Cheng Cheng

According to our database, Cheng Cheng authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Using Multimodal Data to Improve Precision of Inpatient Event Timelines.

Gabriel Frattallone-Llado, Juyong Kim, Cheng Cheng, Diego Salazar, Smitha Edakalavan, Jeremy C. Weiss

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Typed Markers and Context for Clinical Temporal Relation Extraction.

Cheng Cheng, Jeremy C. Weiss

Proceedings of the Machine Learning for Healthcare Conference, 2023

Individual Fairness Under Uncertainty.

Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19.

Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss

Proceedings of the AMIA 2022, 2022

2021

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.

Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data.

Cheng Cheng, Helen Zhou, Jeremy C. Weiss, Zachary C. Lipton

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Disentangled Hyperspherical Clustering for Sepsis Phenotyping.

Cheng Cheng, Jason N. Kennedy, Christopher W. Seymour, Jeremy C. Weiss

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning.

Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss

CoRR, 2020

SUOD: A Scalable Unsupervised Outlier Detection Framework.

Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu

CoRR, 2020

Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning.

Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss

Proceedings of the Artificial Intelligence in Medicine, 2020

Combining Machine Learning Models Using combo Library.

Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Message Passing Algorithms for Semiring-Based and Valued Constraint Satisfaction Problems.

Hong Xu, Cheng Cheng, Sven Koenig, T. K. Satish Kumar

Proceedings of the Eleventh International Symposium on Combinatorial Search, 2018

The Buss Reduction for the k-Weighted Vertex Cover Problem.

Hong Xu, Xin-Zeng Wu, Cheng Cheng, Sven Koenig, T. K. Satish Kumar

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018

2017

Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach.

Therese Anders, Hong Xu, Cheng Cheng, T. K. Satish Kumar

CoRR, 2017