BurstSketch: Finding Bursts in Data Streams. - Zheng Zhong; Shen Yan 004; Zikun Li; Decheng Tan; Tong Yang 003; Bin Cui 001 (SIGMOD Conference, 2021)

Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. - Qingyan Meng; Mingqing Xiao 002; Shen Yan 004; Yisen Wang 001; Zhouchen Lin; Zhi-Quan Luo (CVPR, 2022)

Training much deeper spiking neural networks with a small number of time-steps. - Qingyan Meng; Shen Yan 004; Mingqing Xiao 002; Yisen Wang 001; Zhouchen Lin; Zhi-Quan Luo (Neural Networks, 2022)

Elastic Bloom Filter: Deletable and Expandable Filter Using Elastic Fingerprints. - Yuhan Wu 001; Jintao He; Shen Yan 004; Jianyu Wu; Tong Yang 003; Olivier Ruas; Gong Zhang 001; Bin Cui 001 (IEEE Trans. Computers, 2022)

Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. - Qingyan Meng; Mingqing Xiao 002; Shen Yan 004; Yisen Wang 001; Zhouchen Lin; Zhi-Quan Luo (ICCV, 2023)

Sampling complex topology structures for spiking neural networks. - Shen Yan 004; Qingyan Meng; Mingqing Xiao 002; Yisen Wang 001; Zhouchen Lin (Neural Networks, 2024)

TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice. - Shen Yan 004; Xingyan Bin; Sijun Zhang; Yisen Wang 001; Zhouchen Lin (ICLR, 2025)