Publications

Jiajun Wu, Mo Song, Jingmin Zhao, Hayden So (2024). A Case for Low Bitwidth Floating Point Arithmetic on FPGA for Transformer Based DNN Inference. In IPDPSW 2024.

Mo Song, Jiajun Wu, Yuhao Ding, Hayden So (2024). SqueezeBlock: A Transparent Weight Compression Scheme for Deep Neural Networks. In ICFPT 2023.

Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden So, Ngai Wong (2023). DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. In TCAD.

Jiajun Wu, Jiajun Zhou, Yizhao Gao, Yuhao Ding, Ngai Wong, Hayden So (2023). MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources. In FCCM 2023.

Yuhao Ding, Jiajun Wu, Yizhao Gao, Maolin Wang, Hayden So (2023). Model-Platform Optimized Deep Neural Network Accelerator Generation through Mixed-integer Geometric Programming. In FCCM 2023.

Bingqiang Liu, Ziyuan Wen, Hongling Zhu, Jinsheng Lai, Jiajun Wu, Heng Ping, Wenqing Liu, Guoyi Yu, Jianming Zhang, Zuozhu Liu, Hesong Zeng, Chao Wang (2022). Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network. In IEEE ISCAS 2022.

Jiajun Wu, Xuan Huang, Le Yang, Jipeng Wang, Bingqiang Liu, Ziyuan Wen, Juhui Li, Guoyi Yu, Kwen-Siong Chong, Chao Wang (2021). An Energy-efficient Deep Belief Network Processor Based on Heterogeneous Multi-core Architecture with Transposable Memory and On-chip Learning. In IEEE JETCAS.

Qianjin Wang, Yi Zhan, Bingqiang Liu, Jiajun Wu, Youhua Shi, Guoyi Yu, Chao Wang (2021). A Reconfigurable Area and Energy Efficient Hardware Accelerator of Five High-order Operators for Vision Sensor Based Robot Systems. In IEEE ICTA 2021.

Jiarui Xu, Yi Zhan, Yujie Li, Jiajun Wu, Xinglong Ji, Guoyi Yu, Wenyu Jiang, Rong Zhao, Chao Wang (2021). In Situ Aging-Aware Error Monitoring Scheme for IMPLY-Based Memristive Computing-in-Memory Systems. In IEEE TCAS-I.

Jiajun Wu, Yi Zhan, Zixuan Peng, Xinglong Ji, Guoyi Yu, Rong Zhao, Chao Wang (2021). Efficient Design of Spiking Neural Network with STDP Learning Based on Fast CORDIC. In TCAS-I.

Jiajun Wu, Xuan Huang, Le Yang, Liang Wang, Jipeng Wang, Zuozhu Liu, Kwen-Siong Chong, Shaowei Lin, Chao Wang (2020). An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity. In A-SSCC 2020.

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