Aojun Zhou

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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
Kun YuanCASIA -> SenseTime -> KuaishouVerified email at kuaishou.com
Yiwen GuoResearch ScientistVerified email at bytedance.com
Yuhui XuSalesforce ResearchVerified email at salesforce.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
weikang shiCUHKVerified email at link.cuhk.edu.hk
Hao ZhaoTsinghua UniversityVerified email at air.tsinghua.edu.cn
Junting Pan (潘俊廷）Multimedia Lab (MMLab), The Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Shaokai YeEPFLVerified email at epfl.ch
Shilong ZhangUniversity of Hong KongVerified email at connect.hku.hk
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
Xudong LuPhD student, the Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Rongyao Fang (方荣耀)MMLab, 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	1317	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	596	2023
Incorporating convolution designs into visual transformers K Yuan, S Guo, Z Liu, A Zhou, F Yu, W Wu ICCV2021, 2021	552	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	433	2023
Omni-dimensional dynamic convolution C Li, A Zhou, A Yao ICLR2022, 2022	285	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	229	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	197	2019
Deep neural network compression with single and multiple level quantization Y Xu, Y Wang, A Zhou, W Lin, H Xiong AAAI2018 32 (1), 2018	144	2018
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	143	2021
Explicit loss-error-aware quantization for low-bit deep neural networks A Zhou, A Yao, K Wang, Y Chen CVPR2018, 9426-9435, 2018	111	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	91	2023
Deeply-supervised knowledge synergy D Sun, A Yao, A Zhou, H Zhao CVPR2019, 6997-7006, 2019	87	2019
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	50	2022
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	50	2021
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions A Zhou, D Li, A Yao, equal contribution ICCV2019, 2019	48*	2019
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	45	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	45	2023
Group R-CNN for weakly semi-supervised object detection with points S Zhang, Z Yu, L Liu, X Wang, A Zhou, K Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	43	2022
Journeydb: A benchmark for generative image understanding J Pan, K Sun, Y Ge, H Li, H Duan, X Wu, R Zhang, A Zhou, Z Qin, Y Wang, ... Neurips 2023 DAB tracks, 2023	36	2023
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	32	2023

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