Self-Supervised Learning for Sleep Stage Classification with Predictive and Discriminative Contrastive Coding. - Qinfeng Xiao; Jing Wang 060; Jianan Ye; Hongjun Zhang; Yuyan Bu; Yiqiong Zhang; Hao Wu (ICASSP, 2021)

From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion. - Weiguang Zhao; Chaolong Yang; Jianan Ye; Yuyao Yan; Xi Yang 008; Kaizhu Huang (CoRR, 2022)

Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. - Chaolong Yang; Yuyao Yan; Weiguang Zhao; Jianan Ye; Xi Yang 008; Amir Hussain 001; Kaizhu Huang (CoRR, 2022)

CoSleep: A Multi-View Representation Learning Framework for Self-Supervised Learning of Sleep Stage Classification. - Jianan Ye; Qinfeng Xiao; Jing Wang 060; Hongjun Zhang; Jiaoxue Deng; Youfang Lin (IEEE Signal Process. Lett., 2022)

Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization. - Weiguang Zhao; Yuyao Yan; Chaolong Yang; Jianan Ye; Xi Yang 008; Kaizhu Huang (ICCV, 2023)

Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. - Chaolong Yang; Yuyao Yan; Weiguang Zhao; Jianan Ye; Xi Yang 008; Amir Hussain 001; Bin Dong 003; Kaizhu Huang (ICONIP (15), 2023)

SaliencyCut: Augmenting Plausible Anomalies for Open-set Fine-Grained Anomaly Detection. - Jianan Ye; Yijie Hu; Xi Yang 008; Qiu-Feng Wang 001; Chao Huang; Kaizhu Huang (CoRR, 2023)

MathAttack: Attacking Large Language Models towards Math Solving Ability. - Zihao Zhou; Qiufeng Wang 001; Mingyu Jin; Jie Yao; Jianan Ye; Wei Liu 131; Wei Wang 042; Xiaowei Huang 001; Kaizhu Huang (AAAI, 2024)

Development and validation of a deep learning-based survival prediction model for pediatric glioma patients: A retrospective study using the SEER database and Chinese data. - Yang Jiao; Jianan Ye; Wenjian Zhao; Zhicheng Fan; Yunpeng Kou; Shaochun Guo; Min Chao; Chao Fan; Peigang Ji; Jinghui Liu; Yulong Zhai; Yuan Wang; et al. (Comput. Biol. Medicine, 2024)

SaliencyCut: Augmenting plausible anomalies for anomaly detection. - Jianan Ye; Yijie Hu; Xi Yang 008; Qiu-Feng Wang 001; Chao Huang; Kaizhu Huang (Pattern Recognit., 2024)

Disentangling Tabular Data Towards Better One-Class Anomaly Detection. - Jianan Ye; Zhaorui Tan; Yijie Hu; Xi Yang 008; Guangliang Cheng; Kaizhu Huang (AAAI, 2025)

PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection. - Jianan Ye; Weiguang Zhao; Xi Yang 008; Guangliang Cheng; Kaizhu Huang (CVPR, 2025)