Luo, Rui

17 publications

TMLR 2026 Game-Theoretic Defenses for Adversarially Robust Conformal Prediction Rui Luo, Jie Bao, Suqun Cao, Chuangyin Dang, Zhixin Zhou

MLJ 2025 Conformal Load Prediction with Transductive Graph Autoencoders Rui Luo, Nicolò Colombo

AAAI 2025 Conformal Thresholded Intervals for Efficient Regression Rui Luo, Zhixin Zhou

AAAI 2025 Conformalized Interval Arithmetic with Symmetric Calibration Rui Luo, Zhixin Zhou

ICML 2025 Conformity Score Averaging for Classification Rui Luo, Zhixin Zhou

MLJ 2025 Correction to: Conformal Load Prediction with Transductive Graph Autoencoders Rui Luo, Nicolò Colombo

MLJ 2025 Enhanced Route Planning with Calibrated Uncertainty Set Lingxuan Tang, Rui Luo, Zhixin Zhou, Nicolò Colombo

ICML 2025 Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Jie Bao, Chuangyin Dang, Rui Luo, Hanwei Zhang, Zhixin Zhou

AAAI 2025 Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training Ting Wang, Zhixin Zhou, Rui Luo

UAI 2025 Residual Reweighted Conformal Prediction for Graph Neural Networks Zheng Zhang, Jie Bao, Zhixin Zhou, Nicolo Colombo, Lixin Cheng, Rui Luo

WACV 2023 More than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching Yuxiao Chen, Jianbo Yuan, Long Zhao, Tianlang Chen, Rui Luo, Larry Davis, Dimitris N. Metaxas

NeurIPS 2020 Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang

ICCVW 2019 A Weakly Supervised Adaptive Triplet Loss for Deep Metric Learning Xiaonan Zhao, Huan Qi, Rui Luo, Larry Davis

ICLR 2019 Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan

AAAI 2018 A Neural Stochastic Volatility Model Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang

ICML 2018 Mean Field Multi-Agent Reinforcement Learning Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang

NeurIPS 2018 Thermostat-Assisted Continuously-Tempered Hamiltonian Monte Carlo for Bayesian Learning Rui Luo, Jianhong Wang, Yaodong Yang, Jun Wang, Zhanxing Zhu