Yongbiao Chen

21 papers A* 5A 2B 3C 2Misc 1Journal 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
ERA-BS: Boosting the Efficiency of ReRAM-Based PIM Accelerator With Fine-Grained Bit-Level Sparsity.
IEEE Trans. Computers
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Xiaoyao Liang, Li Jiang
2024 J jnl
Exploiting Temporal-Unrolled Parallelism for Energy-Efficient SNN Acceleration.
IEEE Trans. Parallel Distributed Syst.
Fangxin Liu, Zongwu Wang, Wenbo Zhao, Ning Yang, Yongbiao Chen, Shiyuan Huang, Haomin Li, Tao Yang, Songwen Pei, Xiaoyao Liang, Li Jiang
2023 J jnl
DVHN: A Deep Hashing Framework for Large-Scale Vehicle Re-Identification.
IEEE Trans. Intell. Transp. Syst.
Yongbiao Chen, Sheng Zhang, Fangxin Liu, Chenggang Wu, Kaicheng Guo, Zhengwei Qi
2023 A* conf
HyperAttack: An Efficient Attack Framework for HyperDimensional Computing.
DAC
Fangxin Liu, Haomin Li, Yongbiao Chen, Tao Yang, Li Jiang
2023 J jnl
SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang
2022 J jnl
DSPR: Secure decentralized storage with proof-of-replication for edge devices.
J. Syst. Archit.
Chenggang Wu, Yongbiao Chen, Zhengwei Qi, Haibing Guan
2022 Misc conf
DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks.
ICASSP
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Fei Dai
2022 A* conf
EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks.
DAC
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2022 A* conf
PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration.
DAC
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang
2022 C conf
Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs.
ICCD
Fangxin Liu, Zongwu Wang, Wenbo Zhao, Yongbiao Chen, Tao Yang, Xiaokang Yang, Li Jiang
2022 A* conf
SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture.
DAC
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang
2022 A* conf
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks.
AAAI
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang
2022 B conf
Supervised Contrastive Vehicle Quantization for Efficient Vehicle Retrieval.
ICMR
Yongbiao Chen, Kaicheng Guo, Fangxin Liu, Yusheng Huang, Zhengwei Qi
2022 B conf
TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval.
ICMR
Yongbiao Chen, Sheng Zhang, Fangxin Liu, Zhigang Chang, Mang Ye, Zhengwei Qi
2021 A conf
Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator.
ICCAD
Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, Li Jiang
2021 J jnl
DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification.
CoRR
Yongbiao Chen, Sheng Zhang, Fangxin Liu, Chenggang Wu, Kaicheng Guo, Zhengwei Qi
2021 A conf
Non-Local Attention Learning for Medical Image Classification.
ICME
Yang Wen, Leiting Chen, Haisheng Chen, Ximan Tang, Yu Deng, Yongbiao Chen, Chuan Zhou
2021 C conf
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification.
VCIP
Zhigang Chang, Zhao Yang, Yongbiao Chen, Qin Zhou, Shibao Zheng
2021 J jnl
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification.
CoRR
Zhigang Chang, Zhao Yang, Yongbiao Chen, Qin Zhou, Shibao Zheng
2021 J jnl
TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval.
CoRR
Yongbiao Chen, Sheng Zhang, Fangxin Liu, Zhigang Chang, Mang Ye, Zhengwei Qi
2020 B conf
MAENet: Boosting Feature Representation for Cross-Modal Person Re-Identification with Pairwise Supervision.
ICMR
Yongbiao Chen, Sheng Zhang, Zhengwei Qi