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Jing Liu 0048
Person information
- affiliation: Monash University Clayton Campus, Faculty of Information Technology, VIC, Australia
- affiliation: South China University of Technology, School of Software Engineering, Guangzhou, China
Other persons with the same name
- Jing Liu — disambiguation page
- Jing Liu 0001
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Jing Liu 0002
- Jing Liu 0003
- Jing Liu 0004
- Jing Liu 0005
- Jing Liu 0006
- Jing Liu 0007
- Jing Liu 0008
- Jing Liu 0009
- Jing Liu 0010 — Nankai University, Nankai-Baidu Joint Laboratory, College of IT, Tianjin, China
- Jing Liu 0011
- Jing Liu 0012
- Jing Liu 0013
- Jing Liu 0014
- Jing Liu 0015
- Jing Liu 0016
- Jing Liu 0017
- Jing Liu 0018
- Jing Liu 0019
- Jing Liu 0020
- Jing Liu 0021
- Jing Liu 0022
- Jing Liu 0023 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (and 1 more)
- Jing Liu 0024 — George Mason University, Fairfax, VA, USA (and 1 more)
- Jing Liu 0025 — Southern Yangtze University, School of Information Technology, Wuxi, China
- Jing Liu 0026 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada (and 1 more)
- Jing Liu 0027 — University of Alabama, Department of Computer Science, Tuscaloosa, AL, USA
- Jing Liu 0028
- Jing Liu 0029
- Jing Liu 0030 — Capital Normal University, Department of Educational Technology, Beijing, China
- Jing Liu 0031 — East China Normal University, Multimedia and Computer Vision Lab, Shanghai, China
- Jing Liu 0032
- Jing Liu 0033 — Wuhan University, School of Computer / State Key Laboratory of Software Engineering, China
- Jing Liu 0034 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Jing Liu 0035
- Jing Liu 0036
- Jing Liu 0037
- Jing Liu 0038
- Jing Liu 0039
- Jing Liu 0040
- Jing Liu 0041
- Jing Liu 0042
- Jing Liu 0043
- Jing Liu 0044
- Jing Liu 0045
- Jing Liu 0046
- Jing Liu 0047
- Jing Liu-Zeng
- Jing Liu 0050
- Jing Liu 0051
- Jing Liu 0052 — Uppsala University, Sweden
- Jing Liu 0053 — University of California, Santa Cruz, USA
- Jing Liu 0054
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2020 – today
- 2024
- [j5]Haoyu He
Pruning Self-Attentions Into Convolutional Layers in Single Path. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3910-3922 (2024) - [c15]Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu:
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CVPR 2024: 7362-7371 - [c14]Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang:
Stitched ViTs are Flexible Vision Backbones. ECCV (41) 2024: 258-274 - [c13]Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. ICLR 2024 - [i23]Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang:
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. CoRR abs/2405.14256 (2024) - [i22]Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang:
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models. CoRR abs/2405.14366 (2024) - [i21]Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao:
Temporal Feature Matters: A Framework for Diffusion Model Quantization. CoRR abs/2407.19547 (2024) - 2023
- [j4]Jing Liu
Single-Path Bit Sharing for Automatic Loss-Aware Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12459-12473 (2023) - [j3]Shoukai Xu
Generative Data Free Model Quantization With Knowledge Matching for Classification. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7296-7309 (2023) - [c12]Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu
Dynamic Focus-aware Positional Queries for Semantic Segmentation. CVPR 2023: 11299-11308 - [c11]Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu
BiViT: Extremely Compressed Binary Vision Transformers. ICCV 2023: 5628-5640 - [c10]Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen:
A Survey on Efficient Training of Transformers. IJCAI 2023: 6823-6831 - [c9]Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
PTQD: Accurate Post-Training Quantization for Diffusion Models. NeurIPS 2023 - [i20]Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen:
A Survey on Efficient Training of Transformers. CoRR abs/2302.01107 (2023) - [i19]Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
PTQD: Accurate Post-Training Quantization for Diffusion Models. CoRR abs/2305.10657 (2023) - [i18]Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang:
Stitched ViTs are Flexible Vision Backbones. CoRR abs/2307.00154 (2023) - [i17]Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. CoRR abs/2310.03270 (2023) - [i16]Yushi Huang, Ruihao Gong
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CoRR abs/2311.16503 (2023) - 2022
- [j2]Jing Liu
Discrimination-Aware Network Pruning for Deep Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4035-4051 (2022) - [j1]Bohan Zhuang
Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6140-6152 (2022) - [c8]Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai:
Less Is More: Pay Less Attention in Vision Transformers. AAAI 2022: 2035-2043 - [c7]Haokun Li, Jing Liu
Downscaling and Overflow-aware Model Compression for Efficient Vision Processors. ICDCS Workshops 2022: 145-150 - [c6]Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang:
EcoFormer: Energy-Saving Attention with Linear Complexity. NeurIPS 2022 - [i15]Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Dynamic Focus-aware Positional Queries for Semantic Segmentation. CoRR abs/2204.01244 (2022) - [i14]Jing Liu, Jianfei Cai, Bohan Zhuang:
FocusFormer: Focusing on What We Need via Architecture Sampler. CoRR abs/2208.10861 (2022) - [i13]Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang:
EcoFormer: Energy-Saving Attention with Linear Complexity. CoRR abs/2209.09004 (2022) - 2021
- [c5]Peng Chen, Jing Liu
AQD: Towards Accurate Quantized Object Detection. CVPR 2021: 104-113 - [c4]Zizheng Pan, Bohan Zhuang, Jing Liu
Scalable Vision Transformers with Hierarchical Pooling. ICCV 2021: 367-376 - [i12]Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan:
ABS: Automatic Bit Sharing for Model Compression. CoRR abs/2101.04935 (2021) - [i11]Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai:
Scalable Visual Transformers with Hierarchical Pooling. CoRR abs/2103.10619 (2021) - [i10]Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai:
Less is More: Pay Less Attention in Vision Transformers. CoRR abs/2105.14217 (2021) - [i9]Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai:
Elastic Architecture Search for Diverse Tasks with Different Resources. CoRR abs/2108.01224 (2021) - [i8]Zizheng Pan, Peng Chen, Haoyu He, Jing Liu, Jianfei Cai, Bohan Zhuang:
Mesa: A Memory-saving Training Framework for Transformers. CoRR abs/2111.11124 (2021) - [i7]Haoyu He, Jing Liu, Zizheng Pan, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Pruning Self-attentions into Convolutional Layers in Single Path. CoRR abs/2111.11802 (2021) - [i6]Jing Liu, Jianfei Cai, Bohan Zhuang:
Sharpness-aware Quantization for Deep Neural Networks. CoRR abs/2111.12273 (2021) - 2020
- [c3]Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao
Generative Low-Bitwidth Data Free Quantization. ECCV (12) 2020: 1-17 - [c2]Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan:
Deep Transferring Quantization. ECCV (8) 2020: 625-642 - [i5]Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan:
Discrimination-aware Network Pruning for Deep Model Compression. CoRR abs/2001.01050 (2020) - [i4]Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan:
Generative Low-bitwidth Data Free Quantization. CoRR abs/2003.03603 (2020) - [i3]Jing Liu, Bohan Zhuang, Peng Chen, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. CoRR abs/2007.06919 (2020)
2010 – 2019
- 2019
- [i2]Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. CoRR abs/1908.04680 (2019) - 2018
- [c1]Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. NeurIPS 2018: 883-894 - [i1]Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. CoRR abs/1810.11809 (2018)
Coauthor Index
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