Helen Zhou - RankMe

46 papers A* 5A 2B 2Misc 2Journal 26Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Methodologies for Agentic Evaluations Across Domains: Leakage of Sensitive Information, Fraud and Cybersecurity Threats. CoRR Ee Wei Seah, Yongsen Zheng, Naga Nikshith, Mahran Morsidi, Gabriel Waikin Loh Matienzo, Nigel Gay, Akriti Vij, Benjamin Chua, En Qi Ng, Sharmini Johnson, Vanessa Wilfred, Wan Sie Lee, Anna Davidson, Catherine Devine, Erin Zorer, Gareth Holvey, Harry Coppock, James Walpole, Jerome Wynee, Magda Dubois, Michael Schmatz, Patrick Keane, Sam Deverett, Bill Black, Bo Yan, Bushra Sabir, Frank Sun, Hao Zhang, Harriet Farlow, Helen Zhou, Lingming Dong, Qinghua Lu, Seung Jang, Sharif Abuadbba, Simon O'Callaghan, Suyu Ma, Tom Howroyd, Cyrus Fung, Fatemeh Azadi, Isar Nejadgholi, Krishnapriya Vishnubhotla, Pulei Xiong, Saeedeh Lohrasbi, Scott Buffett, Shahrear Iqbal, Sowmya Vajjala, Anna Safont-Andreu, Luca Massarelli, Oskar van der Wal, Simon Möller, Agnès Delaborde, Joris Duguépéroux, Nicolas Rolin, Romane Gallienne, Sarah Behanzin, Tom Seimandi, Akiko Murakami, Takayuki Semitsu, Teresa Tsukiji, Angela Kinuthia, Michael Michie, Stephanie Kasaon, Jean Wangari, Hankyul Baek, Jaewon Noh, Kihyuk Nam, Sang Seo, Sungpil Shin, Taewhi Lee, Yongsu Kim
2025	J	`jnl`	A Blockchain Based Data Monitoring and Sharing Approach for Smart Grids. IEEE Access Yan-Han Yang, Mingzhe Liu, Qin Zhou, Helen Zhou, Ruili Wang
2025	J	`jnl`	Exploring undercurrents of learning tensions in an LLM-enhanced landscape: A student-centered qualitative perspective on LLM vs Search. CoRR Rahul R. Divekar, Sophia Guerra, Lisette Gonzalez, Natasha Boos, Helen Zhou
2025	A*	`conf`	Learning to Route LLMs with Confidence Tokens. ICML Yu-Neng Chuang, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu, Helen Zhou
2025	J	`jnl`	Machine Learning for Health symposium 2024 - Findings track. CoRR Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang
2024	J	`jnl`	Learning to Route with Confidence Tokens. CoRR Yu-Neng Chuang, Helen Zhou, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu
2024	—	`conf`	Machine Learning for Health (ML4H) 2024. ML4H@NeurIPS Helen Zhou, Stefan Hegselmann, Elizabeth Healey, Trenton Chang, Caleb Ellington, Michael Leone, Vishwali Mhasawade, Sana Tonekaboni, Winston Chen, Hyewon Jeong, Xiaoxiao Li, Juyeon Heo, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang
2024	—	`ed.`	Machine Learning for Health, ML4H@NeurIPS 2024, Vancouver, Canada, 15-16 December 2024. ML4H@NeurIPS Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang
2024	A*	`conf`	REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time. HRI Kate Candon, Nicholas C. Georgiou, Helen Zhou, Sidney Richardson, Qiping Zhang, Brian Scassellati, Marynel Vázquez
2024	J	`jnl`	REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time. CoRR Kate Candon, Nicholas C. Georgiou, Helen Zhou, Sidney Richardson, Qiping Zhang, Brian Scassellati, Marynel Vázquez
2024	J	`jnl`	Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR 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
2024	—	`—`	Reliable and Practical Machine Learning for Dynamic Healthcare Settings Helen Zhou
2024	A	`conf`	Timing as an Action: Learning When to Observe and Act. AISTATS Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton
2023	J	`jnl`	Business Metric-Aware Forecasting for Inventory Management. CoRR Helen Zhou, Sercan Ö. Arik, Jingtao Wang
2023	A	`conf`	Domain Adaptation under Missingness Shift. AISTATS Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton
2023	—	`conf`	Evaluating Model Performance in Medical Datasets Over Time. CHIL Helen Zhou, Yuwen Chen, Zachary C. Lipton
2023	J	`jnl`	Evaluating Model Performance in Medical Datasets Over Time. CoRR Helen Zhou, Yuwen Chen, Zachary C. Lipton
2023	—	`conf`	Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS 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 N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
2023	J	`jnl`	MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains. CoRR Yuwen Chen, Helen Zhou, Zachary C. Lipton
2023	A*	`conf`	Verbally Soliciting Human Feedback in Continuous Human-Robot Collaboration: Effects of the Framing and Timing of Reminders. HRI Kate Candon, Helen Zhou, Sarah Gillet, Marynel Vázquez
2022	J	`jnl`	Domain Adaptation under Missingness Shift. CoRR Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton
2022	Misc	`conf`	Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. AMIA Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
2022	J	`jnl`	Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. CoRR Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
2022	—	`conf`	Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 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
2022	J	`jnl`	Model Evaluation in Medical Datasets Over Time. CoRR Helen Zhou, Yuwen Chen, Zachary C. Lipton
2022	J	`jnl`	Parallel Binary Image Cryptosystem Via Spiking Neural Networks Variants. Int. J. Neural Syst. Mingzhe Liu, Feixiang Zhao, Xin Jiang, Hong Zhang, Helen Zhou
2021	Misc	`conf`	Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data. AMIA Cheng Cheng, Helen Zhou, Jeremy C. Weiss, Zachary C. Lipton
2020	J	`jnl`	A novel super-resolution CT image reconstruction via semi-supervised generative adversarial network. Neural Comput. Appl. Xin Jiang, Mingzhe Liu, Feixiang Zhao, Xianghe Liu, Helen Zhou
2020	J	`jnl`	A semi-supervised convolutional transfer neural network for 3D pulmonary nodules detection. Neurocomputing Mingzhe Liu, Xin Jiang, Yanhua Liu, Feixiang Zhao, Helen Zhou
2020	J	`jnl`	Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image. Neural Comput. Appl. Fuhao Zou, Wei Xiao, Wanting Ji, Kunkun He, Zhixiang Yang, Jingkuan Song, Helen Zhou, Kai Li
2020	J	`jnl`	CASR: a context-aware residual network for single-image super-resolution. Neural Comput. Appl. Yirui Wu, Xiaozhong Ji, Wanting Ji, Yan Tian, Helen Zhou
2020	B	`conf`	Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. AIME Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
2020	J	`jnl`	Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning. CoRR Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
2020	A*	`conf`	Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes. KDD Soorajnath Boominathan, Michael Oberst, Helen Zhou, Sanjat Kanjilal, David A. Sontag
2020	J	`jnl`	Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes. CoRR Sooraj Boominathan, Michael Oberst, Helen Zhou, Sanjat Kanjilal, David A. Sontag
2020	J	`jnl`	Underwater salient object detection by combining 2D and 3D visual features. Neurocomputing Zhe Chen, Hongmin Gao, Zhen Zhang, Helen Zhou, Xun Wang, Yan Tian
2019	J	`jnl`	Particle swarm optimization with damping factor and cooperative mechanism. Appl. Soft Comput. Mingfu He, Mingzhe Liu, Ruili Wang, Xin Jiang, Bingqi Liu, Helen Zhou
2019	A*	`conf`	The Rensselaer Mandarin Project - A Cognitive and Immersive Language Learning Environment. AAAI 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
2016	J	`jnl`	Digital Stylometry: Linking Profiles Across Social Networks. CoRR Soroush Vosoughi, Helen Zhou, Deb Roy
2016	J	`jnl`	Enhanced Twitter Sentiment Classification Using Contextual Information. CoRR Soroush Vosoughi, Helen Zhou, Deb Roy
2015	—	`conf`	Digital Stylometry: Linking Profiles Across Social Networks. SocInfo Soroush Vosoughi, Helen Zhou, Deb Roy
2015	—	`conf`	Enhanced Twitter Sentiment Classification Using Contextual Information. WASSA@EMNLP Soroush Vosoughi, Helen Zhou, Deb Roy
2013	J	`jnl`	A comparative study on the active power filter control strategy for independent and small power system. Int. J. Model. Identif. Control. Wan-Neng Yu, Defeng Wu, Helen Zhou
2011	J	`jnl`	A wireless approach for personal healthcare on everyday mobile devices. Int. J. Intell. Syst. Technol. Appl. Helen Zhou, Tim Roberts
2003	B	`conf`	A variable-radius multichannel MAC protocol for high-throughput low-power heterogeneous ad hoc networking. GLOBECOM Chi-Hsiang Yeh, Helen Zhou, Pin-Han Ho, Hussein T. Mouftah
2002	—	`conf`	A time space division multiple access (TSDMA) protocol for multihop wireless networks with access points. VTC Spring Chi-Hsiang Yeh, Helen Zhou, Hussein T. Mouftah