Rui Luo

Orcid: 0000-0003-0711-8039

Affiliations:
  • City University of Hong Kong, Hong Kong
  • Cornell University, Ithaca, NY, USA (PhD)


According to our database1, Rui Luo authored at least 41 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Robust Traffic Forecasting With Disentangled Spatiotemporal Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., June, 2026

Cybersecurity in Cyber-Physical Systems: Wireless Jamming Attack Detection in Noisy LoRaWAN Environment.
ACM Trans. Cyber Phys. Syst., April, 2026

Co-optimization for Adaptive Conformal Prediction.
CoRR, March, 2026

Mitigating Misinformation Spread in Blockchain-Based Online Social Networks.
IEEE Trans. Comput. Soc. Syst., February, 2026

Normalized Least Mean M-Estimator for Adaptive Graph Signal Recovery.
IEEE Trans. Signal Inf. Process. over Networks, 2026

Game-Theoretic Defenses for Adversarially Robust Conformal Prediction.
Trans. Mach. Learn. Res., 2026

Density-sorted prediction set: Efficient conformal prediction for multi-target regression.
Pattern Recognit., 2026

Reliable classification through rank-based conformal prediction sets.
Pattern Recognit., 2026

Graph online change point detection based on fréchet statistics.
Neurocomputing, 2026

Fast Conformal Prediction Using Conditional Interquantile Intervals.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Conditional Conformal Risk Adaptation.
CoRR, April, 2025

Conformal load prediction with transductive graph autoencoders.
Mach. Learn., March, 2025

Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression.
CoRR, March, 2025

Enhanced route planning with calibrated uncertainty set.
Mach. Learn., 2025

Correction to: Conformal load prediction with transductive graph autoencoders.
Mach. Learn., 2025

Residual Reweighted Conformal Prediction for Graph Neural Networks.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Enhancing Medical Robotic Vision with Uncertainty-Aware AI: A Conformalized Segmentation Approach for Reliable Diagnosis.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Conformity Score Averaging for Classification.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Review and Comparative Analysis of Univariate Conformal Regression Methods.
Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025

Predicting Gene Regulatory Relationship in Cancer Using LLM and Graph Neural Network from Known Regulations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Conformal Thresholded Intervals for Efficient Regression.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Conformalized Interval Arithmetic with Symmetric Calibration.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models.
IEEE Trans. Comput. Soc. Syst., December, 2024

Fréchet-Statistics-Based Change Point Detection in Dynamic Social Networks.
IEEE Trans. Comput. Soc. Syst., April, 2024

Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation.
CoRR, 2024

Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging.
CoRR, 2024

Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models.
CoRR, 2024

Weighted Aggregation of Conformity Scores for Classification.
CoRR, 2024

Trustworthy Classification through Rank-Based Conformal Prediction Sets.
CoRR, 2024

Entropy Reweighted Conformal Classification.
Proceedings of the 13th Symposium on Conformal and Probabilistic Prediction with Applications, 2024

Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistic.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
Fréchet Statistics Based Change Point Detection in Multivariate Hawkes Process.
CoRR, 2023

Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution.
CoRR, 2023

Anomalous Edge Detection in Edge Exchangeable Social Network Models.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022
Controlling Segregation in Social Network Dynamics as an Edge Formation Game.
IEEE Trans. Netw. Sci. Eng., 2022

Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation.
IEEE Trans. Comput. Soc. Syst., 2022

Hawkes Process Modeling of Block Arrivals in Bitcoin Blockchain.
CoRR, 2022

Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks.
CoRR, 2022

2021
Segregation in Social Networks: MARKOV Bridge Models and Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2021


  Loading...