Yimin Zhou

Affiliations:
  • Tsinghua University, SIGS, Beijing, China
  • Harbin Institute of Technology Shenzhen (HITSZ), Shenzhen, China (former)


According to our database1, Yimin Zhou authored at least 13 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models.
CoRR, May, 2026

ActErase: A Training-Free Paradigm for Precise Concept Erasure via Activation Patching.
CoRR, January, 2026

Towards Efficient Low-rate Image Compression with Frequency-aware Diffusion Prior Refinement.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Splatwizard: A Benchmark Toolkit for 3D Gaussian Splatting Compression.
CoRR, December, 2025

Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models.
CoRR, September, 2025

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets.
CoRR, May, 2025

High Quality Underwater Image Compression with Adaptive Correction and Codebook-based Augmentation.
CoRR, May, 2025

Towards Facial Image Compression with Consistency Preserving Diffusion Prior.
CoRR, May, 2025

DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
MambaVC: Learned Visual Compression with Selective State Spaces.
CoRR, 2024

Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.
Proceedings of the IEEE International Conference on Image Processing, 2024

2023
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.
CoRR, 2023


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