Standout Papers

Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Netw... 2016 2026 2019 2022 443
  1. Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks (2016)
    Wentao Zhu, Cuiling Lan et al. Proceedings of the AAAI Conference on Artificial Intelligence
  2. A Sufficient Condition for Convergences of Adam and RMSProp (2019)
    Fangyu Zou, Li Shen et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology)

Immediate Impact

3 from Science/Nature 64 standout
Sub-graph 1 of 20

Citing Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities
2025 Standout
Emerging opportunities and challenges for the future of reservoir computing
2024 Standout
2 intermediate papers

Works of Li Shen being referenced

Prediction of Online Psychological Help-Seeking Behavior During the COVID-19 Pandemic: An Interpretable Machine Learning Method
2022
Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks
2016 Standout

Author Peers

Author Last Decade Papers Cites
Li Shen 855 697 677 786 131 3.3k
R.J. Kuo 1387 352 1393 811 134 4.8k
Matthias Ehrgott 999 212 1706 717 142 6.8k
Erfan Babaee Tırkolaee 537 283 1003 1889 179 5.5k
Soundar Kumara 1167 319 360 666 161 6.9k
Guangdong Tian 540 179 821 1095 131 5.9k
Othman Ibrahim 1027 303 527 333 101 4.1k
Andrew Lim 593 308 886 465 264 7.2k
Shu‐Cherng Fang 833 319 1504 276 223 4.4k
W.H. Ip 608 287 743 843 325 5.1k
Adil Baykasoğlu 1533 161 1219 713 207 7.1k

All Works

Loading papers...

Rankless by CCL
2026