CSpace

浏览/检索结果: 共199条,第1-10条 帮助

已选(0)清除 条数/页:   排序方式:
A survey on deep learning-based algorithms for the traveling salesman problem 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2025, 卷号: 19, 期号: 6, 页码: 30
作者:  Sui, Jingyan;  Ding, Shizhe;  Huang, Xulin;  Yu, Yue;  Liu, Ruizhi;  Xia, Boyang;  Ding, Zhenxin;  Xu, Liming;  Zhang, Haicang;  Yu, Chungong;  Bu, Dongbo
收藏  |  浏览/下载:2/0  |  提交时间:2025/06/25
traveling salesman problem  algorithms design  deep learning  neural network  
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
scCompass: An Integrated Multi-Species scRNA-seq Database for AI-Ready 期刊论文
ADVANCED SCIENCE, 2025, 页码: 16
作者:  Wang, Pengfei;  Liu, Wenhao;  Wang, Jiajia;  Liu, Yana;  Li, Pengjiang;  Xu, Ping;  Cui, Wentao;  Zhang, Ran;  Long, Qingqing;  Hu, Zhilong;  Fang, Chen;  Dong, Jingxi;  Zhang, Chunyang;  Chen, Yan;  Wang, Chengrui;  Liu, Guole;  Xie, Hanyu;  Zhang, Yiyang;  Xiao, Meng;  Chen, Shubai;  Jiang, Haiping;  Chen, Yiqiang;  Yang, Ge;  Zhang, Shihua;  Meng, Zhen;  Wang, Xuezhi;  Feng, Guihai;  Li, Xin;  Zhou, Yuanchun
收藏  |  浏览/下载:5/0  |  提交时间:2025/06/25
AI-ready  multi-species  scRNA-seq database  single-cell  
SGKGE: Semantically Guided Knowledge Graph Embeddings via Complementary Latent Representations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025, 页码: 14
作者:  Liu, Ruizhou;  Cao, Zongsheng;  Wu, Zhe;  Wu, Yiling;  Xu, Qianqian;  Huang, Qingming
收藏  |  浏览/下载:6/0  |  提交时间:2025/06/25
Semantics  Manifolds  Vectors  Training  Tensors  Knowledge graphs  Animals  Translation  Tail  Matrix decomposition  Hyperbolic manifold  knowledge graph embedding (KGE)  
Adaptive and Low-Cost Traffic Engineering: A Traffic Matrix Clustering Perspective 期刊论文
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2025, 卷号: 43, 期号: 2, 页码: 510-523
作者:  Liu, Yi;  Geng, Nan;  Xu, Mingwei;  Yang, Yuan;  Dong, Enhuan;  Liu, Chenyi;  Gan, Qiaoyin;  Li, Qing;  Wu, Jianping
收藏  |  浏览/下载:7/0  |  提交时间:2025/06/25
Routing  Real-time systems  Feature extraction  Computational modeling  Clustering algorithms  Quality of service  Optimization models  Classification algorithms  Transforms  Topology  Traffic engineering  traffic matrix classification  machine learning  
Resistive memory-based zero-shot liquid state machine for multimodal event data learning 期刊论文
NATURE COMPUTATIONAL SCIENCE, 2025, 卷号: 5, 期号: 1, 页码: 37-47
作者:  Lin, Ning;  Wang, Shaocong;  Li, Yi;  Wang, Bo;  Shi, Shuhui;  He, Yangu;  Zhang, Woyu;  Yu, Yifei;  Zhang, Yue;  Zhang, Xinyuan;  Wong, Kwunhang;  Wang, Songqi;  Chen, Xiaoming;  Jiang, Hao;  Zhang, Xumeng;  Lin, Peng;  Xu, Xiaoxin;  Qi, Xiaojuan;  Wang, Zhongrui;  Shang, Dashan;  Liu, Qi;  Liu, Ming
收藏  |  浏览/下载:5/0  |  提交时间:2025/06/25
Enhancing Federated Learning Robustness Using Locally Benignity-Assessable Bayesian Dropout 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2025, 卷号: 20, 页码: 2464-2479
作者:  Xue, Jingjing;  Sun, Sheng;  Liu, Min;  Li, Qi;  Xu, Ke
收藏  |  浏览/下载:5/0  |  提交时间:2025/06/25
Bayes methods  Training  Servers  Data models  Robustness  Distributed databases  Uplink  Convergence  Computational modeling  Recurrent neural networks  Federated learning  Byzantine attack  dropout defense  robust aggregation  
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 16
作者:  Liu, Qingxiang;  Sun, Sheng;  Liang, Yuxuan;  Xu, Xiaolong;  Liu, Min;  Bilal, Muhammad;  Wang, Yuwei;  Li, Xujing;  Zheng, Yu
收藏  |  浏览/下载:3/0  |  提交时间:2025/06/25
Predictive models  Concept drift  Correlation  Forecasting  Computational modeling  Data models  Optimization  Adaptation models  Urban areas  Training  Traffic flow forecasting  federated learning  concept drift  online learning  graph convolution  
Focusing on differences! Sample framework enhances semantic textual similarity with external knowledge 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2024, 卷号: 255, 页码: 10
作者:  Feng, Jianzhou;  Liu, Junxin;  Gu, Chenghan;  Qi, Haotian;  Ren, Zhongcan;  Xu, Kehan;  Wang, Yuanzhuo
收藏  |  浏览/下载:16/0  |  提交时间:2024/12/06
Semantic similarity task  Differential information  Sentence embeddings  
Reinforcement Learning Based Online Request Scheduling Framework for Workload-Adaptive Edge Deep Learning Inference 期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 12, 页码: 13222-13239
作者:  Tan, Xinrui;  Li, Hongjia;  Xie, Xiaofei;  Guo, Lu;  Ansari, Nirwan;  Huang, Xueqing;  Wang, Liming;  Xu, Zhen;  Liu, Yang
收藏  |  浏览/下载:3/0  |  提交时间:2025/06/25
Deep learning  Computational modeling  Adaptation models  Task analysis  Processor scheduling  Schedules  Reinforcement learning  Deep learning inference serving systems  edge computing  efficient deep learning inference  reinforcement learning