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Publication search results
found 172 matches
- 2024
- Bo Liu, Liangjiao Li, Yanshan Xiao, Kai Wang, Jian Hu, Junrui Liu, Qihang Chen, Ruiguang Huang:
An Efficient Transfer Learning Method with Auxiliary Information. ACM Trans. Knowl. Discov. Data 18(1): 22:1-22:23 (2024) - Miaohui Wang, Rong Zhang, Lirong Huang, Yanshan Li:
Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method. AAAI 2024: 10189-10197 - David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang:
Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. CoRR abs/2401.11120 (2024) - Yuelyu Ji, Zeshui Yu, Yanshan Wang:
Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning. CoRR abs/2401.17602 (2024) - David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawala, Yanshan Wang:
Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications. CoRR abs/2402.09588 (2024) - 2023
- David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C. Silverstein, Michael J. Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang:
ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. Int. J. Medical Informatics 177: 105144 (2023) - Ying Cheng, Yanshan Gao, Lei Wang, Fei Tao, Qing-Guo Wang:
Graph-based operational robustness analysis of industrial Internet of things platform for manufacturing service collaboration. Int. J. Prod. Res. 61(13): 4237-4264 (2023) - Bo Liu, Qihang Chen, Yanshan Xiao, Kai Wang, Junrui Liu, Ruiguang Huang, Liangjiao Li:
Semi-supervised Multi-task Learning with Auxiliary data. Inf. Sci. 626: 626-639 (2023) - Bo Liu, Weibin Li, Yanshan Xiao, Xiaodong Chen, Laiwang Liu, Changdong Liu, Kai Wang, Peng Sun:
Multi-view multi-label learning with high-order label correlation. Inf. Sci. 624: 165-184 (2023) - Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu:
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142: 104343 (2023) - Sonish Sivarajkumar, Yufei Huang, Yanshan Wang:
Fair patient model: Mitigating bias in the patient representation learned from the electronic health records. J. Biomed. Informatics 148: 104544 (2023) - David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang:
Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. npj Digit. Medicine 6 (2023) - Yinghua Xie, Yuntong Zhou, Chen Wang, Yanshan Ma, Ming Yang:
Multi-scale feature fusion network with local attention for lung segmentation. Signal Process. Image Commun. 119: 117042 (2023) - Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) 2023: 12532-12555 - Kurt Miller, Bhavani Singh Agnikula Kshatriya, Nicolas A. Nunez, Manuel Gardea-Resendez, Euijung Ryu, Brandon J. Coombes, Sunyang Fu, Mark A. Frye, Joanna M. Biernacka, Ming Huang, Yanshan Wang:
Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision. ICHI 2023: 183-192 - Hunter Osterhoudt, Liann Ching, Minmei Shih, Courtney E. Schneider, Alexandra E. Harper, Haneef Ahamed Mohammad, Elizabeth R. Skidmore, Yanshan Wang, Leming Zhou:
Feasibility of Categorizing Rehabilitation Gestures for Automated Fidelity Assessment on Strategy Training using Deep Learning. ICHI 2023: 513-515 - Sonish Sivarajkumar, Yanshan Wang:
Evaluation of Healthprompt for Zero-shot Clinical Text Classification. ICHI 2023: 492-494 - Stephen W. Shaffran, Fengyi Gao, Parker E. Denny, Bayan M. Aldhahwani, Allyn Bove, Shyam Visweswaran, Yanshan Wang:
Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques. CoRR abs/2303.13466 (2023) - David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C. Silverstein, Michael J. Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang:
ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research. CoRR abs/2304.05929 (2023) - Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR abs/2305.19339 (2023) - Sonish Sivarajkumar, Yufei Huang, Yanshan Wang:
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records. CoRR abs/2306.03179 (2023) - David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang:
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence. CoRR abs/2308.02448 (2023) - David Oniani, Jordan Hilsman, Hang Dong, Fengyi Gao, Shiven Verma, Yanshan Wang:
Large Language Models Vote: Prompting for Rare Disease Identification. CoRR abs/2308.12890 (2023) - Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti, Shyam Visweswaran, Yanshan Wang:
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing. CoRR abs/2309.08008 (2023) - Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani:
Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. CoRR abs/2309.12444 (2023) - Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. CoRR abs/2311.11211 (2023) - David Oniani, Yanshan Wang:
In-Context Learning Functions with Varying Number of Minima. CoRR abs/2311.12538 (2023) - Mauro Nievas, Aditya Basu, Yanshan Wang, Hrituraj Singh:
Distilling Large Language Models for Matching Patients to Clinical Trials. CoRR abs/2312.09958 (2023) - Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang:
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning. CoRR abs/2312.10467 (2023) - 2022
- Jianyuan Zhou, Yanshang Li, Haotian Cao, Min Yang, Lingyu Chu, Taisong Li, Zhengmin Yu, Rui Yu, Bo Qiu, Qiuyu Wang, Xuecang Li, Jianjun Xie:
CATA: a comprehensive chromatin accessibility database for cancer. Database J. Biol. Databases Curation 2022(2022) (2022)
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