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Jing Liu
Jing Liu
PhD Candidate, Monash University
Verified email at monash.edu - Homepage
Title
Cited by
Cited by
Year
Discrimination-aware channel pruning for deep neural networks
Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu
Advances in neural information processing systems 31, 2018
7022018
Scalable vision transformers with hierarchical pooling
Z Pan, B Zhuang, J Liu, H He, J Cai
Proceedings of the IEEE/cvf international conference on computer vision, 377-386, 2021
1382021
Discrimination-aware Network Pruning for Deep Model Compression
J Liu, B Zhuang, Z Zhuang, Y Guo, J Huang, J Zhu, M Tan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 1, 1-15, 2021
1132021
Generative low-bitwidth data free quantization
S Xu, H Li, B Zhuang, J Liu, J Cao, C Liang, M Tan
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1132020
Less is more: Pay less attention in vision transformers
Z Pan, B Zhuang, H He, J Liu, J Cai
Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2035-2043, 2022
612022
Effective training of convolutional neural networks with low-bitwidth weights and activations
B Zhuang, M Tan, J Liu, L Liu, I Reid, C Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6140 …, 2021
372021
Pruning self-attentions into convolutional layers in single path
H He, J Cai, J Liu, Z Pan, J Zhang, D Tao, B Zhuang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
302024
Aqd: Towards accurate quantized object detection
P Chen, J Liu, B Zhuang, M Tan, C Shen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
302021
A survey on efficient training of transformers
B Zhuang, J Liu, Z Pan, H He, Y Weng, C Shen
arXiv preprint arXiv:2302.01107, 2023
262023
Ecoformer: Energy-saving attention with linear complexity
J Liu, Z Pan, H He, J Cai, B Zhuang
NeurIPS Spotlight, 2022
222022
Ptqd: Accurate post-training quantization for diffusion models
Y He, L Liu, J Liu, W Wu, H Zhou, B Zhuang
Advances in Neural Information Processing Systems 36, 2024
162024
Deep Transferring Quantization
MT Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu
European Conference on Computer Vision (ECCV) 2020, 2020
16*2020
Conditional automated channel pruning for deep neural networks
Y Liu, Y Guo, J Guo, L Jiang, J Chen
IEEE Signal Processing Letters 28, 1275-1279, 2021
152021
Sharpness-aware quantization for deep neural networks
J Liu, J Cai, B Zhuang
arXiv preprint arXiv:2111.12273, 2021
132021
Mesa: A memory-saving training framework for transformers
Z Pan, P Chen, H He, J Liu, J Cai, B Zhuang
arXiv preprint arXiv:2111.11124, 2021
132021
Qllm: Accurate and efficient low-bitwidth quantization for large language models
J Liu, R Gong, X Wei, Z Dong, J Cai, B Zhuang
arXiv preprint arXiv:2310.08041, 2023
122023
Dynamic Focus-aware Positional Queries for Semantic Segmentation
H He, J Cai, Z Pan, J Liu, J Zhang, D Tao, B Zhuang
CVPR 2023, 2022
102022
Single-path bit sharing for automatic loss-aware model compression
J Liu, B Zhuang, P Chen, C Shen, J Cai, M Tan
TPAMI, 2023
6*2023
Focusformer: Focusing on what we need via architecture sampler
J Liu, J Cai, B Zhuang
arXiv preprint arXiv:2208.10861, 2022
52022
Efficientdm: Efficient quantization-aware fine-tuning of low-bit diffusion models
Y He, J Liu, W Wu, H Zhou, B Zhuang
arXiv preprint arXiv:2310.03270, 2023
42023
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