Efficient Multi-Cell Clustering for Coordinated Multi-Point Transmission with Blossom Tree Algorithm. - Nanyang Ye 001; Linhao Dong; Xiaoming Tao 001; Ning Ge 001 (VTC Fall, 2015)

Mouse calibration aided real-time gaze estimation based on boost Gaussian Bayesian learning. - Nanyang Ye 001; Xiaoming Tao 001; Linhao Dong; Ning Ge 001 (ICIP, 2016)

Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks. - Nanyang Ye 001; Zhanxing Zhu; Rafal Mantiuk (NIPS, 2017)

Langevin Dynamics with Continuous Tempering for High-dimensional Non-convex Optimization. - Nanyang Ye 001; Zhanxing Zhu; Rafal K. Mantiuk (CoRR, 2017)

Trained Perceptual Transform for Quality Assessment of High Dynamic Range Images and Video. - Nanyang Ye 001; María Pérez-Ortiz 001; Rafal K. Mantiuk (ICIP, 2018)

Stochastic Fractional Hamiltonian Monte Carlo. - Nanyang Ye 001; Zhanxing Zhu (IJCAI, 2018)

Bayesian Adversarial Learning. - Nanyang Ye 001; Zhanxing Zhu (NeurIPS, 2018)

Dataset and Metrics for Predicting Local Visible Differences. - Krzysztof Wolski; Daniele Giunchi; Nanyang Ye 001; Piotr Didyk; Karol Myszkowski; Radoslaw Mantiuk; Hans-Peter Seidel; Anthony Steed; Rafal K. Mantiuk (ACM Trans. Graph., 2018)

Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance. - Nanyang Ye 001; Krzysztof Wolski; Rafal K. Mantiuk (CVPR, 2019)

Visibility Metric for Visually Lossless Image Compression. - Nanyang Ye 001; María Pérez-Ortiz 001; Rafal K. Mantiuk (PCS, 2019)

Achieving Adversarial Robustness via Sparsity. - Shufan Wang; Ningyi Liao; Liyao Xiang; Nanyang Ye 001; Quanshi Zhang (CoRR, 2020)

Batch Group Normalization. - Xiao-Yun Zhou 001; Jiacheng Sun; Nanyang Ye 001; Xu Lan; Qijun Luo; Bo-Lin Lai; Pedro M. Esperança; Guang-Zhong Yang; Zhenguo Li (CoRR, 2020)

Visibility metrics and their applications in visually lossless image compression. - Nanyang Ye 001 (2020)

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. - Haoyue Bai 001; Rui Sun; Lanqing Hong; Fengwei Zhou; Nanyang Ye 001; Han-Jia Ye; S.-H. Gary Chan; Zhenguo Li (AAAI, 2021)

Amata: An Annealing Mechanism for Adversarial Training Acceleration. - Nanyang Ye 001; Qianxiao Li; Xiao-Yun Zhou 001; Zhanxing Zhu (AAAI, 2021)

Adversarial Invariant Learning. - Nanyang Ye 001; Jingxuan Tang; Huayu Deng; Xiao-Yun Zhou 001; Qianxiao Li; Zhenguo Li; Guang-Zhong Yang; Zhanxing Zhu (CVPR, 2021)

BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. - Nanyang Ye 001; Jingbiao Mei; Zhicheng Fang; Yuwen Zhang; Ziqing Zhang; Huaying Wu; Xiaoyao Liang (DAC, 2021)

DeepIC: Coding for Interference Channels via Deep Learning. - Karl Chahine; Nanyang Ye 001; Hyeji Kim (GLOBECOM, 2021)

The effect of display brightness and viewing distance: a dataset for visually lossless image compression. - Aliaksei Mikhailiuk; Nanyang Ye 001; Rafal K. Mantiuk (HVEI, 2021)

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. - Haoyue Bai 001; Fengwei Zhou; Lanqing Hong; Nanyang Ye 001; S.-H. Gary Chan; Zhenguo Li (ICCV, 2021)

Semi-supervised Vein Segmentation of Ultrasound Images for Autonomous Venipuncture. - Yu Chen; Yuxuan Wang; Bolin Lai; Zijie Chen; Xu Cao; Nanyang Ye 001; Zhongyuan Ren; Junbo Zhao; Xiao-Yun Zhou 001; Peng Qi 001 (IROS, 2021)

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. - Nanyang Ye 001; Kaican Li; Lanqing Hong; Haoyue Bai 001; Yiting Chen 003; Fengwei Zhou; Zhenguo Li (CoRR, 2021)

OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression. - Linfeng Cao; Aofan Jiang; Wei Li; Huaying Wu; Nanyang Ye 001 (AAAI, 2022)

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. - Runpeng Yu 001; Hong Zhu 003; Kaican Li; Lanqing Hong; Rui Zhang 003; Nanyang Ye 001; Shao-Lun Huang; Xiuqiang He 001 (AAAI, 2022)

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. - Nanyang Ye 001; Kaican Li; Haoyue Bai 001; Runpeng Yu 001; Lanqing Hong; Fengwei Zhou; Zhenguo Li; Jun Zhu 001 (CVPR, 2022)

Achieving adversarial robustness via sparsity. - Ningyi Liao; Shufan Wang; Liyao Xiang; Nanyang Ye 001; Shuo Shao; Pengzhi Chu (Mach. Learn., 2022)

Certifiable Out-of-Distribution Generalization. - Nanyang Ye 001; Lin Zhu; Jia Wang; Zhaoyu Zeng; Jiayao Shao; Chensheng Peng; Bikang Pan; Kaican Li; Jun Zhu 001 (AAAI, 2023)

Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization. - Lin Zhu; Xinbing Wang; Chenghu Zhou; Nanyang Ye 001 (AAAI, 2023)

An Annealing Mechanism for Adversarial Training Acceleration. - Nanyang Ye 001; Qianxiao Li; Xiao-Yun Zhou 001; Zhanxing Zhu (IEEE Trans. Neural Networks Learn. Syst., 2023)

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection. - Fan Wu 006; Jinling Gao; Lanqing Hong; Xinbing Wang; Chenghu Zhou; Nanyang Ye 001 (AAAI, 2024)

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 001 (AAAI, 2024)

MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction. - Qiao Sun; Liujia Yang; Minghao Ma; Nanyang Ye 001; Qinying Gu (EMNLP, 2024)

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 001 (ICML, 2024)

AceMap: Knowledge Discovery through Academic Graph. - Xinbing Wang; Luoyi Fu; Xiaoying Gan; Ying Wen 001; Guanjie Zheng; Jiaxin Ding 001; Liyao Xiang; Nanyang Ye 001; Meng Jin 002; Shiyu Liang; Bin Lu 005; Haiwen Wang; et al. (CoRR, 2024)

Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning. - Qiao Sun; Liujia Yang; Minghao Ma; Nanyang Ye 001; Qinying Gu (CoRR, 2024)

Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing. - Nanyang Ye 001; Qiao Sun; Yifei Wang; Liujia Yang; Jundong Zhou; Lei Wang 029; Guang-Zhong Yang; Xinbing Wang; Chenghu Zhou; Wei Ren; Leilei Gu; Huaqiang Wu; et al. (CoRR, 2024)

PNAS-MOT: Multi-Modal Object Tracking With Pareto Neural Architecture Search. - Chensheng Peng; Zhaoyu Zeng; Jinling Gao; Jundong Zhou; Masayoshi Tomizuka; Xinbing Wang; Chenghu Zhou; Nanyang Ye 001 (IEEE Robotics Autom. Lett., 2024)

Vision-Language Alignment Learning Under Affinity and Divergence Principles for Few-Shot Out-of-Distribution Generalization. - Lin Zhu; Weihan Yin; Yiyao Yang; Fan Wu 006; Zhaoyu Zeng; Qinying Gu; Xinbing Wang; Chenghu Zhou; Nanyang Ye 001 (Int. J. Comput. Vis., 2024)

OoD-Control: Generalizing Control in Unseen Environments. - Nanyang Ye 001; Zhaoyu Zeng; Jundong Zhou; Lin Zhu; Yuxiao Duan; Yifei Wu; Junqi Wu; Haoqi Zeng; Qinying Gu; Xinbing Wang; Chenghu Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework. - Qiao Sun; Jiexin Xie; Nanyang Ye 001; Qinying Gu; Shijie Guo (COLING, 2025)

Decision SpikeFormer: Spike-Driven Transformer for Decision Making. - Wei Huang; Qinying Gu; Nanyang Ye 001 (CVPR, 2025)

OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary. - Yifeng Yang; Lin Zhu; Zewen Sun; Hengyu Liu 007; Qinying Gu; Nanyang Ye 001 (CVPR, 2025)

ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting. - Yifeng Yang; Hengyu Liu 007; Chenxin Li; Yining Sun; Wuyang Li; Yifan Liu 010; Yiyang Lin; Yixuan Yuan; Nanyang Ye 001 (ICASSP, 2025)

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 001 (ICLR, 2025)