2025
AQRG: adaptive quantization reconstruction granularity for post-training quantization.
Neural Comput. Appl., July, 2025
LAMGCN:Traditional Chinese Medicine Herb Recommendation via LSTMs with Attention Mechanisms and Graph Convolutional Networks.
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2025
Efficient Number Theoretic Transform accelerator on the versal platform powered by the AI Engine.
Future Gener. Comput. Syst., 2025
2024
EA4RCA: Efficient AIE accelerator design framework for regular Communication-Avoiding Algorithm.
ACM Trans. Archit. Code Optim., December, 2024
Multi-index federated aggregation algorithm based on trusted verification.
CCF Trans. High Perform. Comput., December, 2024
An alliance chain-based incentive mechanism for PSG data sharing.
Peer Peer Netw. Appl., January, 2024
CAT: Customized Transformer Accelerator Framework on Versal ACAP.
CoRR, 2024
EA4RCA:Efficient AIE accelerator design framework for Regular Communication-Avoiding Algorithm.
CoRR, 2024
A Vision Transformer Inference Accelerator for KR260.
Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence, 2024
Research on AIE automatic generation strategy: A case of SpMM algorithm.
Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence, 2024
2023
A secure and efficient multi-domain data sharing model on consortium chain.
J. Supercomput., May, 2023
SA-BiSeNet: Swap attention bilateral segmentation network for real-time inland waterways segmentation.
IET Image Process., January, 2023
New Filter2D Accelerator on the Versal Platform Powered by the AI Engine.
Proceedings of the Advanced Parallel Processing Technologies, 2023
2022
LSFQ: A Low-Bit Full Integer Quantization for High-Performance FPGA-Based CNN Acceleration.
IEEE Micro, 2022
DPANet: Dual Pooling-aggregated Attention Network for fish segmentation.
IET Comput. Vis., 2022
2021
Multi-index Federated Aggregation Algorithm Based on Trusted Verification.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021
MSCU: Accelerating CNN Inference with Multiple Sizes of Compute Unit on FPGAs.
Proceedings of the 14th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2021
A Transformer Model-Based Approach to Bearing Fault Diagnosis.
Proceedings of the Data Science, 2021
LSFQ: A Low Precision Full Integer Quantization for High-Performance FPGA-Based CNN Acceleration.
Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2021
2020
Incorporating Lexicon for Named Entity Recognition of Traditional Chinese Medicine Books.
Proceedings of the Natural Language Processing and Chinese Computing, 2020
2019
Robustness of ToF and stereo fusion for high-accuracy depth map.
IET Comput. Vis., 2019
Using Distillation to Improve Network Performance after Pruning and Quantization.
Proceedings of the 2nd International Conference on Machine Learning and Machine Intelligence, 2019
An Auditable and Secure Model for Permissioned Blockchain.
Proceedings of the 2019 International Electronics Communication Conference, 2019
Multi-grained Pruning Method of Convolutional Neural Network.
Proceedings of the Data Science, 2019
2018
Task Scheduling of Data-Parallel Applications on HSA Platform.
Proceedings of the Data Science, 2018
Improved DES on Heterogeneous Multi-core Architecture.
Proceedings of the Data Science, 2018
2017
A new construction of fuzzy operator-attribute-based signcryption on VCC.
Int. J. Embed. Syst., 2017
An Implementation and Improvement of Convolutional Neural Networks on HSA Platform.
Proceedings of the Data Science, 2017
2016
A Strategy for Small Files Processing in HDFS.
Proceedings of the Social Computing, 2016
2014
A Fuzzy Operator-Attribute-Based Signcryption Scheme on Vehicular Clouds.
Proceedings of the International Conference on Identification, 2014