Hanyang Liu 劉瀚陽
PhD Candidate
Department of Computer Science and Engineering
Washington University in St. Louis
Email: hanyang.liu[at]wustl.edu
"HAHN-yahng LEE-oo", He/Him
About
I'm now a fifth-year PhD student in the Department of Computer Science and Engineering at Washington University, adviced by Prof. Chenyang Lu. I'm also working closely with Prof. Thomas Kannampallil, Dr. Sunny Lou, and Prof. Cristina Vazquez Guillamet at Washington University School of Medicine. I received my Bachelor's and Master's degree at the Northwestern Polytechnical University, China. My CV [pdf].
Research Interest
My current research interest is applied machine learning, especially learning from Electronic Health Records (EHR) for clinical prediction. My previous research includes machine learning problems such as constrained clustering, semi-supervised learning and imitation learning, as well as their applications in spatio-temporal data mining.
Experience
Central Applied Science @Meta | Research Scientist Intern
Model & Treatment Heterogeneity, Central Applied Science, 2023 @New York, NY, USA
Meta | Research Scientist Intern
Modeling Foundations, AI Platforms,, 2022 @Menlo Park, CA, USA
Tianrang Inc. & Yunqi Academy of Engineering| Research Intern
City Brain Open Research | Advisor: Zhenhui (Jessie) Li, 2019 @Hangzhou, China
Huawei | Account Manager
Carrier Business Group, 2018 @Shenzhen, China
Publications
Training & Inference Optimization
Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation
Hanyang Liu, Shuai Yang, Feng Qi, Shuaiwen Wang
In submission. [pdf]
Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints
Ruiqi Wang, Hanyang Liu, Jiaming Wang, Rock Gurin, Chenyang Lu
IEEE the 44th Real-Time System Symposium (RTSS), 2023. [pdf] (Best Student Paper Award)
EHR-based Clinical Inference
Impact of Patient Case Mix on the Performance of Machine Learning Models to Predict Antimicrobial Resistance in Patients with Sepsis
Cristina V. Guillamet, Hanyang Liu, Ziqi Zu, A. Atkinson, V. J. Fraser, C. Lu, M. H. Kollef
In submission, 2024.
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Bing Xue, Ahmed Said, Ziqi Zu, Hanyang Liu, Neel Shah, Albert Yang, Philip Payne, Chenyang Lu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. [pdf]
HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
Hanyang Liu, Sunny S. Lou, Ben Warner, Derek Harfort, Thomas Kannampallil, Chenyang Lu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. [pdf] [code][presentation]
Characterizing the Microstructure of EHR Work Using Raw Audit Logs: An Unsupervised Action Embeddings Approach
Sunny S Lou, Hanyang Liu, Derek Harford, Chenyang Lu, Thomas Kannampallil
Journal of the American Medical Informatics Association (JAMIA), 2022. [pdf]
Predicting Physician Burnout using Clinical Activity Logs: Model Performance and Lessons Learned
Sunny S. Lou, Hanyang Liu, Benjamin Warner, Derek Harford, Chenyang Lu, Thomas Kannampallil
Journal of Biomedical Informatics, 2022. [pdf]
Personalized Surgical Transfusion Risk Prediction Using Machine Learning
Sunny S. Lou, Hanyang Liu, Chenyang Lu, Troy S. Wildes, Bruce L. Hall, Thomas Kannampallil.
Anesthesiology, 2021. [pdf]
Spatio-temporal Urban Computing
Objective-aware Traffic Simulation via Inverse Reinforcement Learning
Guanjie Zheng* and Hanyang Liu* (*equal contribution), Kai Xu, Zhenhui Li
International Joint Conference on Artificial Intelligence (IJCAI), 2021. [pdf] [Presentation]
Learning to Simulate Vehicle Trajectory from Demonstrations
Guanjie Zheng* and Hanyang Liu* (*equal contribution), Kai Xu, Zhenhui Li
IEEE International Conference on Data Engineering (ICDE), 2020. [pdf]
Unsupervised & Semi-supervised Learning
A Local and Global Discriminative Framework and Optimization for Balanced Clustering
Junwei Han, Hanyang Liu, Feiping Nie
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018. [pdf]
Teaching
CSE 520S: Real-time System
Assistant Instructor | Spring 2022
CSE 521S: Wireless Sensor Networks
Assistant Instructor | Fall 2021
Services
Journal Reviewer
