Nanyang Ye

73 papers A* 22A 1B 4C 1Misc 1Journal 39Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
An End-to-end Flight Control Network for High-speed UAV Obstacle Avoidance based on Event-Depth Fusion.
CoRR
Dikai Shang, Jingyue Zhao, Shi Xu, Nanyang Ye, Lei Wang
2026 J jnl
CFSM: A Novel Causal Feature Selection Module for Two-Dimensional Out-of-Distribution Generalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Lin Zhu, Weihan Yin, Yiyao Yang, Yifei Wu, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2026 J jnl
OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Nanyang Ye, Kaican Li, Fan Wu, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou
2026 J jnl
Proximal Action Replacement for Behavior Cloning Actor-Critic in Offline Reinforcement Learning.
CoRR
Jinzong Dong, Wei Huang, Jianshu Zhang, Zhuo Chen, Xinzhe Yuan, Qinying Gu, Zhaohui Jiang, Nanyang Ye
2026 J jnl
V-CAGE: Context-Aware Generation and Verification for Scalable Long-Horizon Embodied Tasks.
CoRR
Yaru Liu, Ao-Bo Wang, Nanyang Ye
2025 J jnl
Bayes-CAL: Robust Cross-Modal Alignment by Bayesian Approach for Few-Shot OoD Generalization.
Int. J. Comput. Vis.
Lin Zhu, Weihan Yin, Fan Wu, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2025 J jnl
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization.
CoRR
Lin Zhu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2025 Misc conf
ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting.
ICASSP
Yifeng Yang, Hengyu Liu, Chenxin Li, Yining Sun, Wuyang Li, Yifan Liu, Yiyang Lin, Yixuan Yuan, Nanyang Ye
2025 J jnl
ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting.
CoRR
Yifeng Yang, Hengyu Liu, Chenxin Li, Yining Sun, Wuyang Li, Yifan Liu, Yiyang Lin, Yixuan Yuan, Nanyang Ye
2025 — conf
Conformalized Causal Learning for Uncertainty-Aware Mineral Prospectivity Mapping.
ICANN (4)
Evelyn Jessica Jaya, Qinying Gu, Xinbing Wang, Nanyang Ye
2025 A* conf
Decision SpikeFormer: Spike-Driven Transformer for Decision Making.
CVPR
Wei Huang, Qinying Gu, Nanyang Ye
2025 J jnl
Decision SpikeFormer: Spike-Driven Transformer for Decision Making.
CoRR
Wei Huang, Qinying Gu, Nanyang Ye
2025 B conf
Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework.
COLING
Qiao Sun, Jiexin Xie, Nanyang Ye, Qinying Gu, Shijie Guo
2025 A* conf
Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning.
ICML
Xue Zhao, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2025 J jnl
InfoBound: A Provable Information-Bounds Inspired Framework for Both OoD Generalization and OoD Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Lin Zhu, Yifeng Yang, Zichao Nie, Yuan Gao, Jiarui Li, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2025 J jnl
Learning Primitive Embodied World Models: Towards Scalable Robotic Learning.
CoRR
Qiao Sun, Liujia Yang, Wei Tang, Wei Huang, Kaixin Xu, Yongchao Chen, Mingyu Liu, Jiange Yang, Haoyi Zhu, Yating Wang, Tong He, Yilun Chen, Xili Dai, Nanyang Ye, Qinying Gu
2025 A* conf
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models.
ICLR
Lin Zhu, Xinbing Wang, Chenghu Zhou, Qinying Gu, Nanyang Ye
2025 J jnl
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models.
CoRR
Lin Zhu, Xinbing Wang, Chenghu Zhou, Qinying Gu, Nanyang Ye
2025 A* conf
OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary.
CVPR
Yifeng Yang, Lin Zhu, Zewen Sun, Hengyu Liu, Qinying Gu, Nanyang Ye
2025 J jnl
OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary.
CoRR
Yifeng Yang, Lin Zhu, Zewen Sun, Hengyu Liu, Qinying Gu, Nanyang Ye
2025 A* conf
Tri-AutoAug: Single Domain Generalization for Bird's-Eye-View 3D Object Detection Through Pixel-2D-3D Features.
ICRA
Xue Zhao, Pai Peng, Xianfei Li, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2025 J jnl
ΔEnergy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization.
CoRR
Lin Zhu, Yifeng Yang, Xinbing Wang, Qinying Gu, Nanyang Ye
2024 J jnl
AceMap: Knowledge Discovery through Academic Graph.
CoRR
Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou
2024 A* conf
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection.
ICML
Lin Zhu, Yifeng Yang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2024 J jnl
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection.
CoRR
Lin Zhu, Yifeng Yang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2024 A* conf
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration.
AAAI
Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2024 J jnl
Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework.
CoRR
Qiao Sun, Jiexin Xie, Nanyang Ye, Qinying Gu, Shijie Guo
2024 A* conf
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection.
AAAI
Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2024 J jnl
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection.
CoRR
Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2024 A* conf
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction.
EMNLP
Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu
2024 J jnl
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction.
CoRR
Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu
2024 J jnl
OoD-Control: Generalizing Control in Unseen Environments.
IEEE Trans. Pattern Anal. Mach. Intell.
Nanyang Ye, Zhaoyu Zeng, Jundong Zhou, Lin Zhu, Yuxiao Duan, Yifei Wu, Junqi Wu, Haoqi Zeng, Qinying Gu, Xinbing Wang, Chenghu Zhou
2024 J jnl
PNAS-MOT: Multi-Modal Object Tracking With Pareto Neural Architecture Search.
IEEE Robotics Autom. Lett.
Chensheng Peng, Zhaoyu Zeng, Jinling Gao, Jundong Zhou, Masayoshi Tomizuka, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2024 J jnl
PNAS-MOT: Multi-Modal Object Tracking with Pareto Neural Architecture Search.
CoRR
Chensheng Peng, Zhaoyu Zeng, Jinling Gao, Jundong Zhou, Masayoshi Tomizuka, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2024 J jnl
Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning.
CoRR
Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu
2024 J jnl
Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing.
CoRR
Nanyang Ye, Qiao Sun, Yifei Wang, Liujia Yang, Jundong Zhou, Lei Wang, Guang-Zhong Yang, Xinbing Wang, Chenghu Zhou, Wei Ren, Leilei Gu, Huaqiang Wu, Qinying Gu
2024 J jnl
Vision-Language Alignment Learning Under Affinity and Divergence Principles for Few-Shot Out-of-Distribution Generalization.
Int. J. Comput. Vis.
Lin Zhu, Weihan Yin, Yiyao Yang, Fan Wu, Zhaoyu Zeng, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2023 J jnl
An Annealing Mechanism for Adversarial Training Acceleration.
IEEE Trans. Neural Networks Learn. Syst.
Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu
2023 A* conf
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization.
AAAI
Lin Zhu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2023 A* conf
Certifiable Out-of-Distribution Generalization.
AAAI
Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu
2023 J jnl
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration.
CoRR
Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2022 J jnl
Achieving adversarial robustness via sparsity.
Mach. Learn.
Ningyi Liao, Shufan Wang, Liyao Xiang, Nanyang Ye, Shuo Shao, Pengzhi Chu
2022 J jnl
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture.
CoRR
Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang
2022 A* conf
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
CVPR
Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu
2022 A* conf
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression.
AAAI
Linfeng Cao, Aofan Jiang, Wei Li, Huaying Wu, Nanyang Ye
2022 A* conf
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms.
AAAI
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022 J jnl
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms.
CoRR
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2021 A* conf
Adversarial Invariant Learning.
CVPR
Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li, Guang-Zhong Yang, Zhanxing Zhu
2021 A* conf
Amata: An Annealing Mechanism for Adversarial Training Acceleration.
AAAI
Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu
2021 A* conf
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture.
DAC
Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang
2021 A* conf
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.
AAAI
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
2021 B conf
DeepIC: Coding for Interference Channels via Deep Learning.
GLOBECOM
Karl Chahine, Nanyang Ye, Hyeji Kim
2021 J jnl
DeepIC: Coding for Interference Channels via Deep Learning.
CoRR
Karl Chahine, Nanyang Ye, Hyeji Kim
2021 A* conf
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.
ICCV
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
2021 J jnl
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.
CoRR
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
2021 J jnl
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.
CoRR
Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li
2021 A conf
Semi-supervised Vein Segmentation of Ultrasound Images for Autonomous Venipuncture.
IROS
Yu Chen, Yuxuan Wang, Bolin Lai, Zijie Chen, Xu Cao, Nanyang Ye, Zhongyuan Ren, Junbo Zhao, Xiao-Yun Zhou, Peng Qi
2021 — conf
The effect of display brightness and viewing distance: a dataset for visually lossless image compression.
HVEI
Aliaksei Mikhailiuk, Nanyang Ye, Rafal K. Mantiuk
2020 J jnl
Achieving Adversarial Robustness via Sparsity.
CoRR
Shufan Wang, Ningyi Liao, Liyao Xiang, Nanyang Ye, Quanshi Zhang
2020 J jnl
Amata: An Annealing Mechanism for Adversarial Training Acceleration.
CoRR
Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu
2020 J jnl
Batch Group Normalization.
CoRR
Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro M. Esperança, Guang-Zhong Yang, Zhenguo Li
2020 J jnl
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.
CoRR
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
2020 — —
Visibility metrics and their applications in visually lossless image compression.
Nanyang Ye
2019 A* conf
Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance.
CVPR
Nanyang Ye, Krzysztof Wolski, Rafal K. Mantiuk
2019 C conf
Visibility Metric for Visually Lossless Image Compression.
PCS
Nanyang Ye, María Pérez-Ortiz, Rafal K. Mantiuk
2018 A* conf
Bayesian Adversarial Learning.
NeurIPS
Nanyang Ye, Zhanxing Zhu
2018 J jnl
Dataset and Metrics for Predicting Local Visible Differences.
ACM Trans. Graph.
Krzysztof Wolski, Daniele Giunchi, Nanyang Ye, Piotr Didyk, Karol Myszkowski, Radoslaw Mantiuk, Hans-Peter Seidel, Anthony Steed, Rafal K. Mantiuk
2018 A* conf
Stochastic Fractional Hamiltonian Monte Carlo.
IJCAI
Nanyang Ye, Zhanxing Zhu
2018 B conf
Trained Perceptual Transform for Quality Assessment of High Dynamic Range Images and Video.
ICIP
Nanyang Ye, María Pérez-Ortiz, Rafal K. Mantiuk
2017 J jnl
Langevin Dynamics with Continuous Tempering for High-dimensional Non-convex Optimization.
CoRR
Nanyang Ye, Zhanxing Zhu, Rafal K. Mantiuk
2017 — conf
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks.
NIPS
Nanyang Ye, Zhanxing Zhu, Rafal Mantiuk
2016 B conf
Mouse calibration aided real-time gaze estimation based on boost Gaussian Bayesian learning.
ICIP
Nanyang Ye, Xiaoming Tao, Linhao Dong, Ning Ge
2015 — conf
Efficient Multi-Cell Clustering for Coordinated Multi-Point Transmission with Blossom Tree Algorithm.
VTC Fall
Nanyang Ye, Linhao Dong, Xiaoming Tao, Ning Ge