Publications

Hanyang Liu, Michael Montana, Dingwen Li, Thomas Kannampallil, Chenyang Lu. Predicting Intraoperative Hypoxemia with Joint Sequence Autoencoder Networks. (Preprint) [pdf]

Guanjie Zheng* and Hanyang Liu* (*equal contribution), Kai Xu, Zhenhui Li. Objective-aware Traffic Simulation via Inverse Reinforcement Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2021.

Guanjie Zheng* and Hanyang Liu* (*equal contribution), Kai Xu, Zhenhui Li. Learning to Simulate Vehicle Trajectory from Demonstrations. IEEE International Conference on Data Engineering (ICDE), 2020. [pdf]

Hanyang Liu, Junwei Han, Feiping Nie. Semi-supervised Orthogonal Graph Embedding with Recursive Projections. International Joint Conference on Artificial Intelligence (IJCAI), 2017. [pdf] [code]

Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li. Balanced Clustering with Least Square Regression. AAAI Conference on Artificial Intelligence (AAAI), 2017. (Spotlight) [pdf] [code]

Sunny S. Lou, Hanyang Liu, Chenyang Lu, Troy S. Wildes, Bruce L. Hall, Thomas Kannampallil. Personalized Surgical Transfusion Risk Prediction Using Machine Learning. (working paper)

Hanyang Liu, Dingwen Li, Alan Hifko, Thomas Kannampallil, Charles Schrock, David Murray, Chenyang Lu, Michael Montana. Machine Learning Based Prediction of Persistent Intraoperative Hypoxemia in Pediatric Patients. (working paper)

Junwei Han, Hanyang Liu, Feiping Nie. A Local and Global Discriminative Framework and Optimization for Balanced Clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018. [pdf]

Hanyang Liu. Research on Linear Regression Based Clustering and Dimensionality Reduction Algorithm (In Chinese). NPU Master Thesis, 2017.