Tianyun Zhang
Orcid: 0000-0002-2475-6414
According to our database1,
Tianyun Zhang
authored at least 47 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, August, 2024
Segmentation of Low-Light Optical Coherence Tomography Angiography Images under the Constraints of Vascular Network Topology.
Sensors, February, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
2023
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Macular Hole Reconstruction with Stochastic Retinal Defect Augmentation and Dynamic Weight Composition.
CoRR, 2023
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Int. J. Data Sci. Anal., 2022
Proceedings of the MobiArch '22: Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture, 2022
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
AdverSparse: An Adversarial Attack Framework for Deep Spatial-Temporal Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
2020
CoRR, 2020
CoRR, 2020
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
CoRR, 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM.
Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019
2018
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers.
CoRR, 2018
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM.
CoRR, 2018
CoRR, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers.
Proceedings of the Computer Vision - ECCV 2018, 2018
2011
Proceedings of the 2011 IEEE 9th International Conference on ASIC, 2011