Zhang, Linfeng

54 publications

ICLR 2026 Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles Qingyan Wei, Yaojie Zhang, Zhiyuan Liu, Puyu Zeng, Yuxuan Wang, Biqing Qi, Dongrui Liu, Linfeng Zhang

ICLR 2026 FastVMT: Eliminating Redundancy in Video Motion Transfer Yue Ma, Zhikai Wang, Tianhao Ren, Mingzhe Zheng, Hongyu Liu, Jiayi Guo, Kunyu Feng, Yuxuan Xue, Zixiang Zhao, Konrad Schindler, Qifeng Chen, Linfeng Zhang

ICLR 2026 Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control Zeqian Long, Mingzhe Zheng, Kunyu Feng, Xinhua Zhang, Hongyu Liu, Harry Yang, Linfeng Zhang, Qifeng Chen, Yue Ma

ICLR 2026 Generation Then Reconstruction: Accelerating Masked Autoregressive Models via Two-Stage Sampling Feihong Yan, Yao Zhu, Peiru Wang, Pang Kaiyu, Qingyan Wei, Huiqi Li, Linfeng Zhang

ICLR 2026 Grounding and Enhancing Informativeness and Utility in Dataset Distillation Shaobo Wang, Yantai Yang, Guo Chen, Peiru Li, Kaixin Li, Yufa Zhou, Zhaorun Chen, Linfeng Zhang

ICLR 2026 HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-Then-Forecast Diffusion Acceleration Liang Feng, Shikang Zheng, Jiacheng Liu, Yuqi Lin, Qinming Zhou, Peiliang Cai, Xinyu Wang, Junjie Chen, Chang Zou, Yue Ma, Linfeng Zhang

ICLR 2026 Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers Shikang Zheng, Guantao Chen, Qinming Zhou, Yuqi Lin, Lixuan He, Chang Zou, Peiliang Cai, Jiacheng Liu, Linfeng Zhang

ICLR 2026 Mixing Importance with Diversity: Joint Optimization for KV Cache Compression in Large Vision-Language Models Xuyang Liu, Xiyan Gui, Yuchao Zhang, Linfeng Zhang

ICLR 2026 Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data? 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

ICLR 2026 The Devil Behind the Mask: An Emergent Safety Vulnerability of Diffusion LLMs Zichen Wen, Jiashu Qu, Zhaorun Chen, Xiaoya Lu, Dongrui Liu, Zhiyuan Liu, Ruixi Wu, Yicun Yang, Xiangqi Jin, Haoyun Xu, Xuyang Liu, Weijia Li, Chaochao Lu, Jing Shao, Conghui He, Linfeng Zhang

ICLR 2026 Towards Self-Evolving Agent Benchmarks : Validatable Agent Trajectory via Test-Time Exploration Dadi Guo, Tianyi Zhou, Dongrui Liu, Chen Qian, Qihan Ren, Shuai Shao, Zhiyuan Fan, Yi R. Fung, Kun Wang, Linfeng Zhang, Jing Shao

ICLR 2026 Your Agent May Misevolve: Emergent Risks in Self-Evolving LLM Agents Shuai Shao, Qihan Ren, Dongrui Liu, Chen Qian, Boyi Wei, Dadi Guo, Yang JingYi, Xinhao Song, Linfeng Zhang, Weinan Zhang, Jing Shao

ICLR 2025 Accelerating Diffusion Transformers with Token-Wise Feature Caching Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang

ICML 2025 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

ICLRW 2025 DRUPI: Dataset Reduction Using Privileged Information Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang

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

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

NeurIPS 2025 Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu

ICCV 2025 EEdit : Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing Zexuan Yan, Yue Ma, Chang Zou, Wenteng Chen, Qifeng Chen, Linfeng Zhang

NeurIPS 2025 Efficient Multi-Modal Large Language Models via Progressive Consistency Distillation Zichen Wen, Shaobo Wang, Yufa Zhou, Junyuan Zhang, Qintong Zhang, Yifeng Gao, Zhaorun Chen, Bin Wang, Weijia Li, Conghui He, Linfeng Zhang

NeurIPS 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

ICCV 2025 From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu, Junjie Chen, Linfeng Zhang

ICLR 2025 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

CVPR 2025 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

ICCV 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, Dahua Lin, Linfeng Zhang, Conghui He

ICCV 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

ICLR 2025 Learning Local Equivariant Representations for Quantum Operators Zhanghao Zhouyin, Zixi Gan, Shishir Kumar Pandey, Linfeng Zhang, Qiangqiang Gu

ICCV 2025 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

ICCV 2025 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

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

ICLR 2025 REEF: Representation Encoding Fingerprints for Large Language Models Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao

ICML 2025 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

ICLRW 2025 Rethinking Dataset Pruning from a Generalization Perspective Furui Xu, Shaobo Wang, Luo Zhongwei, Linfeng Zhang

ICLR 2025 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

AAAI 2025 Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-Based Token Pruning Evelyn Zhang, Jiayi Tang, Xuefei Ning, Linfeng Zhang

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

NeurIPS 2024 Exploring Molecular Pretraining Model at Scale Xiaohong Ji, Zhen Wang, Zhifeng Gao, Hang Zheng, Linfeng Zhang, Guolin Ke, Weinan E

NeurIPSW 2024 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

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, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang

ICLR 2023 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

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

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

ICCV 2023 Tiny Updater: Towards Efficient Neural Network-Driven Software Updating Linfeng Zhang, Kaisheng Ma

ICLRW 2023 Uni-Fold MuSSe: De Novo Protein Complex Prediction with Protein Language Models Jinhua Zhu, Zhenyu He, Ziyao Li, Guolin Ke, Linfeng Zhang

ICLR 2023 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

ECCV 2022 Contrastive Deep Supervision Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma

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

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

ICLR 2021 Improve Object Detection with Feature-Based Knowledge Distillation: Towards Accurate and Efficient Detectors Linfeng Zhang, Kaisheng Ma

CVPR 2020 Auxiliary Training: Towards Accurate and Robust Models Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma

NeurIPS 2020 Task-Oriented Feature Distillation Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao

ICCV 2019 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

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

NeurIPS 2018 End-to-End Symmetry Preserving Inter-Atomic Potential Energy Model for Finite and Extended Systems Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E