Yongbiao Chen

According to our database, Yongbiao Chen authored at least 16 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DVHN: A Deep Hashing Framework for Large-Scale Vehicle Re-Identification.

Yongbiao Chen, Sheng Zhang, Fangxin Liu, Chenggang Wu, Kaicheng Guo, Zhengwei Qi

IEEE Trans. Intell. Transp. Syst., September, 2023

SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator.

Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

HyperAttack: An Efficient Attack Framework for HyperDimensional Computing.

Fangxin Liu, Haoming Li, Yongbiao Chen, Tao Yang, Li Jiang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

DSPR: Secure decentralized storage with proof-of-replication for edge devices.

Chenggang Wu, Yongbiao Chen, Zhengwei Qi, Haibing Guan

J. Syst. Archit., 2022

TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval.

Yongbiao Chen, Sheng Zhang, Fangxin Liu, Zhigang Chang, Mang Ye, Zhengwei Qi

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Supervised Contrastive Vehicle Quantization for Efficient Vehicle Retrieval.

Yongbiao Chen, Kaicheng Guo, Fangxin Liu, Yusheng Huang, Zhengwei Qi

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.

Fangxin Liu, Zongwu Wang, Wenbo Zhao, Yongbiao Chen, Tao Yang, Xiaokang Yang, Li Jiang

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks.

Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Fei Dai

Proceedings of the IEEE International Conference on Acoustics, 2022

SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture.

Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang

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.

Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration.

Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks.

Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification.

Zhigang Chang, Zhao Yang, Yongbiao Chen, Qin Zhou, Shibao Zheng

Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Non-Local Attention Learning for Medical Image Classification.

Yang Wen, Leiting Chen, Haisheng Chen, Ximan Tang, Yu Deng, Yongbiao Chen, Chuan Zhou

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator.

Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, Li Jiang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

2020

MAENet: Boosting Feature Representation for Cross-Modal Person Re-Identification with Pairwise Supervision.

Yongbiao Chen, Sheng Zhang, Zhengwei Qi

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020