Wei Liu

Orcid: 0000-0002-2343-8254

Affiliations:
  • Wuhan Institute of Technology, School of Computer Science and Engineering, Hubei Key Laboratory of Intelligent Robot, China
  • Shenzhen University, China College of Electronics and Information Engineering, China (former)


According to our database1, Wei Liu authored at least 21 papers between 2009 and 2026.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2026
EKT-ML: An efficient knowledge tracing model with multi-task learning.
Expert Syst. Appl., 2026

2025
Large Language Models are in-Context Molecule Learners.
IEEE Trans. Knowl. Data Eng., July, 2025

Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team.
CoRR, June, 2025

FAGCL: frequency-based augmentation graph contrastive learning for recommendation.
Appl. Intell., January, 2025

A simple yet effective difficulty-aware bucketed fine-tuning strategy for LLM-based recommendation.
Knowl. Based Syst., 2025

DMAM: Difficulty-enhanced multi-view attention-based model for knowledge tracing.
Knowl. Based Syst., 2025

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts.
CoRR, 2024

ChemLLM: A Chemical Large Language Model.
CoRR, 2024

Empowering and Assessing the Utility of Large Language Models in Crop Science.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AFBench: A Large-scale Benchmark for Airfoil Design.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MCL4SRec: A Sequential Recommendation Model with Multi-level Contrastive Learning.
Proceedings of the 27th International Conference on Information Fusion, 2024

2022
Deep representation learning for face hallucination.
Multim. Tools Appl., 2022

An Unsupervised Attentive-Adversarial Learning Framework for Single Image Deraining.
CoRR, 2022

Holistic Attention-Fusion Adversarial Network for Single Image Defogging.
CoRR, 2022

2021
Image Defogging Quality Assessment: Real-World Database and Method.
IEEE Trans. Image Process., 2021

Single Image Super-Resolution via Multi-Scale Information Polymerization Network.
IEEE Signal Process. Lett., 2021

Face Hallucination via Split-Attention in Split-Attention Network.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
End-to-End Single Image Fog Removal Using Enhanced Cycle Consistent Adversarial Networks.
IEEE Trans. Image Process., 2020

2019
A physics based generative adversarial network for single image defogging.
Image Vis. Comput., 2019

2009
Design Optimization under Aleatory and Epistemic Uncertainties.
Proceedings of the Eighth IEEE International Conference on Dependable, 2009


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