中国科学院计算技术研究所机构知识库

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已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序WOS被引频次升序WOS被引频次降序
	Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 6, 页码: 5059-5075 作者:  Zhang, Rui;  Meng, Qi;  Zhu, Rongchan;  Wang, Yue;  Shi, Wenlei;  Zhang, Shihua;  Ma, Zhi-Ming;  Liu, Tie-Yan 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Training  Monte Carlo methods  Spatiotemporal phenomena  Accuracy  Probabilistic logic  Neural networks  Numerical models  Mathematical models  Finite difference methods  Diffusion processes  Neural PDE solver  Monte Carlo method  Feynman-Kac formula  AI for PDE
	Incorporating NODE with pre-trained neural differential operator for learning dynamics 期刊论文 NEUROCOMPUTING, 2023, 卷号: 528, 页码: 48-58 作者:  Gong, Shiqi;  Meng, Qi;  Wang, Yue;  Wu, Lijun;  Chen, Wei;  Ma, Zhiming;  Liu, Tie-Yan 收藏  |  浏览/下载：60/0  |  提交时间：2023/07/12 Neural ODE  Learning dynamics  Neural operator
	Stabilize deep ResNet with a sharp scaling factor tau 期刊论文 MACHINE LEARNING, 2022, 页码: 34 作者:  Zhang, Huishuai;  Yu, Da;  Yi, Mingyang;  Chen, Wei;  Liu, Tie-Yan 收藏  |  浏览/下载：59/0  |  提交时间：2022/12/07
	CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction 期刊论文 NATURE COMMUNICATIONS, 2021, 卷号: 12, 期号: 1, 页码: 9 作者:  Ju, Fusong;  Zhu, Jianwei;  Shao, Bin;  Kong, Lupeng;  Liu, Tie-Yan;  Zheng, Wei-Mou;  Bu, Dongbo 收藏  |  浏览/下载：72/0  |  提交时间：2021/12/01
	Information retrieval: a view from the Chinese IR community 期刊论文 FRONTIERS OF COMPUTER SCIENCE, 2020, 卷号: 15, 期号: 1, 页码: 15 作者:  Chen, Zhumin;  Cheng, Xueqi;  Dong, Shoubin;  Dou, Zhicheng;  Guo, Jiafeng;  Huang, Xuanjing;  Lan, Yanyan;  Li, Chenliang;  Li, Ru;  Liu, Tie-Yan;  Liu, Yiqun;  Ma, Jun;  Qin, Bing;  Wang, Mingwen;  Wen, Jirong;  Xu, Jun;  Zhang, Min;  Zhang, Peng;  Zhang, Qi 收藏  |  浏览/下载：100/0  |  提交时间：2020/12/10 information retrieval  redefinition  information  scope of retrieval  retrieval models  users  system architecture  evaluation
	Selecting optimal training data for learning to rank 期刊论文 INFORMATION PROCESSING & MANAGEMENT, 2011, 卷号: 47, 期号: 5, 页码: 730-741 作者:  Geng, Xiubo;  Qin, Tao;  Liu, Tie-Yan;  Cheng, Xue-Qi;  Li, Hang 收藏  |  浏览/下载：102/0  |  提交时间：2019/12/16 Learning to rank  Selecting optimal training data