Helen Zhou

According to our database, Helen Zhou authored at least 31 papers between 2002 and 2024.

Collaborative distances:

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

2024

Learning to Route with Confidence Tokens.

Yu-Neng Chuang, Helen Zhou, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu

CoRR, 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, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 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

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Timing as an Action: Learning When to Observe and Act.

Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains.

Yuwen Chen, Helen Zhou, Zachary C. Lipton

CoRR, 2023

Business Metric-Aware Forecasting for Inventory Management.

Helen Zhou, Sercan Ö. Arik, Jingtao Wang

CoRR, 2023

Machine Learning for Health (ML4H) 2023.

Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen

Proceedings of the Machine Learning for Health, 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

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Evaluating Model Performance in Medical Datasets Over Time.

Helen Zhou, Yuwen Chen, Zachary C. Lipton

Proceedings of the Conference on Health, Inference, and Learning, 2023

Domain Adaptation under Missingness Shift.

Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Parallel Binary Image Cryptosystem Via Spiking Neural Networks Variants.

Mingzhe Liu, Feixiang Zhao, Xin Jiang, Hong Zhang, Helen Zhou

Int. J. Neural Syst., 2022

Model Evaluation in Medical Datasets Over Time.

Helen Zhou, Yuwen Chen, Zachary C. Lipton

CoRR, 2022

Machine Learning for Health (ML4H) 2022.

Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi

Proceedings of the Machine Learning for Health, 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

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

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

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

A novel super-resolution CT image reconstruction via semi-supervised generative adversarial network.

Xin Jiang, Mingzhe Liu, Feixiang Zhao, Xianghe Liu, Helen Zhou

Neural Comput. Appl., 2020

A semi-supervised convolutional transfer neural network for 3D pulmonary nodules detection.

Mingzhe Liu, Xin Jiang, Yanhua Liu, Feixiang Zhao, Helen Zhou

Neurocomputing, 2020

Underwater salient object detection by combining 2D and 3D visual features.

Zhe Chen, Hongmin Gao, Zhen Zhang, Helen Zhou, Xun Wang, Yan Tian

Neurocomputing, 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

Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes.

Soorajnath Boominathan, Michael Oberst, Helen Zhou, Sanjat Kanjilal, David A. Sontag

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

2019

Particle swarm optimization with damping factor and cooperative mechanism.

Mingfu He, Mingzhe Liu, Ruili Wang, Xin Jiang, Bingqi Liu, Helen Zhou

Appl. Soft Comput., 2019

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, Helen Zhou, Jianling Yue, Jeffrey O. Kephart, Hui Su

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2015

Enhanced Twitter Sentiment Classification Using Contextual Information.

Soroush Vosoughi, Helen Zhou, Deb Roy

Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, 2015

Digital Stylometry: Linking Profiles Across Social Networks.

Soroush Vosoughi, Helen Zhou, Deb Roy

Proceedings of the Social Informatics - 7th International Conference, 2015

2013

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

2011

A wireless approach for personal healthcare on everyday mobile devices.

Helen Zhou, Tim Roberts

Int. J. Intell. Syst. Technol. Appl., 2011

2003

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

Proceedings of the Global Telecommunications Conference, 2003

2002

A time space division multiple access (TSDMA) protocol for multihop wireless networks with access points.

Chi-Hsiang Yeh, Helen Zhou, Hussein T. Mouftah

Proceedings of the 55th IEEE Vehicular Technology Conference, 2002