Publications

DeepLogit: A sequentially constrained explainable deep learning modeling approach for transport policy analysis
J Oon, RM Mepparambath, L Feng
arXiv preprint arXiv:2509.13633, 2025
Multiple Descents in Deep Learning as a Sequence of Order-Chaos Transitions
W Wei, NCJ Le, CH Lai, L Feng
arXiv preprint arXiv:2505.20030, 2025
Self-organization toward 1/f noise in deep neural networks
NJL Chong, L Feng
Chaos: An Interdisciplinary Journal of Nonlinear Science 34 (8), 2024
Reconstructing the evolution history of networked complex systems
J Wang, YJ Zhang, C Xu, J Li, J Sun, J Xie, L Feng, T Zhou, Y Hu
Nature Communications 15 (1), 2849, 2024
Asymptotic Edge of Chaos as Guiding Principle for Neural Network Training
L Zhang, L Feng, K Chen, CH Lai
International Journal of Artificial Intelligence and Robotics Research 1 (01 …, 2024
Understanding the impact of network structure on air travel pattern at different scales
HN Huynh, KL Ng, R Toh, L Feng
PLoS One 19 (3), e0299897, 2024
The impact of COVID-19 pandemic on the fundamental urban mobility theories using transit data from Singapore
RM Mepparambath, HN Huynh, J Oon, J Song, R Zhu, L Feng
Transportation Research Interdisciplinary Perspectives 21, 100883, 2023
Identify hidden spreaders of pandemic over contact tracing networks
S Huang, J Sun, L Feng, J Xie, D Wang, Y Hu
Scientific reports 13 (1), 11621, 2023
Estimation of urban-scale photovoltaic potential: A deep learning-based approach for constructing three-dimensional building models from optical remote sensing imagery
L Yan, R Zhu, MP Kwan, W Luo, D Wang, S Zhang, MS Wong, L You, ...
Sustainable Cities and Society 93, 104515, 2023
Long range memory in deep neural networks' neural activations
L Feng, NJ Le Chong
APS March Meeting 2022, 2022
Indirect influence in social networks as an induced percolation phenomenon
J Xie, X Wang, L Feng, JH Zhao, W Liu, Y Moreno, Y Hu
Proceedings of the National Academy of Sciences 119 (9), e2100151119, 2022
Behavioral structure of users in cryptocurrency market
AT Aspembitova, L Feng, LY Chew
Plos one 16 (1), e0242600, 2021
Predicting Deep Learning Model Generalization Using Asymptotic Stability
L Zhang, S Li, L Feng
"Predicting Generalization in Deep Learning" Competition at NeurIPS 2020 …, 2020
Revealing the predictability of intrinsic structure in complex networks
J Sun, L Feng, J Xie, X Ma, D Wang, Y Hu
Nature communications 11 (1), 574, 2020
Optimal machine intelligence near the edge of chaos
L Feng, CH Lai
https://arxiv.org/abs/1909.05176, 2019
Nontrivial resource requirement in the early stage for containment of epidemics
X Chen, T Zhou, L Feng, J Liang, F Liljeros, S Havlin, Y Hu
Physical review E 100 (3), 032310, 2019
Fitness preferential attachment as a driving mechanism in bitcoin transaction network
A Aspembitova, L Feng, V Melnikov, LY Chew
PloS one 14 (8), e0219346, 2019
Extreme risk induced by communities in interdependent networks
J Sun, R Zhang, L Feng, C Monterola, X Ma, C Rozenblat, HE Stanley, ...
Communications physics 2 (1), 45, 2019
EMRShare: A cross-organizational medical data sharing and management framework using permissioned blockchain
Z Xiao, Z Li, Y Liu, L Feng, W Zhang, T Lertwuthikarn, RSM Goh
2018 IEEE 24th International Conference on Parallel and Distributed Systems …, 2018
Optimal fee structure for efficient lightning networks
AHJ Ren, L Feng, SA Cheong, RSM Goh
2018 IEEE 24th International Conference on Parallel and Distributed Systems …, 2018
Inconsistencies among spectral robustness metrics
X Wang, L Feng, RE Kooij, JL Marzo
International Conference on Heterogeneous Networking for Quality …, 2018
Mechanistic modelling of viral spreading on empirical social network and popularity prediction
S Ma, L Feng, CH Lai
Scientific reports 8 (1), 13126, 2018
Local structure can identify and quantify influential global spreaders in large scale social networks
Y Hu, S Ji, Y Jin, L Feng, HE Stanley, S Havlin
Proceedings of the National Academy of Sciences 115 (29), 7468-7472, 2018
Predicting the global spread range via small subnetworks
J Sun, J Dong, X Ma, L Feng, Y Hu
Europhysics Letters 118 (2), 28004, 2017
Importance of small-degree nodes in assortative networks with degree-weight correlations
CH Lai
Physical review. E, 2017
Exacerbated vulnerability of coupled socio-economic risk in complex networks
X Zhang, L Feng, Y Berman, N Hu, HE Stanley
Europhysics Letters 116 (1), 18001, 2016
Linking market interaction intensity of 3D Ising type financial model with market volatility
W Fang, J Ke, J Wang, L Feng
Physica A: Statistical Mechanics and its Applications 461, 531-542, 2016
Power spectrum analysis for classification of heart sound recording
SK Teo, B Yang, L Feng, Y Su
2016 Computing in Cardiology Conference (CinC), 1169-1172, 2016
HEART RATE COMPLEXITY MAY PREDICT ADVERSE CARDIOVASCULAR OUTCOMES IN PATIENTS WITH ACUTE CORONARY SYNDROME
G Ng, R Kaur, F Ling, TW Lim
Journal of the American College of Cardiology 67 (13S), 501-501, 2016
Applying temporal network analysis to the venture capital market
X Zhang, L Feng, R Zhu, HE Stanley
The European Physical Journal B 88 (10), 260, 2015
Reducing false arrhythmia alarms in the ICU
SK Teo, JC Wong, B Yang, F Yang, L Feng, TW Lim, Y Su
2015 Computing in Cardiology Conference (CinC), 1177-1180, 2015
Competing for attention in social media under information overload conditions
L Feng, Y Hu, B Li, HE Stanley, S Havlin, LA Braunstein
PloS one 10 (7), e0126090, 2015
The simplified self-consistent probabilities method for percolation and its application to interdependent networks
L Feng, CP Monterola, Y Hu
New Journal of Physics 17 (6), 063025, 2015
Systemic risk in dynamical networks with stochastic failure criterion
B Podobnik, D Horvatic, MA Bertella, L Feng, X Huang, B Li
Europhysics letters 106 (6), 68003, 2014
Confidence and the stock market: An agent-based approach
MA Bertella, FR Pires, L Feng, HE Stanley
PloS one 9 (1), e83488, 2014
Changes in cross-correlations as an indicator for systemic risk
Z Zheng, B Podobnik, L Feng, B Li
Scientific reports 2 (1), 888, 2012
Linking agent-based models and stochastic models of financial markets
L Feng, B Li, B Podobnik, T Preis, HE Stanley
Proceedings of the National Academy of Sciences 109 (22), 8388-8393, 2012
Multiple Descents in Deep Learning as a Sequence of Order-Chaos Transitions
NJ Le Chong, CH LAI, L Feng
AI4X 2025 International Conference, 0
Estimation of Building-Integrated Photovoltaic Potential: A Deep Learning Based Approach for Constructing Three-Dimensional Building Models from Satellite Imagery
L Yan, R Zhu, MP Kwan, W Luo, D Wang, S Zhang, MS Wong, L You, ...
Available at SSRN 4330191, 0