| Improving neural network efficiency via post-training quantization with adaptive floating-point F Liu, W Zhao, Z He, Y Wang, Z Wang, C Dai, X Liang, L Jiang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 39 | 2021 |
| SSTDP: Supervised spike timing dependent plasticity for efficient spiking neural network training F Liu, W Zhao, Y Chen, Z Wang, T Yang, L Jiang Frontiers in Neuroscience 15, 756876, 2021 | 38 | 2021 |
| Transhash: Transformer-based hamming hashing for efficient image retrieval Y Chen, S Zhang, F Liu, Z Chang, M Ye, Z Qi Proceedings of the 2022 international conference on multimedia retrieval …, 2022 | 37 | 2022 |
| Spikeconverter: An efficient conversion framework zipping the gap between artificial neural networks and spiking neural networks F Liu, W Zhao, Y Chen, Z Wang, L Jiang Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1692-1701, 2022 | 34 | 2022 |
| PIMGCN: A ReRAM-based PIM design for graph convolutional network acceleration T Yang, D Li, Y Han, Y Zhao, F Liu, X Liang, Z He, L Jiang 2021 58th ACM/IEEE Design Automation Conference (DAC), 583-588, 2021 | 23 | 2021 |
| Bit-transformer: Transforming bit-level sparsity into higher preformance in reram-based accelerator F Liu, W Zhao, Z He, Z Wang, Y Zhao, Y Chen, L Jiang 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 17 | 2021 |
| Sme: Reram-based sparse-multiplication-engine to squeeze-out bit sparsity of neural network F Liu, W Zhao, Z He, Z Wang, Y Zhao, T Yang, J Feng, X Liang, L Jiang 2021 IEEE 39th International Conference on Computer Design (ICCD), 417-424, 2021 | 17 | 2021 |
| A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles M He, F Liu, Z Miao, H Zhou, Q Chen International Journal of Distributed Sensor Networks 13 (1), 1550147716686979, 2017 | 15 | 2017 |
| Dynsnn: A dynamic approach to reduce redundancy in spiking neural networks F Liu, W Zhao, Y Chen, Z Wang, F Dai ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 11 | 2022 |
| IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration F Liu, W Zhao, Z Wang, T Yang, L Jiang Proceedings of the 2021 on Great Lakes Symposium on VLSI, 253-258, 2021 | 11 | 2021 |
| L3e-hd: A framework enabling efficient ensemble in high-dimensional space for language tasks F Liu, H Li, X Yang, L Jiang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 9 | 2022 |
| DTQAtten: Leveraging dynamic token-based quantization for efficient attention architecture T Yang, D Li, Z Song, Y Zhao, F Liu, Z Wang, Z He, L Jiang 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 700-705, 2022 | 9 | 2022 |
| IVQ: In-memory acceleration of DNN inference exploiting varied quantization F Liu, W Zhao, Z Wang, Y Zhao, T Yang, Y Chen, L Jiang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 7 | 2022 |
| Sato: spiking neural network acceleration via temporal-oriented dataflow and architecture F Liu, W Zhao, Z Wang, Y Chen, T Yang, Z He, X Yang, L Jiang Proceedings of the 59th ACM/IEEE Design Automation Conference, 1105-1110, 2022 | 6 | 2022 |
| DTATrans: Leveraging dynamic token-based quantization with accuracy compensation mechanism for efficient transformer architecture T Yang, F Ma, X Li, F Liu, Y Zhao, Z He, L Jiang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 6 | 2022 |
| Pasgcn: An reram-based pim design for gcn with adaptively sparsified graphs T Yang, D Li, F Ma, Z Song, Y Zhao, J Zhang, F Liu, L Jiang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 6 | 2022 |
| HAWIS: Hardware-Aware automated WIdth Search for accurate, energy-efficient and robust binary neural network on ReRAM dot-product engine Q Tang, Z He, F Liu, Z Wang, Y Zhou, Y Zhang, L Jiang 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 226-231, 2022 | 6 | 2022 |
| PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration F Liu, W Zhao, Y Chen, Z Wang, Z He, R Yang, Q Tang, T Yang, C Zhuo, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1087-1092, 2022 | 5 | 2022 |
| Hyperattack: An efficient attack framework for hyperdimensional computing F Liu, H Li, Y Chen, T Yang, L Jiang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 4 | 2023 |
| BISWSRBS: A winograd-based CNN accelerator with a fine-grained regular sparsity pattern and mixed precision quantization T Yang, Z He, T Kou, Q Li, Q Han, H Yu, F Liu, Y Liang, L Jiang ACM Transactions on Reconfigurable Technology and Systems (TRETS) 14 (4), 1-28, 2021 | 4 | 2021 |
