Yanyu Li
Orcid: 0000-0003-1240-4785
According to our database1,
Yanyu Li
authored at least 50 papers
between 2016 and 2024.
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Bibliography
2024
E<sup>2</sup>GAN: Efficient Training of Efficient GANs for Image-to-Image Translation.
CoRR, 2024
2023
AirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces.
IEEE/ACM Trans. Netw., December, 2023
SEanalysis 2.0: a comprehensive super-enhancer regulatory network analysis tool for human and mouse.
Nucleic Acids Res., July, 2023
Bioinform., January, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.
ACM Trans. Embed. Comput. Syst., September, 2022
IEEE Internet Things Mag., 2022
CoRR, 2022
Briefings Bioinform., 2022
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Design of a multi-channel fatigue test monitoring cloud platform based on the Internet of Things.
Proceedings of the 6th International Symposium on Computer Science and Intelligent Control, 2022
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.
Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022
FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization.
Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
2021
Nucleic Acids Res., 2021
Nucleic Acids Res., 2021
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA.
CoRR, 2021
TRlnc: a comprehensive database for human transcriptional regulatory information of lncRNAs.
Briefings Bioinform., 2021
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
KnockTF: a comprehensive human gene expression profile database with knockdown/knockout of transcription factors.
Nucleic Acids Res., 2020
ENdb: a manually curated database of experimentally supported enhancers for human and mouse.
Nucleic Acids Res., 2020
6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.
CoRR, 2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework.
CoRR, 2020
2019
Nucleic Acids Res., 2019
Briefings Bioinform., 2019
2017
High Sensitivity Detection of CdSe/ZnS Quantum Dot-Labeled DNA Based on N-type Porous Silicon Microcavities.
Sensors, 2017
2016
Proceedings of the 41st IEEE Conference on Local Computer Networks Workshops, 2016