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DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials 期刊论文
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2025, 卷号: 21, 期号: 9, 页码: 4375-4385
作者:  Zeng, Jinzhe;  Zhang, Duo;  Peng, Anyang;  Zhang, Xiangyu;  He, Sensen;  Wang, Yan;  Liu, Xinzijian;  Bi, Hangrui;  Li, Yifan;  Cai, Chun;  Zhang, Chengqian;  Du, Yiming;  Zhu, Jia-Xin;  Mo, Pinghui;  Huang, Zhengtao;  Zeng, Qiyu;  Shi, Shaochen;  Qin, Xuejian;  Yu, Zhaoxi;  Luo, Chenxing;  Ding, Ye;  Liu, Yun-Pei;  Shi, Ruosong;  Wang, Zhenyu;  Bore, Sigbjorn Loland;  Chang, Junhan;  Deng, Zhe;  Ding, Zhaohan;  Han, Siyuan;  Jiang, Wanrun;  Ke, Guolin;  Liu, Zhaoqing;  Lu, Denghui;  Muraoka, Koki;  Oliaei, Hananeh;  Singh, Anurag Kumar;  Que, Haohui;  Xu, Weihong;  Xu, Zhangmancang;  Zhuang, Yong-Bin;  Dai, Jiayu;  Giese, Timothy J.;  Jia, Weile;  Xu, Ben;  York, Darrin M.;  Zhang, Linfeng;  Wang, Han
收藏  |  浏览/下载：5/0  |  提交时间：2025/06/25
Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study 期刊论文
SCIENTIFIC REPORTS, 2025, 卷号: 15, 期号: 1, 页码: 10
作者:  Cao, Shuang;  Yu, Sihan;  Huang, Liangbin;  Seery, Samuel;  Xia, Yu;  Zhao, Yongwei;  Si, Zhongzhou;  Zhang, Xinxue;  Zhu, Jiqiao;  Lang, Ren;  Kou, Jiantao;  Zhang, Haiming;  Wei, Lin;  Zhou, Guangpeng;  Sun, Liying;  Wang, Lei;  Li, Ting;  He, Qiang;  Zhu, Zhijun
收藏  |  浏览/下载：4/0  |  提交时间：2025/06/25
Hepatocellular carcinoma  Liver transplantation  Recurrence predictive models  Deep learning  DeepSurv  
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 789-800
作者:  He, Yuting;  Chen, Yiqiang;  Yang, XiaoDong;  Yu, Hanchao;  Huang, Yi-Hua;  Gu, Yang
收藏  |  浏览/下载：16/0  |  提交时间：2024/12/06
Data models  Training  Servers  Collaborative work  Adaptation models  Convergence  Feature extraction  Federated learning  knowledge distillation  non-identically distributed  deep learning  catastrophic forgetting  
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 12, 页码: 9004-9022
作者:  Bao, Shilong;  Xu, Qianqian;  Yang, Zhiyong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：1/0  |  提交时间：2025/06/25
Collaborative metric learning (CML)  machine learning  partial AUC optimization  recommendation system  
Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 7, 页码: 5062-5079
作者:  Wen, Peisong;  Xu, Qianqian;  Yang, Zhiyong;  He, Yuan;  Huang, Qingming
收藏  |  浏览/下载：17/0  |  提交时间：2024/12/06
Optimization  Stability analysis  Stochastic processes  Measurement  Standards  Approximation algorithms  Machine learning algorithms  Machine learning  AUPRC  learning to rank  algorithm-dependent generalization  stability  
An effective trajectory planning heuristics for UAV-assisted vessel monitoring system 期刊论文
PEER-TO-PEER NETWORKING AND APPLICATIONS, 2024, 页码: 16
作者:  Zhu, Jie;  Guo, Kaiyu;  He, Pengfei;  Huang, Haiping;  Malekian, Reza;  Sun, Yuzhong
收藏  |  浏览/下载：50/0  |  提交时间：2024/12/06
UAV  Heuristic algorithm  Lin-Kernighan-Helsgaun  Pollution detection  Trajectory planning  
Ground Moving Target Detection With Adaptive Data Reconstruction and Improved Pseudo-Skeleton Decomposition 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 14
作者:  He, Xiongpeng;  Liu, Kun;  Gu, Tong;  Liao, Guisheng;  Zhu, Shengqi;  Xu, Jingwei;  Yu, Yue;  Huang, Hai;  Wang, Xingchen;  Gao, Yingjie;  Tan, Haining;  Qiu, Jibing
收藏  |  浏览/下载：15/0  |  提交时间：2024/12/06
Clutter  Object detection  Sparse matrices  Principal component analysis  Matrix decomposition  Image reconstruction  Estimation  Data reconstruction (DR)  ground moving target indication (GMTI)  joint-pixel model  pseudo-skeleton decomposition (IPSD)  robust principal component analysis (RPCA)  
AUC-Oriented Domain Adaptation: From Theory to Algorithm 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14161-14174
作者:  Yang, Zhiyong;  Xu, Qianqian;  Bao, Shilong;  Wen, Peisong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：25/0  |  提交时间：2024/05/20
AUC-oriented Learning  domain adaptation  machine learning  
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15494-15511
作者:  Yang, Zhiyong;  Xu, Qianqian;  Hou, Wenzheng;  Bao, Shilong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：32/0  |  提交时间：2024/05/20
Optimization  Training  Perturbation methods  Machine learning  Receivers  Machine learning algorithms  Linear programming  AUC Optimization  adversarial learning  machine learning  
Optimizing Two-Way Partial AUC With an End-to-End Framework 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 10228-10246
作者:  Yang, Zhiyong;  Xu, Qianqian;  Bao, Shilong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：35/0  |  提交时间：2023/12/04
AUC Optimization  machine learning  partial AUC