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Learning Optimal Predictive Checklists

Dec 02, 2021
Haoran Zhang, Quaid Morris, Berk Ustun, Marzyeh Ghassemi

* Published in NeurIPS 2021 

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Differentiable Projection for Constrained Deep Learning

Nov 21, 2021
Dou Huang, Haoran Zhang, Xuan Song, Ryosuke Shibasaki

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OneFlow: Redesign the Distributed Deep Learning Framework from Scratch

Oct 29, 2021
Jinhui Yuan, Xinqi Li, Cheng Cheng, Juncheng Liu, Ran Guo, Shenghang Cai, Chi Yao, Fei Yang, Xiaodong Yi, Chuan Wu, Haoran Zhang, Jie Zhao

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An open GPS trajectory dataset and benchmark for travel mode detection

Sep 28, 2021
Jinyu Chen, Haoran Zhang, Xuan Song, Ryosuke Shibasaki

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Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing

Aug 27, 2021
Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi

* Published in CIKM 2021 

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A comparison of approaches to improve worst-case predictive model performance over patient subpopulations

Aug 27, 2021
Stephen R. Pfohl, Haoran Zhang, Yizhe Xu, Agata Foryciarz, Marzyeh Ghassemi, Nigam H. Shah

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Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning

Jul 25, 2021
Chandrajit Bajaj, Avik Roy, Haoran Zhang

* The codebase for MCEVAE is available at 

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Reading Race: AI Recognises Patient's Racial Identity In Medical Images

Jul 21, 2021
Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P Lungren, Lyle Palmer, Brandon J Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W Gichoya

* Submitted to the Lancet 

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An Empirical Framework for Domain Generalization in Clinical Settings

Apr 15, 2021
Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi

* Published at ACM CHIL 2021 

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Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method

Dec 11, 2020
Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan

* 31 pages, 20 figures, 1 table 

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An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Nov 23, 2020
Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi

* To appear in proceedings of the 2020 Machine Learning for Health workshop at NeurIPS 

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Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction

Sep 16, 2020
Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi

* EMNLP 2020 Findings 

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Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring

Aug 04, 2020
Haoran Zhang, Diane Litman

* The 58th Annual Meeting of the Association for Computational Linguistics, pp. 8569-8584. 2020 
* Published in the ACL 2020 

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COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation

Jul 06, 2020
Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare Voss, Cynthia Schneider, Boyan Onyshkevych

* 11 pages, submitted to ACL 2020 Workshop on Natural Language Processing for COVID-19 (NLP-COVID), for resources see 

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Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings

Mar 11, 2020
Haoran Zhang, Amy X. Lu, Mohamed Abdalla, Matthew McDermott, Marzyeh Ghassemi

* Accepted at ACM CHIL 2020 (Spotlight) 

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CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning

Nov 24, 2019
Daojian Zeng, Haoran Zhang, Qianying Liu

* accepted by AAAI20 

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Co-Attention Based Neural Network for Source-Dependent Essay Scoring

Aug 06, 2019
Haoran Zhang, Diane Litman

* Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications (2018) 399-409 
* Published in BEA 13 workshop 

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eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing

Aug 06, 2019
Haoran Zhang, Ahmed Magooda, Diane Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana

* Proceedings of the AAAI Conference on Artificial Intelligence (2019) vol. 33, 9619-9625 
* Published in IAAI 19 

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Word Embedding for Response-To-Text Assessment of Evidence

Aug 06, 2019
Haoran Zhang, Diane Litman

* Proceedings of ACL 2017, Student Research Workshop (2017) 75-81 
* Published in the ACL 2017, Student Research Workshop 

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