Bo Liu

Orcid: 0000-0002-2113-7853

Affiliations:
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong


According to our database1, Bo Liu authored at least 21 papers between 2008 and 2024.

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

Timeline

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2022
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis.
CoRR, 2024

Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection.
CoRR, 2024

TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning.
CoRR, 2024

How Good Are LLMs at Out-of-Distribution Detection?
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Continual Dialogue State Tracking via Reason-of-Select Distillation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning.
IEEE Trans. Medical Imaging, May, 2023

Making Multimodal Generation Easier: When Diffusion Models Meet LLMs.
CoRR, 2023

How Good Are Large Language Models at Out-of-Distribution Detection?
CoRR, 2023

Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark.
CoRR, 2023

Towards LLM-driven Dialogue State Tracking.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models.
Proceedings of the Conference on Health, Inference, and Learning, 2023

2022
Modeling User Behavior with Graph Convolution for Personalized Product Search.
CoRR, 2022

Modeling User Behavior with Graph Convolution for Personalized Product Search.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021
Joint Computation Partitioning and Resource Allocation for Latency Sensitive Applications in Mobile Edge Clouds.
IEEE Trans. Serv. Comput., 2021

Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Medical Visual Question Answering via Conditional Reasoning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2008
An Analytical Model for Broadcasting by Self Pruning in Wireless Ad Hoc Networks.
Proceedings of the 2008 IEEE/IPIP International Conference on Embedded and Ubiquitous Computing (EUC 2008), 2008


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