Linfeng Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 87

Top Venues

CoRR

ICCV

Comput. Phys. Commun.

ICLR

Publications

Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, Shuwen Yang, Jiankun Wang, Yuqi Yin, Yaqi Li, Linfeng Zhang, Guolin Ke
SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. CoRR (2024)
Hengxing Cai, Xiaochen Cai, Shuwen Yang, Jiankun Wang, Lin Yao, Zhifeng Gao, Junhan Chang, Sihang Li, Mingjun Xu, Changxin Wang, Hongshuai Wang, Yongge Li, Mujie Lin, Yaqi Li, Yuqi Yin, Linfeng Zhang, Guolin Ke
Uni-SMART: Universal Science Multimodal Analysis and Research Transformer. CoRR (2024)
Xiaohong Ji, Zhen Wang, Zhifeng Gao, Hang Zheng, Linfeng Zhang, Guolin Ke, Weinan E
Uni-Mol2: Exploring Molecular Pretraining Model at Scale. CoRR (2024)
Boshen Zeng, Sian Chen, Xinxin Liu, Changhong Chen, Bin Deng, Xiaoxu Wang, Zhifeng Gao, Yuzhi Zhang, Weinan E, Linfeng Zhang
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design. CoRR (2024)
Zhanghao Zhouyin, Zixi Gan, Shishir Kumar Pandey, Linfeng Zhang, Qiangqiang Gu
Learning local equivariant representations for quantum operators. CoRR (2024)
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 (2024)
Eric Alcaide, Zhifeng Gao, Guolin Ke, Yaqi Li, Linfeng Zhang, Hang Zheng, Gengmo Zhou
Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction. CoRR (2024)
Xinzijian Liu, Yanbo Han, Zhuoyuan Li, Jiahao Fan, Chengqian Zhang, Jinzhe Zeng, Yifan Shan, Yannan Yuan, Wei-Hong Xu, Yun-Pei Liu, Yuzhi Zhang, Tongqi Wen, Darrin M. York, Zhicheng Zhong, Hang Zheng, Jun Cheng, Linfeng Zhang, Han Wang
Dflow, a Python framework for constructing cloud-native AI-for-Science workflows. CoRR (2024)
Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Kaisheng Ma
CORSD: Class-Oriented Relational Self Distillation. CoRR (2023)
Linfeng Zhang, Kaisheng Ma
Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. ICCV (2023)
Linfeng Zhang, Kaisheng Ma
Structured Knowledge Distillation for Accurate and Efficient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. BMVC (2023)
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)
Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke
Uni-Mol: A Universal 3D Molecular Representation Learning Framework. ICLR (2023)
Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Karsheng Ma
CORSD: Class-Oriented Relational Self Distillation. ICASSP (2023)
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 (2023)
Muzhou Yu, Linfeng Zhang, Kaisheng Ma
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. CoRR (2023)
Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E
DeePKS-kit: A package for developing machine learning-based chemically accurate energy and density functional models. Comput. Phys. Commun. 282 (2023)
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) (2023)
Zhifeng Gao, Xiaohong Ji, Guojiang Zhao, Hongshuai Wang, Hang Zheng, Guolin Ke, Linfeng Zhang
Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction. CoRR (2023)
Linfeng Zhang
Application of a Network Teaching Platform in English Classroom Teaching. Int. J. Web Based Learn. Teach. Technol. 18 (1) (2023)
Fei Li, Linfeng Zhang, Zikun Liu, Juan Lei, Zhenbo Li
Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution. ICCV (2023)
Shuqi Lu, Zhifeng Gao, Di He, Linfeng Zhang, Guolin Ke
Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+. CoRR (2023)
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)
Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CVPR (2023)
Muzhou Yu, Linfeng Zhang, Kaisheng Ma
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. IJCNN (2023)
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)
Wenfei Li, Qi Ou, Yixiao Chen, Yu Cao, Renxi Liu, Chunyi Zhang, Daye Zheng, Chun Cai, Xifan Wu, Han Wang, Mohan Chen, Linfeng Zhang
DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials. CoRR (2022)
Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CoRR (2022)
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) (2022)
Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma
Contrastive Deep Supervision. CoRR (2022)
Hao Xie, Zi-Hang Li, Han Wang, Linfeng Zhang, Lei Wang
A deep variational free energy approach to dense hydrogen. CoRR (2022)
Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CVPR (2022)
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 (2022)
Duo Zhang, Hangrui Bi, Fu-Zhi Dai, Wanrun Jiang, Linfeng Zhang, Han Wang
DPA-1: Pretraining of Attention-based Deep Potential Model for Molecular Simulation. CoRR (2022)
Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. CoRR (2022)
Linfeng Zhang, Chenglong Bao, Kaisheng Ma
Self-Distillation: Towards Efficient and Compact Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Wing Fung Chong, Runhuan Feng, Hins Hu, Linfeng Zhang
Cyber Risk Assessment for Capital Management. CoRR (2022)
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 (2022)
Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CoRR (2022)
Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. ICML (2022)
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
accuracy to 10 billion atoms. PPoPP (2022)
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
Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. CoRR (2022)
Hao Xie, Linfeng Zhang, Lei Wang
of two-dimensional electron gas: a neural canonical transformation study. CoRR (2022)
Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma
Contrastive Deep Supervision. ECCV (26) (2022)
Dongdong Wang, Yanze Wang, Junhan Chang, Linfeng Zhang, Han Wang, Weinan E
Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics. Nat. Comput. Sci. 2 (1) (2022)
Jay P. Kesan, Linfeng Zhang
An Empirical Investigation of the Relationship between Local Government Budgets, IT Expenditures, and Cyber Losses. IEEE Trans. Emerg. Top. Comput. 9 (2) (2021)
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)
Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin
Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks. J. Comput. Phys. 443 (2021)
Linfeng Zhang, Kaisheng Ma
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. ICLR (2021)
Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma
Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. IJCNN (2021)
Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. CoRR (2021)
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)
Denghui Lu, Han Wang, Mohan Chen, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang
accuracy. Comput. Phys. Commun. 259 (2021)
Hao Xie, Linfeng Zhang, Lei Wang
Ab-initio study of interacting fermions at finite temperature with neural canonical transformation. CoRR (2021)
Jay P. Kesan, Linfeng Zhang
Analysis of Cyber Incident Categories Based on Losses. ACM Trans. Manag. Inf. Syst. 11 (4) (2020)
Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma
Auxiliary Training: Towards Accurate and Robust Models. CVPR (2020)
Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E
DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory. CoRR (2020)
Yuzhi Zhang, Haidi Wang, Weijie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, Weinan E
DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models. Comput. Phys. Commun. 253 (2020)
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) (2020)
Denghui Lu, Han Wang, Mohan Chen, Jiduan Liu, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang
86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy. CoRR (2020)
Weinan E, Jiequn Han, Linfeng Zhang
Integrating Machine Learning with Physics-Based Modeling. CoRR (2020)
Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
Task-Oriented Feature Distillation. NeurIPS (2020)
Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang
accuracy to 100 million atoms with machine learning. SC (2020)
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) (2019)
Shuo-Hui Li, Chen-Xiao Dong, Linfeng Zhang, Lei Wang
Neural Canonical Transformation with Symplectic Flows. CoRR (2019)
Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin
Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks. CoRR (2019)
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)
Jiequn Han, Yingzhou Li, Lin Lin, Jianfeng Lu, Jiefu Zhang, Linfeng Zhang
Universal approximation of symmetric and anti-symmetric functions. CoRR (2019)
Linfeng Zhang, Hongfei Jia, Nicolas Forcadel, Bin Ran
Junction Conditions for Hamilton-Jacobi Equations for Solving Real-Time Traffic Flow Problems. IEEE Access 7 (2019)
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 (2019)
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)
Jiequn Han, Linfeng Zhang, Weinan E
Solving many-electron Schrödinger equation using deep neural networks. J. Comput. Phys. 399 (2019)
Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR (2019)
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 (2019)
Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang
Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks. CoRR (2019)
Han Wang, Linfeng Zhang, Jiequn Han, Weinan E
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. Comput. Phys. Commun. 228 (2018)
Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E
Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation. CoRR (2018)
Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems. NeurIPS (2018)
Linfeng Zhang, Weinan E, Lei Wang
Monge-Ampère Flow for Generative Modeling. CoRR (2018)
Zhilu Yuan, Hongfei Jia, Linfeng Zhang, Lei Bian
A social force evacuation model considering the effect of emergency signs. Simul. 94 (8) (2018)
Linfeng Zhang, Han Wang, Weinan E
Reinforced dynamics for enhanced sampling in large atomic and molecular systems. I. Basic Methodology. CoRR (2017)
Linfeng Zhang, Xingguo Xiong
Optimization of the Power Flow in a Smart Home. REV (2017)
Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics. CoRR (2017)
Zhilu Yuan, Hongfei Jia, Mingjun Liao, Linfeng Zhang, Yixiong Feng, Guangdong Tian
Simulation model of self-organizing pedestrian movement considering following behavior. Frontiers Inf. Technol. Electron. Eng. 18 (8) (2017)
Han Wang, Linfeng Zhang, Jiequn Han, Weinan E
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. CoRR (2017)
Yang Liu, Linfeng Zhang, Yong Guan
Sketch-Based Streaming PCA Algorithm for Network-Wide Traffic Anomaly Detection. ICDCS (2010)
Yang Liu, Linfeng Zhang, Yong Guan
A distributed data streaming algorithm for network-wide traffic anomaly detection. SIGMETRICS Perform. Evaluation Rev. 37 (2) (2009)
Yanlin Peng, Linfeng Zhang, J. Morris Chang, Yong Guan
An Effective Method for Combating Malicious Scripts Clickbots. ESORICS (2009)
Yanlin Peng, Linfeng Zhang, Yong Guan
Detecting Fraud in Internet Auction Systems. IFIP Int. Conf. Digital Forensics (2009)
Linfeng Zhang, Yong Guan
Frequency Estimation over Sliding Windows. ICDE (2008)
Linqiang Chen, Jianping Han, Linfeng Zhang
Video Segmentation Algorithm in Virtual Advertisement System. CW (2008)
Linfeng Zhang, Yong Guan
Detecting Click Fraud in Pay-Per-Click Streams of Online Advertising Networks. ICDCS (2008)
Linfeng Zhang, Yong Guan
Variance estimation over sliding windows. PODS (2007)
Linfeng Zhang, Fei Yu, Yue Shen, Guiping Liao, Ken Chen
E-learning System Based on Neural Networks. World Congress on Engineering (2007)
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)
Jianqiang Xin, Linfeng Zhang, Brad Aswegan, John Dickerson, Julie A. Dickerson, Thomas E. Daniels, Yong Guan
A testbed for evaluation and analysis of stepping stone attack attribution techniques. TRIDENTCOM (2006)
Linfeng Zhang, Anthony G. Persaud, Alan Johnson, Yong Guan
Detection of stepping stone attack under delay and chaff perturbations. IPCCC (2006)
Linfeng Zhang, Yong Guan
TOPO: A Topology-aware Single Packet Attack Traceback Scheme. SecureComm (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Linfeng Zhang