MoBA: Mixture of Block Attention for Long-Context LLMs.
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CoRR, February, 2025
Impact of AI on firm ambidextrous innovation: Mediating role of digital knowledge coupling.
Int. J. Inf. Manag., 2025
Diagnosis of tomato pests and diseases based on lightweight CNN model.
Soft Comput., February, 2024
Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024
An intelligent system for high-density small target pest identification and infestation level determination based on an improved YOLOv5 model.
Expert Syst. Appl., 2024
Planning, Living and Judging: A Multi-agent LLM-based Framework for Cyclical Urban Planning.
CoRR, 2024
Improving Implicit Discourse Relation Recognition via Connective Prediction and Dependency-weighted Label Hierarchy.
Proceedings of the International Joint Conference on Neural Networks, 2024
Physics-guided Noise Neural Proxy for Low-light Raw Image Denoising.
CoRR, 2023
Towards Robust SDRTV-to-HDRTV via Dual Inverse Degradation Network.
CoRR, 2023
FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems.
Reliab. Eng. Syst. Saf., 2022
Robust deep ensemble method for real-world image denoising.
Neurocomputing, 2022
Research on resilience process model of space-based communication networks based on OPM.
Proceedings of the 16th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2022
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
An Improved CNN-Based Apple Appearance Quality Classification Method With Small Samples.
IEEE Access, 2021
NBNet: Noise Basis Learning for Image Denoising With Subspace Projection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Practical Deep Raw Image Denoising on Mobile Devices.
Proceedings of the Computer Vision - ECCV 2020, 2020
Learning Raw Image Denoising With Bayer Pattern Unification and Bayer Preserving Augmentation.
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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks.
J. Comput. Sci. Technol., 2017
A Deep Learning Approach for Blind Drift Calibration of Sensor Networks.
CoRR, 2017
EAST: An Efficient and Accurate Scene Text Detector.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Drift detection and calibration of sensor networks.
Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015
Blind drift calibration of sensor networks using signal space projection and Kalman filter.
Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015
A self-aware data compression system on FPGA in Hadoop.
Proceedings of the 2015 International Conference on Field Programmable Technology, 2015
Training itself: Mixed-signal training acceleration for memristor-based neural network.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014