Xiawu Zheng

Orcid: 0000-0002-6855-5403

According to our database¹, Xiawu Zheng authored at least 60 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2024

AffineQuant: Affine Transformation Quantization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Data Interpreter: An LLM Agent For Data Science.

[BibT_eX]

[DOI]

CoRR, 2024

EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Feature Denoising Diffusion Model for Blind Image Quality Assessment.

[BibT_eX]

[DOI]

CoRR, 2024

Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Binding-Adaptive Diffusion Models for Structure-Based Drug Design.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., May, 2023

Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity.

[BibT_eX]

[DOI]

CoRR, 2023

Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment.

[BibT_eX]

[DOI]

CoRR, 2023

AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration.

[BibT_eX]

[DOI]

CoRR, 2023

DLIP: Distilling Language-Image Pre-training.

[BibT_eX]

[DOI]

CoRR, 2023

A Unified Framework for 3D Point Cloud Visual Grounding.

[BibT_eX]

[DOI]

CoRR, 2023

MetaGPT: Meta Programming for Multi-Agent Collaborative Framework.

[BibT_eX]

[DOI]

CoRR, 2023

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network.

[BibT_eX]

[DOI]

CoRR, 2023

Two-Stage Deep Learning Segmentation for Tiny Brain Regions.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

GLViG: Global and Local Vision GNN May Be What You Need for Vision.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge Prompt-tuning for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Unified Framework for Soft Threshold Pruning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Sparse Neural Networks with Identity Layers.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 12th International Conference, 2023

AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Meta Architecture for Point Cloud Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Novel Neighbor Aggregation Function for Medical Point Cloud Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computer Graphics, 2023

Data-Efficient Image Quality Assessment with Attention-Panel Decoder.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

OMPQ: Orthogonal Mixed Precision Quantization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Meta Architecure for Point Cloud Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Iterative Data Refinement for Self-Supervised MR Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

What Hinders Perceptual Quality of PSNR-oriented Methods?

[BibT_eX]

[DOI]

CoRR, 2022

Searching Lightweight Neural Network for Image Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Training-free Transformer Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neural Architecture Search with Representation Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Aggregating Global and Local Visual Representation for Vehicle Re-IDentification.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Binarized Neural Architecture Search for Efficient Object Recognition.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

OMPQ: Orthogonal Mixed Precision Quantization.

[BibT_eX]

[DOI]

CoRR, 2021

An Information Theory-inspired Strategy for Automatic Network Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient.

[BibT_eX]

[DOI]

CoRR, 2021

On Evolving Attention Towards Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

CDP: Towards Optimal Filter Pruning via Class-wise Discriminative Power.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

PAMS: Quantized Super-Resolution via Parameterized Max Scale.

[BibT_eX]

[DOI]

CoRR, 2020

PAMS: Quantized Super-Resolution via Parameterized Max Scale.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Rethinking Performance Estimation in Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Binarized Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Dynamic Distribution Pruning for Efficient Network Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

Multinomial Distribution Learning for Effective Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Xiawu Zheng

Timeline

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On csauthors.net:

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