Linfeng Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
75
Venues
25
Active years
2006–2026
Best venue rank
A*
Where they publish
- A*ACL15 papers
- A*ICCV10 papers
- A*ICLR8 papers
- A*AAAI7 papers
- A*CVPR7 papers
- A*EMNLP3 papers
- A*ICML3 papers
- ABMVC2 papers
- BIJCNN2 papers
- A*MOBICOM2 papers
- AICDCS2 papers
- BASPDAC1 paper
- CICANN1 paper
- ANAACL1 paper
- MulticonferenceICASSP1 paper
- A*ECCV1 paper
- BPPoPP1 paper
- ASC1 paper
- AESORICS1 paper
- CCW1 paper
- A*ICDE1 paper
- A*PODS1 paper
- CIPCCC1 paper
- CSecureComm1 paper
- NationalTridentCom1 paper
Papers
75 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement. | Yuan Ge, Junxiang Zhang, Xiaoqian Liu, Bei Li, Xiangnan Ma, Chenglong Wang, Kaiyang Ye, Yangfan Du, Linfeng Zhang, Yuxin Huang, Tong Xiao, Zhengtao Yu, Jingbo Zhu |
| 2026 | AAAI | WaveEx: Accelerating Flow Matching-based Speech Generation via Wavelet-guided Extrapolation. | Xiaoqian Liu, Xiyan Gui, Zhengkun Ge, Yuan Ge, Chang Zou, Jiacheng Liu, Zhikang Niu, Qixi Zheng, Chen Xu, Xie Chen, Tong Xiao, Jingbo Zhu, Linfeng Zhang |
| 2026 | AAAI | ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation. | Yue Min, Shaobo Wang, Jiaze Li, Tianle Niu, Junxin Fan, Yongliang Miao, Lijin Yang, Linfeng Zhang |
| 2026 | AAAI | UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective. | Furui Xu, Shaobo Wang, Jiajun Zhang, Chenghao Sun, Haixiang Tang, Linfeng Zhang |
| 2026 | AAAI | D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning. | Evelyn Zhang, Fufu Yu, Aoqi Wu, Zichen Wen, Ke Yan, Shouhong Ding, Biqing Qi, Linfeng Zhang |
| 2026 | AAAI | Forecast Then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers. | Shikang Zheng, Liang Feng, Xinyu Wang, Qinming Zhou, Peiliang Cai, Chang Zou, Jiacheng Liu, Yuqi Lin, Junjie Chen, Yue Ma, Linfeng Zhang |
| 2026 | ACL | Stability Implies Redundancy: Delta Attention Selective Halting for Efficient Long-Context Prefilling. | Yujie Chen, Tailai Chen, Yifeng Gao, Zoe Wanying He, Yijue Xu, Shaobo Wang, Linfeng Zhang |
| 2026 | ACL | SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation. | Shuang Cheng, Yihan Bian, Dawei Liu, Yuhua Jiang, Yihao Liu, Linfeng Zhang, Qian Yao, Zhongbo Tian, Wenhai Wang, Qipeng Guo, Kai Chen, Biqing Qi, Bowen Zhou |
| 2026 | ACL | SDAR-VL: Stable and Efficient Block-wise Diffusion for Vision-Language Understanding. | Shuang Cheng, Yuhua Jiang, Zineng Zhou, Dawei Liu, Tao Wang, Linfeng Zhang, Biqing Qi, Bowen Zhou |
| 2026 | ACL | AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems. | Yulang Chen, Haoxuan Peng, Jinyan Liu, Zichen Wen, Dongrui Liu, Linfeng Zhang |
| 2026 | ACL | ProtoCycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design. | Yutang Ge, Guojiang Zhao, Sihang Li, Zheng Cheng, Zifeng Zhao, Hanchen Xia, Guolin Ke, Linfeng Zhang, Zhifeng Gao, Yu Guang Wang |
| 2026 | ACL | Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM Inference. | Jianuo Huang, Yaojie Zhang, Yicun Yang, Benhao Huang, Linfeng Zhang |
| 2026 | ACL | Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods. | 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 |
| 2026 | ACL | Bypassing Neural Evaluations for Fast Audio Editing via Adaptive Trajectory Extrapolation. | Xiaoqian Liu, Zhengkun Ge, Jianjin Wang, Haoran Zhang, Yuan Ge, Kaiyan Chang, Chen Xu, Tong Xiao, Zhengtao Yu, Linfeng Zhang, JingBo Zhu |
| 2026 | ACL | MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing. | 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, Zirui Tang, Boyu Niu, Yuanhong Zheng, Dongsheng Ma, Ziyang Miao, Hejun Dong, Siyi Qian, Junyuan Zhang, Fangdong Wang, Jingzhou Chen, Xiaomeng Zhao, Liqun Wei, Wei Li, Shasha Wang, Ruiliang Xu, Yuanyuan Cao, Lu Chen, Qianqian Wu, Huaiyu Gu, Lindong Lu, Dechen Lin, Shenguanlin, 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, Bowen Zhou, Dahua Lin, Wentao Zhang, Conghui He |
| 2026 | ACL | MelTrim: Coarse-to-Fine Data Pruning for Speech Classification. | Shaobo Wang, Tianle Niu, Xuan Ouyang, Xintong Li, Zhengkun Ge, Yue Min, Xiaoqian Liu, Hankun Wang, Linfeng Zhang |
| 2026 | ACL | StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding. | Junxi Wang, Te Sun, Jiayi Zhu, Junxian Li, Haowen Xu, Zichen Wen, Xuming Hu, Zhiyu Li, Linfeng Zhang |
| 2026 | ASPDAC | dLLM-OPU: An FPGA Overlay Processor for Accelerated Diffusion Large Language Models. | Yangbo Wei, Shaoqiang Lu, Junhong Qian, Lei He, Dongge Qin, Xiao Shi, Chen Wu, Linfeng Zhang |
| 2025 | AAAI | Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning. | Evelyn Zhang, Jiayi Tang, Xuefei Ning, Linfeng Zhang |
| 2025 | ACL | Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. | Shaobo Wang, Xiangqi Jin, Ziming Wang, Jize Wang, Jiajun Zhang, Kaixin Li, Zichen Wen, Zhong Li, Conghui He, Xuming Hu, Linfeng Zhang |
| 2025 | ACL | Unlocking Speech Instruction Data Potential with Query Rewriting. | Yonghua Hei, Yibo Yan, Shuliang Liu, Huiyu Zhou, Linfeng Zhang, Xuming Hu |
| 2025 | ACL | LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint. | Qianli Ma, Dongrui Liu, Qian Chen, Linfeng Zhang, Jing Shao |
| 2025 | ACL | Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem? | Zichen Wen, Yifeng Gao, Weijia Li, Conghui He, Linfeng Zhang |
| 2025 | CVPR | ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models. | Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Linfeng Zhang, Lijie Wen, Xuming Hu |
| 2025 | CVPR | Dataset Distillation with Neural Characteristic Function: A Minmax Perspective. | Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning. | Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang |
| 2025 | EMNLP | GraphKV: Breaking the Static Selection Paradigm with Graph-Based KV Cache Eviction. | Xuelin Li, Xiangqi Jin, Linfeng Zhang |
| 2025 | EMNLP | Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models. | Xuyang Liu, Yiyu Wang, Junpeng Ma, Linfeng Zhang |
| 2025 | EMNLP | Stop Looking for "Important Tokens" in Multimodal Language Models: Duplication Matters More. | Zichen Wen, Yifeng Gao, Shaobo Wang, Junyuan Zhang, Qintong Zhang, Weijia Li, Conghui He, Linfeng Zhang |
| 2025 | ICANN | Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction. | Eric Alcaide, Zhifeng Gao, Guolin Ke, Yaqi Li, Linfeng Zhang, Hang Zheng, Gengmo Zhou |
| 2025 | ICCV | MolParser: End-to-End Visual Recognition of Molecule Structures in the Wild. | Xi Fang, Jiankun Wang, Xiaochen Cai, Shangqian Chen, Shuwen Yang, Haoyi Tao, Nan Wang, Lin Yao, Linfeng Zhang, Guolin Ke |
| 2025 | ICCV | 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, Dahua Lin, Linfeng Zhang, Conghui He |
| 2025 | ICCV | From Reusing to Forecasting: Accelerating Diffusion Models With Taylorseers. | Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu, Junjie Chen, Linfeng Zhang |
| 2025 | ICCV | EEdit ⚡: Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing. | Zexuan Yan, Yue Ma, Chang Zou, Wenteng Chen, Qifeng Chen, Linfeng Zhang |
| 2025 | ICCV | LazyMAR: Accelerating Masked Autoregressive Models Via Feature Caching. | Feihong Yan, Qingyan Wei, Jiayi Tang, Jiajun Li, Yulin Wang, Xuming Hu, Huiqi Li, Linfeng Zhang |
| 2025 | ICCV | OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation. | Ding Zhong, Xu Zheng, Chenfei Liao, Yuanhuiyi Lyu, Jialei Chen, Shengyang Wu, Linfeng Zhang, Xuming Hu |
| 2025 | ICLR | Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers. | Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang |
| 2025 | ICLR | SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding. | Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai |
| 2025 | ICLR | REEF: Representation Encoding Fingerprints for Large Language Models. | Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao |
| 2025 | ICLR | Learning local equivariant representations for quantum operators. | Zhanghao Zhouyin, Zixi Gan, Shishir Kumar Pandey, Linfeng Zhang, Qiangqiang Gu |
| 2025 | ICLR | Accelerating Diffusion Transformers with Token-wise Feature Caching. | Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang |
| 2025 | ICML | Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling. | Shuqi Lu, Xiaohong Ji, Bohang Zhang, Lin Yao, Siyuan Liu, Zhifeng Gao, Linfeng Zhang, Guolin Ke |
| 2025 | ICML | RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning. | Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu |
| 2025 | NAACL | SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. | Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, Shuwen Yang, Jiankun Wang, Mingjun Xu, Jin Huang, Xi Fang, Jiaxi Zhuang, Yuqi Yin, Yaqi Li, Changhong Chen, Zheng Cheng, Zifeng Zhao, Linfeng Zhang, Guolin Ke |
| 2023 | BMVC | Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. | Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma |
| 2023 | BMVC | Structured Knowledge Distillation Towards Efficient Multi-View 3D Object Detection. | Linfeng Zhang, Yukang Shi, Ke Wang, Zhipeng Zhang, Hung-Shuo Tai, Yuan He, Kaisheng Ma |
| 2023 | CVPR | PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. | Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma |
| 2023 | ICASSP | CORSD: Class-Oriented Relational Self Distillation. | Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Karsheng Ma |
| 2023 | ICCV | Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution. | Fei Li, Linfeng Zhang, Zikun Liu, Juan Lei, Zhenbo Li |
| 2023 | ICCV | Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. | Linfeng Zhang, Kaisheng Ma |
| 2023 | ICCV | 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, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang |
| 2023 | ICLR | Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? | Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma |
| 2023 | ICLR | Uni-Mol: A Universal 3D Molecular Representation Learning Framework. | Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke |
| 2023 | IJCNN | Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. | Muzhou Yu, Linfeng Zhang, Kaisheng Ma |
| 2022 | CVPR | Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. | Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma |
| 2022 | ECCV | Contrastive Deep Supervision. | Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma |
| 2022 | ICML | Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. | Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma |
| 2022 | PPoPP | Extending the limit of molecular dynamics with | Zhuoqiang Guo, Denghui Lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia |
| 2021 | ICLR | Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. | Linfeng Zhang, Kaisheng Ma |
| 2021 | IJCNN | Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. | Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma |
| 2021 | MOBICOM | SMART: screen-based gesture recognition on commodity mobile devices. | Zimo Liao, Zhicheng Luo, Qianyi Huang, Linfeng Zhang, Fan Wu, Qian Zhang, Yi Wang, Guihai Chen |
| 2021 | MOBICOM | SMART: screen-based gesture recognition on commodity mobile devices. | Zimo Liao, Zhicheng Luo, Qianyi Huang, Linfeng Zhang, Fan Wu, Qian Zhang, Yi Wang |
| 2020 | CVPR | Auxiliary Training: Towards Accurate and Robust Models. | Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma |
| 2020 | SC | Pushing the limit of molecular dynamics with | Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang |
| 2019 | ICCV | Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. | Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma |
| 2010 | ICDCS | Sketch-Based Streaming PCA Algorithm for Network-Wide Traffic Anomaly Detection. | Yang Liu, Linfeng Zhang, Yong Guan |
| 2009 | ESORICS | An Effective Method for Combating Malicious Scripts Clickbots. | Yanlin Peng, Linfeng Zhang, J. Morris Chang, Yong Guan |
| 2008 | CW | Video Segmentation Algorithm in Virtual Advertisement System. | Linqiang Chen, Jianping Han, Linfeng Zhang |
| 2008 | ICDCS | Detecting Click Fraud in Pay-Per-Click Streams of Online Advertising Networks. | Linfeng Zhang, Yong Guan |
| 2008 | ICDE | Frequency Estimation over Sliding Windows. | Linfeng Zhang, Yong Guan |
| 2007 | PODS | Variance estimation over sliding windows. | Linfeng Zhang, Yong Guan |
| 2006 | IPCCC | Detection of stepping stone attack under delay and chaff perturbations. | Linfeng Zhang, Anthony G. Persaud, Alan Johnson, Yong Guan |
| 2006 | SecureComm | TOPO: A Topology-aware Single Packet Attack Traceback Scheme. | Linfeng Zhang, Yong Guan |
| 2006 | TridentCom | A testbed for evaluation and analysis of stepping stone attack attribution techniques. | Jianqiang Xin, Linfeng Zhang, Brad Aswegan, John Dickerson, Julie A. Dickerson, Thomas E. Daniels, Yong Guan |