Junyi Wu

Orcid: 0009-0003-8867-7285

Affiliations:
  • University of Illinois Chicago (UIC), Chicago, IL, USA


According to our database1, Junyi Wu authored at least 17 papers between 2024 and 2025.

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

2025
Consistent Instance Field for Dynamic Scene Understanding.
CoRR, December, 2025

From Particles to Fields: Reframing Photon Mapping with Continuous Gaussian Photon Fields.
CoRR, December, 2025

TraceFlow: Dynamic 3D Reconstruction of Specular Scenes Driven by Ray Tracing.
CoRR, December, 2025

Motion Marionette: Rethinking Rigid Motion Transfer via Prior Guidance.
CoRR, November, 2025

Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos.
CoRR, September, 2025

Efficient Multimodal Dataset Distillation via Generative Models.
CoRR, September, 2025

CaO<sub>2</sub>: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation.
CoRR, June, 2025

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction.
CoRR, March, 2025

Visual Grounding with Attention-Driven Constraint Balancing.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

QuEST: Low-Bit Diffusion Model Quantization via Efficient Selective Finetuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Intelligent salivary biosensors for periodontitis: in vitro simulation of oral oxidative stress conditions.
Medical Biol. Eng. Comput., August, 2024

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning.
CoRR, 2024

PTQ4DiT: Post-training Quantization for Diffusion Transformers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Dataset Quantization with Active Learning Based Adaptive Sampling.
Proceedings of the Computer Vision - ECCV 2024, 2024

On the Faithfulness of Vision Transformer Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Token Transformation Matters: Towards Faithful Post-Hoc Explanation for Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024


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