Rui Luo - RankMe

52 papers A* 6A 1Misc 1Journal 39Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Co-optimization for Adaptive Conformal Prediction. CoRR Xiaoyi Su, Zhixin Zhou, Rui Luo
2026	J	`jnl`	Density-sorted prediction set: Efficient conformal prediction for multi-target regression. Pattern Recognit. Rui Luo, Zhixin Zhou
2026	A*	`conf`	Fast Conformal Prediction Using Conditional Interquantile Intervals. AAAI Naixin Guo, Rui Luo, Zhixin Zhou
2026	J	`jnl`	Fast Conformal Prediction using Conditional Interquantile Intervals. CoRR Naixin Guo, Rui Luo, Zhixin Zhou
2026	J	`jnl`	Game-Theoretic Defenses for Adversarially Robust Conformal Prediction. Trans. Mach. Learn. Res. Rui Luo, Jie Bao, Suqun Cao, Chuangyin Dang, Zhixin Zhou
2026	J	`jnl`	Graph online change point detection based on fréchet statistics. Neurocomputing Rui Luo, Jie Bao, Hing Cheung So, Suqun Cao, Mengqiao Xu
2026	J	`jnl`	Mitigating Misinformation Spread in Blockchain-Based Online Social Networks. IEEE Trans. Comput. Soc. Syst. Rui Luo, Vikram Krishnamurthy
2026	J	`jnl`	Normalized Least Mean M-Estimator for Adaptive Graph Signal Recovery. IEEE Trans. Signal Inf. Process. over Networks Pengxing Feng, Hing Cheung So, Rui Luo
2026	J	`jnl`	Reliable classification through rank-based conformal prediction sets. Pattern Recognit. Rui Luo, Zhixin Zhou
2025	—	`conf`	A Review and Comparative Analysis of Univariate Conformal Regression Methods. COPA Jie Bao, Nicolò Colombo, Valery Manokhin, Suqun Cao, Rui Luo
2025	J	`jnl`	Conditional Conformal Risk Adaptation. CoRR Rui Luo, Zhixin Zhou
2025	A*	`conf`	Conformal Thresholded Intervals for Efficient Regression. AAAI Rui Luo, Zhixin Zhou
2025	J	`jnl`	Conformal load prediction with transductive graph autoencoders. Mach. Learn. Rui Luo, Nicolò Colombo
2025	A*	`conf`	Conformalized Interval Arithmetic with Symmetric Calibration. AAAI Rui Luo, Zhixin Zhou
2025	A*	`conf`	Conformity Score Averaging for Classification. ICML Rui Luo, Zhixin Zhou
2025	J	`jnl`	Correction to: Conformal load prediction with transductive graph autoencoders. Mach. Learn. Rui Luo, Nicolò Colombo
2025	J	`jnl`	Enhanced Route Planning with Calibrated Uncertainty Set. CoRR Lingxuan Tang, Rui Luo, Zhixin Zhou, Nicolò Colombo
2025	J	`jnl`	Enhanced route planning with calibrated uncertainty set. Mach. Learn. Lingxuan Tang, Rui Luo, Zhixin Zhou, Nicolò Colombo
2025	A*	`conf`	Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability. ICML Jie Bao, Chuangyin Dang, Rui Luo, Hanwei Zhang, Zhixin Zhou
2025	J	`jnl`	Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability. CoRR Jie Bao, Chuangyin Dang, Rui Luo, Hanwei Zhang, Zhixin Zhou
2025	—	`conf`	Enhancing Medical Robotic Vision with Uncertainty-Aware AI: A Conformalized Segmentation Approach for Reliable Diagnosis. ROBIO Rui Luo, Wen Jung Li
2025	A*	`conf`	Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training. AAAI Ting Wang, Zhixin Zhou, Rui Luo
2025	J	`jnl`	Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training. CoRR Ting Wang, Zhixin Zhou, Rui Luo
2025	A	`conf`	Residual Reweighted Conformal Prediction for Graph Neural Networks. UAI Zheng Zhang, Jie Bao, Zhixin Zhou, Nicolò Colombo, Lixin Cheng, Rui Luo
2025	J	`jnl`	Residual Reweighted Conformal Prediction for Graph Neural Networks. CoRR Zheng Zhang, Jie Bao, Zhixin Zhou, Nicolò Colombo, Lixin Cheng, Rui Luo
2025	J	`jnl`	Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression. CoRR Rui Luo, Zhixin Zhou
2024	J	`jnl`	Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models. CoRR Xiaoyi Su, Zhixin Zhou, Rui Luo
2024	J	`jnl`	Conformal Load Prediction with Transductive Graph Autoencoders. CoRR Rui Luo, Nicolò Colombo
2024	J	`jnl`	Conformal Thresholded Intervals for Efficient Regression. CoRR Rui Luo, Zhixin Zhou
2024	J	`jnl`	Conformalized Interval Arithmetic with Symmetric Calibration. CoRR Rui Luo, Zhixin Zhou
2024	—	`conf`	Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistic. CDC Rui Luo, Vikram Krishnamurthy
2024	—	`conf`	Entropy Reweighted Conformal Classification. COPA Rui Luo, Nicolò Colombo
2024	J	`jnl`	Entropy Reweighted Conformal Classification. CoRR Rui Luo, Nicolò Colombo
2024	J	`jnl`	Fréchet-Statistics-Based Change Point Detection in Dynamic Social Networks. IEEE Trans. Comput. Soc. Syst. Rui Luo, Vikram Krishnamurthy
2024	J	`jnl`	Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging. CoRR Rui Luo, Jie Bao, Zhixin Zhou, Chuangyin Dang
2024	J	`jnl`	Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models. IEEE Trans. Comput. Soc. Syst. Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
2024	J	`jnl`	Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation. CoRR Jie Bao, Zhixin Zhou, Wen Jung Li, Rui Luo
2024	J	`jnl`	Trustworthy Classification through Rank-Based Conformal Prediction Sets. CoRR Rui Luo, Zhixin Zhou
2024	J	`jnl`	Weighted Aggregation of Conformity Scores for Classification. CoRR Rui Luo, Zhixin Zhou
2023	—	`conf`	Anomalous Edge Detection in Edge Exchangeable Social Network Models. COPA Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
2023	J	`jnl`	Fréchet Statistics Based Change Point Detection in Dynamic Social Networks. CoRR Rui Luo, Vikram Krishnamurthy
2023	J	`jnl`	Fréchet Statistics Based Change Point Detection in Multivariate Hawkes Process. CoRR Rui Luo, Vikram Krishnamurthy
2023	J	`jnl`	Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models. CoRR Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
2023	J	`jnl`	Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution. CoRR Rui Luo, Vikram Krishnamurthy
2022	J	`jnl`	Controlling Segregation in Social Network Dynamics as an Edge Formation Game. IEEE Trans. Netw. Sci. Eng. Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
2022	J	`jnl`	Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation. IEEE Trans. Comput. Soc. Syst. Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
2022	J	`jnl`	Hawkes Process Modeling of Block Arrivals in Bitcoin Blockchain. CoRR Rui Luo, Vikram Krishnamurthy, Erik Blasch
2022	J	`jnl`	Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks. CoRR Rui Luo, Vikram Krishnamurthy
2021	J	`jnl`	Anomalous Edge Detection in Edge Exchangeable Social Network Models. CoRR Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
2021	J	`jnl`	Controlling Segregation in Social Network Dynamics as an Edge Formation Game. CoRR Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
2021	Misc	`conf`	Segregation in Social Networks: MARKOV Bridge Models and Estimation. ICASSP Vikram Krishnamurthy, Rui Luo, Buddhika Nettasinghe
2020	J	`jnl`	Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation. CoRR Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy