning Tan, Qi Wang, 2020, Ecological applications : a publication of the Ecological Society of America.

RUSH: Robust Contrastive Learning via Randomized Smoothing

Boyang Liu, Jiayu Zhou, Yijiang Pang, 2022, 2207.05127.

Unsupervised Anomaly Detection by Robust Density Estimation

P. Tan, Boyang Liu, Jiayu Zhou, 2022, AAAI.

Learning Deep Neural Networks under Agnostic Corrupted Supervision pdf

Jiayu Zhou, Pang-Ning Tan, Boyang Liu, 2021, ICML.

Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data

Jiayu Zhou, Ephraim M. Hanks, Boyang Liu, 2019, Limnology and Oceanography Letters.

Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation

Jiayu Zhou, Pang-Ning Tan, Boyang Liu, 2018, KDD.

OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting

Pang-Ning Tan, Ding Wang, Boyang Liu, 2020, AAAI.

RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection

Jiayu Zhou, Pang-Ning Tan, Kaixiang Lin, 2021, IJCAI.

Serum Lipoprotein(a) and High-Density Lipoprotein Cholesterol Associate with Diabetic Nephropathy: Evidence from Machine Learning Perspectives

Ying Yang, Boyang Liu, Yi-dan Zhou, 2023, Diabetes, metabolic syndrome and obesity : targets and therapy.

Robust Unsupervised Domain Adaptation from A Corrupted Source

Anil K. Jain, Zhuangdi Zhu, Boyang Liu, 2022, 2022 IEEE International Conference on Data Mining (ICDM).