Yongbiao Chen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Integer Arithmetic

Efficient Processing

Feature Representation

Top Venues

Publications

Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Xiaoyao Liang, Li Jiang
ERA-BS: Boosting the Efficiency of ReRAM-Based PIM Accelerator With Fine-Grained Bit-Level Sparsity. IEEE Trans. Computers 73 (9) (2024)
Yongbiao Chen, Sheng Zhang, Fangxin Liu, Chenggang Wu, Kaicheng Guo, Zhengwei Qi
DVHN: A Deep Hashing Framework for Large-Scale Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. 24 (9) (2023)
Fangxin Liu, Haoming Li, Yongbiao Chen, Tao Yang, Li Jiang
HyperAttack: An Efficient Attack Framework for HyperDimensional Computing. DAC (2023)
Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang
SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Fangxin Liu, Zongwu Wang, Wenbo Zhao, Yongbiao Chen, Tao Yang, Xiaokang Yang, Li Jiang
Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs. ICCD (2022)
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks. DAC (2022)
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang
SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture. DAC (2022)
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks. AAAI (2022)
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang
PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration. DAC (2022)
Yongbiao Chen, Kaicheng Guo, Fangxin Liu, Yusheng Huang, Zhengwei Qi
Supervised Contrastive Vehicle Quantization for Efficient Vehicle Retrieval. ICMR (2022)
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Fei Dai
DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks. ICASSP (2022)
Yongbiao Chen, Sheng Zhang, Fangxin Liu, Zhigang Chang, Mang Ye, Zhengwei Qi
TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval. ICMR (2022)
Chenggang Wu, Yongbiao Chen, Zhengwei Qi, Haibing Guan
DSPR: Secure decentralized storage with proof-of-replication for edge devices. J. Syst. Archit. 125 (2022)
Yang Wen, Leiting Chen, Haisheng Chen, Ximan Tang, Yu Deng, Yongbiao Chen, Chuan Zhou
Non-Local Attention Learning for Medical Image Classification. ICME (2021)
Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, Li Jiang
Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator. ICCAD (2021)
Zhigang Chang, Zhao Yang, Yongbiao Chen, Qin Zhou, Shibao Zheng
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification. CoRR (2021)
Zhigang Chang, Zhao Yang, Yongbiao Chen, Qin Zhou, Shibao Zheng
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification. VCIP (2021)
Yongbiao Chen, Sheng Zhang, Fangxin Liu, Chenggang Wu, Kaicheng Guo, Zhengwei Qi
DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification. CoRR (2021)
Yongbiao Chen, Sheng Zhang, Fangxin Liu, Zhigang Chang, Mang Ye, Zhengwei Qi
TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval. CoRR (2021)
Yongbiao Chen, Sheng Zhang, Zhengwei Qi
MAENet: Boosting Feature Representation for Cross-Modal Person Re-Identification with Pairwise Supervision. ICMR (2020)