A time space division multiple access (TSDMA) protocol for multihop wireless networks with access points. - Chi-Hsiang Yeh; Helen Zhou; Hussein T. Mouftah (VTC Spring, 2002)

A variable-radius multichannel MAC protocol for high-throughput low-power heterogeneous ad hoc networking. - Chi-Hsiang Yeh; Helen Zhou; Pin-Han Ho; Hussein T. Mouftah (GLOBECOM, 2003)

A wireless approach for personal healthcare on everyday mobile devices. - Helen Zhou; Tim Roberts (Int. J. Intell. Syst. Technol. Appl., 2011)

A comparative study on the active power filter control strategy for independent and small power system. - Wan-Neng Yu; Defeng Wu; Helen Zhou (Int. J. Model. Identif. Control., 2013)

Digital Stylometry: Linking Profiles Across Social Networks. - Soroush Vosoughi; Helen Zhou; Deb Roy (SocInfo, 2015)

Enhanced Twitter Sentiment Classification Using Contextual Information. - Soroush Vosoughi; Helen Zhou; Deb Roy (WASSA@EMNLP, 2015)

The Rensselaer Mandarin Project - A Cognitive and Immersive Language Learning Environment. - David Allen; Rahul R. Divekar; Jaimie Drozdal; Lilit Balagyozyan; Shuyue Zheng; Ziyi Song; Huang Zou; Jeramey Tyler; Xiangyang Mou; Rui Zhao 015; Helen Zhou; Jianling Yue; et al. (AAAI, 2019)

Particle swarm optimization with damping factor and cooperative mechanism. - Mingfu He; Mingzhe Liu 001; Ruili Wang; Xin Jiang 006; Bingqi Liu; Helen Zhou (Appl. Soft Comput., 2019)

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)

Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes. - Soorajnath Boominathan; Michael Oberst; Helen Zhou; Sanjat Kanjilal; David A. Sontag (KDD, 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)

Underwater salient object detection by combining 2D and 3D visual features. - Zhe Chen 004; Hongmin Gao 001; Zhen Zhang 019; Helen Zhou; Xun Wang 007; Yan Tian (Neurocomputing, 2020)

A semi-supervised convolutional transfer neural network for 3D pulmonary nodules detection. - Mingzhe Liu 001; Xin Jiang 006; Yanhua Liu; Feixiang Zhao; Helen Zhou (Neurocomputing, 2020)

A novel super-resolution CT image reconstruction via semi-supervised generative adversarial network. - Xin Jiang 006; Mingzhe Liu 001; Feixiang Zhao; Xianghe Liu; Helen Zhou (Neural Comput. Appl., 2020)

CASR: a context-aware residual network for single-image super-resolution. - Yirui Wu; Xiaozhong Ji; Wanting Ji; Yan Tian; Helen Zhou (Neural Comput. Appl., 2020)

Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image. - Fuhao Zou; Wei Xiao; Wanting Ji; Kunkun He; Zhixiang Yang; Jingkuan Song; Helen Zhou; Kai Li (Neural Comput. Appl., 2020)

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)

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)

Machine Learning for Health (ML4H) 2022. - Antonio Parziale; Monica Agrawal; Shengpu Tang; Kristen Severson 001; Luis Oala; Adarsh Subbaswamy; Sayantan Kumar; Elora D. M. Schörverth; Stefan Hegselmann; Helen Zhou; Ghada Zamzmi; Purity Mugambi; et al. (ML4H@NeurIPS, 2022)

Model Evaluation in Medical Datasets Over Time. - Helen Zhou; Yuwen Chen; Zachary C. Lipton (CoRR, 2022)

Parallel Binary Image Cryptosystem Via Spiking Neural Networks Variants. - Mingzhe Liu 001; Feixiang Zhao; Xin Jiang 006; Hong Zhang 050; Helen Zhou (Int. J. Neural Syst., 2022)

Domain Adaptation under Missingness Shift. - Helen Zhou; Sivaraman Balakrishnan; Zachary C. Lipton (AISTATS, 2023)

Evaluating Model Performance in Medical Datasets Over Time. - Helen Zhou; Yuwen Chen; Zachary C. Lipton (CHIL, 2023)

Verbally Soliciting Human Feedback in Continuous Human-Robot Collaboration: Effects of the Framing and Timing of Reminders. - Kate Candon; Helen Zhou; Sarah Gillet; Marynel Vázquez (HRI, 2023)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

Business Metric-Aware Forecasting for Inventory Management. - Helen Zhou; Sercan Ö. Arik; Jingtao Wang (CoRR, 2023)

MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains. - Yuwen Chen; Helen Zhou; Zachary C. Lipton (CoRR, 2023)

Timing as an Action: Learning When to Observe and Act. - Helen Zhou; Audrey Huang; Kamyar Azizzadenesheli; David Childers; Zachary C. Lipton (AISTATS, 2024)

REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time. - Kate Candon; Nicholas C. Georgiou; Helen Zhou; Sidney Richardson; Qiping Zhang; Brian Scassellati; Marynel Vázquez (HRI, 2024)

Machine Learning for Health (ML4H) 2024. - Helen Zhou; Stefan Hegselmann; Elizabeth Healey; Trenton Chang; Caleb Ellington; Michael Leone; Vishwali Mhasawade; Sana Tonekaboni; Winston Chen; Hyewon Jeong; Xiaoxiao Li; Juyeon Heo; et al. (ML4H@NeurIPS, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Learning to Route with Confidence Tokens. - Yu-Neng Chuang; Helen Zhou; Prathusha Kameswara Sarma; Parikshit Gopalan; John Boccio; Sara Bolouki; Xia Hu 001 (CoRR, 2024)

Reliable and Practical Machine Learning for Dynamic Healthcare Settings - Helen Zhou (2024)

A Blockchain Based Data Monitoring and Sharing Approach for Smart Grids. - Yan-Han Yang; Mingzhe Liu; Qin Zhou; Helen Zhou; Ruili Wang (IEEE Access, 2025)

Machine Learning for Health symposium 2024 - Findings track. - Stefan Hegselmann; Helen Zhou; Elizabeth Healey; Trenton Chang; Caleb Ellington; Vishwali Mhasawade; Sana Tonekaboni; Peniel N. Argaw; Haoran Zhang 003 (CoRR, 2025)

Exploring undercurrents of learning tensions in an LLM-enhanced landscape: A student-centered qualitative perspective on LLM vs Search. - Rahul R. Divekar; Sophia Guerra; Lisette Gonzalez; Natasha Boos; Helen Zhou (CoRR, 2025)