Yining Hua

Orcid: 0000-0001-7779-1208

According to our database1, Yining Hua authored at least 33 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Compound Scaling Encoder-Decoder (CoSED) Network for Diabetic Retinopathy Related Bio-Marker Detection.
IEEE J. Biomed. Health Informatics, April, 2024

Streamlining social media information retrieval for public health research with deep learning.
J. Am. Medical Informatics Assoc., 2024

Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps.
CoRR, 2024

FinTextQA: A Dataset for Long-form Financial Question Answering.
CoRR, 2024

Large Language Models in Healthcare: A Comprehensive Benchmark.
CoRR, 2024

Large Language Models in Mental Health Care: a Scoping Review.
CoRR, 2024

2023
A deep learning approach for transgender and gender diverse patient identification in electronic health records.
J. Biomed. Informatics, November, 2023

DKTNet: Dual-Key Transformer Network for small object detection.
Neurocomputing, March, 2023

A Survey of Large Language Models in Medicine: Progress, Application, and Challenge.
CoRR, 2023

Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study.
CoRR, 2023

Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering.
CoRR, 2023

Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare.
CoRR, 2023

Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model.
CoRR, 2023

Streamlining Social Media Information Retrieval for Public Health Research with Deep Learning.
CoRR, 2023

Exploring Social Media for Early Detection of Depression in COVID-19 Patients.
CoRR, 2023

Exploring Social Media for Early Detection of Depression in COVID-19 Patients.
Proceedings of the ACM Web Conference 2023, 2023

Equivariant Contrastive Learning for Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Synthetic to Realistic Imbalanced Domain Adaption for Urban Scene Perception.
IEEE Trans. Ind. Informatics, 2022

Fine-Grained RNN With Transfer Learning for Energy Consumption Estimation on EVs.
IEEE Trans. Ind. Informatics, 2022

Improving Synthetic to Realistic Semantic Segmentation With Parallel Generative Ensembles for Autonomous Urban Driving.
IEEE Trans. Cogn. Dev. Syst., 2022

Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications.
J. Am. Medical Informatics Assoc., 2022

GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost.
CoRR, 2022

Equivariant Contrastive Learning for Sequential Recommendation.
CoRR, 2022

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Identifying Transgender and Gender Diverse Individuals in Electronic Health Records: A Context-aware Natural Language Processing Approach.
Proceedings of the AMIA 2022, 2022

2020
Distributed caching in the future generation networks.
PhD thesis, 2020

A Fog caching scheme enabled by ICN for IoT environments.
Future Gener. Comput. Syst., 2020

Blockchain Technology in Current Agricultural Systems: From Techniques to Applications.
IEEE Access, 2020

2018
Semi-Edge: From Edge Caching to Hierarchical Caching in Network Fog.
Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking, 2018


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