The sensing mechanism and the response simulation of the MIS hydrogen sensor. - Linfeng Zhang 001; Erik McCullen; Lajos Rimai; K. Y. Simon Ng; Ratna Naik; Gregory Auner (SCSS (1), 2007)

Video Segmentation Algorithm in Virtual Advertisement System. - Linqiang Chen; Jianping Han; Linfeng Zhang 001 (CW, 2008)

Optimization of the Power Flow in a Smart Home. - Linfeng Zhang 001; Xingguo Xiong (REV, 2017)

Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. - Linfeng Zhang 001; Jiebo Song; Anni Gao; Jingwei Chen; Chenglong Bao; Kaisheng Ma (ICCV, 2019)

SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. - Linfeng Zhang 001; Zhanhong Tan; Jiebo Song; Jingwei Chen; Chenglong Bao; Kaisheng Ma (NeurIPS, 2019)

Non-structured DNN Weight Pruning Considered Harmful. - Yanzhi Wang; Shaokai Ye; Zhezhi He; Xiaolong Ma; Linfeng Zhang 001; Sheng Lin 001; Geng Yuan; Sia Huat Tan; Zhengang Li; Deliang Fan; Xuehai Qian; Xue Lin 001; et al. (CoRR, 2019)

Prediction of Marine Pycnocline Based on Kernel Support Vector Machine and Convex Optimization Technology. - Jiachen Yang; Lin Liu; Linfeng Zhang 001; Gen Li; Zhonghao Sun; Houbing Song (Sensors, 2019)

Auxiliary Training: Towards Accurate and Robust Models. - Linfeng Zhang 001; Muzhou Yu; Tong Chen; Zuoqiang Shi; Chenglong Bao; Kaisheng Ma (CVPR, 2020)

Task-Oriented Feature Distillation. - Linfeng Zhang 001; Yukang Shi; Zuoqiang Shi; Kaisheng Ma; Chenglong Bao (NeurIPS, 2020)

Fine-grained emotion classification of Chinese microblogs based on graph convolution networks. - Yuni Lai; Linfeng Zhang 001; Donghong Han; Rui Zhou 001; Guoren Wang (World Wide Web, 2020)

Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. - Linfeng Zhang 001; Kaisheng Ma (ICLR, 2021)

Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. - Linfeng Zhang 001; Xiaoman Zhang; Chenglong Bao; Kaisheng Ma (IJCNN, 2021)

SMART: screen-based gesture recognition on commodity mobile devices. - Zimo Liao; Zhicheng Luo; Qianyi Huang; Linfeng Zhang 001; Fan Wu 006; Qian Zhang 001; Yi Wang 004; Guihai Chen (MobiCom, 2021)

SMART: screen-based gesture recognition on commodity mobile devices. - Zimo Liao; Zhicheng Luo; Qianyi Huang; Linfeng Zhang 001; Fan Wu 006; Qian Zhang 001; Yi Wang 004 (MobiCom, 2021)

Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. - Linfeng Zhang 001; Xin Chen 071; Xiaobing Tu; Pengfei Wan 001; Ning Xu; Kaisheng Ma (CVPR, 2022)

Contrastive Deep Supervision. - Linfeng Zhang 001; Xin Chen 071; Junbo Zhang; Runpei Dong; Kaisheng Ma (ECCV (26), 2022)

Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. - Runpei Dong; Zhanhong Tan; Mengdi Wu; Linfeng Zhang 001; Kaisheng Ma (ICML, 2022)

Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection. - Linfeng Zhang 001; Yukang Shi; Hung-Shuo Tai; Zhipeng Zhang; Yuan He; Ke Wang; Kaisheng Ma (CoRR, 2022)

Self-Distillation: Towards Efficient and Compact Neural Networks. - Linfeng Zhang 001; Chenglong Bao; Kaisheng Ma (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? - Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Zhezhi He; Linfeng Zhang 001; Geng Yuan; Sia Huat Tan; Zhengang Li; Deliang Fan; Xuehai Qian; Xue Lin 001; Kaisheng Ma; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. - Linfeng Zhang 001; Xin Chen 071; Runpei Dong; Kaisheng Ma (BMVC, 2023)

Structured Knowledge Distillation Towards Efficient Multi-View 3D Object Detection. - Linfeng Zhang 001; Yukang Shi; Ke Wang; Zhipeng Zhang; Hung-Shuo Tai; Yuan He; Kaisheng Ma (BMVC, 2023)

PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. - Linfeng Zhang 001; Runpei Dong; Hung-Shuo Tai; Kaisheng Ma (CVPR, 2023)

CORSD: Class-Oriented Relational Self Distillation. - Muzhou Yu; Sia Huat Tan; Kailu Wu; Runpei Dong; Linfeng Zhang 001; Karsheng Ma (ICASSP, 2023)

Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution. - Fei Li 022; Linfeng Zhang 001; Zikun Liu; Juan Lei; Zhenbo Li (ICCV, 2023)

Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. - Linfeng Zhang 001; Kaisheng Ma (ICCV, 2023)

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. - Tianchen Zhao; Xuefei Ning; Ke Hong; Zhongyuan Qiu; Pu Lu; Yali Zhao; Linfeng Zhang 001; Lipu Zhou; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICCV, 2023)

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? - Runpei Dong; Zekun Qi; Linfeng Zhang 001; Junbo Zhang; Jianjian Sun; Zheng Ge; Li Yi 001; Kaisheng Ma (ICLR, 2023)

Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. - Muzhou Yu; Linfeng Zhang 001; Kaisheng Ma (IJCNN, 2023)

CORSD: Class-Oriented Relational Self Distillation. - Muzhou Yu; Sia Huat Tan; Kailu Wu; Runpei Dong; Linfeng Zhang 001; Kaisheng Ma (CoRR, 2023)

A Good Data Augmentation Policy is not All You Need: A Multi-Task Learning Perspective. - Linfeng Zhang 001; Kaisheng Ma (IEEE Trans. Circuits Syst. Video Technol., 2023)

Structured Knowledge Distillation for Accurate and Efficient Object Detection. - Linfeng Zhang 001; Kaisheng Ma (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DiTFastAttn: Attention Compression for Diffusion Transformer Models. - Zhihang Yuan; Hanling Zhang; Lu Pu; Xuefei Ning; Linfeng Zhang 001; Tianchen Zhao; Shengen Yan; Guohao Dai; Yu Wang 002 (NeurIPS, 2024)

DiTFastAttn: Attention Compression for Diffusion Transformer Models. - Zhihang Yuan; Pu Lu; Hanling Zhang; Xuefei Ning; Linfeng Zhang 001; Tianchen Zhao; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2024)

Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation. - Shaobo Wang 001; Yantai Yang; Qilong Wang; Kaixin Li; Linfeng Zhang 001; Junchi Yan (CoRR, 2024)

DRUPI: Dataset Reduction Using Privileged Information. - Shaobo Wang 001; Yantai Yang; Shuaiyu Zhang; Chenghao Sun; Weiya Li; Xuming Hu; Linfeng Zhang 001 (CoRR, 2024)

Accelerating Diffusion Models with One-to-Many Knowledge Distillation. - Linfeng Zhang 001; Kaisheng Ma (CoRR, 2024)

Decouple-Then-Merge: Towards Better Training for Diffusion Models. - Qianli Ma; Xuefei Ning; Dongrui Liu; Li Niu; Linfeng Zhang 001 (CoRR, 2024)

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models. - Shaobo Wang 001; Hongxuan Tang; Mingyang Wang; Hongrui Zhang; Xuyang Liu; Weiya Li; Xuming Hu; Linfeng Zhang 001 (CoRR, 2024)

Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model. - Ting Liu; Liangtao Shi; Richang Hong; Yue Hu; Quanjun Yin; Linfeng Zhang 001 (CoRR, 2024)

Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation. - Xu Zheng 002; Haiwei Xue; Jialei Chen 001; Yibo Yan; Lutao Jiang; Yuanhuiyi Lyu; Kailun Yang 001; Linfeng Zhang 001; Xuming Hu (CoRR, 2024)

Accelerating Diffusion Transformers with Dual Feature Caching. - Chang Zou; Evelyn Zhang; Runlin Guo; Haohang Xu; Conghui He; Xuming Hu; Linfeng Zhang 001 (CoRR, 2024)

Gesture Recognition Using Visible Light on Mobile Devices. - Zimo Liao; Zhicheng Luo; Qianyi Huang; Linfeng Zhang 001; Fan Wu 006; Qian Zhang 001; Guihai Chen (IEEE/ACM Trans. Netw., 2024)

Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning. - Evelyn Zhang; Jiayi Tang; Xuefei Ning; Linfeng Zhang 001 (AAAI, 2025)

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. - Shaobo Wang 001; Xiangqi Jin; Ziming Wang; Jize Wang; Jiajun Zhang; Kaixin Li; Zichen Wen; Zhong Li; Conghui He; Xuming Hu; Linfeng Zhang 001 (ACL (1), 2025)

Unlocking Speech Instruction Data Potential with Query Rewriting. - Yonghua Hei; Yibo Yan; Shuliang Liu; Huiyu Zhou 005; Linfeng Zhang 001; Xuming Hu (ACL (Findings), 2025)

Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem? - Zichen Wen; Yifeng Gao; Weijia Li; Conghui He; Linfeng Zhang 001 (ACL (Findings), 2025)

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models. - Junzhe Chen 001; Tianshu Zhang 002; Shiyu Huang 001; Yuwei Niu; Linfeng Zhang 001; Lijie Wen 001; Xuming Hu (CVPR, 2025)

Dataset Distillation with Neural Characteristic Function: A Minmax Perspective. - Shaobo Wang 001; Yicun Yang; Zhiyuan Liu; Chenghao Sun; Xuming Hu; Conghui He; Linfeng Zhang 001 (CVPR, 2025)

ProReflow: Progressive Reflow with Decomposed Velocity. - Lei Ke; Haohang Xu; Xuefei Ning; Yu Li; Jiajun Li; Haoling Li; Yuxuan Lin; Dongsheng Jiang; Yujiu Yang; Linfeng Zhang 001 (CVPR, 2025)

Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning. - Qianli Ma; Xuefei Ning; Dongrui Liu; Li Niu; Linfeng Zhang 001 (CVPR, 2025)

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers. - Shaobo Wang 001; Hongxuan Tang; Mingyang Wang; Hongrui Zhang; Xuyang Liu; Weiya Li; Xuming Hu; Linfeng Zhang 001 (ICLR, 2025)

REEF: Representation Encoding Fingerprints for Large Language Models. - Jie Zhang 074; Dongrui Liu; Chen Qian 006; Linfeng Zhang 001; Yong Liu 018; Yu Qiao 001; Jing Shao (ICLR, 2025)

Accelerating Diffusion Transformers with Token-wise Feature Caching. - Chang Zou; Xuyang Liu; Ting Liu; Siteng Huang; Linfeng Zhang 001 (ICLR, 2025)

Safety-Enhanced Navigation Planning for Magnetic Microrobots. - Yueyue Liu; Linfeng Zhang 001; Xinyu Liu 002; Qigao Fan (IEEE Trans Autom. Sci. Eng., 2025)

Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free. - Evelyn Zhang; Bang Xiao; Jiayi Tang; Qianli Ma; Chang Zou; Xuefei Ning; Xuming Hu; Linfeng Zhang 001 (CoRR, 2025)

Compression with Global Guidance: Towards Training-free High-Resolution MLLMs Acceleration. - Xuyang Liu; Ziming Wang; Yuhang Han; Yingyao Wang; Jiale Yuan; Jun Song; Bo Zheng; Linfeng Zhang 001; Siteng Huang; Honggang Chen (CoRR, 2025)

RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning. - Yuanhuiyi Lyu; Xu Zheng 002; Lutao Jiang; Yibo Yan; Xin Zou 001; Huiyu Zhou 005; Linfeng Zhang 001; Xuming Hu (CoRR, 2025)

Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More. - Zichen Wen; Yifeng Gao; Shaobo Wang 001; Junyuan Zhang; Qintong Zhang; Weijia Li; Conghui He; Linfeng Zhang 001 (CoRR, 2025)

LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint. - Qianli Ma; Dongrui Liu; Chen Qian 006; Linfeng Zhang 001; Jing Shao (CoRR, 2025)

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation. - Ding Zhong; Xu Zheng 002; Chenfei Liao; Yuanhuiyi Lyu; Jialei Chen 001; Shengyang Wu; Linfeng Zhang 001; Xuming Hu (CoRR, 2025)

LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching. - Feihong Yan; Qingyan Wei; Jiayi Tang; Jiajun Li; Yulin Wang; Xuming Hu; Huiqi Li; Linfeng Zhang 001 (CoRR, 2025)

LEGION: Learning to Ground and Explain for Synthetic Image Detection. - Hengrui Kang; Siwei Wen; Zichen Wen; Junyan Ye; Weijia Li; Peilin Feng; Baichuan Zhou; Bin Wang 065; Dahua Lin; Linfeng Zhang 001; Conghui He (CoRR, 2025)

MLLMs are Deeply Affected by Modality Bias. - Xu Zheng 002; Chenfei Liao; Yuqian Fu; Kaiyu Lei; Yuanhuiyi Lyu; Lutao Jiang; Bin Ren; Jialei Chen 001; Jiawen Wang; Chengxin Li; Linfeng Zhang 001; Danda Pani Paudel; et al. (CoRR, 2025)

Shifting AI Efficiency From Model-Centric to Data-Centric Compression. - Xuyang Liu; Zichen Wen; Shaobo Wang 001; Junjie Chen; Zhishan Tao; Yubo Wang; Xiangqi Jin; Chang Zou; Yiyu Wang; Chenfei Liao; Xu Zheng 002; Honggang Chen; et al. (CoRR, 2025)

dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching. - Zhiyuan Liu; Yicun Yang; Yaojie Zhang; Junjie Chen; Chang Zou; Qingyuan Wei; Shaobo Wang 001; Linfeng Zhang 001 (CoRR, 2025)

TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration. - Weiya Li; Junjie Chen; Bei Li; Boyang Liu; Zichen Wen; Nuanqiao Shan; Xiaoqian Liu; Anping Liu; Huajie Liu; Hu Song; Linfeng Zhang 001 (CoRR, 2025)

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models. - Yantai Yang; Yuhao Wang; Zichen Wen; Luo Zhongwei; Chang Zou; Zhipeng Zhang; Chuan Wen; Linfeng Zhang 001 (CoRR, 2025)

MemOS: A Memory OS for AI System. - Zhiyu Li; Shichao Song; Chenyang Xi; Hanyu Wang; Chen Tang; Simin Niu; Ding Chen; Jiawei Yang; Chunyu Li; Qingchen Yu; Jihao Zhao; Yezhaohui Wang; et al. (CoRR, 2025)

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. - Ning Liao; Xiaoxing Wang; Zehao Lin; Weiyang Guo; Feng Hong 004; Shixiang Song; Geng Yu; Zihua Zhao; Sitao Xie; Longxuan Wei; Xiangqi Jin; Xiaohan Qin; et al. (CoRR, 2025)