Yi Li

Orcid: 0000-0002-7840-2611

Affiliations:
  • Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
  • SenseTime Research


According to our database1, Yi Li authored at least 22 papers between 2019 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification.
CoRR, August, 2025

Token Activation Map to Visually Explain Multimodal LLMs.
CoRR, June, 2025

UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation.
CoRR, May, 2025

Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting.
CoRR, May, 2025

GlandSAM: Injecting Morphology Knowledge Into Segment Anything Model for Label-Free Gland Segmentation.
IEEE Trans. Medical Imaging, February, 2025

A closer look at the explainability of Contrastive language-image pre-training.
Pattern Recognit., 2025

2024
Exploiting Hierarchical Interactions for Protein Surface Learning.
IEEE J. Biomed. Health Informatics, April, 2024

Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-parametric Classifier.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Cross-domain multi-style merge for image captioning.
Comput. Vis. Image Underst., February, 2023

Cross task neural architecture search for EEG signal recognition.
Neurocomputing, 2023

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks.
CoRR, 2023

Context-Aware Pseudo-label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Cross Task Neural Architecture Search for EEG Signal Classifications.
CoRR, 2022

Exploring Visual Interpretability for Contrastive Language-Image Pre-training.
CoRR, 2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.
CoRR, 2022

Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Pseudo-mask Matters inWeakly-supervised Semantic Segmentation.
CoRR, 2021

Towards Impartial Multi-task Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Pseudo-mask Matters in Weakly-supervised Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019
Data-Driven Neuron Allocation for Scale Aggregation Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


  Loading...