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ORCIDYining Hua
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2020 – today
- 2024
[j10]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): 1569-1577 (2024)- [j9]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): 1959-1970 (2024) - [c13]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: 6025-6047 - [c12]Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton:
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. EMNLP 2024: 13696-13710 - [c11]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: 376-388 - [i19]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 abs/2401.02984 (2024) - [i18]Andrew Liu, Hongjian Zhou, Yining Hua, Omid Rohanian, Lei A. Clifton, David A. Clifton:
Large Language Models in Healthcare: A Comprehensive Benchmark. CoRR abs/2405.00716 (2024) - [i17]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 abs/2405.09980 (2024) - [i16]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 abs/2406.09838 (2024) - [i15]Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John Torous:
Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks. CoRR abs/2408.11288 (2024) - 2023
- [j8]Shoukun Xu, Jianan Gu, Yining Hua, Yi Liu:
DKTNet: Dual-Key Transformer Network for small object detection. Neurocomputing 525: 29-41 (2023) - [j7]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: 104507 (2023) - [c10]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: 6290-6298 - [c9]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 - [c8]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. RecSys 2023: 129-140 - [c7]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: 283-293 - [c6]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: 3968-3977 - [i14]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 abs/2302.12044 (2023) - [i13]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 abs/2302.14532 (2023) - [i12]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 abs/2306.03030 (2023) - [i11]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 abs/2306.16001 (2023) - [i10]Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu:
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. CoRR abs/2310.09089 (2023) - [i9]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 abs/2310.17956 (2023) - [i8]Zhen Guo, Yining Hua:
Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering. CoRR abs/2311.00204 (2023) - [i7]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 abs/2311.04199 (2023) - [i6]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 abs/2311.05112 (2023) - 2022
- [j6]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): 1668-1678 (2022) - [j5]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): 1496-1506 (2022) - [j4]Yining Hua, Dewei Yi:
Synthetic to Realistic Imbalanced Domain Adaption for Urban Scene Perception. IEEE Trans. Ind. Informatics 18(5): 3248-3255 (2022) - [j3]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): 8182-8190 (2022) - [c5]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 - [c4]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 - [c3]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: 7199-7208 - [c2]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 - [i5]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 abs/2201.07281 (2022) - [i4]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 abs/2206.14358 (2022) - [i3]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 abs/2209.13773 (2022) - [i2]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. CoRR abs/2211.05290 (2022) - [i1]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 abs/2211.06993 (2022) - 2020
- [b1]Yining Hua:
Distributed caching in the future generation networks. Loughborough University, UK, 2020 - [j2]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: 143920-143937 (2020) - [j1]Yining Hua, Lin Guan, Konstantinos G. Kyriakopoulos:
A Fog caching scheme enabled by ICN for IoT environments. Future Gener. Comput. Syst. 111: 82-95 (2020)
2010 – 2019
- 2018
- [c1]Yining Hua, Lin Guan, Konstantinos G. Kyriakopoulos:
Semi-Edge: From Edge Caching to Hierarchical Caching in Network Fog. EdgeSys@MobiSys 2018: 43-48
Coauthor Index
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