Aojun Zhou

Cited by

	All	Since 2020
Citations	6061	5626
h-index	27	27
i10-index	35	35

2700

1350

675

2025

20172018201920202021202220232024202533 144 250 314 414 622 1145 2636 483

Public access

View all

16 articles

1 article

available

not available

Based on funding mandates

Co-authors

Anbang Yao (姚安邦)Principal AI Scientist, PE, Intel Labs ChinaVerified email at intel.com
Hongsheng Li (李鸿升)The Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
Renrui ZhangMMLab CUHK & Peking UniversityVerified email at pku.edu.cn
Yurong ChenSr. Principal AI Scientist / Research Director, Intel Labs ChinaVerified email at intel.com
Zimu LuPh.D. student at the Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Ke WangThe Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Kun YuanCASIA -> SenseTime -> KuaishouVerified email at kuaishou.com
Junting Pan (潘俊廷）Multimedia Lab (MMLab), The Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Yiwen GuoResearch ScientistVerified email at bytedance.com
Yuhui XuSalesforce ResearchVerified email at salesforce.com
Hao ZhaoTsinghua UniversityVerified email at air.tsinghua.edu.cn
Xudong LuPhD student, the Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Shilong ZhangUniversity of Hong KongVerified email at connect.hku.hk
Shaokai YeEPFLVerified email at epfl.ch
Junnan ZhuInstitute of Automation Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Kuan WangTsinghua University; Georgia Institute of TechnologyVerified email at gatech.edu
Dawei SunUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Rongyao Fang (方荣耀)MMLab, The Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Wenxiu SunThe Hong Kong University of Science and TechnologyVerified email at connect.ust.hk

Aojun Zhou

The Chinese University of Hong Kong

Verified email at link.cuhk.edu.hk

Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Incremental network quantization: Towards lossless cnns with low-precision weights A Zhou, A Yao, Y Guo, L Xu, Y Chen ICLR2017, 2017	1379	2017
Llama-adapter: Efficient fine-tuning of language models with zero-init attention R Zhang, J Han, A Zhou, X Hu, S Yan, P Lu, H Li, P Gao, Y Qiao ICLR2024, 2023	842	2023
Incorporating convolution designs into visual transformers K Yuan, S Guo, Z Liu, A Zhou, F Yu, W Wu ICCV2021, 2021	634	2021
Llama-adapter v2: Parameter-efficient visual instruction model P Gao, J Han, R Zhang, Z Lin, S Geng, A Zhou, W Zhang, P Lu, C He, ... arXiv preprint arXiv:2304.15010, 2023	559	2023
Omni-dimensional dynamic convolution C Li, A Zhou, A Yao ICLR2022, 2022	394	2022
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch A Zhou, Y Ma, J Zhu, J Liu, Z Zhang, K Yuan, W Sun, H Li ICLR2021, 2021	276	2021
Adversarial Robustness vs Model Compression, or Both? S Ye, K Xu, S Liu, H Cheng, JH Lambrechts, H Zhang, A Zhou, K Ma, ... ICCV2019, 2019	211	2019
Group Fisher Pruning for Practical Network Compression L Liu, S Zhang, Z Kuang, A Zhou, JH Xue, X Wang, Y Chen, W Yang, ... ICML2021, 7021-7032, 2021	182	2021
Deep neural network compression with single and multiple level quantization Y Xu, Y Wang, A Zhou, W Lin, H Xiong AAAI2018 32 (1), 2018	151	2018
Solving challenging math word problems using gpt-4 code interpreter with code-based self-verification A Zhou, K Wang, Z Lu, W Shi, S Luo, Z Qin, S Lu, A Jia, L Song, M Zhan, ... ICLR2024, 2023	147	2023
Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? R Zhang, D Jiang, Y Zhang, H Lin, Z Guo, P Qiu, A Zhou, P Lu, KW Chang, ... ECCV 2024, 2024	139	2024
Explicit loss-error-aware quantization for low-bit deep neural networks A Zhou, A Yao, K Wang, Y Chen CVPR2018, 9426-9435, 2018	109	2018
Deeply-supervised knowledge synergy D Sun, A Yao, A Zhou, H Zhao CVPR2019, 6997-7006, 2019	95	2019
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning K Wang, H Ren, A Zhou, Z Lu, S Luo, W Shi, R Zhang, L Song, M Zhan, ... ICLR2024 (Co-first Author), 2023	85	2023
Journeydb: A benchmark for generative image understanding K Sun, J Pan, Y Ge, H Li, H Duan, X Wu, R Zhang, A Zhou, Z Qin, Y Wang, ... Advances in neural information processing systems 36, 49659-49678, 2023	79	2023
Measuring multimodal mathematical reasoning with math-vision dataset K Wang, J Pan, W Shi, Z Lu, H Ren, A Zhou, M Zhan, H Li Advances in Neural Information Processing Systems 37, 95095-95169, 2024	78	2024
Not all features matter: Enhancing few-shot clip with adaptive prior refinement X Zhu, R Zhang, B He, A Zhou, D Wang, B Zhao, P Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	78	2023
DominoSearch: Find layer-wise fine-grained N: M sparse schemes from dense neural networks W Sun, A Zhou, S Stuijk, R Wijnhoven, AO Nelson, H Corporaal NeurIPS2021 34, 2021	68	2021
An algorithm–hardware co-optimized framework for accelerating N: M sparse transformers C Fang, A Zhou, Z Wang IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (11 …, 2022	62	2022
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions A Zhou, D Li, A Yao, equal contribution ICCV2019, 2019	53*	2019

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors