Jing Liu

According to our database, Jing Liu authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pruning Self-Attentions Into Convolutional Layers in Single Path.

Haoyu He, Jianfei Cai, Jing Liu, Zizheng Pan, Jing Zhang, Dacheng Tao, Bohan Zhuang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Temporal Feature Matters: A Framework for Diffusion Model Quantization.

Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao

CoRR, 2024

MiniCache: KV Cache Compression in Depth Dimension for Large Language Models.

Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang

CoRR, 2024

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification.

Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang

CoRR, 2024

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models.

Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Stitched ViTs are Flexible Vision Backbones.

Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang

Proceedings of the Computer Vision - ECCV 2024, 2024

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models.

Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Generative Data Free Model Quantization With Knowledge Matching for Classification.

Shoukai Xu, Shuhai Zhang, Jing Liu, Bohan Zhuang, Yaowei Wang, Mingkui Tan

IEEE Trans. Circuits Syst. Video Technol., December, 2023

Single-Path Bit Sharing for Automatic Loss-Aware Model Compression.

Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, Mingkui Tan

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

PTQD: Accurate Post-Training Quantization for Diffusion Models.

Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Survey on Efficient Training of Transformers.

Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

BiViT: Extremely Compressed Binary Vision Transformers.

Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Focus-aware Positional Queries for Semantic Segmentation.

Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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 Trans. Pattern Anal. Mach. Intell., 2022

Discrimination-Aware Network Pruning for Deep Model Compression.

Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan

IEEE Trans. Pattern Anal. Mach. Intell., 2022

FocusFormer: Focusing on What We Need via Architecture Sampler.

Jing Liu, Jianfei Cai, Bohan Zhuang

CoRR, 2022

EcoFormer: Energy-Saving Attention with Linear Complexity.

Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Downscaling and Overflow-aware Model Compression for Efficient Vision Processors.

Haokun Li, Jing Liu, Liancheng Jia, Yun Liang, Yaowei Wang, Mingkui Tan

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Less Is More: Pay Less Attention in Vision Transformers.

Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Sharpness-aware Quantization for Deep Neural Networks.

Jing Liu, Jianfei Cai, Bohan Zhuang

CoRR, 2021

Mesa: A Memory-saving Training Framework for Transformers.

Zizheng Pan, Peng Chen, Haoyu He, Jing Liu, Jianfei Cai, Bohan Zhuang

CoRR, 2021

Elastic Architecture Search for Diverse Tasks with Different Resources.

Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai

CoRR, 2021

Scalable Visual Transformers with Hierarchical Pooling.

Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai

CoRR, 2021

ABS: Automatic Bit Sharing for Model Compression.

Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan

CoRR, 2021

Scalable Vision Transformers with Hierarchical Pooling.

Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AQD: Towards Accurate Quantized Object Detection.

Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Generative Low-Bitwidth Data Free Quantization.

Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Transferring Quantization.

Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

Discrimination-aware Channel Pruning for Deep Neural Networks.

Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018