Shuo Li
72 papers · 2015–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 28 separate collaboration groups - the largest holds only 24% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Shuo Li?
11 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Rongchang Zhao, Zailiang Chen, Wangmin Liao
3 papers
· 2019–2025
· MICCAI, ECCV, AAAI
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RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning
MICCAI 2025
EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis
ECCV 2020
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis
AAAI 2019
17 papers whose co-authors appear nowhere else under this name
A Brain-Inspired Saliency Prediction Framework for Human-AI Cognitive Consistency in AIGC Content via Multi-Region Liquid Neurons
AAAI 2026
CMR-RD: Long-Tailed Adaptive VLM for Explainable CMR Diagnosis
CVPR 2026
DREAM: Document Recognition with Explicit Adaptive Memory
CVPR 2026
Remote TCP Connection Offload and Applications
NSDI 2026
Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning
CVPR 2026
Towards Long-window Anchoring in Vision-Language Model Distillation
AAAI 2026
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems
AAAI 2025
Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays
MICCAI 2025
Debate-Feedback: A Multi-Agent Framework for Efficient Legal Judgment Prediction
NAACL 2025
E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
MICCAI 2025
Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation
MICCAI 2025
Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem
MICCAI 2025
Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction
MICCAI 2024
MOMENT: A Family of Open Time-series Foundation Models
ICML 2024
CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision
ICCV 2023
OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation
AAAI 2020
Bi-Parameter Space Partition for Cost-Sensitive SVM
IJCAI 2015