Wenqi Shao

Orcid: 0000-0003-3781-4086

According to our database¹, Wenqi Shao authored at least 46 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

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

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

[BibT_eX]

[DOI]

CoRR, 2024

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[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

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

Tree-Planner: Efficient Close-loop Task Planning with 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

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.

[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

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers.

[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

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