Fangxin Liu
Orcid: 0000-0002-8769-293X
According to our database1,
Fangxin Liu
authored at least 62 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
STCO: Enhancing Training Efficiency via Structured Sparse Tensor Compilation Optimization.
ACM Trans. Design Autom. Electr. Syst., 2025
2024
ERA-BS: Boosting the Efficiency of ReRAM-Based PIM Accelerator With Fine-Grained Bit-Level Sparsity.
IEEE Trans. Computers, September, 2024
TokenRing: An Efficient Parallelism Framework for Infinite-Context LLMs via Bidirectional Communication.
CoRR, 2024
Phantom: Constraining Generative Artificial Intelligence Models for Practical Domain Specific Peripherals Trace Synthesizing.
CoRR, 2024
COMPASS: SRAM-Based Computing-in-Memory SNN Accelerator with Adaptive Spike Speculation.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024
SRender: Boosting Neural Radiance Field Efficiency via Sensitivity-Aware Dynamic Precision Rendering.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024
Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024
Proceedings of the 42nd IEEE International Conference on Computer Design, 2024
Proceedings of the 42nd IEEE International Conference on Computer Design, 2024
Proceedings of the 42nd IEEE International Conference on Computer Design, 2024
HOLES: Boosting Large Language Models Efficiency with Hardware-Friendly Lossless Encoding.
Proceedings of the 42nd IEEE International Conference on Computer Design, 2024
SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024
RTSA: An RRAM-TCAM based In-Memory-Search Accelerator for Sub-100 µs Collision Detection.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024
HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024
Proceedings of the 29th IEEE Asia Pacific Conference on Communications, 2024
2023
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information.
IEEE Trans. Parallel Distributed Syst., December, 2023
IEEE Trans. Intell. Transp. Syst., September, 2023
DTATrans: Leveraging Dynamic Token-Based Quantization With Accuracy Compensation Mechanism for Efficient Transformer Architecture.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2023
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023
SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023
PSQ: An Automatic Search Framework for Data-Free Quantization on PIM-based Architecture.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023
HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
CCF Trans. High Perform. Comput., 2022
L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022
Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Self-Terminating Write of Multi-Level Cell ReRAM for Efficient Neuromorphic Computing.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization.
ACM Trans. Reconfigurable Technol. Syst., 2021
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.
CoRR, 2021
Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021
Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
2020
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks.
CoRR, 2020
Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
2019
Proceedings of the Simulation Tools and Techniques - 11th International Conference, 2019
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
2018
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
2017
A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles.
Int. J. Distributed Sens. Networks, 2017