Jianxi Gao

Orcid: 0000-0002-3952-208X

According to our database1, Jianxi Gao authored at least 47 papers between 2009 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Advancing network resilience theories with symbolized reinforcement learning.
CoRR, July, 2025

Gradient Flow Matching for Learning Update Dynamics in Neural Network Training.
CoRR, May, 2025

CRAFT: Training-Free Cascaded Retrieval for Tabular QA.
CoRR, May, 2025

Less is More: Efficient Weight Farcasting with 1-Layer Neural Network.
CoRR, May, 2025

Forecasting Open-Weight AI Model Growth on Hugging Face.
CoRR, February, 2025

Differentiable Prompt Learning for Vision Language Models.
CoRR, January, 2025

Language Models Are Good Tabular Learners.
Trans. Mach. Learn. Res., 2025

Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis.
Trans. Mach. Learn. Res., 2025

Quantifying extreme failure scenarios in transportation systems with graph learning.
Patterns, 2025

Artificial Intelligence for Complex Network: Potential, Methodology and Application.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Epigraph Based Multilevel Optimization (EMO) for Enhancing Chain-of-Thought Reasoning Capabilities.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Modular Prompt Learning Improves Vision-Language Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Predicting Time Series of Networked Dynamical Systems without Knowing Topology.
CoRR, 2024

Optimizing Waste Management with Advanced Object Detection for Garbage Classification.
CoRR, 2024

Patient flow networks absorb healthcare stress during pandemic crises.
CoRR, 2024

Healthcare system resilience and adaptability to pandemic disruptions in the United States.
CoRR, 2024

Spatio-Temporal Graphical Counterfactuals: An Overview.
CoRR, 2024

On the Robustness of Language Models for Tabular Question Answering.
CoRR, 2024

Universal spatial inflation of human mobility.
CoRR, 2024

Graph is all you need? Lightweight data-agnostic neural architecture search without training.
CoRR, 2024

2023
Percolation Theories for Quantum Networks.
Entropy, November, 2023

Characterizing resilience of flood-disrupted dynamic transportation network through the lens of link reliability and stability.
Reliab. Eng. Syst. Saf., April, 2023

Reconstructing Sparse Multiplex Networks with Application to Covert Networks.
Entropy, January, 2023

Generalized dimension reduction approach for heterogeneous networked systems with time-delay.
CoRR, 2023

Learning Network Dynamics from Noisy Steady States.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
Dissecting lightning strike hazard impact patterns to National Airspace System facilities in the contiguous United States.
Comput. Environ. Urban Syst., 2022

A Network Observability Framework for Sensor Placement in Flood Control Networks to Improve Flood Situational Awareness and Risk Management.
Reliab. Eng. Syst. Saf., 2022

Bullwhip Effect of Supply Networks: Joint Impact of Network Structure and Market Demand.
CoRR, 2022

Reconstructing Sparse Illicit Supply Networks: A Case Study of Multiplex Drug Trafficking Networks.
CoRR, 2022

Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics.
CoRR, 2022

2021
Polarization and tipping points.
Proc. Natl. Acad. Sci. USA, 2021

Network Graph Based Neural Architecture Search.
CoRR, 2021

2020
Heuristic assessment of the economic effects of pandemic control.
CoRR, 2020

Inferring Degrees from Incomplete Networks and Nonlinear Dynamics.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

True Nonlinear Dynamics from Incomplete Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A novel network control model for identifying personalized driver genes in cancer.
PLoS Comput. Biol., 2019

Modeling competitive evolution of multiple languages.
CoRR, 2019

2018
Designing pinning network controllability for interdependent dynamical networks.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
The Co-Evolution Model for Social Network Evolving and Opinion Migration.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2011
Study on robust H<sub>∞</sub> filtering in networked environments.
Int. J. Autom. Comput., 2011

Robustness of a Tree-like Network of Interdependent Networks
CoRR, 2011

2010
Robustness of a Network of Networks
CoRR, 2010

Robustness of interdependent networks under targeted attack
CoRR, 2010

2009
An Approach to Enhance Convergence Efficiency of Self-propelled Agent System.
Proceedings of the Complex Sciences, 2009

Evolutionary Prisoner's Dilemma Game in Flocks.
Proceedings of the Complex Sciences, 2009


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