Nanyang Ye

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Gaussian Process

Neural Architecture

High Dynamic Range Images

Top Venues

IEEE Robotics Autom. Lett.

Publications

Chensheng Peng, Zhaoyu Zeng, Jinling Gao, Jundong Zhou, Masayoshi Tomizuka, Xinbing Wang, Chenghu Zhou, Nanyang Ye
PNAS-MOT: Multi-Modal Object Tracking with Pareto Neural Architecture Search. CoRR (2024)
Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction. CoRR (2024)
Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration. AAAI (2024)
Chensheng Peng, Zhaoyu Zeng, Jinling Gao, Jundong Zhou, Masayoshi Tomizuka, Xinbing Wang, Chenghu Zhou, Nanyang Ye
PNAS-MOT: Multi-Modal Object Tracking With Pareto Neural Architecture Search. IEEE Robotics Autom. Lett. 9 (5) (2024)
Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection. CoRR (2024)
Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection. AAAI (2024)
Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu
Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning. CoRR (2024)
Lin Zhu, Yifeng Yang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection. CoRR (2024)
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
AceMap: Knowledge Discovery through Academic Graph. CoRR (2024)
Lin Zhu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization. AAAI (2023)
Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu
Certifiable Out-of-Distribution Generalization. AAAI (2023)
Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration. CoRR (2023)
Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu
An Annealing Mechanism for Adversarial Training Acceleration. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. CVPR (2022)
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI (2022)
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR (2022)
Linfeng Cao, Aofan Jiang, Wei Li, Huaying Wu, Nanyang Ye
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression. AAAI (2022)
Ningyi Liao, Shufan Wang, Liyao Xiang, Nanyang Ye, Shuo Shao, Pengzhi Chu
Achieving adversarial robustness via sparsity. Mach. Learn. 111 (2) (2022)
Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. CoRR (2022)
Aliaksei Mikhailiuk, Nanyang Ye, Rafal K. Mantiuk
The effect of display brightness and viewing distance: a dataset for visually lossless image compression. HVEI (2021)
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. ICCV (2021)
Nanyang Ye, María Pérez-Ortiz, Rafal K. Mantiuk
Visibility Metric for Visually Lossless Image Compression. PCS (2019)
Nanyang Ye, Krzysztof Wolski, Rafal K. Mantiuk
Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance. CVPR (2019)
Nanyang Ye, María Pérez-Ortiz, Rafal K. Mantiuk
Trained Perceptual Transform for Quality Assessment of High Dynamic Range Images and Video. ICIP (2018)
Krzysztof Wolski, Daniele Giunchi, Nanyang Ye, Piotr Didyk, Karol Myszkowski, Radoslaw Mantiuk, Hans-Peter Seidel, Anthony Steed, Rafal K. Mantiuk
Dataset and Metrics for Predicting Local Visible Differences. ACM Trans. Graph. 37 (5) (2018)
Nanyang Ye, Zhanxing Zhu, Rafal K. Mantiuk
Langevin Dynamics with Continuous Tempering for High-dimensional Non-convex Optimization. CoRR (2017)
Nanyang Ye, Zhanxing Zhu, Rafal Mantiuk
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks. NIPS (2017)