Shikun Li

Orcid: 0000-0003-4297-9571

According to our database1, Shikun Li authored at least 30 papers between 2019 and 2026.

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

Timeline

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Links

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Bibliography

2026
Enhancing LLM-based medical decision-making by test-time knowledge acquisition.
Health Inf. Sci. Syst., December, 2026

Uncertain Autoregressive Conditional Heteroskedasticity Model with Application in Financial Market.
J. Uncertain Syst., March, 2026

Privacy-Preserving Model Transcription with Differentially Private Synthetic Distillation.
CoRR, January, 2026

2025
LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment.
CoRR, June, 2025

Improving the Lifelong Planning A-star algorithm to satisfy path planning for space truss cellular robots with dynamic obstacles.
Robotica, 2025

TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Transferring Annotator- and Instance-Dependent Transition Matrix for Learning From Crowds.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Research on Reconfiguration Strategies for Self-reconfiguring Modular Robots: A Review.
J. Intell. Robotic Syst., June, 2024

Three-dimensional truss path planning of cellular robots based on improved sparrow algorithm.
Robotica, February, 2024

Multimodal Composition Example Mining for Composed Query Image Retrieval.
IEEE Trans. Image Process., 2024

DANCE: Dual-View Distribution Alignment for Dataset Condensation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Real-Time Estimation for the Swimming Direction of Robotic Fish Based on IMU Sensors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning Natural Consistency Representation for Face Forgery Video Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Coupled Confusion Correction: Learning from Crowds with Sparse Annotations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Trustable Co-Label Learning From Multiple Noisy Annotators.
IEEE Trans. Multim., 2023

Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm.
CoRR, 2023

Multi-View Stereo Network With Gaussian Distribution Iteration.
IEEE Access, 2023

Federated Learning with Label-Masking Distillation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Model Conversion via Differentially Private Data-Free Distillation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Student Network Learning via Evolutionary Knowledge Distillation.
IEEE Trans. Circuits Syst. Video Technol., 2022

VPRNet: Virtual Points Registration Network for Partial-to-Partial Point Cloud Registration.
Remote. Sens., 2022

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Selective-Supervised Contrastive Learning with Noisy Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Cascaded Correlation Refinement for Robust Deep Tracking.
IEEE Trans. Neural Networks Learn. Syst., 2021

Super Edge 4-Points Congruent Sets-Based Point Cloud Global Registration.
Remote. Sens., 2021

2020
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


Low-Resolution Face Recognition in the Wild with Mixed-Domain Distillation.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019


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