Association Rules Mining with Quantum Computing and Quantum Storage. - Qiang Gao 003; Fengli Zhang; Rui-Jin Wang; Fan Zhou 002 (BigCom, 2017)

Identifying Human Mobility via Trajectory Embeddings. - Qiang Gao 003; Fan Zhou 002; Kunpeng Zhang 001; Goce Trajcevski; Xucheng Luo; Fengli Zhang (IJCAI, 2017)

Trajectory-based social circle inference. - Qiang Gao 003; Goce Trajcevski; Fan Zhou 002; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (SIGSPATIAL/GIS, 2018)

Trajectory-User Linking via Variational AutoEncoder. - Fan Zhou 002; Qiang Gao 003; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (IJCAI, 2018)

DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation. - Qiang Gao 003; Goce Trajcevski; Fan Zhou 002; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (SIGSPATIAL/GIS, 2019)

Predicting Human Mobility via Variational Attention. - Qiang Gao 003; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (WWW, 2019)

Adversity-based Social Circles Inference via Context-Aware Mobility. - Qiang Gao 003; Fan Zhou 002; Goce Trajcevski; Fengli Zhang; Xucheng Luo (GLOBECOM, 2020)

Adversarial Mobility Learning for Human Trajectory Classification. - Qiang Gao 003; Fengli Zhang; Fuming Yao; Ailing Li; Lin Mei; Fan Zhou 002 (IEEE Access, 2020)

Efficient Architecture Search for Continual Learning. - Qiang Gao 003; Zhipeng Luo; Diego Klabjan (CoRR, 2020)

Self-supervised Representation Learning for Trip Recommendation. - Qiang Gao 003; Wei Wang 336; Kunpeng Zhang 001; Xin Yang 012; Congcong Miao (CoRR, 2021)

Self-supervised human mobility learning for next location prediction and trajectory classification. - Fan Zhou 002; Yurou Dai; Qiang Gao 003; Pengyu Wang; Ting Zhong (Knowl. Based Syst., 2021)

Dynamic Manifold Learning for Land Deformation Forecasting. - Fan Zhou 002; Rongfan Li; Qiang Gao 003; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (AAAI, 2022)

Recommendation via Collaborative Diffusion Generative Model. - Joojo Walker; Ting Zhong; Fengli Zhang; Qiang Gao 003; Fan Zhou 002 (KSEM (3), 2022)

Forgetting Prevention for Cross-regional Fraud Detection with Heterogeneous Trade Graph. - Yujie Li 007; Yuxuan Yang; Xin Yang 012; Qiang Gao 003; Fan Zhou 002 (CoRR, 2022)

Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs. - Qiang Gao 003; Xinzhu Zhou; Kunpeng Zhang 001; Li Huang 002; Siyuan Liu 001; Fan Zhou 002 (CoRR, 2022)

Contextual spatio-temporal graph representation learning for reinforced human mobility mining. - Qiang Gao 003; Fan Zhou 002; Ting Zhong; Goce Trajcevski; Xin Yang 012; Tianrui Li 001 (Inf. Sci., 2022)

Self-supervised representation learning for trip recommendation. - Qiang Gao 003; Wei Wang 336; Kunpeng Zhang 001; Xin Yang 012; Congcong Miao; Tianrui Li 001 (Knowl. Based Syst., 2022)

Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract). - Jinyu Hong; Fan Zhou 002; Qiang Gao 003; Ping Kuang; Kunpeng Zhang 001 (AAAI, 2023)

Cross-Regional Fraud Detection via Continual Learning (Student Abstract). - Yujie Li 007; Yuxuan Yang; Qiang Gao 003; Xin Yang 012 (AAAI, 2023)

Attention Localness in Shared Encoder-Decoder Model For Text Summarization. - Li Huang 002; Hongmei Wu; Qiang Gao 003; Guisong Liu (ICASSP, 2023)

Open Anomalous Trajectory Recognition via Probabilistic Metric Learning. - Qiang Gao 003; Xiaohan Wang; Chaoran Liu; Goce Trajcevski; Li Huang 002; Fan Zhou 002 (IJCAI, 2023)

Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction. - Qiang Gao 003; Hongzhu Fu; Yutao Wei; Li Huang 002; Xingmin Liu; Guisong Liu (KSEM (2), 2023)

HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning. - Li Huang 002; Kai Liu; Chaoran Liu; Qiang Gao 003; Xiao Zhou; Guisong Liu (KSEM (2), 2023)

Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork. - Qiang Gao 003; Xiaojun Shan; Yuchen Zhang; Fan Zhou 002 (NeurIPS, 2023)

CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the Internet. - Miaomiao Li 007; Jiaqi Zhu 001; Xin Yang 012; Yi Yang 060; Qiang Gao 003; Hongan Wang (WWW, 2023)

When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility. - Qiang Gao 003; Fan Zhou 002; Xin Yang 012; Guisong Liu (Neurocomputing, 2023)

Dual-grained human mobility learning for location-aware trip recommendation with spatial-temporal graph knowledge fusion. - Qiang Gao 003; Wei Wang 336; Li Huang 002; Xin Yang 012; Tianrui Li 001; Hamido Fujita (Inf. Fusion, 2023)

Multi-granularity stock prediction with sequential three-way decisions. - Xin Yang 012; Metoh Adler Loua; Meijun Wu; Li Huang 002; Qiang Gao 003 (Inf. Sci., 2023)

Adversarial Human Trajectory Learning for Trip Recommendation. - Qiang Gao 003; Fan Zhou 002; Kunpeng Zhang 001; Fengli Zhang; Goce Trajcevski (IEEE Trans. Neural Networks Learn. Syst., 2023)

Efficient Architecture Search for Continual Learning. - Qiang Gao 003; Zhipeng Luo; Diego Klabjan; Fengli Zhang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. - Xovee Xu; Zhiyuan Wang 006; Qiang Gao 003; Ting Zhong; Bei Hui; Fan Zhou 002; Goce Trajcevski (IEEE Trans. Big Data, 2023)

Spatial-Temporal Augmentation for Crime Prediction (Student Abstract). - Hongzhu Fu; Fan Zhou 002; Qing Guo; Qiang Gao 003 (AAAI, 2024)

Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract). - Jinyu Hong; Ping Kuang; Qiang Gao 003; Fan Zhou 002 (AAAI, 2024)

Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network. - Haoran Li 011; Qiang Gao 003; Hongmei Wu; Li Huang 002 (EMNLP, 2024)

Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap. - Qiang Gao 003; Zizheng Wang; Li Huang 002; Goce Trajcevski; Kunpeng Zhang 001; Xueqin Chen 002 (SIGSPATIAL/GIS, 2024)

Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator. - Qiang Gao 003; Xiaolong Song; Li Huang 002; Goce Trajcevski; Fan Zhou 002; Xueqin Chen 002 (IJCAI, 2024)

Self-Explainable Next POI Recommendation. - Kai Yang; Yi Yang 042; Qiang Gao 003; Ting Zhong; Yong Wang 046; Fan Zhou 002 (SIGIR, 2024)

Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks. - Qiang Gao 003; Xinzhu Zhou; Li Huang 002; Kunpeng Zhang 001; Siyuan Liu 001; Fan Zhou 002 (Inf. Fusion, 2024)

Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion. - Li Huang 002; Pei Li; Qiang Gao 003; Guisong Liu; Zhipeng Luo; Tianrui Li 001 (Neural Networks, 2024)

Inferring Real Mobility in Presence of Fake Check-ins Data. - Qiang Gao 003; Hongzhu Fu; Kunpeng Zhang 001; Goce Trajcevski; Xu Teng; Fan Zhou 002 (ACM Trans. Intell. Syst. Technol., 2024)

Predicting Human Mobility via Self-Supervised Disentanglement Learning. - Qiang Gao 003; Jinyu Hong; Xovee Xu; Ping Kuang; Fan Zhou 002; Goce Trajcevski (IEEE Trans. Knowl. Data Eng., 2024)

Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer. - Yujie Li 007; Xin Yang 012; Qiang Gao 003; Hao Wang 068; Junbo Zhang; Tianrui Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Hierarchical Active Learning With Label Proportions on Data Regions. - Zhipeng Luo; Qiang Gao 003; Yazhou He; Hongjun Wang 002; Milos Hauskrecht; Tianrui Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting. - Qiang Gao 003; Zizheng Wang; Li Huang 002; Goce Trajcevski; Guisong Liu; Xueqin Chen 002 (AAAI, 2025)

Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning. - Li Huang 002; Haowen Liu; Qiang Gao 003; Jiajing Yu; Guisong Liu; Xueqin Chen 002 (AAAI, 2025)

Birds of a Feather: Enhancing Multimodal Fake News Detection Via Multi-Element Retrieval. - Xueqin Chen 002; Xiaoyu Huang; Qiang Gao 003; Li Huang 002; Jiajing Yu; Guisong Liu (ICDE, 2025)

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting. - Li Huang 002; Yanzhe Xie; Qiang Gao 003; Kunpeng Zhang 001; Guisong Liu; Xueqin Chen 002 (KDD (1), 2025)

Augmented graph information bottleneck with type-aware periodicity heterogeneity for explainable crime prediction. - Hongzhu Fu; Yutao Wei; Gege Chen; Xing He; Qiang Gao 003; Fan Zhou 002 (Inf. Process. Manag., 2025)

Extracting key insights from earnings call transcript via information-theoretic contrastive learning. - Yanlong Huang; Wenxin Tai; Fan Zhou 002; Qiang Gao 003; Ting Zhong; Kunpeng Zhang 001 (Inf. Process. Manag., 2025)

Learning to discover anomalous spatiotemporal trajectory via Open-world State Space model. - Qiang Gao 003; Chaoran Liu; Li Huang 002; Goce Trajcevski; Qing Guo; Fan Zhou 002 (Knowl. Based Syst., 2025)

Enhancing text-centric fake news detection via external knowledge distillation from LLMs. - Xueqin Chen 002; Xiaoyu Huang; Qiang Gao 003; Li Huang 002; Guisong Liu (Neural Networks, 2025)

Relational Stock Selection via Probabilistic State Space Learning. - Qiang Gao 003; Zhengxiang Liu; Li Huang 002; Kunpeng Zhang 001; Jun Wang 089; Guisong Liu (IEEE Trans. Knowl. Data Eng., 2025)