刘杰｜南开大学｜学者主页

期刊论文

2026

基于RT-DETR的无人机航拍图像小目标检测算法

刘杰，李志文，张腾庆，谢明山

《电子测量技术》

DOI

2026

基于神经网络的电缆局部放电故障智能识别

刘杰，张海龙，魏大帅，王京保

《计算机仿真》

2024

融合机器学习与SHAP值算法的居民需求响应个体异质性因素挖掘与应用研究

王兆华，刘杰，王博，邓娜娜，聂富华

《系统工程理论与实践》，Vol. 44, No. 7

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2024

融合问题分类与RoBERTa的答案选择方法

何丽，柳岚清，刘杰，段建勇，王昊

《数据分析与知识发现》，Vol. 8

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2022

基于义原知识和双向注意力流的问题生成模型

段建勇，徐丽闪，刘杰，李欣，张家铭，王昊

《数据分析与知识发现》，Vol. 6, No. 5

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2019

Network Embedding with Dual Generation Tasks

Jie Liu, Na Li, Zhicheng He

International Joint Conference on Artificial Intelligence

DOI

2018

科学大数据智能分析软件的现状与趋势

钟华，刘杰，王伟

《中国科学院院刊》，Vol. 33, No. 8

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2016

Convolutional neural random fields for action recognition

Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang

Pattern Recognition

DOI

2010

Cost-Sensitive Listwise Ranking Approach

Min Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang

Lecture notes in computer science

DOI

2010

Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank

Min Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang

Lecture notes in computer science

DOI

2009

An efficient Ranking SVM based on the transitivity of partial order

Jie Liu, Yang Wang, Dong Li, Yalou Huang

International Conference on Machine Learning and Cybernetics

DOI

2009

Ranking with Query Influence Weighting for document retrieval

Zhen Liao, Ya Lou Huang, Mao Qiang Xie, Jie Liu, Yang Wang, Min Lu

International Conference on Machine Learning and Cybernetics

DOI

预印本

2025

Shylock: Causal Discovery in Multivariate Time Series based on Hybrid Constraints

Shuo Li, Keqin Xu, Jie Liu, Dan Ye

arXiv preprint

2025

Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data

Jie Liu, Yongqiang Wang

arXiv preprint

2024

Detecting Anomalies in Dynamic Graphs via Memory enhanced Normality

Jie Liu, Xuequn Shang, Xiaolin Han, Kai Zheng, Hongzhi Yin

arXiv preprint

2024

Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task

Jie Liu, Yao Wu, Xiaotong Luo, Zongze Wu

arXiv preprint

2023

Imbalanced Node Classification Beyond Homophilic Assumption

Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin

arXiv preprint

2023

Data valuation: The partial ordinal Shapley value for machine learning

Jie Liu, Peizheng Wang, Chao Wu

arXiv preprint

2023

EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series

Jie Liu, Qilin Li, Senjian An, Bradley Ezard, Ling Li

arXiv preprint

2023

BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection

Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin

arXiv preprint

2019

Understanding and Improving Proximity Graph based Maximum Inner Product Search

Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang

arXiv preprint

2018

Norm-Range Partition: A Universal Catalyst for LSH based Maximum Inner Product Search (MIPS)

Xiao Yan, Xinyan Dai, Jie Liu, Kaiwen Zhou, James Cheng

arXiv preprint

刘杰

精选作品

期刊论文

基于RT-DETR的无人机航拍图像小目标检测算法

基于神经网络的电缆局部放电故障智能识别

融合机器学习与SHAP值算法的居民需求响应个体异质性因素挖掘与应用研究

融合问题分类与RoBERTa的答案选择方法

基于义原知识和双向注意力流的问题生成模型

Network Embedding with Dual Generation Tasks

科学大数据智能分析软件的现状与趋势

Convolutional neural random fields for action recognition

Cost-Sensitive Listwise Ranking Approach

Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank

An efficient Ranking SVM based on the transitivity of partial order

Ranking with Query Influence Weighting for document retrieval

预印本

Shylock: Causal Discovery in Multivariate Time Series based on Hybrid Constraints

Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data

Detecting Anomalies in Dynamic Graphs via Memory enhanced Normality

Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task

Imbalanced Node Classification Beyond Homophilic Assumption

Data valuation: The partial ordinal Shapley value for machine learning

EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series

BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection

Understanding and Improving Proximity Graph based Maximum Inner Product Search

Norm-Range Partition: A Universal Catalyst for LSH based Maximum Inner Product Search (MIPS)

研究方向