Aojun Zhou

Orcid: 0000-0002-4742-8624

According to our database¹, Aojun Zhou authored at least 61 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2025

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., September, 2025

MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning.

[BibT_eX]

[DOI]

CoRR, June, 2025

UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents.

[BibT_eX]

[DOI]

CoRR, May, 2025

WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch.

[BibT_eX]

[DOI]

CoRR, May, 2025

GenieBlue: Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices.

[BibT_eX]

[DOI]

CoRR, March, 2025

MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ThinK: Thinner Key Cache by Query-Driven Pruning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Probability-Consistent Preference Optimization for Enhanced LLM Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

FeatAug-DETR: Enriching One-to-Many Matching for DETRs With Feature Augmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2024

Pyramid Fusion Transformer for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Chimera: Improving Generalist Model with Domain-Specific Experts.

[BibT_eX]

[DOI]

CoRR, 2024

ThinK: Thinner Key Cache by Query-Driven Pruning.

[BibT_eX]

[DOI]

CoRR, 2024

MAVIS: Mathematical Visual Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

TerDiT: Ternary Diffusion Models with Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

[BibT_eX]

[DOI]

CoRR, 2024

NOAH: Learning Pairwise Object Category Attentions for Image Classification.

[BibT_eX]

[DOI]

Chao Li

Aojun Zhou

Anbang Yao

CoRR, 2024

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation.

[BibT_eX]

[DOI]

CoRR, 2024

NODI: Out-Of-Distribution Detection with Noise from Diffusion.

[BibT_eX]

[DOI]

Jingqiu Zhou

Aojun Zhou

Hongsheng Li

CoRR, 2024

Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models.

[BibT_eX]

[DOI]

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

Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Graph Lottery Ticket Automated.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models Augmented Rating Prediction in Recommender System.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient N: M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design.

[BibT_eX]

[DOI]

CoRR, 2023

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

[BibT_eX]

[DOI]

CoRR, 2023

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

[BibT_eX]

[DOI]

CoRR, 2023

JourneyDB: A Benchmark for Generative Image Understanding.

[BibT_eX]

[DOI]

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

Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement.

[BibT_eX]

[DOI]

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

SparseMAE: Sparse Training Meets Masked Autoencoders.

[BibT_eX]

[DOI]

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

CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers.

[BibT_eX]

[DOI]

Chao Fang

Aojun Zhou

Zhongfeng Wang

IEEE Trans. Very Large Scale Integr. Syst., 2022

Omni-Dimensional Dynamic Convolution.

[BibT_eX]

[DOI]

Chao Li

Aojun Zhou

Anbang Yao

Proceedings of the Tenth International Conference on Learning Representations, 2022

Group R-CNN for Weakly Semi-supervised Object Detection with Points.

[BibT_eX]

[DOI]

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

2021

DominoSearch: Find layer-wise fine-grained N: M sparse schemes from dense neural networks.

[BibT_eX]

[DOI]

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

Group Fisher Pruning for Practical Network Compression.

[BibT_eX]

[DOI]

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

Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Differentiable Dynamic Wirings for Neural Networks.

[BibT_eX]

[DOI]

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

Incorporating Convolution Designs into Visual Transformers.

[BibT_eX]

[DOI]

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

2020

Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Towards Improving Generalization of Deep Networks via Consistent Normalization.

[BibT_eX]

[DOI]

CoRR, 2019

Second Rethinking of Network Pruning in the Adversarial Setting.

[BibT_eX]

[DOI]

Jan-Henrik Lambrechts

CoRR, 2019

Adversarial Robustness vs. Model Compression, or Both?

[BibT_eX]

[DOI]

Jan-Henrik Lambrechts

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

HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions.

[BibT_eX]

[DOI]

Duo Li

Aojun Zhou

Anbang Yao

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

Deeply-Supervised Knowledge Synergy.

[BibT_eX]

[DOI]

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

2018

Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multisite Schizophrenia Classification Based on Brainnetome Atlas by Deep Learning.

[BibT_eX]

[DOI]

Aojun Zhou

Yue Cui

Tianzi Jiang

Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

Deep Neural Network Compression With Single and Multiple Level Quantization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Aojun Zhou

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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