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Cheng Cheng 0001
Person information
- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Cheng Cheng — disambiguation page
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2020 – today
- 2024
- [c11]Gabriel Frattallone-Llado, Juyong Kim, Cheng Cheng, Diego Salazar, Smitha Edakalavan, Jeremy C. Weiss:
Using Multimodal Data to Improve Precision of Inpatient Event Timelines. PKDD (4) 2024: 322-334 - 2023
- [c10]Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss:
Individual Fairness Under Uncertainty. ECAI 2023: 3042-3049 - [c9]Cheng Cheng, Jeremy C. Weiss:
Typed Markers and Context for Clinical Temporal Relation Extraction. MLHC 2023: 94-109 - 2022
- [c8]Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss:
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. AMIA 2022 - [i5]Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss:
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. CoRR abs/2208.13126 (2022) - 2021
- [c7]Cheng Cheng, Jason Kennedy, Christopher Seymour, Jeremy C. Weiss:
Disentangled Hyperspherical Clustering for Sepsis Phenotyping. AIME 2021: 240-245 - [c6]Cheng Cheng, Helen Zhou, Jeremy C. Weiss, Zachary C. Lipton:
Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data. AMIA 2021 - [c5]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:
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys 2021 - 2020
- [c4]Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding:
Combining Machine Learning Models Using combo Library. AAAI 2020: 13648-13649 - [c3]Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss:
Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. AIME 2020: 336-347 - [i4]Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu:
SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR abs/2003.05731 (2020) - [i3]Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss:
Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning. CoRR abs/2006.01898 (2020)
2010 – 2019
- 2019
- [i2]Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding:
Combining Machine Learning Models using combo Library. CoRR abs/1910.07988 (2019) - 2018
- [c2]Hong Xu, Xin-Zeng Wu, Cheng Cheng, Sven Koenig, T. K. Satish Kumar:
The Buss Reduction for the k-Weighted Vertex Cover Problem. ISAIM 2018 - [c1]Hong Xu, Cheng Cheng, Sven Koenig, T. K. Satish Kumar:
Message Passing Algorithms for Semiring-Based and Valued Constraint Satisfaction Problems. SOCS 2018: 115-123 - 2017
- [i1]Therese Anders, Hong Xu, Cheng Cheng, T. K. Satish Kumar:
Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach. CoRR abs/1711.06786 (2017)
Coauthor Index
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