Linfeng Zhang
Orcid: 0000-0002-3341-183X
According to our database1,
Linfeng Zhang
authored at least 80 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
A Good Data Augmentation Policy is not All You Need: A Multi-Task Learning Perspective.
IEEE Trans. Circuits Syst. Video Technol., May, 2023
DeePKS-kit: A package for developing machine learning-based chemically accurate energy and density functional models.
Comput. Phys. Commun., 2023
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics.
Nat. Comput. Sci., 2022
Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection.
CoRR, 2022
CoRR, 2022
DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials.
CoRR, 2022
m<sup>*</sup> of two-dimensional electron gas: a neural canonical transformation study.
CoRR, 2022
Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms.
CoRR, 2022
Extending the limit of molecular dynamics with <i>ab initio</i> accuracy to 10 billion atoms.
Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
An Empirical Investigation of the Relationship between Local Government Budgets, IT Expenditures, and Cyber Losses.
IEEE Trans. Emerg. Top. Comput., 2021
Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks.
J. Comput. Phys., 2021
86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with <i>ab initio</i> accuracy.
Comput. Phys. Commun., 2021
Ab-initio study of interacting fermions at finite temperature with neural canonical transformation.
CoRR, 2021
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Fine-grained emotion classification of Chinese microblogs based on graph convolution networks.
World Wide Web, 2020
ACM Trans. Manag. Inf. Syst., 2020
DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models.
Comput. Phys. Commun., 2020
DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory.
CoRR, 2020
86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy.
CoRR, 2020
Pushing the limit of molecular dynamics with <i>ab initio</i> accuracy to 100 million atoms with machine learning.
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Prediction of Marine Pycnocline Based on Kernel Support Vector Machine and Convex Optimization Technology.
Sensors, 2019
J. Comput. Phys., 2019
Junction Conditions for Hamilton-Jacobi Equations for Solving Real-Time Traffic Flow Problems.
IEEE Access, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Simul., 2018
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics.
Comput. Phys. Commun., 2018
Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation.
CoRR, 2018
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Simulation model of self-organizing pedestrian movement considering following behavior.
Frontiers Inf. Technol. Electron. Eng., 2017
Reinforced dynamics for enhanced sampling in large atomic and molecular systems. I. Basic Methodology.
CoRR, 2017
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics.
CoRR, 2017
Proceedings of the Online Engineering & Internet of Things, 2017
2010
Proceedings of the 2010 International Conference on Distributed Computing Systems, 2010
2009
SIGMETRICS Perform. Evaluation Rev., 2009
Proceedings of the Advances in Digital Forensics V, 2009
Proceedings of the Computer Security, 2009
2008
Proceedings of the 24th International Conference on Data Engineering, 2008
Proceedings of the 28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 2008
Proceedings of the International Conference on Cyberworlds 2008, 2008
2007
E-learning System Based on Neural Networks.
Proceedings of the World Congress on Engineering, 2007
Proceedings of the Twenty-Sixth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2007
Proceedings of the Advances in Computer and Information Sciences and Engineering, 2007
2006
A testbed for evaluation and analysis of stepping stone attack attribution techniques.
Proceedings of the 2nd International Conference on Testbeds & Research Infrastructures for the DEvelopment of NeTworks & COMmunities (TRIDENTCOM 2006), 2006
Proceedings of the Second International Conference on Security and Privacy in Communication Networks and the Workshops, 2006
Proceedings of the 25th IEEE International Performance Computing and Communications Conference, 2006