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ORCIDLinfeng Zhang 0001
Person information
- affiliation: Shanghai Jiao Tong University, China
Other persons with the same name
- Linfeng Zhang — disambiguation page
- Linfeng Zhang 0002 — DP Technology, Beijing, China (and 2 more)
- Linfeng Zhang 0003 — Iowa State University, Ames, IA, USA
- Linfeng Zhang 0004 — Ohio State University, OH, USA
- Linfeng Zhang 0005 — Zhejiang University of Water Resources and Electric Power, China
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2020 – today
- 2025
[i27]Evelyn Zhang, Bang Xiao, Jiayi Tang, Qianli Ma, Chang Zou, Xuefei Ning, Xuming Hu, Linfeng Zhang:
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free. CoRR abs/2501.00375 (2025)- [i26]Xuyang Liu, Ziming Wang, Yuhang Han, Yingyao Wang, Jiale Yuan, Jun Song, Bo Zheng, Linfeng Zhang, Siteng Huang, Honggang Chen:
Compression with Global Guidance: Towards Training-free High-Resolution MLLMs Acceleration. CoRR abs/2501.05179 (2025) - 2024
- [j6]Zimo Liao, Zhicheng Luo, Qianyi Huang, Linfeng Zhang, Fan Wu, Qian Zhang, Guihai Chen:
Gesture Recognition Using Visible Light on Mobile Devices. IEEE/ACM Trans. Netw. 32(4): 2920-2935 (2024) - [c20]Zhihang Yuan, Hanling Zhang, Lu Pu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang:
DiTFastAttn: Attention Compression for Diffusion Transformer Models. NeurIPS 2024 - [i25]Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang:
DiTFastAttn: Attention Compression for Diffusion Transformer Models. CoRR abs/2406.08552 (2024) - [i24]Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang:
DRUPI: Dataset Reduction Using Privileged Information. CoRR abs/2410.01611 (2024) - [i23]Linfeng Zhang, Kaisheng Ma:
Accelerating Diffusion Models with One-to-Many Knowledge Distillation. CoRR abs/2410.04191 (2024) - [i22]Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang:
Accelerating Diffusion Transformers with Token-wise Feature Caching. CoRR abs/2410.05317 (2024) - [i21]Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang:
Decouple-Then-Merge: Towards Better Training for Diffusion Models. CoRR abs/2410.06664 (2024) - [i20]Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao:
REEF: Representation Encoding Fingerprints for Large Language Models. CoRR abs/2410.14273 (2024) - [i19]Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang:
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models. CoRR abs/2410.21815 (2024) - [i18]Ting Liu, Liangtao Shi, Richang Hong, Yue Hu, Quanjun Yin, Linfeng Zhang:
Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model. CoRR abs/2411.10803 (2024) - [i17]Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Linfeng Zhang, Lijie Wen, Xuming Hu:
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models. CoRR abs/2411.15268 (2024) - [i16]Xu Zheng, Haiwei Xue, Jialei Chen, Yibo Yan, Lutao Jiang, Yuanhuiyi Lyu, Kailun Yang, Linfeng Zhang, Xuming Hu:
Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation. CoRR abs/2411.17141 (2024) - [i15]Chang Zou, Evelyn Zhang, Runlin Guo, Haohang Xu, Conghui He, Xuming Hu, Linfeng Zhang:
Accelerating Diffusion Transformers with Dual Feature Caching. CoRR abs/2412.18911 (2024) - 2023
- [j5]Linfeng Zhang
, Kaisheng Ma:
Structured Knowledge Distillation for Accurate and Efficient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15706-15724 (2023) - [j4]Linfeng Zhang, Kaisheng Ma:
A Good Data Augmentation Policy is not All You Need: A Multi-Task Learning Perspective. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2190-2201 (2023) - [c19]Linfeng Zhang, Yukang Shi, Ke Wang, Zhipeng Zhang, Hung-Shuo Tai, Yuan He, Kaisheng Ma:
Structured Knowledge Distillation Towards Efficient Multi-View 3D Object Detection. BMVC 2023: 339-344 - [c18]Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma:
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. BMVC 2023: 345-346 - [c17]Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma:
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CVPR 2023: 21791-21801 - [c16]Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Karsheng Ma:
CORSD: Class-Oriented Relational Self Distillation. ICASSP 2023: 1-5 - [c15]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV 2023: 17682-17692 - [c14]Linfeng Zhang, Kaisheng Ma:
Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. ICCV 2023: 23390-23402 - [c13]Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma:
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? ICLR 2023 - [c12]Muzhou Yu, Linfeng Zhang, Kaisheng Ma:
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. IJCNN 2023: 1-10 - [i14]Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Kaisheng Ma:
CORSD: Class-Oriented Relational Self Distillation. CoRR abs/2305.00918 (2023) - [i13]Muzhou Yu, Linfeng Zhang, Kaisheng Ma:
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. CoRR abs/2305.13232 (2023) - [i12]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR abs/2307.08209 (2023) - 2022
- [j3]Linfeng Zhang, Chenglong Bao, Kaisheng Ma:
Self-Distillation: Towards Efficient and Compact Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4388-4403 (2022) - [j2]Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang:
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33(9): 4930-4944 (2022) - [c11]Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma:
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CVPR 2022: 12454-12464 - [c10]Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma:
Contrastive Deep Supervision. ECCV (26) 2022: 1-19 - [c9]Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma:
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. ICML 2022: 5343-5359 - [i11]Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma:
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CoRR abs/2203.06321 (2022) - [i10]Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma:
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CoRR abs/2205.11098 (2022) - [i9]Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma:
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. CoRR abs/2205.12451 (2022) - [i8]Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma:
Contrastive Deep Supervision. CoRR abs/2207.05306 (2022) - [i7]Linfeng Zhang, Yukang Shi, Hung-Shuo Tai, Zhipeng Zhang, Yuan He, Ke Wang, Kaisheng Ma:
Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection. CoRR abs/2211.08398 (2022) - [i6]Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma:
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? CoRR abs/2212.08320 (2022) - 2021
- [c8]Linfeng Zhang, Kaisheng Ma:
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. ICLR 2021 - [c7]Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma:
Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. IJCNN 2021: 1-8 - [c6]Zimo Liao, Zhicheng Luo, Qianyi Huang, Linfeng Zhang, Fan Wu, Qian Zhang, Yi Wang:
SMART: screen-based gesture recognition on commodity mobile devices. MobiCom 2021: 283-295 - [c5]Zimo Liao, Zhicheng Luo, Qianyi Huang, Linfeng Zhang, Fan Wu, Qian Zhang, Yi Wang, Guihai Chen:
SMART: screen-based gesture recognition on commodity mobile devices. MobiCom 2021: 871-873 - [i5]Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma:
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. CoRR abs/2112.15139 (2021) - 2020
- [j1]Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang:
Fine-grained emotion classification of Chinese microblogs based on graph convolution networks. World Wide Web 23(5): 2771-2787 (2020) - [c4]Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma:
Auxiliary Training: Towards Accurate and Robust Models. CVPR 2020: 369-378 - [c3]Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao:
Task-Oriented Feature Distillation. NeurIPS 2020
2010 – 2019
- 2019
- [c2]Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. ICCV 2019: 3712-3721 - [c1]Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. NeurIPS 2019: 4029-4038 - [i4]Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. CoRR abs/1905.08094 (2019) - [i3]Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR abs/1906.03951 (2019) - [i2]Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma:
Non-structured DNN Weight Pruning Considered Harmful. CoRR abs/1907.02124 (2019) - [i1]Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang:
Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks. CoRR abs/1912.02545 (2019)
Coauthor Index
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