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Dr. LUO Lorry Rui (羅睿博士)

PhD(Cornell University)
BEng(Tsinghua University)

Assistant Professor

Contact Information

Office:  YEUNG P6520
Phone: 34427527
Fax: 34420173
Email: ruiluo@cityu.edu.hk
Web: Google Scholar

Research Interests

  • Machine Learning
  • Network Analysis
  • Trustworthy AI Systems
  • Conformal Prediction
Rui Luo earned his BEng from Tsinghua University, and his PhD degree from Cornell University. His research interests include statistical signal processing and complex networks. Currently, Rui Luo is an Assistant Professor in the Department of Systems Engineering at City University of Hong Kong.


Awards and Achievements

  • Nov 2022 “Reviewer of the Month” Communications Physics. [URL]


Publications Show All Publications Show Prominent Publications


Journal

  • Luo, Rui. , Bao, Jie. , Cao, Suqun. , Dang, Chuangyin. & Zhou, Zhixin. (2026). Game-theoretic defenses for adversarially robust conformal prediction. Transactions on Machine Learning Research.
  • Luo, Rui. , Bao, Jie. , So, Hing Cheung. , Cao, Suqun. & Xu, Mengqiao. (2026). Graph online change point detection based on Fréchet statistics. Neurocomputing.
  • Liu, Qi. , Bao, Jie. , Zhang, Xu. , Shi, Chuan. , Liu, Catherine. & Luo, Rui. (2025). A graph‐theoretic approach to detection of parkinsonian freezing of gait from videos. Statistics in Medicine.
  • Luo, Rui. & Colombo, Nicolo. (2025). Conformal load prediction with transductive graph autoencoders. Machine Learning.
  • Su, Xiaoyi. , Wang, Chao. , Zhou, Zhixin. & Luo, Rui. (2025). Cybersecurity in cyber-physical systems: wireless jamming attack detection in noisy loRaWAN environment. ACM Transactions on Cyber-Physical Systems.
  • Luo, Rui. & Zhou, Zhixin. (2025). Density-sorted prediction set: Efficient conformal prediction for multi-target regression. Pattern Recognition.
  • Tang, Lingxuan. , Luo, Rui. , Zhou, Zhixin. & Colombo, Nicolo. (2025). Enhanced route planning with calibrated uncertainty set. Machine Learning.
  • Luo, Rui. & Krishnamurthy, Vikram. (2025). Mitigating misinformation spread on blockchain based online social networks. IEEE Transactions on Computational Social Systems.
  • Luo, Rui. & Zhou, Zhixin. (2025). Reliable Classification through Rank-Based Conformal Prediction Sets. Pattern Recognition.
  • Wang, Ting. , Luo, Rui. , Shi, Daqian. , Deng, Hao. & Zhao, Shengjie. (2025). Robust traffic forecasting with disentangled spatiotemporal graph neural networks. IEEE Transactions on Neural Networks and Learning Systems.
  • Luo, Rui. & Krishnamurthy, Vikram. (2024). Fréchet statistics based change point detection in dynamic social networks. IEEE Transactions on Computational Social Systems.
  • Luo, Rui. , Nettasinghe, Buddhika. & Krishnamurthy, Vikram. (2024). Mutual information measure for glass ceiling effect in preferential attachment models. IEEE Transactions on Computational Social Systems.
  • Luo, Rui. (2023). Hypothesis testing of Poisson rates in COVID-19 offspring distributions. Infectious Disease Modelling.
  • Luo, Rui. , Nettasinghe, Buddhika. & Krishnamurthy, Vikram. (2022). Controlling segregation in social network dynamics as an edge formation game. IEEE Transactions on Network Science and Engineering.
  • Luo, Rui. , Nettasinghe, Buddhika. & Krishnamurthy, Vikram. (2021). Echo chambers and segregation in social networks: Markov bridge models and estimation. IEEE Transactions on Computational Social Systems.

Conference Paper

  • Luo, Rui. , Bao, Jie. , Su, Xiaoyi. , Li, Wen Jung. & Cao, Suqun. (2026). Enhancing Image-Conditional Coverage in Segmentation: Adaptive Thresholding via Differentiable Miscoverage Loss. 14th International Conference on Learning Representations (ICLR 2026).
  • Guo, Naixin. , Luo, Rui. & Zhou, Zhixin. (2026). Fast conformal prediction using conditional interquantile intervals. 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026).
  • Bao, Jie. , Colombo, Nicolo. , Manokhin, Valery. , Cao, Suqun. & Luo, Rui. (2025). A review and comparative analysis of univariate conformal regression methods. 14th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2025).
  • Luo, Rui. & Zhou, Zhixin. (2025). Conformal thresholded intervals for efficient regression. 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025).
  • Luo, Rui. & Zhou, Zhixin. (2025). Conformalized interval arithmetic with symmetric calibration. 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025).
  • Luo, Rui. & Zhou, Zhixin. (2025). Conformity score averaging for classification. 41st International Conference on Machine Learning (ICML 2025).
  • Bao, Jie. , Zhang, Hanwei. , Zhou, Zhixin. , Dang, Chuangyin. & Luo, Rui. (2025). Enhancing adversarial robustness with conformal prediction: a framework for guaranteed model reliability. 41st International Conference on Machine Learning (ICML 2025).
  • Wang, Ting. , Zhou, Zhixin. & Luo, Rui. (2025). Enhancing trustworthiness of graph neural networks with rank-based conformal training. 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025).
  • Zhang, Zheng. , Bao, Jie. , Zhou, Zhixin. , Colombo, Nicolo. , Cheng, Lixin. & Luo, Rui. (2025). Residual reweighted conformal prediction for graph neural networks. 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025).
  • Luo, Rui. & Krishnamurthy, Vikram. (2024). Detecting structural shifts in multivariate Hawkes processes with Fréchet statistic. 63rd Conference on Decision and Control (CDC 2024).
  • Luo, Rui. & Colombo, Nicolo. (2024). Entropy reweighted conformal classification. 13th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2024).
  • Luo, Rui. , Nettasinghe, Buddhika. & Krishnamurthy, Vikram. (2023). Anomalous edge detection in edge exchangeable social network models. 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023).
  • Krishnamurthy, Vikram. , Luo, Rui. & Nettasinghe, Buddhika. (2021). Segregation in social networks: Markov bridge models and estimation. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021).


PhD/RA Opportunities

  • I am currently seeking highly motivated PhD students and RA to join my research team in the Department of Systems Engineering at City University of Hong Kong. The focus of our research will be on exploring various areas, including but not limited to:
    • Statistical Signal Processing on Graphs
    • Graph Machine Learning and Graph Neural Networks
    • Conformal Prediction
    If you are passionate about pursuing research in any of these areas, I would be delighted to hear from you. To apply, please send me your resume and transcript.


Last update date : 27 Jan 2026