Wenqi Shao

Orcid: 0000-0003-3781-4086

According to our database¹, Wenqi Shao authored at least 72 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents.

[BibT_eX]

[DOI]

CoRR, 2024

TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping.

[BibT_eX]

[DOI]

CoRR, 2024

ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification and KV Cache Compression.

[BibT_eX]

[DOI]

CoRR, 2024

DCP: Learning Accelerator Dataflow for Neural Network via Propagation.

[BibT_eX]

[DOI]

CoRR, 2024

Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.

[BibT_eX]

[DOI]

CoRR, 2024

PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

HRVMamba: High-Resolution Visual State Space Model for Dense Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Task-Oriented Diffusion Inversion for High-Fidelity Text-based Editing.

[BibT_eX]

[DOI]

CoRR, 2024

HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2024

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality.

[BibT_eX]

[DOI]

CoRR, 2024

GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices.

[BibT_eX]

[DOI]

CoRR, 2024

Needle In A Multimodal Haystack.

[BibT_eX]

[DOI]

CoRR, 2024

UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge.

[BibT_eX]

[DOI]

CoRR, 2024

Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Adapting LLaMA Decoder to Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Adversarial Visual-Instructions.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Implicit Prompt For Text-To-Image Models.

[BibT_eX]

[DOI]

CoRR, 2024

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation.

[BibT_eX]

[DOI]

CoRR, 2024

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.

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[DOI]

CoRR, 2024

Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching.

[BibT_eX]

[DOI]

CoRR, 2024

ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Towards Implicit Prompt For Text-To-Image Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Align, Adapt and Inject: Audio-Guided Image Generation, Editing and Stylization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Cached Transformers: Improving Transformers with Differentiable Memory Cachde.

[BibT_eX]

[DOI]

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

2023

Cached Transformers: Improving Transformers with Differentiable Memory Cache.

[BibT_eX]

[DOI]

CoRR, 2023

MLLMs-Augmented Visual-Language Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

DiffusionMat: Alpha Matting as Sequential Refinement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Language-driven Open-Vocabulary Keypoint Detection for Animal Body and Face.

[BibT_eX]

[DOI]

CoRR, 2023

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

ImageBind-LLM: Multi-modality Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Tiny LVLM-eHub: Early Multimodal Experiments with Bard.

[BibT_eX]

[DOI]

CoRR, 2023

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.

[BibT_eX]

[DOI]

CoRR, 2023

Align, Adapt and Inject: Sound-guided Unified Image Generation.

[BibT_eX]

[DOI]

CoRR, 2023

LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Foundation Model is Efficient Multimodal Multitask Model Selector.

[BibT_eX]

[DOI]

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

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Beyond One-to-One: Rethinking the Referring Image Segmentation.

[BibT_eX]

[DOI]

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

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers.

[BibT_eX]

[DOI]

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

Real-Time Controllable Denoising for Image and Video.

[BibT_eX]

[DOI]

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

2022

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2022

Dynamic Token Normalization improves Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Dynamic Token Normalization Improves Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2021

BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening.

[BibT_eX]

[DOI]

CoRR, 2021

Rethinking the Pruning Criteria for Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

What Makes for End-to-End Object Detection?

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

SSN: Learning Sparse Switchable Normalization via SparsestMax.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Channel Equilibrium Networks for Learning Deep Representation.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learning Efficient Detector with Semi-supervised Adaptive Distillation.

[BibT_eX]

[DOI]

CoRR, 2019

Differentiable Dynamic Normalization for Learning Deep Representation.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Towards Understanding Regularization in Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

SSN: Learning Sparse Switchable Normalization via SparsestMax.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Efficient Detector with Semi-supervised Adaptive Distillation.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Wenqi Shao

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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