Cheng Cheng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Learning Models

Constraint Satisfaction Problems

Outlier Detection

Multimodal Data

Top Venues

Publications

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)
Cheng Cheng, Jeremy C. Weiss
Typed Markers and Context for Clinical Temporal Relation Extraction. MLHC (2023)
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 (2022)
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)
Cheng Cheng, Jason Kennedy, Christopher Seymour, Jeremy C. Weiss
Disentangled Hyperspherical Clustering for Sepsis Phenotyping. AIME (2021)
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)
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)
Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding
Combining Machine Learning Models Using combo Library. AAAI (2020)
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)
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 (2020)
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu
SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR (2020)
Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding
Combining Machine Learning Models using combo Library. CoRR (2019)
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)
Hong Xu, Cheng Cheng, Sven Koenig, T. K. Satish Kumar
Message Passing Algorithms for Semiring-Based and Valued Constraint Satisfaction Problems. SOCS (2018)
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 (2017)