| 2026 | ICPR | Improving Proactive Risk-Awareness of Autonomous Driving via Trajectory Monitoring. | Xue Zhao, Xianfei Li, Pai Peng, Nanyang Ye |
| 2025 | COLING | Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework. | Qiao Sun, Jiexin Xie, Nanyang Ye, Qinying Gu, Shijie Guo |
| 2025 | CVPR | Decision SpikeFormer: Spike-Driven Transformer for Decision Making. | Wei Huang, Qinying Gu, Nanyang Ye |
| 2025 | CVPR | OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary. | Yifeng Yang, Lin Zhu, Zewen Sun, Hengyu Liu, Qinying Gu, Nanyang Ye |
| 2025 | ICANN | Conformalized Causal Learning for Uncertainty-Aware Mineral Prospectivity Mapping. | Evelyn Jessica Jaya, Qinying Gu, Xinbing Wang, Nanyang Ye |
| 2025 | ICASSP | ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting. | Yifeng Yang, Hengyu Liu, Chenxin Li, Yining Sun, Wuyang Li, Yifan Liu, Yiyang Lin, Yixuan Yuan, Nanyang Ye |
| 2025 | ICLR | Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models. | Lin Zhu, Xinbing Wang, Chenghu Zhou, Qinying Gu, Nanyang Ye |
| 2025 | ICML | Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning. | Xue Zhao, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2025 | ICRA | Tri-AutoAug: Single Domain Generalization for Bird's-Eye-View 3D Object Detection Through Pixel-2D-3D Features. | Xue Zhao, Pai Peng, Xianfei Li, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2024 | AAAI | G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection. | Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2024 | AAAI | Domain Invariant Learning for Gaussian Processes and Bayesian Exploration. | Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2024 | EMNLP | MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction. | Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu |
| 2024 | ICML | CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection. | Lin Zhu, Yifeng Yang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2023 | AAAI | Certifiable Out-of-Distribution Generalization. | Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu |
| 2023 | AAAI | Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization. | Lin Zhu, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2022 | AAAI | OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression. | Linfeng Cao, Aofan Jiang, Wei Li, Huaying Wu, Nanyang Ye |
| 2022 | AAAI | Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. | Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He |
| 2022 | CVPR | OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. | Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu |
| 2021 | AAAI | DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. | Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li |
| 2021 | AAAI | Amata: An Annealing Mechanism for Adversarial Training Acceleration. | Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu |
| 2021 | CVPR | Adversarial Invariant Learning. | Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li, Guang-Zhong Yang, Zhanxing Zhu |
| 2021 | DAC | BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. | Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang |
| 2021 | GLOBECOM | DeepIC: Coding for Interference Channels via Deep Learning. | Karl Chahine, Nanyang Ye, Hyeji Kim |
| 2021 | ICCV | NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. | Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li |
| 2021 | IROS | Semi-supervised Vein Segmentation of Ultrasound Images for Autonomous Venipuncture. | Yu Chen, Yuxuan Wang, Bolin Lai, Zijie Chen, Xu Cao, Nanyang Ye, Zhongyuan Ren, Junbo Zhao, Xiao-Yun Zhou, Peng Qi |
| 2019 | CVPR | Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance. | Nanyang Ye, Krzysztof Wolski, Rafal K. Mantiuk |
| 2019 | PCS | Visibility Metric for Visually Lossless Image Compression. | Nanyang Ye, Mara Prez-Ortiz, Rafal K. Mantiuk |
| 2018 | ICIP | Trained Perceptual Transform for Quality Assessment of High Dynamic Range Images and Video. | Nanyang Ye, Mara Prez-Ortiz, Rafal K. Mantiuk |
| 2018 | IJCAI | Stochastic Fractional Hamiltonian Monte Carlo. | Nanyang Ye, Zhanxing Zhu |
| 2016 | ICIP | Mouse calibration aided real-time gaze estimation based on boost Gaussian Bayesian learning. | Nanyang Ye, Xiaoming Tao, Linhao Dong, Ning Ge |
| 2015 | VTC | Efficient Multi-Cell Clustering for Coordinated Multi-Point Transmission with Blossom Tree Algorithm. | Nanyang Ye, Linhao Dong, Xiaoming Tao, Ning Ge |