Aojun Zhou

According to our database, Aojun Zhou authored at least 50 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Rongyao Fang, Peng Gao, Aojun Zhou, Yingjie Cai, Si Liu, Jifeng Dai, Hongsheng Li

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

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

Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang

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

Pyramid Fusion Transformer for Semantic Segmentation.

Zipeng Qin, Jianbo Liu, Xiaolin Zhang, Maoqing Tian, Aojun Zhou, Shuai Yi, Hongsheng Li

IEEE Trans. Multim., 2024

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

Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li

CoRR, 2024

ThinK: Thinner Key Cache by Query-Driven Pruning.

Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo

CoRR, 2024

MAVIS: Mathematical Visual Instruction Tuning.

Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Yichi Zhang, Ziyu Guo, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Bin Wei, Shanghang Zhang, Peng Gao, Hongsheng Li

CoRR, 2024

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

Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li

CoRR, 2024

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

Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Aojun Zhou, Junting Pan, Hongsheng Li

CoRR, 2024

TerDiT: Ternary Diffusion Models with Transformers.

Xudong Lu, Aojun Zhou, Ziyi Lin, Qi Liu, Yuhui Xu, Renrui Zhang, Yafei Wen, Shuai Ren, Peng Gao, Junchi Yan, Hongsheng Li

CoRR, 2024

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

Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li

CoRR, 2024

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

Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li

CoRR, 2024

NOAH: Learning Pairwise Object Category Attentions for Image Classification.

Chao Li, Aojun Zhou, Anbang Yao

CoRR, 2024

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

Sichun Luo, Yuxuan Yao, Bowei He, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Mingjie Zhan, Linqi Song

CoRR, 2024

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

Jingqiu Zhou, Aojun Zhou, Hongsheng Li

CoRR, 2024

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

Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui Zhang, Peng Gao, Hongsheng Li

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.

Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Graph Lottery Ticket Automated.

Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models Augmented Rating Prediction in Recommender System.

Sichun Luo, Jiansheng Wang, Aojun Zhou, Li Ma, Linqi Song

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Yu Qiao, Peng Gao, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li

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.

Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li

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.

Sichun Luo, Bowei He, Haohan Zhao, Yinya Huang, Aojun Zhou, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song

CoRR, 2023

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

Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang

CoRR, 2023

JourneyDB: A Benchmark for Generative Image Understanding.

Junting Pan, Keqiang Sun, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Hongsheng Li

CoRR, 2023

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

Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, Yu Qiao

CoRR, 2023

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

Renrui Zhang, Jiaming Han, Aojun Zhou, Xiangfei Hu, Shilin Yan, Pan Lu, Hongsheng Li, Peng Gao, Yu Qiao

CoRR, 2023

JourneyDB: A Benchmark for Generative Image Understanding.

Keqiang Sun, Junting Pan, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Limin Wang, Hongsheng Li

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.

Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao

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

SparseMAE: Sparse Training Meets Masked Autoencoders.

Aojun Zhou, Yang Li, Zipeng Qin, Jianbo Liu, Junting Pan, Renrui Zhang, Rui Zhao, Peng Gao, Hongsheng Li

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

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

Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang

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

2022

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

Chao Fang, Aojun Zhou, Zhongfeng Wang

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

Omni-Dimensional Dynamic Convolution.

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.

Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen

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.

Wei Sun, Aojun Zhou, Sander Stuijk, Rob G. J. Wijnhoven, Andrew Nelson, Hongsheng Li, Henk Corporaal

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.

Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang

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

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

Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li

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

Differentiable Dynamic Wirings for Neural Networks.

Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu

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

Incorporating Convolution Designs into Visual Transformers.

Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu

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

2020

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

Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan

CoRR, 2020

2019

Towards Improving Generalization of Deep Networks via Consistent Normalization.

Aojun Zhou, Yukun Ma, Yudian Li, Xiaohan Zhang, Ping Luo

CoRR, 2019

Second Rethinking of Network Pruning in the Adversarial Setting.

Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin

CoRR, 2019

Adversarial Robustness vs. Model Compression, or Both?

Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang

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

HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions.

Duo Li, Aojun Zhou, Anbang Yao

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

Deeply-Supervised Knowledge Synergy.

Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao

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

2018

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

Aojun Zhou, Anbang Yao, Kuan Wang, Yurong Chen

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

Multisite Schizophrenia Classification Based on Brainnetome Atlas by Deep Learning.

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.

Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong

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

2017

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

Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen

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