Zhongqi Yue

According to our database1, Zhongqi Yue authored at least 17 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning.
CoRR, May, 2025

Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning.
CoRR, April, 2025

Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program.
CoRR, April, 2025

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness.
CoRR, 2024

Exploring Diffusion Time-steps for Unsupervised Representation Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Few-Shot Learner Parameterization by Diffusion Time-Steps.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector.
CoRR, 2023

Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Random Boxes Are Open-world Object Detectors.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Invariant Feature Regularization for Fair Face Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Self-Supervised Learning Disentangled Group Representation as Feature.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Transporting Causal Mechanisms for Unsupervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Counterfactual Zero-Shot and Open-Set Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Interventional Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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