冯钧｜河海大学｜学者主页

2026

PQMT: Position-aware Network and Qualifier-Interactive Attention for multi-task hyper-relation extraction

Tingting Hang, Haichao Ding, Qi Tang, Jun Feng

Information Processing & Management，Vol. 53, No. 2

DOI

2026

基于滑动窗口采样技术和DTWCorr距离度量的多元时间序列分割方法研究

侯开明，岳疆陶，柳飞扬，汪浩航，冯钧

《水利信息化》

DOI

2026

Streamflow Prediction of Spatio-Temporal Graph Neural Network with Feature Enhancement Fusion

Le Yan, Dacheng Shan, Xiaorui Zhu, Lingling Zheng, Hongtao Zhang, Ying Li, Jing Li, Tingting Hang, Jun Feng

Symmetry

DOI

2025

时序知识图谱构建研究综述

陆佳民，张晶，冯钧，安琪

《计算机科学与探索》

2025

基于人工智能技术的水库防洪调度决策模式研究

李磊，冯钧，直伟，周思源，李林宜，孟令奎

《水利信息化》

DOI

2025

基于模体的水文多元时间序列关联规则挖掘方法研究

石永强，任剑波，毛嘉翔，王晟，杨雯，冯钧

《水利信息化》

DOI

2025

“认知数字孪生流域”框架与关键技术

唐海麟，冯钧，周思源

《中国水利》

2025

持续关系抽取方法研究综述

杭婷婷，郭亚，李德胜，冯钧

《计算机工程与应用》

2025

物理引导数据驱动方法研究综述及其在水文模型构建中的应用与展望

冯钧，邵萍萍，张继茹，刘学毅

《河海大学学报(自然科学版)》

2025

大语言模型发展研究及其在防洪“四预”平台智能交互的应用探讨

郭磊，冯钧，直伟，周思源

《中国水利》

2025

基于认知智能的水循环过程模拟框架与关键技术

冯钧，唐海麟，周思源，巫义锐，侯爱中，陆佳民，王文鹏

《人民长江》

DOI

2025

Intelligent and Efficient Single-Stage Sluice Scheduling via Reinforcement Learning

Jun Feng, Yanan Lu, Jiamin Lu, Guo-Zhu Zhu, Wei Zhou

IEEE International Performance, Computing, and Communications Conference

DOI

2025

GAPrompt: A soft prompt compression model for few-shot relation extraction

Tingting Hang, Wei Wu, Shuting Liu, Jun Feng, Hamza Djigal

Knowledge-Based Systems

DOI

2025

Knowledge-guided and data-driven flood prediction based on Besov space optimization

Pingping Shao, Jun Feng, Yang Cai, Jianxin Zhang, Aizhong Hou

Information Sciences

DOI

2025

A data-driven and expert flood knowledge model based on the development of the Huber loss function for flood forecasting

Haider Malik, Jun Feng, Pingping Shao, Zaid Ameen Abduljabbar

Water Research

DOI

2025

Few-Shot Relation Extraction Based on Prompt Learning: A Taxonomy, Survey, Challenges and Future Directions

Tingting Hang, Shuting Liu, Jun Feng, Hamza Djigal, Jun Huang

ACM Computing Surveys

DOI

2025

WTHFL: Coarse- to Fine-Grained Hierarchical Feature Learning for Flood Forecasting

Xueyi Liu, Jun Feng, Haiyue Tong, Dongyu Wang, Pingping Shao

DOI

2025

A survey of Few-Shot Relation Extraction combining meta-learning with prompt learning

Tingting Hang, Wei Wu, Jun Feng, Hamza Djigal, Jun Huang

Neurocomputing

DOI

2024

Data-driven and knowledge-guided denoising diffusion model for flood forecasting

Pingping Shao, Jun Feng, Jiamin Lu, Pengcheng Zhang, Chenxin Zou

Expert Systems With Applications，Vol. 244

DOI

2024

基于大语言模型辅助的防洪调度规则标签设计方法

冯钧，吕志鹏，范振东，孔旭，陆佳民，周思源

《水利学报》

2024

基于大语言模型的水工程调度知识图谱的构建与应用

冯钧，畅阳红，陆佳民，唐海麟，吕志鹏，邱钰淳

《计算机科学与探索》

2024

面向数字孪生椒江的知识融合抽取技术研究

王栋，陈潇，童海玥，周思源，陆佳民，刘嘉灏，李增焕，冯钧

《地方水利技术的应用与实践》

2024

Interpretable spatial-temporal attention convolutional network for rainfall forecasting

Pingping Shao, Jun Feng, Pengcheng Zhang, Jiamin Lu

Computational Geosciences

DOI

2024

Data-driven and knowledge-guided denoising diffusion probabilistic model for runoff uncertainty prediction

Pingping Shao, Jun Feng, Jiamin Lu, Zhixian Tang

Journal of Hydrology

DOI

2024

Reservoir Optimization Scheduling Driven by Knowledge Graphs

Hailin Tang, Jun Feng, Siyuan Zhou

Electronics

DOI

2024

Improving flood forecasting using time-distributed CNN-LSTM model: a time-distributed spatiotemporal method

Haider Malik, Jun Feng, Pingping Shao, Zaid Ameen Abduljabbar

Earth Science Informatics

DOI

2023

面向数字孪生流域的知识平台构建关键技术

冯钧，朱跃龙，王云峰，周思源

《人民长江》

2023

Data-Driven and Knowledge-Guided Heterogeneous Graphs and Temporal Convolution Networks for Flood Forecasting

Pingping Shao, Jun Feng, Yi-Rui Wu, Wenpeng Wang, Jiamin Lu

Applied Sciences

DOI

2023

Generic Ontologies for Digital Watersheds

Hailin Tang, Jun Feng, Siyuan Zhou

International Conference on Big Data Economy and Information Management (BDEIM)

DOI

2023

Distribution-Adaptive Graph Attention Networks for Flood Forecasting

Jun Feng, Yuanhui Mao

Lecture notes in computer science

DOI

2022

问答系统中复杂问题分解方法研究综述

冯钧，李艳，杭婷婷

《计算机工程与应用》

2022

文档级实体关系抽取方法研究综述

冯钧，魏大保，苏栋，杭婷婷，陆佳民

《计算机科学》

2022

建设数字孪生秦淮河实现流域管理“四预”能力

朱跃龙，冯钧，李致家，张珂，左翔，刘修恒

《江苏水利》

2022

Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting

Jun Feng, Haichao Sha, Yukai Ding, Le Yan, Zhangheng Yu

2022 International Joint Conference on Neural Networks (IJCNN)

DOI

2021

Joint extraction of entities and overlapping relations using source-target entity labeling

Tingting Hang, Jun Feng, Yirui Wu, Le Yan, Yunfeng Wang

Expert Systems With Applications，Vol. 177

DOI

2021

知识图谱构建技术:分类、调查和未来方向

杭婷婷，冯钧，陆佳民

《计算机科学》

2021

领域知识图谱研究进展及其在水利领域的应用

冯钧，杭婷婷，陈菊，王云峰，王秉发，张涛

《河海大学学报(自然科学版)》

2021

FEE: An Event Extraction Model for Flood and Drought Disaster Based on Sequence Labeling

Zulong Ma, Jiamin Lu, Wei Wu, Jun Feng

International Conference on Cybernetics, Robotics and Control

DOI

2021

Spatial and Temporal Aware Graph Convolutional Network for Flood Forecasting

Jun Feng, Zhongyi Wang, Yirui Wu, Yuqi Xi

DOI

2021

Flow interval prediction based on deep residual network and lower and upper boundary estimation method

Le Yan, Jun Feng, Tingting Hang, Yuelong Zhu

Applied Soft Computing

DOI

2020

Semantic trajectory segmentation based on change-point detection and ontology

Yuan Gao, Longfei Huang, Jun Feng, Xin Wang

International Journal Of Geographical Information Science，Vol. 340, No. 12

DOI

2020

三种机器学习模型在太湖藻华面积预测中的应用

吴娟，朱跃龙，金松，杨涛，冯钧，吴志勇，薛涛，姜悦美

《河海大学学报(自然科学版)》

2020

基于Bootstrapping的水利空间关系词提取

相颖，冯钧，夏珮珮，陆佳民

《计算机科学》

2020

城市内涝事理图谱构建方法及应用

冯钧，王云峰，邬炜，朱跃龙

《河海大学学报(自然科学版)》

2020

时空多特征流域场景模式库构建方法

巫义锐，汪浩航，魏大保，冯钧

《河海大学学报(自然科学版)》

2020

组合式水文模型建模方法综述

周琦，朱跃龙，陆佳民，冯钧

《国外电子测量技术》

DOI

2020

面向水利信息资源的智能问答系统构建与应用

张紫璇，陆佳民，姜笑，冯钧

《计算机与现代化》

2020

Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds

Yuelong Zhu, Jun Feng, Le Yan, Tao Guo, Xiaodong Li

IEEE Access

DOI

2020

Interpretable spatio-temporal attention LSTM model for flood forecasting

Yukai Ding, Yuelong Zhu, Jun Feng, Pengcheng Zhang, Zirun Cheng

Neurocomputing

DOI

2020

SMOTE-Boost-based sparse Bayesian model for flood prediction

Yirui Wu, Yukai Ding, Jun Feng

EURASIP Journal on Wireless Communications and Networking

DOI

2020

Time Series Segmentation of Flood Flow Based on Bi-LG-LSTM Neural Network

Jun Feng, Haohang Wang, Yirui Wu

DOI

2020

Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution

Yirui Wu, Yukai Ding, Yuelong Zhu, Jun Feng, Sifeng Wang

Complexity

DOI

2020

Attention Neural Network for Water Image Classification under IoT Environment

Yirui Wu, Xuyun Zhang, Xiao Lan Yao, Jun Feng

Applied Sciences

DOI

2020

Data-Driven Fast Real-Time Flood Forecasting Model for Processing Concept Drift

Le Yan, Jun Feng, Yirui Wu, Tingting Hang

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

DOI

2020

Time-Varying Water Quality Analysis with Semantical Mining Technology

Jun Feng, Qinghan Yu, Yirui Wu

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

DOI

2019

水利信息知识图谱的构建与应用

冯钧，徐新，陆佳民

《计算机与现代化》

2019

融合多特征的中文集成实体链接方法

冯钧，柳菁铧，孔盛球

《计算机与现代化》

2019

Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention

Jun Feng, Le Yan, Ting-ting Hang

IEEE Access

DOI

2019

Prediction of Flow Flooding in Changhua River Based on Time Series Models

Fathi Abdulhakim, Jun Feng

IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

DOI

2019

Spatio-Temporal Attention LSTM Model for Flood Forecasting

Yukai Ding, Yuelong Zhu, Yirui Wu, Jun Feng, Zirun Cheng

DOI

2019

Sparse Bayesian Flood Forecasting Model Based on SMOTEBoost

Yirui Wu, Ding Yukai, Jun Feng

DOI

2019

Using LSTM GRU and Hybrid Models for Streamflow Forecasting

Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

DOI

2019

Small Watershed Stream-Flow Forecasting Based on LSTM

Le Yan, Jun Feng, Tingting Hang

Advances in intelligent systems and computing

DOI

2019

Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review

Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

DOI

2019

Water Sound Recognition Based on Support Vector Machine

Tingting Hang, Jun Feng, Xiaodong Li, Le Yan

Advances in intelligent systems and computing

DOI

2019

Hierarchically Channel-Wise Attention Model for Clean and Polluted Water Images Classification

Yirui Wu, Yao Xiao, Jun Feng

Lecture notes in computer science

DOI

2018

新安江模型和支持向量机模型实时洪水预报应用比较

霍文博，朱跃龙，李致家，冯钧，周莉，孔俊

《河海大学学报(自然科学版)》

2018

一种LSTM-BP多模型组合水文预报方法

冯钧，潘飞

《计算机与现代化》

2018

基于模式挖掘的中小河流暴雨洪水模式库

冯钧，郭涛，陈志飞

《计算机与现代化》

2018

Hierarchical Bayesian Network Based Incremental Model for Flood Prediction

Yirui Wu, Weigang Xu, Qinghan Yu, Jun Feng, Tong Lü

Lecture notes in computer science

DOI

2018

Context-Aware Attention LSTM Network for Flood Prediction

Yirui Wu, Zhaoyang Liu, Weigang Xu, Jun Feng, Palaiahnakote Shivakumara, Tong Lü

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

DOI

2018

Local and Global Bayesian Network based Model for Flood Prediction

Yirui Wu, Weigang Xu, Jun Feng, Palaiahnakote Shivakumara, Tong Lü

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

DOI

2018

Context and Temporal Aware Attention Model for Flood Prediction

Zhaoyang Liu, Yirui Wu, Yukai Ding, Jun Feng, Tong Lü

Lecture notes in computer science

DOI

2017

水利大数据目录服务与资源共享关键技术研究

陆佳民，冯钧，唐志贤，张鹏程

《水利信息化》

2017

一种基于映射机制的水利信息资源检索方法

刘艺，冯钧，唐志贤，陈志飞，徐欢，张立霞

《信息技术》

2017

面向海量水利数据的索引方法研究

冯钧，徐维纲，冯读庆，陆佳民，徐欢

《计算机与现代化》

2017

水利元数据动态分面搜索引擎的设计与实现

孔盛球，冯钧，杜丙帅

《计算机技术与发展》

2017

Research on Faceted Search Method for Water Data Catalogue Service

Jun Feng, Shengqiu Kong, Bing-Shuai Du, Jiamin Lu

International Conference on Cyber Security and Cloud Computing

DOI

2016

跨内外网的数据资源整合与共享关键技术研究

冯钧，佟瑶，陆佳民，沈光泽

《水利信息化》

2016

A new algorithm for water information extraction from high resolution remote sensing imagery

Shijin Li, Shengte Wang, Zhan Zheng, Dingsheng Wan, Jun Feng

Proceedings - International Conference on Image Processing

DOI

2016

A New Symbolization and Distance Measure Based Anomaly Mining Approach for Hydrological Time Series

Pengcheng Zhang, Yan Xiao, Yuelong Zhu, Jun Feng, Dingsheng Wan, Wenrui Li, HARETON K. N. LEUNG

International Journal of Web Services Research

DOI

2016

RH: An improved AMH aggregate query method

Zhixian Tang, Jun Feng, Zhonghua Zhu, Yaqing Shi, Jiamin Lu

Intelligent Automation & Soft Computing

DOI

2015

A Bottom-up Algorithm for XML Twig Queries

Tang Zhi-xian, Jun Feng, Liming Xu, Shi Ya-qing

International Journal of Database Theory and Application

DOI

2015

UPBI An Efficient Index for Continues Probabilistic Range Query of Moving Objects on Road Network

Yaqing Shi, Jun Feng, Zhixian Tang

International Journal of Multimedia and Ubiquitous Engineering

DOI

2014

水利数据中心数据交换平台设计探讨

冯钧，唐志贤，盛震宇，史涯晴

《水利信息化》

2014

水利数据资源目录服务关键技术研究

成建国，冯钧，杨鹏，唐志贤

《水利信息化》

2014

Index and Query Methods in Road Networks

Jun Feng, Toyohide Watanabe

Smart innovation, systems and technologies

DOI

2014

HQ-Tree: A distributed spatial index based on Hadoop

Jun Feng, Zhixian Tang, Mian Wei, Liming Xu

China Communications

DOI

2014

Hydrological Time Series Anomaly Mining Based on Symbolization and Distance Measure

Dingsheng Wan, Yan Xiao, Pengcheng Zhang, Jun Feng, Yuelong Zhu, Qian Liu

IEEE International Congress on Big Data (BigData Congress)

DOI

2014

A Novel Method for Predictive Aggregate Queries over Data Streams in Road Networks Based on STES Methods

Jun Feng, Yaqing Shi, Zhixian Tang, Caihua Rui, Xurong Min

Lecture notes in computer science

DOI

2013

水利大数据及其资源化关键技术研究

冯钧，许潇，唐志贤，徐黎明

《水利信息化》

2013

A new spatio-temporal prediction approach based on aggregate queries

Jun Feng, Zhonghua Zhu, Yaqing Shi, Liming Xu

International Journal of Knowledge and Web Intelligence

DOI

2012

水文时间序列模体挖掘

朱跃龙，彭力，李士进，冯钧

《水利学报》

2012

Modified Histogram: A Spatio-temporal Aggregate Index for Moving Objects in Road Networks

Jun Feng, Zhonghua Zhu

Procedia Engineering

DOI

2012

Research on hydrological time series motifs mining

Jun Feng

Journal of Hydraulic Engineering

2011

水利信息资源元数据管理方法研究

冯钧，唐志贤，黄如春，成建国，韦冕，卞一路，顾忠国，徐黎明

《水利信息化》

2011

水利信息资源目录服务元数据定义研究

冯钧，唐志贤，朱跃龙，韦冕，卞一路，史涯晴

《水利信息化》

2011

Research on Directory Service Metadata Definition of Water Information Resources

Jun Feng

2011

Research on Management Approaches for Water Information Resources Metadata

Jun Feng

2010

水利信息资源目录体系构建研究

朱跃龙，许峰，冯钧，周晓峰

《水利信息化》

2009

Constrained Clustering Objects on a Spatial Network

Wenting Liu, Jun Feng, Zhijian Wang

DOI

2009

DynSketch: a spatio-temporal aggregate index for moving objects in road networks

Jun Feng, Chunyan Lu, Shimin Xu, Toyohide Watanabe

International Journal of Intelligent Defence Support Systems

DOI

2008

Multi-Granularity Aggregation Index for Data Stream

Jun Feng, Ying Wang, Jiayu Yao, Toyohide Watanabe

International Conference on Cyberworlds (CW)

DOI

2008

Continuous Clustering of Moving Objects in Spatial Networks

Wenting Liu, Zhijian Wang, Jun Feng

Lecture notes in computer science

DOI

2008

Route Optimization Using Q-Learning for On-Demand Bus Systems

Naoto Mukai, Toyohide Watanabe, Jun Feng

Lecture notes in computer science

DOI

2008

Index Method for Tracking Network-Constrained Moving Objects

Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe

Lecture notes in computer science

DOI

2008

Sketch RR-Tree: A Spatio-Temporal Aggregation Index for Network-Constrained Moving Objects

Jun Feng, Chunyan Lu, Ying Wang, Toyohide Watanabe

International Conference on Innovative Computing, Information and Control

DOI

2008

Multi-thresholds Clustering Objects in a Road Network

Wenting Liu, Jun Feng, Zhijian Wang, Hao Shan

DOI

2008

Improved partition method for tracking moving objects in road networks

Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe

International Journal of Advanced Intelligence Paradigms

DOI

2008

Constraint Clustering Based on a Road Network

Jun Feng

Computer Engineering and Science

2007

多专题多比例尺水系河网管理模型研究

冯钧，朱跃龙，徐建峰

《水利学报》

DOI

2007

Continuous k-Nearest Neighbor Search Under Mobile Environment

Jun Feng, Linyan Wu, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe

Springer eBooks

DOI

2007

Indexing of Moving Objects on Road Network Using Composite Structure

Jun Feng, Jiamin Lu, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe

Lecture notes in computer science

DOI

2006

Search on transportation networks for location-based service

Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe

Applied Intelligence

DOI

2006

R-Tree Based Optimization Algorithm for Dynamic Transport Problem

Naoto Mukai, Toyohide Watanabe, Jun Feng

Lecture notes in computer science

DOI

2006

NCO-Tree: A Spatio-temporal Access Method for Segment-Based Tracking of Moving Objects

Yuelong Zhu, Xiang Ren, Jun Feng

Lecture notes in computer science

DOI

2006

The Reasoning and Analysis of Spatial Direction Relation Based on Voronoi Diagram

Yongqing Yang, Jun Feng, Zhijian Wang

Lecture notes in computer science

DOI

2006

Forecasting Region Search of Moving Objects

Jun Feng, Linyan Wu, Yuelong Zhu, Toyohide Watanabe

Lecture notes in computer science

DOI

2006

Simulation Analysis for On-Demand Transport Vehicles Based on Game Theory

Naoto Mukai, Jun Feng, Toyohide Watanabe

Lecture notes in computer science

DOI

2005

Search on Transportation Network for Location-Based Service

Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe

Lecture notes in computer science

DOI

2005

Proactive route planning based on expected rewards for transport systems

Naoto Mukai, T. Watanabe, Jun Feng

Proceedings - International Conference on Tools with Artificial Intelligence, TAI

DOI

2005

Integrated Management of Multi-level Road Network and Transportation Networks

Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe

Lecture notes in computer science

DOI

2005

Stepwise Optimization Method for k-CNN Search for Location-Based Service

Jun Feng, Naoto Mukai, Toyohide Watanabe

Lecture notes in computer science

DOI

2005

Behavioral decision based on abstraction of pheromone distribution for transport vehicles

Naoto Mukai, Takashi Watanabe, Jun Feng

Proceedings - International Conference on Tools with Artificial Intelligence, TAI

DOI

精选作品

期刊论文

PQMT: Position-aware Network and Qualifier-Interactive Attention for multi-task hyper-relation extraction

基于滑动窗口采样技术和DTWCorr距离度量的多元时间序列分割方法研究

Streamflow Prediction of Spatio-Temporal Graph Neural Network with Feature Enhancement Fusion

时序知识图谱构建研究综述

基于人工智能技术的水库防洪调度决策模式研究

基于模体的水文多元时间序列关联规则挖掘方法研究

“认知数字孪生流域”框架与关键技术

持续关系抽取方法研究综述

物理引导数据驱动方法研究综述及其在水文模型构建中的应用与展望

大语言模型发展研究及其在防洪“四预”平台智能交互的应用探讨

基于认知智能的水循环过程模拟框架与关键技术

Intelligent and Efficient Single-Stage Sluice Scheduling via Reinforcement Learning

GAPrompt: A soft prompt compression model for few-shot relation extraction

Knowledge-guided and data-driven flood prediction based on Besov space optimization

A data-driven and expert flood knowledge model based on the development of the Huber loss function for flood forecasting

Few-Shot Relation Extraction Based on Prompt Learning: A Taxonomy, Survey, Challenges and Future Directions

WTHFL: Coarse- to Fine-Grained Hierarchical Feature Learning for Flood Forecasting

A survey of Few-Shot Relation Extraction combining meta-learning with prompt learning

Data-driven and knowledge-guided denoising diffusion model for flood forecasting

基于大语言模型辅助的防洪调度规则标签设计方法

基于大语言模型的水工程调度知识图谱的构建与应用

面向数字孪生椒江的知识融合抽取技术研究

Interpretable spatial-temporal attention convolutional network for rainfall forecasting

Data-driven and knowledge-guided denoising diffusion probabilistic model for runoff uncertainty prediction

Reservoir Optimization Scheduling Driven by Knowledge Graphs

Improving flood forecasting using time-distributed CNN-LSTM model: a time-distributed spatiotemporal method

面向数字孪生流域的知识平台构建关键技术

Data-Driven and Knowledge-Guided Heterogeneous Graphs and Temporal Convolution Networks for Flood Forecasting

Generic Ontologies for Digital Watersheds

Distribution-Adaptive Graph Attention Networks for Flood Forecasting

问答系统中复杂问题分解方法研究综述

文档级实体关系抽取方法研究综述

建设数字孪生秦淮河实现流域管理“四预”能力

Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting

Joint extraction of entities and overlapping relations using source-target entity labeling

知识图谱构建技术:分类、调查和未来方向

领域知识图谱研究进展及其在水利领域的应用

FEE: An Event Extraction Model for Flood and Drought Disaster Based on Sequence Labeling

Spatial and Temporal Aware Graph Convolutional Network for Flood Forecasting

Flow interval prediction based on deep residual network and lower and upper boundary estimation method

Semantic trajectory segmentation based on change-point detection and ontology

三种机器学习模型在太湖藻华面积预测中的应用

基于Bootstrapping的水利空间关系词提取

城市内涝事理图谱构建方法及应用

时空多特征流域场景模式库构建方法

组合式水文模型建模方法综述

面向水利信息资源的智能问答系统构建与应用

Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds

Interpretable spatio-temporal attention LSTM model for flood forecasting

SMOTE-Boost-based sparse Bayesian model for flood prediction

Time Series Segmentation of Flood Flow Based on Bi-LG-LSTM Neural Network

Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution

Attention Neural Network for Water Image Classification under IoT Environment

Data-Driven Fast Real-Time Flood Forecasting Model for Processing Concept Drift

Time-Varying Water Quality Analysis with Semantical Mining Technology

水利信息知识图谱的构建与应用

融合多特征的中文集成实体链接方法

Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention

Prediction of Flow Flooding in Changhua River Based on Time Series Models

Spatio-Temporal Attention LSTM Model for Flood Forecasting

Sparse Bayesian Flood Forecasting Model Based on SMOTEBoost

Using LSTM GRU and Hybrid Models for Streamflow Forecasting

Small Watershed Stream-Flow Forecasting Based on LSTM

Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review

Water Sound Recognition Based on Support Vector Machine

Hierarchically Channel-Wise Attention Model for Clean and Polluted Water Images Classification

新安江模型和支持向量机模型实时洪水预报应用比较

一种LSTM-BP多模型组合水文预报方法

基于模式挖掘的中小河流暴雨洪水模式库

Hierarchical Bayesian Network Based Incremental Model for Flood Prediction

Context-Aware Attention LSTM Network for Flood Prediction

Local and Global Bayesian Network based Model for Flood Prediction

Context and Temporal Aware Attention Model for Flood Prediction

水利大数据目录服务与资源共享关键技术研究

一种基于映射机制的水利信息资源检索方法

面向海量水利数据的索引方法研究

水利元数据动态分面搜索引擎的设计与实现

Research on Faceted Search Method for Water Data Catalogue Service