Aojun Zhou
Aojun Zhou
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Incremental network quantization: Towards lossless cnns with low-precision weights
A Zhou, A Yao, Y Guo, L Xu, Y Chen
ICLR2017, 2017
Incorporating convolution designs into visual transformers
K Yuan, S Guo, Z Liu, A Zhou, F Yu, W Wu
ICCV2021, 2021
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
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
Omni-dimensional dynamic convolution
C Li, A Zhou, A Yao
ICLR2022, 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
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
Deep neural network compression with single and multiple level quantization
Y Xu, Y Wang, A Zhou, W Lin, H Xiong
AAAI2018 32 (1), 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
Explicit loss-error-aware quantization for low-bit deep neural networks
A Zhou, A Yao, K Wang, Y Chen
CVPR2018, 9426-9435, 2018
Deeply-supervised knowledge synergy
D Sun, A Yao, A Zhou, H Zhao
CVPR2019, 6997-7006, 2019
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
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
A Zhou*, D Li*, A Yao, equal contribution
ICCV2019, 2019
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
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
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
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
Incremental network quantization: Towards lossless cnns with low-precision weights. arXiv 2017
A Zhou, A Yao, Y Guo, L Xu, Y Chen
arXiv preprint arXiv:1702.03044, 2017
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
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
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