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Rui Luo 0002
Person information
- affiliation: City University of Hong Kong, Hong Kong
- affiliation (PhD): Cornell University, Ithaca, NY, USA
Other persons with the same name
- Rui Luo — disambiguation page
- Rui Luo 0001 — University College London, UK (and 1 more)
- Rui Luo 0003
— University of Electronic Science and Technology of China, Chengdu, China - Rui Luo 0004 — Jiangsu Academy of Agricultural Sciences, Nanjing, China
- Rui Luo 0005
— Northeastern University, Boston, MA, USA - Rui Luo 0006 — National University of Defense Technology, Changsha, China
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2020 – today
- 2026
[j12]Rui Luo
, Jie Bao
, Hing Cheung So, Suqun Cao, Mengqiao Xu
:
Graph online change point detection based on fréchet statistics. Neurocomputing 661: 131874 (2026)
[j11]Rui Luo
, Zhixin Zhou:
Reliable classification through rank-based conformal prediction sets. Pattern Recognit. 172: 112330 (2026)
[j10]Rui Luo
, Zhixin Zhou:
Density-sorted prediction set: Efficient conformal prediction for multi-target regression. Pattern Recognit. 172: 112513 (2026)
[j9]Rui Luo
, Vikram Krishnamurthy
:
Mitigating Misinformation Spread in Blockchain-Based Online Social Networks. IEEE Trans. Comput. Soc. Syst. 13(1): 817-828 (2026)
[j8]Rui Luo, Jie Bao, Suqun Cao, Chuangyin Dang, Zhixin Zhou:
Game-Theoretic Defenses for Adversarially Robust Conformal Prediction. Trans. Mach. Learn. Res. 2026 (2026)- 2025
[j7]Rui Luo
, Nicolò Colombo:
Conformal load prediction with transductive graph autoencoders. Mach. Learn. 114(3): 54 (2025)
[j6]Rui Luo
, Nicolò Colombo:
Correction to: Conformal load prediction with transductive graph autoencoders. Mach. Learn. 114(5): 122 (2025)
[j5]Lingxuan Tang, Rui Luo
, Zhixin Zhou, Nicolò Colombo:
Enhanced route planning with calibrated uncertainty set. Mach. Learn. 114(5): 129 (2025)
[c12]Rui Luo
, Zhixin Zhou:
Conformalized Interval Arithmetic with Symmetric Calibration. AAAI 2025: 19207-19215
[c11]Rui Luo
, Zhixin Zhou:
Conformal Thresholded Intervals for Efficient Regression. AAAI 2025: 19216-19223
[c10]Ting Wang, Zhixin Zhou, Rui Luo
:
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training. AAAI 2025: 21261-21268
[c9]Jie Bao, Nicolò Colombo, Valery Manokhin, Suqun Cao, Rui Luo:
A Review and Comparative Analysis of Univariate Conformal Regression Methods. COPA 2025: 282-304
[c8]Rui Luo, Zhixin Zhou:
Conformity Score Averaging for Classification. ICML 2025
[c7]Jie Bao, Chuangyin Dang, Rui Luo, Hanwei Zhang, Zhixin Zhou:
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability. ICML 2025
[c6]Rui Luo, Wen Jung Li:
Enhancing Medical Robotic Vision with Uncertainty-Aware AI: A Conformalized Segmentation Approach for Reliable Diagnosis. ROBIO 2025: 627-631
[c5]Zheng Zhang, Jie Bao, Zhixin Zhou, Nicolò Colombo, Lixin Cheng, Rui Luo:
Residual Reweighted Conformal Prediction for Graph Neural Networks. UAI 2025: 4982-4999
[i24]Ting Wang, Zhixin Zhou, Rui Luo:
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training. CoRR abs/2501.02767 (2025)
[i23]Rui Luo, Zhixin Zhou:
Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression. CoRR abs/2503.02205 (2025)
[i22]Lingxuan Tang, Rui Luo, Zhixin Zhou, Nicolò Colombo:
Enhanced Route Planning with Calibrated Uncertainty Set. CoRR abs/2503.10088 (2025)
[i21]Rui Luo, Zhixin Zhou:
Conditional Conformal Risk Adaptation. CoRR abs/2504.07611 (2025)
[i20]Jie Bao
, Chuangyin Dang, Rui Luo, Hanwei Zhang, Zhixin Zhou:
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability. CoRR abs/2506.07804 (2025)
[i19]Zheng Zhang, Jie Bao
, Zhixin Zhou, Nicolò Colombo, Lixin Cheng, Rui Luo:
Residual Reweighted Conformal Prediction for Graph Neural Networks. CoRR abs/2506.07854 (2025)- 2024
[j4]Rui Luo
, Vikram Krishnamurthy
:
Fréchet-Statistics-Based Change Point Detection in Dynamic Social Networks. IEEE Trans. Comput. Soc. Syst. 11(2): 2863-2871 (2024)
[j3]Rui Luo
, Buddhika Nettasinghe
, Vikram Krishnamurthy
:
Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models. IEEE Trans. Comput. Soc. Syst. 11(6): 7778-7788 (2024)
[c4]Rui Luo
, Vikram Krishnamurthy:
Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistic. CDC 2024: 2423-2428
[c3]Rui Luo, Nicolò Colombo:
Entropy Reweighted Conformal Classification. COPA 2024: 264-276
[i18]Rui Luo, Nicolò Colombo:
Conformal Load Prediction with Transductive Graph Autoencoders. CoRR abs/2406.08281 (2024)
[i17]Rui Luo, Zhixin Zhou:
Trustworthy Classification through Rank-Based Conformal Prediction Sets. CoRR abs/2407.04407 (2024)
[i16]Rui Luo, Zhixin Zhou:
Weighted Aggregation of Conformity Scores for Classification. CoRR abs/2407.10230 (2024)
[i15]Rui Luo, Zhixin Zhou:
Conformal Thresholded Intervals for Efficient Regression. CoRR abs/2407.14495 (2024)
[i14]Rui Luo, Nicolò Colombo:
Entropy Reweighted Conformal Classification. CoRR abs/2407.17377 (2024)
[i13]Rui Luo, Zhixin Zhou:
Conformalized Interval Arithmetic with Symmetric Calibration. CoRR abs/2408.10939 (2024)
[i12]Xiaoyi Su, Zhixin Zhou, Rui Luo:
Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models. CoRR abs/2411.01558 (2024)
[i11]Rui Luo, Jie Bao, Zhixin Zhou, Chuangyin Dang:
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging. CoRR abs/2411.04376 (2024)
[i10]Jie Bao, Zhixin Zhou, Wen Jung Li, Rui Luo:
Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation. CoRR abs/2412.04296 (2024)- 2023
[c2]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Anomalous Edge Detection in Edge Exchangeable Social Network Models. COPA 2023: 287-310
[i9]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models. CoRR abs/2303.09990 (2023)
[i8]Rui Luo, Vikram Krishnamurthy:
Fréchet Statistics Based Change Point Detection in Dynamic Social Networks. CoRR abs/2303.10753 (2023)
[i7]Rui Luo, Vikram Krishnamurthy:
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution. CoRR abs/2303.16741 (2023)
[i6]Rui Luo, Vikram Krishnamurthy:
Fréchet Statistics Based Change Point Detection in Multivariate Hawkes Process. CoRR abs/2308.06769 (2023)- 2022
[j2]Rui Luo
, Buddhika Nettasinghe
, Vikram Krishnamurthy
:
Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation. IEEE Trans. Comput. Soc. Syst. 9(3): 891-901 (2022)
[j1]Rui Luo
, Buddhika Nettasinghe
, Vikram Krishnamurthy
:
Controlling Segregation in Social Network Dynamics as an Edge Formation Game. IEEE Trans. Netw. Sci. Eng. 9(4): 2317-2329 (2022)
[i5]Rui Luo, Vikram Krishnamurthy:
Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks. CoRR abs/2201.07076 (2022)
[i4]Rui Luo, Vikram Krishnamurthy, Erik Blasch:
Hawkes Process Modeling of Block Arrivals in Bitcoin Blockchain. CoRR abs/2203.16666 (2022)- 2021
[c1]Vikram Krishnamurthy, Rui Luo
, Buddhika Nettasinghe
:
Segregation in Social Networks: MARKOV Bridge Models and Estimation. ICASSP 2021: 5484-5488
[i3]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Controlling Segregation in Social Network Dynamics as an Edge Formation Game. CoRR abs/2108.12741 (2021)
[i2]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Anomalous Edge Detection in Edge Exchangeable Social Network Models. CoRR abs/2109.12727 (2021)- 2020
[i1]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation. CoRR abs/2012.13643 (2020)
Coauthor Index

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last updated on 2026-03-08 00:48 CET by the dblp team
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