Chaoqun Du

Orcid: 0000-0003-4690-3793

According to our database1, Chaoqun Du authored at least 12 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
StreamingClaw Technical Report.
CoRR, March, 2026

EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning.
CoRR, March, 2026

2025
MindWatcher: Toward Smarter Multimodal Tool-Integrated Reasoning.
CoRR, December, 2025

MindGPT-4ov: An Enhanced MLLM via a Multi-Stage Post-Training Paradigm.
CoRR, December, 2025

BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition.
CoRR, June, 2025

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation.
CoRR, 2024

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.
CoRR, 2024

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022
The High Separation Probability Assumption for Semi-Supervised Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Assessing a Single Image in Reference-Guided Image Synthesis.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022


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