Jiang Bian
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Jiang Bian 001 (University of Florida, Department of Health Outcomes and Biomedical Informatics, Gainesville, FL, USA)
- Jiang Bian 002 (Microsoft Research Asia, Beijing, China)
- Jiang Bian 003 (Baidu Research, Big Data Laboratory, Beijing, China)
- Jiang Bian 004 (Chinese Academy of Sciences, Institute of Automation, State Key Laboratory for Management and Control of Complex Systems, Beijing, China)
- Jiang Bian 005 (Northwest A&F University, Yangling, China)
- Jiang Bian 006 (University of Technology Sydney, Australia)
- Jiang Bian 007 (University of Hong Kong, Pokfulam, Hong Kong)
- Jiang Bian 008 (Shanghai Jiaotong University, Department of Computer Science and Engineering, China)
Bibliography
2025
An intelligent font generation system based on stroke inference, mitigating production labor and enhancing design experience.
Expert Syst. Appl., 2025
2024
Truck-Drone Hybrid Delivery Routing: A Mathematical Model and Micro- Evolutionary Algorithm.
IEEE Trans. Intell. Transp. Syst., September, 2024
Mapping Crop Evapotranspiration by Combining the Unmixing and Weight Image Fusion Methods.
Remote. Sens., July, 2024
A Combined Method of Seismic Monitoring and Transient Electromagnetic Detection for the Evaluation of Hydraulic Fracturing Effect in Coal Burst Prevention.
Sensors, March, 2024
Int. J. Web Based Learn. Teach. Technol., 2024
CoRR, 2024
WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models.
CoRR, 2024
Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning.
CoRR, 2024
Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis.
Briefings Bioinform., 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
2023
A High-Precision Real-Time Pose Measurement Method for the Primary Lens of Large Aperture Space Telescope Based on Laser Ranging.
Sensors, 2023
CoRR, 2023
Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions.
CoRR, 2023
2022
Remote. Sens., 2022
Cut-in Prediction in Egocentric Videos using Extended Environment Perception with Status Descriptors.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022
2018
Neural Networks, 2018
2017
Combine biological experiments, statistical analysis, and semantic search to discover association among high-sensitive C-reactive protein, body fat mass distribution, and other cardiometabolic risk factors in young healthy women.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2013
Proceedings of the IEEE International Conference on Systems, 2013