I am a final-year 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 efficient AI.
Here is my CV and google scholar.
Github: https://github.com/liujingcs.
Email: liujing_95@outlook.com.
2024.01: Two papers are accepted by ICLR!
2023.09: One paper is accepted by NeurIPS!
2023.07: One paper is accepted by ICCV!
2023.05: One paper is accepted by TPAMI!
2023.04: One survey paper is accepted by IJCAI 2023!
2023.03: One paper is accepted by CVPR 2023!
2022.11: Ecoformer will be presented as Spotlight!
2022.09: One first-author paper is accepted by NeruIPS 2022!
(* indicates equal contributions)
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
International Conference on Learning Representations (ICLR), 2024
[arxiv]
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
International Conference on Learning Representations (ICLR Spotlight), 2024
[arxiv]
PTQD: Accurate Post-Training Quantization for Diffusion Models
Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
Neural Information Processing Systems (NeurIPS), 2023
[arxiv]
BiViT: Extremely Compressed Binary Vision Transformers
Yefei He, Lou Zhenyu, Luoming Zhang, Jing Liu, Weijia Wu, Bohan Zhuang, Hong Zhou
International Conference on Computer Vision (ICCV), 2023
[arxiv]
Single-path Bit Sharing for Automatic Loss-aware Model Compression
Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, Mingkui Tan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
[arxiv]
A Survey on Efficient Training of Transformers
Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen
International Joint Conference on Artificial Intelligence (IJCAI), 2023
[arxiv]
Dynamic Focus-aware Positional Queries for Semantic Segmentation
Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
EcoFormer: Energy-Saving Attention with Linear Complexity
Jing Liu, Zizheng Pan*, Haoyu He, Jianfei Cai, Bohan Zhuang
Neural Information Processing Systems (NeurIPS Spotlight), 2022
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
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
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, Jing Liu, 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
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
Conferences: CVPR, ICLR, NeurIPS, ECCV, ICM, MICCAI
Journals: IJCV, TPAMI, TPAMI
NeurIPS 2021 Outstanding Reviewer
Faculty of Information Technology Research Scholarship