Yining Hua

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 40

Top Topics

Top Venues

IEEE Trans. Ind. Informatics

J. Am. Medical Informatics Assoc.

Publications

Jian Chen, Peilin Zhou, Yining Hua, Dading Chong, Meng Cao, Yaowei Li, Zixuan Yuan, Bing Zhu, Junwei Liang
Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps. CoRR (2024)
Yining Hua, Jiageng Wu, Shixu Lin, Minghui Li, Yujie Zhang, Dinah Foer, Siwen Wang, Peilin Zhou, Jie Yang, Li Zhou
Streamlining social media information retrieval for public health research with deep learning. J. Am. Medical Informatics Assoc. 31 (7) (2024)
Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Yi-han Sheu, Peilin Zhou, Lauren V. Moran, Sophia Ananiadou, Andrew Beam
Large Language Models in Mental Health Care: a Scoping Review. CoRR (2024)
Andrew Liu, Hongjian Zhou, Yining Hua, Omid Rohanian, Lei A. Clifton, David A. Clifton
Large Language Models in Healthcare: A Comprehensive Benchmark. CoRR (2024)
Jian Chen, Peilin Zhou, Yining Hua, Loh Xin, Kehui Chen, Ziyuan Li, Bing Zhu, Junwei Liang
FinTextQA: A Dataset for Long-form Financial Question Answering. ACL (1) (2024)
Jian Chen, Peilin Zhou, Yining Hua, Yingxin Loh, Kehui Chen, Ziyuan Li, Bing Zhu, Junwei Liang
FinTextQA: A Dataset for Long-form Financial Question Answering. CoRR (2024)
Biqing Zeng, Junjie Liang, Yining Hua, Ruizhe Li, Huimin Deng, Yihao Peng, Ruitang Wang
THE BAT: Thoughts Hierarchical Enhancement Beyond Arbitrary Text Style Transfer. ICIC (LNAI 4) (2024)
Dewei Yi, Petar Baltov, Yining Hua, Sam Philip, Pradip Kumar Sharma
Compound Scaling Encoder-Decoder (CoSED) Network for Diabetic Retinopathy Related Bio-Marker Detection. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Yining Hua, Liqin Wang, Vi Nguyen, Meghan Rieu-Werden, Alex McDowell, David W. Bates, Dinah Foer, Li Zhou
A deep learning approach for transgender and gender diverse patient identification in electronic health records. J. Biomed. Informatics 147 (2023)
Yining Hua, Shixu Lin, Minghui Li, Yujie Zhang, Peilin Zhou, Ying-Chih Lo, Li Zhou, Jie Yang
Streamlining Social Media Information Retrieval for Public Health Research with Deep Learning. CoRR (2023)
Junling Liu, Ziming Wang, Qichen Ye, Dading Chong, Peilin Zhou, Yining Hua
Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare. CoRR (2023)
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim
Equivariant Contrastive Learning for Sequential Recommendation. RecSys (2023)
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset. NeurIPS (2023)
Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. CoRR (2023)
Shoukun Xu, Jianan Gu, Yining Hua, Yi Liu
DKTNet: Dual-Key Transformer Network for small object detection. Neurocomputing 525 (2023)
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
Benchmarking Large Language Models on CMExam - A Comprehensive Chinese Medical Exam Dataset. CoRR (2023)
Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang
Exploring Social Media for Early Detection of Depression in COVID-19 Patients. CoRR (2023)
Zhen Guo, Yining Hua
Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering. CoRR (2023)
Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. CoRR (2023)
Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost. IJCAI (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR (2023)
Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang
Exploring Social Media for Early Detection of Depression in COVID-19 Patients. WWW (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys (2023)
Hongjian Zhou, Boyang Gu, Xinyu Zou, Yiru Li, Sam S. Chen, Peilin Zhou, Junling Liu, Yining Hua, Chengfeng Mao, Xian Wu, Zheng Li, Fenglin Liu
A Survey of Large Language Models in Medicine: Progress, Application, and Challenge. CoRR (2023)
Yining Hua, Hang Jiang, Shixu Lin, Jie Yang, Joseph M. Plasek, David W. Bates, Li Zhou
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications. CoRR (2022)
Yining Hua, Hang Jiang, Shixu Lin, Jie Yang, Joseph M. Plasek, David W. Bates, Li Zhou
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications. J. Am. Medical Informatics Assoc. 29 (10) (2022)
Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Jie Yang
GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost. CoRR (2022)
Yining Hua, Vi Nguyen, Liqin Wang, Dinah Foer, Li Zhou
Identifying Transgender and Gender Diverse Individuals in Electronic Health Records: A Context-aware Natural Language Processing Approach. AMIA (2022)
Hang Jiang, Yining Hua, Doug Beeferman, Deb Roy
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis. CoRR (2022)
Yining Hua, Dewei Yi
Synthetic to Realistic Imbalanced Domain Adaption for Urban Scene Perception. IEEE Trans. Ind. Informatics 18 (5) (2022)
Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets. NeurIPS (2022)
Dewei Yi, Hui Fang, Yining Hua, Jinya Su, Mohammed Quddus, Jungong Han
Improving Synthetic to Realistic Semantic Segmentation With Parallel Generative Ensembles for Autonomous Urban Driving. IEEE Trans. Cogn. Dev. Syst. 14 (4) (2022)
Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets. CoRR (2022)
Yining Hua, Michele Sevegnani, Dewei Yi, Andrew Birnie, Steve McAslan
Fine-Grained RNN With Transfer Learning for Energy Consumption Estimation on EVs. IEEE Trans. Ind. Informatics 18 (11) (2022)
Yining Hua, Hang Jiang, Jie Yang, Shixu Lin, Joseph M. Plasek, David W. Bates, Li Zhou
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications. AMIA (2022)
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim
Equivariant Contrastive Learning for Sequential Recommendation. CoRR (2022)
Hang Jiang, Yining Hua, Doug Beeferman, Deb Roy
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis. LREC (2022)
Yining Hua, Lin Guan, Konstantinos G. Kyriakopoulos
A Fog caching scheme enabled by ICN for IoT environments. Future Gener. Comput. Syst. 111 (2020)
Weijun Lin, Xinghong Huang, Hui Fang, Victoria Wang, Yining Hua, Jingjie Wang, Haining Yin, Dewei Yi, Laihung Yau
Blockchain Technology in Current Agricultural Systems: From Techniques to Applications. IEEE Access 8 (2020)
Yining Hua, Lin Guan, Konstantinos G. Kyriakopoulos
Semi-Edge: From Edge Caching to Hierarchical Caching in Network Fog. EdgeSys@MobiSys (2018)