高强｜西南财经大学｜学者主页

2026

Maximizing mutual information in multi-view representation learning for next POI prediction

Tuohang Li, Jiajing Yu, Jianyong Zhao, Yanzhe Xie, Li Huang, Qiang Gao

Neural Networks

DOI

2026

Alleviating Forgetting in Fine-Grained Urban Flow Inference via Incremental Neural Operator

Qiang Gao, Xiaolong Song, Li Huang, Goce Trajcevski, Fan Zhou, Xueqin Chen

ACM Transactions on Intelligent Systems and Technology

DOI

2026

Dual-Offset Trajectory Recovery on Roads With Dynamic Transition Probability

Li Huang, Letian Ning, Chaoran Liu, Rong Zhang, Qiang Gao, Goce Trajcevski

IEEE Transactions on Intelligent Transportation Systems

DOI

2026

Frequency-Aware Dynamic Graph Learning Via Pseudo-Spectral Decomposition for Metro Flow Forecasting

Yanzhe Xie, Tuohang Li, Heng Wang, Yujun Ge, Li Huang, Qiang Gao

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2026

Understanding Interactive Stock Dynamics via Sensitivity-Aware Dependency Learning

Li Huang, Yanzhe Xie, Zizheng Wang, Qiang Gao, Kunpeng Zhang, Philip S. Yu

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Aligning Authentic Location Shares With Mobility Information Bottleneck

Qiang Gao, Letian Ning, Li Huang, Chaoran Liu, Xueqin Chen, Fan Zhou

IEEE Transactions on Big Data

DOI

2025

创业生态系统视域下区域经济新质化发展路径研究

高强，李飘飘

《上海管理科学》

2025

Enhancing Urban Region Representation via Adaptive Risk-aware Consensus Learning

Li Huang, Yujie Wu, Xiaolong Song, Qiang Gao, Goce Trajcevski, Xueqin Chen

ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL)

DOI

2025

Probabilistic Bayesian learning with long-tail awareness for trajectory-user linking

Haolun Ding, Zhengwen Fu, Rong Zhang, Li Huang, Xuan Luo, Qiang Gao

Neural Networks

DOI

2025

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Guisong Liu, Xueqin Chen

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting

Li Huang, Yanzhe Xie, Qiang Gao, Kunpeng Zhang, Guisong Liu, Xueqin Chen

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2024

Learning to discover anomalous spatiotemporal trajectory via Open-world State Space model

Qiang Gao, Chaoran Liu, Li Huang, Goce Trajcevski, Qing Guo, Fan Zhou

Knowledge-Based Systems

DOI

2024

Relational Stock Selection via Probabilistic State Space Learning

Qiang Gao, Zhengxiang Liu, Li Huang, Kunpeng Zhang, Jun Wang, Guisong Liu

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap

Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Kunpeng Zhang, Xueqin Chen

ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL)

DOI

2024

Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer

Yujie Li, Xin Yang, Qiang Gao, Hao Wang, Junbo Zhang, Tianrui Li

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion

Li Huang, Pei Li, Qiang Gao, Guisong Liu, Zhipeng Luo, Tianrui Li

Neural Networks

DOI

2024

Self-Explainable Next POI Recommendation

Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong J. Wang, Fan Zhou

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks

Qiang Gao, Xinzhu Zhou, Li Huang, Kunpeng Zhang, Siyuan Liu, Fan Zhou

Information Fusion

DOI

2024

Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)

Jinyu Hong, Ping Kuang, Qiang Gao, Fan Zhou

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)

Hongzhu Fu, Fan Zhou, Qing Guo, Qiang Gao

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

Predicting Human Mobility via Self-Supervised Disentanglement Learning

Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Inferring Real Mobility in Presence of Fake Check-ins Data

Qiang Gao, Hongzhu Fu, Kunpeng Zhang, Goce Trajcevski, Teng Xu, Fan Zhou

ACM Transactions on Intelligent Systems and Technology

DOI

2023

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference

Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski

IEEE Transactions on Big Data

DOI

2023

Open Anomalous Trajectory Recognition via Probabilistic Metric Learning

Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang, Fan Zhou

International Joint Conference on Artificial Intelligence

DOI

2023

Cross-Regional Fraud Detection via Continual Learning (Student Abstract)

Yujie Li, Yuxuan Yang, Qiang Gao, Xin Yang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract)

Jinyu Hong, Fan Zhou, Qiang Gao, Ping Kuang, Kunpeng Zhang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction

Qiang Gao, Hongzhu Fu, Yutao Wei, Li Huang, Xingmin Liu, Guisong Liu

Lecture notes in computer science

DOI

2023

HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning

Li Huang, Kai Liu, Chaoran Liu, Qiang Gao, Xiao Zhou, Guisong Liu

Lecture notes in computer science

DOI

2022

Multi-granularity stock prediction with sequential three-way decisions

Xin Yang, Metoh Adler Loua, Meijun Wu, Li Huang, Qiang Gao

Information Sciences

DOI

2022

Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion

Qiang Gao, Wei Wang, Li Huang, Xin Yang, Tianrui Li, Hamido Fujita

Information Fusion

DOI

2022

When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility

Qiang Gao, Fan Zhou, Xin Yang, Guisong Liu

Neurocomputing

DOI

2022

Contextual spatio-temporal graph representation learning for reinforced human mobility mining

Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang, Tianrui Li

Information Sciences

DOI

2022

Self-supervised representation learning for trip recommendation

Qiang Gao, Wei Wang, Kunpeng Zhang, Xin Yang, Congcong Miao, Tianrui Li

Knowledge-Based Systems

DOI

2022

Recommendation via Collaborative Diffusion Generative Model

Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou

Lecture notes in computer science

DOI

2021

Self-supervised human mobility learning for next location prediction and trajectory classification

Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, Ting Zhong

Knowledge-Based Systems

DOI

高强

精选作品

期刊论文

Maximizing mutual information in multi-view representation learning for next POI prediction

Alleviating Forgetting in Fine-Grained Urban Flow Inference via Incremental Neural Operator

Dual-Offset Trajectory Recovery on Roads With Dynamic Transition Probability

Frequency-Aware Dynamic Graph Learning Via Pseudo-Spectral Decomposition for Metro Flow Forecasting

Understanding Interactive Stock Dynamics via Sensitivity-Aware Dependency Learning

Aligning Authentic Location Shares With Mobility Information Bottleneck

创业生态系统视域下区域经济新质化发展路径研究

Enhancing Urban Region Representation via Adaptive Risk-aware Consensus Learning

Probabilistic Bayesian learning with long-tail awareness for trajectory-user linking

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting

Learning to discover anomalous spatiotemporal trajectory via Open-world State Space model

Relational Stock Selection via Probabilistic State Space Learning

Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap

Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer

Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion

Self-Explainable Next POI Recommendation

Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks

Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)

Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)

Predicting Human Mobility via Self-Supervised Disentanglement Learning

Inferring Real Mobility in Presence of Fake Check-ins Data

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference

Open Anomalous Trajectory Recognition via Probabilistic Metric Learning

Cross-Regional Fraud Detection via Continual Learning (Student Abstract)

Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract)

Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction

HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning

Multi-granularity stock prediction with sequential three-way decisions

Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion

When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility

Contextual spatio-temporal graph representation learning for reinforced human mobility mining

Self-supervised representation learning for trip recommendation

Recommendation via Collaborative Diffusion Generative Model

Self-supervised human mobility learning for next location prediction and trajectory classification

研究方向