Yuzhang Shang

According to our database1, Yuzhang Shang authored at least 35 papers between 2021 and 2025.

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

Timeline

2021
2022
2023
2024
2025
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5
10
15
20
25
13
4
1
9
4
3
1

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Quantized-ViT Efficient Training via Fisher Matrix Regularization.
Proceedings of the MultiMedia Modeling, 2025

2024
E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling.
CoRR, 2024

freePruner: A Training-free Approach for Large Multimodal Model Acceleration.
CoRR, 2024

Prompt Diffusion Robustifies Any-Modality Prompt Learning.
CoRR, 2024

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models.
CoRR, 2024

Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning.
CoRR, 2024

Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner.
CoRR, 2024

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture.
CoRR, 2024

Distilling Long-tailed Datasets.
CoRR, 2024

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training.
CoRR, 2024

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models.
CoRR, 2024

Online Multi-spectral Neuron Tracing.
CoRR, 2024

LLM Inference Unveiled: Survey and Roofline Model Insights.
CoRR, 2024

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

HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

FBPT: A Fully Binary Point Transformer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PB-LLM: Partially Binarized Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Supplementing Missing Visions Via Dialog for Scene Graph Generations.
Proceedings of the IEEE International Conference on Acoustics, 2024

Adaptive Cross-Architecture Mutual Knowledge Distillation.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

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

Enhancing Post-Training Quantization Calibration Through Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Efficient Multitask Dense Predictor via Binarization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.
CoRR, 2023

PB-LLM: Partially Binarized Large Language Models.
CoRR, 2023

RPTQ: Reorder-based Post-training Quantization for Large Language Models.
CoRR, 2023

BPT: Binary Point Cloud Transformer for Place Recognition.
CoRR, 2023

MIM4DD: Mutual Information Maximization for Dataset Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal-DFQ: Causality Guided Data-free Network Quantization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Post-Training Quantization on Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Network Specialization via Feature-level Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Win The Lottery Ticket Via Fourier Analysis: Frequencies Guided Network Pruning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Network Binarization via Contrastive Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Lipschitz Continuity Retained Binary Neural Network.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Lipschitz Continuity Guided Knowledge Distillation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021


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