Helen Zhou

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 33

Top Topics

Top Venues

Neural Comput. Appl.

Publications

Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton
Timing as an Action: Learning When to Observe and Act. AISTATS (2024)
Kate Candon, Nicholas C. Georgiou, Helen Zhou, Sidney Richardson, Qiping Zhang, Brian Scassellati, Marynel Vázquez
REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time. CoRR (2024)
Kate Candon, Nicholas C. Georgiou, Helen Zhou, Sidney Richardson, Qiping Zhang, Brian Scassellati, Marynel Vázquez
REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time. HRI (2024)
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
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR (2024)
Kate Candon, Helen Zhou, Sarah Gillet, Marynel Vázquez
Verbally Soliciting Human Feedback in Continuous Human-Robot Collaboration: Effects of the Framing and Timing of Reminders. HRI (2023)
Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton
Domain Adaptation under Missingness Shift. AISTATS (2023)
Yuwen Chen, Helen Zhou, Zachary C. Lipton
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains. CoRR (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
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS (2023)
Helen Zhou, Yuwen Chen, Zachary C. Lipton
Evaluating Model Performance in Medical Datasets Over Time. CHIL (2023)
Helen Zhou, Yuwen Chen, Zachary C. Lipton
Evaluating Model Performance in Medical Datasets Over Time. CoRR (2023)
Helen Zhou, Sercan O. Arik, Jingtao Wang
Business Metric-Aware Forecasting for Inventory Management. CoRR (2023)
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 Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS (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. 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)
Helen Zhou, Yuwen Chen, Zachary C. Lipton
Model Evaluation in Medical Datasets Over Time. CoRR (2022)
Mingzhe Liu, Feixiang Zhao, Xin Jiang, Hong Zhang, Helen Zhou
Parallel Binary Image Cryptosystem Via Spiking Neural Networks Variants. Int. J. Neural Syst. 32 (8) (2022)
Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton
Domain Adaptation under Missingness Shift. CoRR (2022)
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)
Sooraj Boominathan, Michael Oberst, Helen Zhou, Sanjat Kanjilal, David A. Sontag
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes. CoRR (2020)
Yirui Wu, Xiaozhong Ji, Wanting Ji, Yan Tian, Helen Zhou
CASR: a context-aware residual network for single-image super-resolution. Neural Comput. Appl. 32 (18) (2020)
Soorajnath Boominathan, Michael Oberst, Helen Zhou, Sanjat Kanjilal, David A. Sontag
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes. KDD (2020)
Fuhao Zou, Wei Xiao, Wanting Ji, Kunkun He, Zhixiang Yang, Jingkuan Song, Helen Zhou, Kai Li
Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image. Neural Comput. Appl. 32 (18) (2020)
Zhe Chen, Hongmin Gao, Zhen Zhang, Helen Zhou, Xun Wang, Yan Tian
Underwater salient object detection by combining 2D and 3D visual features. Neurocomputing 391 (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)
Xin Jiang, Mingzhe Liu, Feixiang Zhao, Xianghe Liu, Helen Zhou
A novel super-resolution CT image reconstruction via semi-supervised generative adversarial network. Neural Comput. Appl. 32 (18) (2020)
Mingzhe Liu, Xin Jiang, Yanhua Liu, Feixiang Zhao, Helen Zhou
A semi-supervised convolutional transfer neural network for 3D pulmonary nodules detection. Neurocomputing 391 (2020)
Mingfu He, Mingzhe Liu, Ruili Wang, Xin Jiang, Bingqi Liu, Helen Zhou
Particle swarm optimization with damping factor and cooperative mechanism. Appl. Soft Comput. 76 (2019)
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
The Rensselaer Mandarin Project - A Cognitive and Immersive Language Learning Environment. AAAI (2019)
Soroush Vosoughi, Helen Zhou, Deb Roy
Digital Stylometry: Linking Profiles Across Social Networks. CoRR (2016)
Soroush Vosoughi, Helen Zhou, Deb Roy
Enhanced Twitter Sentiment Classification Using Contextual Information. CoRR (2016)
Soroush Vosoughi, Helen Zhou, Deb Roy
Digital Stylometry: Linking Profiles Across Social Networks. SocInfo (2015)
Soroush Vosoughi, Helen Zhou, Deb Roy
Enhanced Twitter Sentiment Classification Using Contextual Information. WASSA@EMNLP (2015)
Wan-Neng Yu, Defeng Wu, Helen Zhou
A comparative study on the active power filter control strategy for independent and small power system. Int. J. Model. Identif. Control. 20 (3) (2013)
Helen Zhou, Tim Roberts
A wireless approach for personal healthcare on everyday mobile devices. Int. J. Intell. Syst. Technol. Appl. 10 (4) (2011)
Chi-Hsiang Yeh, Helen Zhou, Pin-Han Ho, Hussein T. Mouftah
A variable-radius multichannel MAC protocol for high-throughput low-power heterogeneous ad hoc networking. GLOBECOM (2003)
Chi-Hsiang Yeh, Helen Zhou, Hussein T. Mouftah
A time space division multiple access (TSDMA) protocol for multihop wireless networks with access points. VTC Spring (2002)