Gao Lab

[Dec 2022] I got a promotion to Associate Professor with tenure.

[Oct 2022] Jinzhu will join UT Arlington as a tenure-track faculty. Congratulations.

[Sep 2022] Our Book "Introduction to Networks of networks" is published online today. Congratulations to all co-authors.

[Aug 2022] Shlomo Havlin is going to visit us in December.

[Jun 2022] Our paper "A spatiotemporal decay model of human mobility when facing large-scale crises" has been accepted in PNAS, Congratulations to Weiyu.

[Jun 2022] Our paper "Estimating comparable distances to tipping points across mutualistic systems by scaled recovery rates" has been accepted in Nature Ecology & Evolution. Congratulations to Huixin.

[Mar 2022] Our paper "Network Resilience" has been accepted in Physics Reports. Congratulations Xueming and Manqing.

[Mar 2022] Chunheng Jiang defended his Ph.D. thesis titled MEAN-FIELD APPROACHES FOR NETWORK INFERENCE AND LEARNING. Congratulations.

[Mar 2022] Zhenhan Huang defended his Master's thesis titled NETWORK GRAPH BASED NEURAL ARCHITECTURE SEARCH. Congratulations.

[Mar 2022] Omar Malik defended his Ph.D. thesis titled CLASSICAL AND QUANTUM SPREADING PROCESSESON DISORDERED AND COMPLEX NETWORKS. Congratulations.

[Mar 2022] Our paper "Vaccination and three non-pharmaceutical interventions determine the dynamics of COVID-19 in the US " has been accepted in Humanities and Social Sciences Communications. Congratulations, Lu.

[Feb 2022] Our paper "Discrimination reveals reconstructability of multiplex networks from partial observations" has been accepted in Communications Physics. Congratulations, Mincheng.

[Feb 2022] Our paper "Identifying the shifting sources to predict the dynamics of COVID-19 in the U.S." has been accepted in Chaos. Congratulations, Yanchao.

[Feb 2022] Our paper "A Network Observability Framework for Sensor Placement in Flood Control Networks to Improve Flood Situational Awareness and Risk Management" has been published in Reliability Engineering & System Safety.

[Jan 2022] Our paper "Modest flooding can trigger catastrophic road network collapse due to compound failure" has been accepted for publication on Communications Earth & Environment. Congratulations to Shangjia.

[Jan 2022] Our paper "Reviving a failed network through microscopic interventions" has been published online in Nature Physics, Congratulations to Hillel. Thanks also to P. Desrosiers & X. Roy-Pomerleau for their excellent overview (One for all) https://go.nature.com/33tL1cF.

[Nov 2021] Our papers "Percolation of temporal hierarchical mobility networks during COVID-19" and "Data science approaches to confronting the COVID-19 pandemic: a narrative review" are online today. Congratulations to Haoyu He and Qingpeng Zhang. The first paper is featured as the cover story.

[Oct 2021] Thanks to IBM AIRCI to continue the support of our research on "Training Neural Network with Few-Shot Data and Applications to AI automation".

[Oct 2021] Our paper "Vaccination intentions generate racial disparities in the societal persistence of COVID-19" has been published in Scientific Reports, Congratulations Yanchao and Alina.

[Sep 2021] Our paper "Universality of noise-induced resilience restoration of ecological systems" has been accepted for publication in Communications Physics, Congratulations Cheng.

[Sep 2021] Our paper "From data to complex network control of airline flight delays" has been accepted for publication in the Scientific Reports, Congratulations Xiang and Chunheng.

[Aug 2021] Our paper "Nuclear Reaction Network Unveils Novel Reaction Patterns Based on Stellar Energies" has been accepted for publication in the New Journal of Physics, Congratulations Chunheng.

[July 2021] Our paper "Polarization and Tipping Points" has been accepted for publication on PNAS, Congratulations Manqing.

[June 2021] Thanks to COVID-19 Research Database for supporting our research "Harness network science to reduce treatment resource disparities and social disadvantage".

[June 2021] Our paper "High-resolution human mobility data reveal race and wealth disparities in disaster evacuation patterns" has been published on Humanities and Social Sciences Communications.

[April 2021] Thanks National Science Foundation for supporting our research on Network Resilience.

[Mar 2021] Our paper "Country distancing increase reveals the effectiveness of travel restrictions in stopping COVID-19 transmission" has been accepted on Communication Physics. Congratulations Lu Zhong.

[Mar 2021] Our paper "Concurrence Percolation in Quantum Networks" has been accepted on Physical Review Letters. Congratulations Xiangyi Meng.

[Mar 2021] Our paper "Heuristic assessment of choices for risk network control" has been accepted on Scientific Reports. Congratulations Xiang Niu.

[Nov 2020] Our paper "Robustness and lethality in multilayer biological molecular networks" has been published on Nature Communications. Congratulations Xueming Liu.

[Nov 2020] Our paper "Inferring Degrees from Incomplete Networks and Nonlinear Dynamics" has been published in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI). Congratulations Chunheng Jiang.

[Nov 2020] Our paper "True Nonlinear Dynamics from Incomplete Networks" has been published in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI Technical Track: AI and the Web). Congratulations Chunheng Jiang.

[Nov 2020] News release about "New COVID-19 Model Reveals Need for Better Travel Restriction Implementation".

[Aug 2020] Our paper "Nonlinear model of cascade failure in weighted complex networks considering overloaded edges" has been published on Scientific Reports. Congratulations Chaoyang Chen.

[Jul 2020] Our paper "Co-adaptation enhances the resilience of mutualistic networks" has been published in the Journal of the Royal Society Interface. Congratulations Huixin Zhang.

[Jul 2020] Our paper "Multiple metastable network states in urban traffic" has been published on PNAS. Congratulations Guanwen Zeng.

[Jun 2020] Thanks to IBM AIRCI to support our research on "Training Neural Network with Few-Shot Data and Applications to AI automation".