Biography and Contact
I am a Ph.D. student of Faculty Information Technology at Monash University, Australia.
I am supervised by Asst. Prof. Bohan Zhuang, Prof. Jianfei Cai, and Prof. Chunhua Shen.
My main research topic is compressing and accelerating deep neural networks for resource-constrained edge devices.
Here is my google scholar.
Github: https://github.com/liujingcs.
Email: liujing_95@outlook.com.
Publications
(* indicates equal contributions)
Sharpness-aware Quantization for Deep Neural Networks
Jing Liu, Jianfei Cai, Bohan Zhuang
Pruning Self-attentions into Convolutional Layers in Single Path
Haoyu He, Jing Liu, Zizheng Pan, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang
Mesa: A Memory-saving Training Framework for Transformers
Zizheng Pan, Peng Chen, Haoyu He, Jing Liu, Jianfei Cai, Bohan Zhuang
Elastic Architecture Search for Diverse Tasks with Different Resources
Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai
[arxiv]
Less is More: PayLess Attentionin VisionTransformers
Zizheng Pan, Bohan Zhuang, Haoyu He, JingLiu, Jianfei Cai
AAAI Conference on Artificial Intelligence (AAAI), 2022
Scalable Visual Transformers with Hierarchical Pooling
Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai
International Conference on Computer Vision (ICCV), 2021
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang*, Mingkui Tan*, Jing Liu*, Lingqiao Liu, Ian Reid, Chunhua Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu*, Bohan Zhuang*, Zhuangwei Zhuang*, Yong Guo, Junzhou Huang, Jinhui Zhu, Mingkui Tan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
LBS: Loss-aware Bit Sharing for Automatic Model Compression
Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan
[arxiv]
AQD: Towards Accurate Quantized Object Detection
Peng Chen, Jing Liu*, Bohan Zhuang, Mingkui Tan, Chunhua Shen
Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2021
Deep Transferring Quantization
Zheng Xie*, Zhiquan Wen*, Jing Liu*, Zhiqiang Liu, Xixian Wu, Mingkui Tan
European Conference on Computer Vision (ECCV), 2020
Generative Low-bitwidth Data Free Quantization
Shoukai Xu*, Haokun Li*, Bohan Zhuang*, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
European Conference on Computer Vision (ECCV), 2020
Discrimination-aware Channel Pruning for Deep Neural Networks
Zhuangwei Zhuang*, Mingkui Tan*, Bohan Zhuang*, Jing Liu*, Yong Guo, Qingyao Wu, Junzhou Huang, Jinhui Zhu
Neural Information Processing Systems (NeurIPS), 2018
Professional Services
Conferences: NeurIPS (2022), ECCV (2022), ICML (2022), CVPR (2022), NeurIPS (2021), ICLR (2022), MICCAI (2019)
Journals: IJCV (2022), TPAMI (2022), TPAMI (2021)
Awards and Scholarships
NeurIPS 2021 Outstanding Reviewer
Faculty of Information Technology Research Scholarship