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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
![[0000-0002-8470-5846]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8470-5846")
— 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
[j8]Yueyue Liu, Linfeng Zhang, Xinyu Liu, Qigao Fan:
Safety-Enhanced Navigation Planning for Magnetic Microrobots. IEEE Trans Autom. Sci. Eng. 22: 10586-10595 (2025)- [c36]Evelyn Zhang, Jiayi Tang, Xuefei Ning, Linfeng Zhang:
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning. AAAI 2025: 9878-9886 - [c35]Yonghua Hei, Yibo Yan, Shuliang Liu, Huiyu Zhou, Linfeng Zhang, Xuming Hu:
Unlocking Speech Instruction Data Potential with Query Rewriting. ACL (Findings) 2025: 10239-10260 - [c34]Zichen Wen, Yifeng Gao, Weijia Li, Conghui He, Linfeng Zhang:
Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem? ACL (Findings) 2025: 15537-15549 - [c33]Qianli Ma, Dongrui Liu, Qian Chen, Linfeng Zhang, Jing Shao:
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint. ACL (1) 2025: 21749-21767 - [c32]Shaobo Wang, Xiangqi Jin, Ziming Wang, Jize Wang, Jiajun Zhang, Kaixin Li, Zichen Wen, Zhong Li, Conghui He, Xuming Hu, Linfeng Zhang:
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. ACL (1) 2025: 23287-23305 - [c31]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. CVPR 2025: 4209-4221 - [c30]Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang:
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning. CVPR 2025: 23281-23291 - [c29]Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang:
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective. CVPR 2025: 25570-25580 - [c28]Lei Ke, Haohang Xu, Xuefei Ning, Yu Li, Jiajun Li, Haoling Li, Yuxuan Lin, Dongsheng Jiang, Yujiu Yang, Linfeng Zhang:
ProReflow: Progressive Reflow with Decomposed Velocity. CVPR 2025: 28029-28038 - [c27]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 Transformers. ICLR 2025 - [c26]Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao:
REEF: Representation Encoding Fingerprints for Large Language Models. ICLR 2025 - [c25]Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang:
Accelerating Diffusion Transformers with Token-wise Feature Caching. ICLR 2025 - [i65]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) - [i64]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) - [i63]Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu:
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning. CoRR abs/2502.00848 (2025) - [i62]Zichen Wen, Yifeng Gao, Shaobo Wang, Junyuan Zhang, Qintong Zhang, Weijia Li, Conghui He, Linfeng Zhang:
Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More. CoRR abs/2502.11494 (2025) - [i61]Zichen Wen, Yifeng Gao, Weijia Li, Conghui He, Linfeng Zhang:
Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem? CoRR abs/2502.11501 (2025) - [i60]Qianli Ma, Dongrui Liu, Chen Qian, Linfeng Zhang, Jing Shao:
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint. CoRR abs/2502.16770 (2025) - [i59]Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang:
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective. CoRR abs/2502.20653 (2025) - [i58]Lei Ke, Haohang Xu, Xuefei Ning, Yu Li, Jiajun Li, Haoling Li, Yuxuan Lin, Dongsheng Jiang, Yujiu Yang, Linfeng Zhang:
ProReflow: Progressive Reflow with Decomposed Velocity. CoRR abs/2503.04824 (2025) - [i57]Ding Zhong, Xu Zheng, Chenfei Liao, Yuanhuiyi Lyu, Jialei Chen, Shengyang Wu, Linfeng Zhang, Xuming Hu:
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation. CoRR abs/2503.07098 (2025) - [i56]Feihong Yan, Qingyan Wei, Jiayi Tang, Jiajun Li, Yulin Wang, Xuming Hu, Huiqi Li, Linfeng Zhang:
LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching. CoRR abs/2503.12450 (2025) - [i55]Hengrui Kang, Siwei Wen, Zichen Wen, Junyan Ye, Weijia Li, Peilin Feng, Baichuan Zhou, Bin Wang, Dahua Lin, Linfeng Zhang, Conghui He:
LEGION: Learning to Ground and Explain for Synthetic Image Detection. CoRR abs/2503.15264 (2025) - [i54]Shaobo Wang, Xiangqi Jin, Ziming Wang, Jize Wang, Jiajun Zhang, Kaixin Li, Zichen Wen, Zhong Li, Conghui He, Xuming Hu, Linfeng Zhang:
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. CoRR abs/2505.12212 (2025) - [i53]Xu Zheng, Chenfei Liao, Yuqian Fu, Kaiyu Lei, Yuanhuiyi Lyu, Lutao Jiang, Bin Ren, Jialei Chen, Jiawen Wang, Chengxin Li, Linfeng Zhang, Danda Pani Paudel, Xuanjing Huang, Yu-Gang Jiang, Nicu Sebe, Dacheng Tao, Luc Van Gool, Xuming Hu:
MLLMs are Deeply Affected by Modality Bias. CoRR abs/2505.18657 (2025) - [i52]Xuyang Liu, Zichen Wen, Shaobo Wang, Junjie Chen, Zhishan Tao, Yubo Wang, Xiangqi Jin, Chang Zou, Yiyu Wang, Chenfei Liao, Xu Zheng, Honggang Chen, Weijia Li, Xuming Hu, Conghui He, Linfeng Zhang:
Shifting AI Efficiency From Model-Centric to Data-Centric Compression. CoRR abs/2505.19147 (2025) - [i51]Zhiyuan Liu, Yicun Yang, Yaojie Zhang, Junjie Chen, Chang Zou, Qingyuan Wei, Shaobo Wang, Linfeng Zhang:
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching. CoRR abs/2506.06295 (2025) - [i50]Weiya Li, Junjie Chen, Bei Li, Boyang Liu, Zichen Wen, Nuanqiao Shan, Xiaoqian Liu, Anping Liu, Huajie Liu, Hu Song, Linfeng Zhang:
TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration. CoRR abs/2506.08403 (2025) - [i49]Yantai Yang, Yuhao Wang, Zichen Wen, Luo Zhongwei, Chang Zou, Zhipeng Zhang, Chuan Wen, Linfeng Zhang:
EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models. CoRR abs/2506.10100 (2025) - [i48]Zhiyu Li, Shichao Song, Chenyang Xi, Hanyu Wang, Chen Tang, Simin Niu, Ding Chen, Jiawei Yang, Chunyu Li, Qingchen Yu, Jihao Zhao, Yezhaohui Wang, Peng Liu, Zehao Lin, Pengyuan Wang, Jiahao Huo, Tianyi Chen, Kai Chen, Kehang Li, Zhen Tao, Junpeng Ren, Huayi Lai, Hao Wu, Bo Tang, Zhenren Wang, Zhaoxin Fan, Ningyu Zhang, Linfeng Zhang, Junchi Yan, Mingchuan Yang, Tong Xu, Wei Xu, Huajun Chen, Haofeng Wang, Hongkang Yang, Wentao Zhang, Zhi-Qin John Xu, Siheng Chen, Feiyu Xiong:
MemOS: A Memory OS for AI System. CoRR abs/2507.03724 (2025) - [i47]Yonghua Hei, Yibo Yan, Shuliang Liu, Huiyu Zhou, Linfeng Zhang, Xuming Hu:
Unlocking Speech Instruction Data Potential with Query Rewriting. CoRR abs/2507.08603 (2025) - [i46]Ning Liao, Xiaoxing Wang, Zehao Lin, Weiyang Guo, Feng Hong, Shixiang Song, Geng Yu, Zihua Zhao, Sitao Xie, Longxuan Wei, Xiangqi Jin, Xiaohan Qin, Jiale Ma, Kai Chen, Jiangchao Yao, Zhouhan Lin, Junchi Yan, Zhiyu Li, Feiyu Xiong, Yanfeng Wang, Linfeng Zhang:
Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. CoRR abs/2507.18671 (2025) - [i45]Xiangqi Jin, Yuxuan Wang, Yifeng Gao, Zichen Wen, Biqing Qi, Dongrui Liu, Linfeng Zhang:
Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs. CoRR abs/2508.10736 (2025) - [i44]Xu Zheng, Chenfei Liao, Ziqiao Weng, Kaiyu Lei, Zihao Dongfang, Haocong He, Yuanhuiyi Lyu, Lutao Jiang, Lu Qi, Li Chen, Danda Pani Paudel, Kailun Yang, Linfeng Zhang, Luc Van Gool, Xuming Hu:
PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era. CoRR abs/2509.12989 (2025) - [i43]Yuanhuiyi Lyu, Chi Kit Wong, Chenfei Liao, Lutao Jiang, Xu Zheng, Zexin Lu, Linfeng Zhang, Xuming Hu:
Understanding-in-Generation: Reinforcing Generative Capability of Unified Model via Infusing Understanding into Generation. CoRR abs/2509.18639 (2025) - [i42]Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang, Linke Ouyang, Zhiyuan Zhao, Tao Chu, Tianyao He, Fan Wu, Qintong Zhang, Zhenjiang Jin, Guang Liang, Rui Zhang, Wenzheng Zhang, Yuan Qu, Zhifei Ren, Yuefeng Sun, Yuanhong Zheng, Dongsheng Ma, Zirui Tang, Boyu Niu, Ziyang Miao, Hejun Dong, Siyi Qian, Junyuan Zhang, Jingzhou Chen, Fangdong Wang, Xiaomeng Zhao, Liqun Wei, Wei Li, Shasha Wang, Ruiliang Xu, Yuanyuan Cao, Lu Chen, Qianqian Wu, Huaiyu Gu, Lindong Lu, Keming Wang, Dechen Lin, Guanlin Shen, Xuanhe Zhou, Linfeng Zhang, Yuhang Zang, Xiaoyi Dong, Jiaqi Wang, Bo Zhang, Lei Bai, Pei Chu, Weijia Li, Jiang Wu, Lijun Wu, Zhenxiang Li, Guangyu Wang, Zhongying Tu, Chao Xu, Kai Chen, Yu Qiao, Bowen Zhou, Dahua Lin, Wentao Zhang, Conghui He:
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing. CoRR abs/2509.22186 (2025) - [i41]Shaobo Wang, Jiaming Wang, Jiajun Zhang, Cong Wang, Yue Min, Zichen Wen, Fei Huang, Huiqiang Jiang, Junyang Lin, Dayiheng Liu, Linfeng Zhang:
Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning. CoRR abs/2509.23873 (2025) - [i40]Zichen Wen, Shaobo Wang, Yufa Zhou, Junyuan Zhang, Qintong Zhang, Yifeng Gao, Zhaorun Chen, Bin Wang, Weijia Li, Conghui He, Linfeng Zhang:
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation. CoRR abs/2510.00515 (2025) - [i39]Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu:
Don't Just Chase "Highlighted Tokens" in MLLMs: Revisiting Visual Holistic Context Retention. CoRR abs/2510.02912 (2025) - [i38]Yifeng Gao, Ziang Ji, Yuxuan Wang, Biqing Qi, Hanlin Xu, Linfeng Zhang:
Self Speculative Decoding for Diffusion Large Language Models. CoRR abs/2510.04147 (2025) - [i37]Shuang Cheng, Yihan Bian, Dawei Liu, Linfeng Zhang, Qian Yao, Zhongbo Tian, Wenhai Wang, Qipeng Guo, Kai Chen, Biqing Qi, Bowen Zhou:
SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation. CoRR abs/2510.06303 (2025) - [i36]Chenfei Liao, Wensong Wang, Zichen Wen, Xu Zheng, Yiyu Wang, Haocong He, Yuanhuiyi Lyu, Lutao Jiang, Xin Zou, Yuqian Fu, Bin Ren, Linfeng Zhang, Xuming Hu:
Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods. CoRR abs/2510.07143 (2025) - [i35]Jianuo Huang, Yaojie Zhang, Yicun Yang, Benhao Huang, Biqing Qi, Dongrui Liu, Linfeng Zhang:
Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM Inference. CoRR abs/2510.09309 (2025) - [i34]Jiaxi Zhuang, Yaorui Shi, Jue Hou, Yunong He, Mingwei Ye, Mingjun Xu, Yuming Su, Linfeng Zhang, Ying Qian, Linfeng Zhang, Guolin Ke, Hengxing Cai:
Reasoning-Enhanced Large Language Models for Molecular Property Prediction. CoRR abs/2510.10248 (2025) - [i33]Shaobo Wang, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang:
Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x Less Data? CoRR abs/2510.10457 (2025) - [i32]Long Cui, Weiyun Wang, Jie Shao, Zichen Wen, Gen Luo, Linfeng Zhang, Yanting Zhang, Yu Qiao, Wenhai Wang:
ViCO: A Training Strategy towards Semantic Aware Dynamic High-Resolution. CoRR abs/2510.12793 (2025) - [i31]Zichen Wen, Yiyu Wang, Chenfei Liao, Boxue Yang, Junxian Li, Weifeng Liu, Haocong He, Bolong Feng, Xuyang Liu, Yuanhuiyi Lyu, Xu Zheng, Xuming Hu, Linfeng Zhang:
AI for Service: Proactive Assistance with AI Glasses. CoRR abs/2510.14359 (2025) - [i30]Feihong Yan, Peiru Wang, Yao Zhu, Kaiyu Pang, Qingyan Wei, Huiqi Li, Linfeng Zhang:
Generation then Reconstruction: Accelerating Masked Autoregressive Models via Two-Stage Sampling. CoRR abs/2510.17171 (2025) - [i29]Shaobo Wang, Yongliang Miao, Yuancheng Liu, Qianli Ma, Ning Liao, Linfeng Zhang:
CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMs. CoRR abs/2510.18470 (2025) - [i28]Yicun Yang, Cong Wang, Shaobo Wang, Zichen Wen, Biqing Qi, Hanlin Xu, Linfeng Zhang:
Diffusion LLM with Native Variable Generation Lengths: Let [EOS] Lead the Way. CoRR abs/2510.24605 (2025) - [i27]Xu Zheng, Zihao Dongfang, Lutao Jiang, Boyuan Zheng, Yulong Guo, Zhenquan Zhang, Giuliano Albanese, Runyi Yang, Mengjiao Ma, Zixin Zhang, Chenfei Liao, Dingcheng Zhen, Yuanhuiyi Lyu, Yuqian Fu, Bin Ren, Linfeng Zhang, Danda Pani Paudel, Nicu Sebe, Luc Van Gool, Xuming Hu:
Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks. CoRR abs/2510.25760 (2025) - 2024
- [j7]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) - [c24]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 - [i26]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) - [i25]Shaobo Wang, Yantai Yang, Qilong Wang, Kaixin Li, Linfeng Zhang, Junchi Yan:
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation. CoRR abs/2408.12483 (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
- [j6]Linfeng Zhang, Kaisheng Ma:
Structured Knowledge Distillation for Accurate and Efficient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15706-15724 (2023) - [j5]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) - [c23]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 - [c22]Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma:
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. BMVC 2023: 345-346 - [c21]Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma:
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CVPR 2023: 21791-21801 - [c20]Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Karsheng Ma:
CORSD: Class-Oriented Relational Self Distillation. ICASSP 2023: 1-5 - [c19]Fei Li, Linfeng Zhang, Zikun Liu, Juan Lei, Zhenbo Li:
Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution. ICCV 2023: 12768-12779 - [c18]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 - [c17]Linfeng Zhang, Kaisheng Ma:
Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. ICCV 2023: 23390-23402 - [c16]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 - [c15]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
- [j4]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) - [j3]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) - [c14]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 - [c13]Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma:
Contrastive Deep Supervision. ECCV (26) 2022: 1-19 - [c12]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
- [c11]Linfeng Zhang, Kaisheng Ma:
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. ICLR 2021 - [c10]Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma:
Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. IJCNN 2021: 1-8 - [c9]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 - [c8]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
- [j2]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) - [c7]Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma:
Auxiliary Training: Towards Accurate and Robust Models. CVPR 2020: 369-378 - [c6]Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao:
Task-Oriented Feature Distillation. NeurIPS 2020
2010 – 2019
- 2019
- [j1]Jiachen Yang, Lin Liu, Linfeng Zhang, Gen Li, Zhonghao Sun, Houbing Song:
Prediction of Marine Pycnocline Based on Kernel Support Vector Machine and Convex Optimization Technology. Sensors 19(7): 1562 (2019) - [c5]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 - [c4]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) - 2017
- [c3]Linfeng Zhang, Xingguo Xiong:
Optimization of the Power Flow in a Smart Home. REV 2017: 721-730
2000 – 2009
- 2008
- [c2]Linqiang Chen, Jianping Han, Linfeng Zhang:
Video Segmentation Algorithm in Virtual Advertisement System. CW 2008: 735-740 - 2007
- [c1]Linfeng Zhang, Erik McCullen, Lajos Rimai, K. Y. Simon Ng, Ratna Naik, Gregory Auner:
The sensing mechanism and the response simulation of the MIS hydrogen sensor. SCSS (1) 2007: 268-272
Coauthor Index
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