Rui Luo

According to our database, Rui Luo authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Conformal load prediction with transductive graph autoencoders.

Rui Luo, Nicolò Colombo

Mach. Learn., March, 2025

Enhanced route planning with calibrated uncertainty set.

Lingxuan Tang, Rui Luo, Zhixin Zhou, Nicolò Colombo

Mach. Learn., 2025

Correction to: Conformal load prediction with transductive graph autoencoders.

Rui Luo, Nicolò Colombo

Mach. Learn., 2025

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training.

Ting Wang, Zhixin Zhou, Rui Luo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Conformal Thresholded Intervals for Efficient Regression.

Rui Luo, Zhixin Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Conformalized Interval Arithmetic with Symmetric Calibration.

Rui Luo, Zhixin Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models.

Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy

IEEE Trans. Comput. Soc. Syst., December, 2024

Fréchet-Statistics-Based Change Point Detection in Dynamic Social Networks.

Rui Luo, Vikram Krishnamurthy

IEEE Trans. Comput. Soc. Syst., April, 2024

Entropy Reweighted Conformal Classification.

Rui Luo, Nicolò Colombo

Proceedings of the 13th Symposium on Conformal and Probabilistic Prediction with Applications, 2024

Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistic.

Rui Luo, Vikram Krishnamurthy

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Fréchet Statistics Based Change Point Detection in Multivariate Hawkes Process.

Rui Luo, Vikram Krishnamurthy

CoRR, 2023

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

Rui Luo, Vikram Krishnamurthy

CoRR, 2023

Anomalous Edge Detection in Edge Exchangeable Social Network Models.

Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

Controlling Segregation in Social Network Dynamics as an Edge Formation Game.

Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy

IEEE Trans. Netw. Sci. Eng., 2022

Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation.

Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy

IEEE Trans. Comput. Soc. Syst., 2022

Hawkes Process Modeling of Block Arrivals in Bitcoin Blockchain.

Rui Luo, Vikram Krishnamurthy, Erik Blasch

CoRR, 2022

Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks.

Rui Luo, Vikram Krishnamurthy

CoRR, 2022

2021

Segregation in Social Networks: MARKOV Bridge Models and Estimation.

Vikram Krishnamurthy, Rui Luo, Buddhika Nettasinghe

Proceedings of the IEEE International Conference on Acoustics, 2021