Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach. - Therese Anders; Hong Xu 003; Cheng Cheng 001; T. K. Satish Kumar (CoRR, 2017)

The Buss Reduction for the k-Weighted Vertex Cover Problem. - Hong Xu 003; Xin-Zeng Wu; Cheng Cheng 001; Sven Koenig; T. K. Satish Kumar (ISAIM, 2018)

Message Passing Algorithms for Semiring-Based and Valued Constraint Satisfaction Problems. - Hong Xu 003; Cheng Cheng 001; Sven Koenig; T. K. Satish Kumar (SOCS, 2018)

Combining Machine Learning Models Using combo Library. - Yue Zhao 016; Xuejian Wang; Cheng Cheng 001; Xueying Ding (AAAI, 2020)

Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. - Helen Zhou; Cheng Cheng 001; Zachary C. Lipton; George H. Chen; Jeremy C. Weiss (AIME, 2020)

SUOD: A Scalable Unsupervised Outlier Detection Framework. - Yue Zhao 016; Xiyang Hu; Cheng Cheng 001; Cong Wang; Cao Xiao; Yunlong Wang 001; Jimeng Sun 001; Leman Akoglu (CoRR, 2020)

Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning. - Helen Zhou; Cheng Cheng 001; Zachary C. Lipton; George H. Chen; Jeremy C. Weiss (CoRR, 2020)

Disentangled Hyperspherical Clustering for Sepsis Phenotyping. - Cheng Cheng 001; Jason N. Kennedy; Christopher W. Seymour; Jeremy C. Weiss (AIME, 2021)

Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data. - Cheng Cheng 001; Helen Zhou; Jeremy C. Weiss; Zachary C. Lipton (AMIA, 2021)

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. - Yue Zhao 016; Xiyang Hu; Cheng Cheng 001; Cong Wang; Changlin Wan; Wen Wang; Jianing Yang; Haoping Bai; Zheng Li; Cao Xiao; Yunlong Wang 001; Zhi Qiao 007; et al. (MLSys, 2021)

Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. - Helen Zhou; Cheng Cheng 001; Kelly J. Shields; Gursimran Kochhar; Tariq Cheema; Zachary C. Lipton; Jeremy C. Weiss (AMIA, 2022)

Individual Fairness Under Uncertainty. - Wenbin Zhang 002; Zichong Wang; Juyong Kim 002; Cheng Cheng 001; Thomas Oommen; Pradeep Ravikumar; Jeremy C. Weiss (ECAI, 2023)

Typed Markers and Context for Clinical Temporal Relation Extraction. - Cheng Cheng 001; Jeremy C. Weiss (MLHC, 2023)

Using Multimodal Data to Improve Precision of Inpatient Event Timelines. - Gabriel Frattallone-Llado; Juyong Kim 002; Cheng Cheng 001; Diego Salazar; Smitha Edakalavan; Jeremy C. Weiss (PKDD (4), 2024)

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection. - Tiankai Yang 001; Junjun Liu; Wingchun Siu; Jiahang Wang; Zhuangzhuang Qian; Chanjuan Song; Cheng Cheng 001; Xiyang Hu; Yue Zhao 016 (CoRR, 2025)