PhD, National University of Singapore (2013)

Adjunct Assistant Professor
Email : phyfeng@nus.edu.sg or fengl@ihpc.a-star.edu.sg

Current Research

Complex Networks and critical phase transitions

  • Criticality in deep neural networks.
  • Complex network theories.
  • Spreading/resilience on social/economic networks.

Selected Publications

  1. J Sun, L Feng, J Xie et al. Revealing the predictability of intrinsic structure in complex networks. Nature Communications 11, 574 (2020).

  2. Y Hu, S Ji, Y Jin,L Feng, H E Stanley & S Havlin. Local structure can identify and quantify influential global spreaders in large scale social networks. Proceedings of the National Academy of Sciences (PNAS), 115, 29 (2018).

  3. S Ma, L Feng*, C P Monterola, C H Lai, Importance of small degree nodes in Assortative Network with Degree-Weight Correlations, Physical Review E (2017).

  4. L Feng, C P Monterola, Y Hu, The simplified self-consistent probabilities method for percolation and its application to interdependent networks, New Journal of Physics 17.6 (2015): 063025.

  5. L Feng, Y Hu, B Li, H. E Stanley, S Havlin, L A. Braunstein, Competing for Attention in Social Media under Information Overload Conditions, PLoS One, PLoS ONE 10(7): e0126090, (2015).

  6. L Feng, B Li, B Podobnik, T Preis, H E Stanley, Linking Agent-based Models and Stochastic Models of Financial Markets. Proceedings of the National Academy of Sciences (PNAS), 109(22), 2012.

Affiliations & Links

  • Scientist, Institute of High Performance Computing (A*STAR)