Lijian Li

Orcid: 0009-0006-2009-3269

Affiliations:
  • University of Macau, Department of Computer and Information Science, Macau
  • Southwest University, College of Computer and Information Science College of Software, Chongqing, China (former)


According to our database1, Lijian Li authored at least 17 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Co-Evidential Fusion with Information Volume for Medical Image Segmentation.
CoRR, June, 2025

Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation.
CoRR, May, 2025

Mutual Evidential Deep Learning for Medical Image Segmentation.
CoRR, May, 2025

Co-evidential fusion with information volume for semi-supervised medical image segmentation.
Pattern Recognit., 2025

Evidential Prototype Learning for Semi-supervised Medical Image Segmentation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Residual Feature-Reutilization Inception Network.
Pattern Recognit., 2024

Residual Feature-Reutilization Inception Network for Image Classification.
CoRR, 2024

Towards Realistic Long-tailed Semi-supervised Learning in an Open World.
CoRR, 2024

Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation.
CoRR, 2024

Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation.
CoRR, 2024

Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Mutual Evidential Deep Learning for Semi-supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Efficient Prototype Consistency Learning in Semi-Supervised Medical Image Segmentation via Joint Uncertainty and Data Augmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2022
NNDF: A New Neural Detection Network for Aspect-Category Sentiment Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2022

2021
Transformer-based Relation Detect Model for Aspect-based Sentiment Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2021


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