Weidong Han

Orcid: 0009-0004-8129-1686

According to our database1, Weidong Han authored at least 22 papers between 2009 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multi-Task Paired Masking With Alignment Modeling for Medical Vision-Language Pre-Training.
IEEE Trans. Multim., 2024

Semi-Supervised Medical Report Generation via Graph-Guided Hybrid Feature Consistency.
IEEE Trans. Multim., 2024

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization.
CoRR, 2024

2023
Joint Embedding of Deep Visual and Semantic Features for Medical Image Report Generation.
IEEE Trans. Multim., 2023

Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training.
CoRR, 2023

PVM: Efficient Shadow Paging for Deploying Secure Containers in Cloud-native Environment.
Proceedings of the 29th Symposium on Operating Systems Principles, 2023

Question Answering over Knowledge Graphs via Machine Reading Comprehension.
Proceedings of the Database Systems for Advanced Applications, 2023

What Makes Pre-trained Language Models Better Zero-shot Learners?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Adaptive Learning of Drug Quality and Optimization of Patient Recruitment for Clinical Trials with Dropouts.
Manuf. Serv. Oper. Manag., 2022

A contrastive triplet network for automatic chest X-ray reporting.
Neurocomputing, 2022

What Makes Pre-trained Language Models Better Zero/Few-shot Learners?
CoRR, 2022

RunD: A Lightweight Secure Container Runtime for High-density Deployment and High-concurrency Startup in Serverless Computing.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022

2021
Towards combinational relation linking over knowledge graphs.
World Wide Web, 2021

Learning efficient, explainable and discriminative representations for pulmonary nodules classification.
Pattern Recognit., 2021

2020
Incremental focal loss GANs.
Inf. Process. Manag., 2020

Optimal Online Learning for Nonlinear Belief Models Using Discrete Priors.
Oper. Res., 2020

Efficient Content Adaptive Plenoptic Video Coding.
IEEE Access, 2020

2017
Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss.
IEEE Trans. Inf. Theory, 2017

Optimal online learning in bidding for sponsored search auctions.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2015
Bayesian Multiple Target Localization.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Twenty Questions for Localizing Multiple Objects by Counting: Bayes Optimal Policies for Entropy Loss.
CoRR, 2014

2009
Studies on Interpretive Structural Model for Forest Ecosystem Management Decision-Making.
Proceedings of the Complex Sciences, 2009


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