Yanyu Li
Orcid: 0000-0003-1240-4785
According to our database1,
Yanyu Li
authored at least 60 papers
between 2016 and 2024.
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Bibliography
2024
Artificial Intelligence to Facilitate the Conceptual Stage of Interior Space Design: Conditional Generative Adversarial Network-Supported Long-Term Care Space Floor Plan Design of Retirement Home Buildings.
Appl. Artif. Intell., December, 2024
E<sup>2</sup>GAN: Efficient Training of Efficient GANs for Image-to-Image Translation.
CoRR, 2024
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024
DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
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