Yixing Li
Orcid: 0000-0002-8190-9931
According to our database1,
Yixing Li authored at least 32 papers
between 2006 and 2026.
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Bibliography
2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
DeepMath-Creative: A Benchmark for Evaluating Mathematical Creativity of Large Language Models.
CoRR, May, 2025
DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design.
CoRR, April, 2025
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
2024
Alignment Between the Decision-Making Logic of LLMs and Human Cognition: A Case Study on Legal LLMs.
CoRR, 2024
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Quantum Eng., 2023
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding.
CoRR, 2023
IEEE Access, 2023
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the 2023 7th International Conference on Control Engineering and Artificial Intelligence, 2023
2021
Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021
2020
Build a compact binary neural network through bit-level sensitivity and data pruning.
Neurocomputing, 2020
Proceedings of the 6th IEEE World Forum on Internet of Things, 2020
Proceedings of the 21st International Symposium on Quality Electronic Design, 2020
Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020
2019
A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing.
IEEE Trans. Ind. Electron., 2019
2018
A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks.
ACM J. Emerg. Technol. Comput. Syst., 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning.
CoRR, 2018
SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks.
CoRR, 2017
A data-driven compressive sensing framework tailored for energy-efficient wearable sensing.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Recognizing terrain features on terrestrial surface using a deep learning model: an example with crater detection.
Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, 2017
A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks (Abstract Only).
Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017
2016
A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing.
CoRR, 2016
An energy-efficient compressive sensing framework incorporating online dictionary learning for long-term wireless health monitoring.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006