Yanyu Li

Orcid: 0000-0003-1240-4785

According to our database1, Yanyu Li authored at least 62 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

Efficient Training with Denoised Neural Weights.
CoRR, 2024

BitsFusion: 1.99 bits Weight Quantization of Diffusion Model.
CoRR, 2024

SF-V: Single Forward Video Generation Model.
CoRR, 2024

E<sup>2</sup>GAN: Efficient Training of Efficient GANs for Image-to-Image Translation.
CoRR, 2024

DEFCON: Deformable Convolutions Leveraging Interval Search and GPU Texture Hardware.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

FasterVD: On Acceleration of Video Diffusion Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Research on Image Aesthetic Assessment based on Graph Convolutional Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs.
Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

Efficient Training with Denoised Neural Weights.
Proceedings of the Computer Vision - ECCV 2024, 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

TextCraftor: Your Text Encoder can be Image Quality Controller.
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

CanMethdb: a database for genome-wide DNA methylation annotation in cancers.
Bioinform., January, 2023

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rethinking Vision Transformers for MobileNet Size and Speed.
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

Towards Real-Time Segmentation on the Edge.
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

Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices.
IEEE Internet Things Mag., 2022

PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems.
CoRR, 2022

EfficientFormer: Vision Transformers at MobileNet Speed.
CoRR, 2022

Automated deep learning-based wide-band receiver.
Comput. Networks, 2022

GREAP: a comprehensive enrichment analysis software for human genomic regions.
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

EfficientFormer: Vision Transformers at MobileNet Speed.
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

Real-Time Portrait Stylization on the Edge.
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

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.
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

NN-key: A Neural Network-Based Secret Key for Demapping OFDM Symbols.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021
ATACdb: a comprehensive human chromatin accessibility database.
Nucleic Acids Res., 2021

LncSEA: a platform for long non-coding RNA related sets and enrichment analysis.
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

Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.
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
SEanalysis: a web tool for super-enhancer associated regulatory analysis.
Nucleic Acids Res., 2019

TRCirc: a resource for transcriptional regulation information of circRNAs.
Briefings Bioinform., 2019

2017
High Sensitivity Detection of CdSe/ZnS Quantum Dot-Labeled DNA Based on N-type Porous Silicon Microcavities.
Sensors, 2017

2016
An Efficient VNE Algorithm via Preferentially Mapping Important Nodes.
Proceedings of the 41st IEEE Conference on Local Computer Networks Workshops, 2016


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