On Exponential Stabilization of Spin 1/2 Systems. - Weichao Liang; Nina H. Amini; Paolo Mason (CDC, 2018)

Understanding Customer Behavior in Shopping Mall from Indoor Tracking Data. - Weichao Liang; Zhiang Wu 001; Jie Cao 001; Jun Gu (CSCWD, 2018)

An Efficient Distributed-Computing Framework for Association-Rule-Based Recommendation. - Changsheng Li; Weichao Liang; Zhiang Wu 001; Jie Cao 001 (ICWS, 2018)

On exponential stabilization of two-qubit systems. - Weichao Liang; Nina H. Amini; Paolo Mason (CDC, 2019)

On Exponential Stabilization of N-Level Quantum Angular Momentum Systems. - Weichao Liang; Nina H. Amini; Paolo Mason (SIAM J. Control. Optim., 2019)

On the robustness of stabilizing feedbacks for quantum spin-1/2 systems. - Weichao Liang; Nina H. Amini; Paolo Mason (CDC, 2020)

CrimeSTC: A Deep Spatial-Temporal-Categorical Network for Citywide Crime Prediction. - Yue Wei; Weichao Liang; Youquan Wang; Jie Cao 001 (CIIS, 2020)

Attentive multi-task learning for group itinerary recommendation. - Lei Chen; Jie Cao 001; Huanhuan Chen; Weichao Liang; Haicheng Tao; Guixiang Zhu (Knowl. Inf. Syst., 2021)

A multi-task learning approach for improving travel recommendation with keywords generation. - Lei Chen; Jie Cao 001; Guixiang Zhu; Youquan Wang; Weichao Liang (Knowl. Based Syst., 2021)

Neural Attentive Travel package Recommendation via exploiting long-term and short-term behaviors. - Guixiang Zhu; Youquan Wang; Jie Cao 001; Zhan Bu; Shuxin Yang; Weichao Liang; Jingting Liu (Knowl. Based Syst., 2021)

Robust Feedback Stabilization of N-Level Quantum Spin Systems. - Weichao Liang; Nina H. Amini; Paolo Mason (SIAM J. Control. Optim., 2021)

Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method. - Jie Cao 001; Youquan Wang; Jing He 004; Weichao Liang; Haicheng Tao; Guixiang Zhu (IEEE Trans. Ind. Informatics, 2021)

Multi-view Graph Attention Network for Travel Recommendation. - Lei Chen; Jie Cao 001; Youquan Wang; Weichao Liang; Guixiang Zhu (Expert Syst. Appl., 2022)

Towards hour-level crime prediction: A neural attentive framework with spatial-temporal-categorical fusion. - Weichao Liang; Youquan Wang; Haicheng Tao; Jie Cao 001 (Neurocomputing, 2022)

Feedback Exponential Stabilization of GHZ States of Multiqubit Systems. - Weichao Liang; Nina H. Amini; Paolo Mason (IEEE Trans. Autom. Control., 2022)

CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency. - Weichao Liang; Zhiang Wu 001; Zhe Li 039; Yong Ge (ACM Trans. Intell. Syst. Technol., 2022)

On the Robustness of Stability for Quantum Stochastic Systems. - Weichao Liang; Kentaro Ohki; Francesco Ticozzi (CDC, 2023)

Multi-Modal Deep Learning Architecture for Accurate Driver Behavior Recognition in Automated Driving Systems. - Fares Alhaek; Weichao Liang; Taha M. Rajeh; Muhammad Hafeez Javed; Tianrui Li 001 (ISKE, 2023)

Urban Traffic Flow Prediction Based on Regional Spatial-Temporal Correlation with Dual Attention. - Taha M. Rajeh; Weichao Liang; Muhammad Hafeez Javed; Fares Alhaek; Tianrui Li 001 (ISKE, 2023)

Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation. - Lei Chen; Jie Cao 001; Weichao Liang; Jia Wu 001; Qiaolin Ye (ACM Trans. Web, 2023)

Multi-objective reinforcement learning approach for trip recommendation. - Lei Chen; Guixiang Zhu; Weichao Liang; Youquan Wang (Expert Syst. Appl., 2023)

Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition. - Weichao Liang; Jie Cao 001; Lei Chen; Youquan Wang; Jia Wu 001; Amin Beheshti; Jiangnan Tang (IEEE Trans. Big Data, 2023)

Optimizing measurements sequences for quantum state verification. - Weichao Liang; Francesco Ticozzi; Giuseppe Vallone (Quantum Inf. Process., 2023)

Parameter Estimation for Quantum Stochastic Systems. - Weichao Liang; Shuixin Xiao (CDC, 2024)

Simultaneous quantum state and detector tomography through multiple Hamiltonians. - Shuixin Xiao; Weichao Liang; Yuanlong Wang 001; Daoyi Dong; Ian R. Petersen; Valery A. Ugrinovskii (CDC, 2024)

Model robustness for feedback stabilization of open quantum systems. - Weichao Liang; Nina H. Amini (Autom., 2024)

Dissipative feedback switching for quantum stabilization. - Weichao Liang; Tommaso Grigoletto; Francesco Ticozzi (Autom., 2024)

Keywords-enhanced Contrastive Learning Model for travel recommendation. - Lei Chen; Guixiang Zhu; Weichao Liang; Jie Cao 001; Yihan Chen (Inf. Process. Manag., 2024)

Learning spatial patterns and temporal dependencies for traffic accident severity prediction: A deep learning approach. - Fares Alhaek; Weichao Liang; Taha M. Rajeh; Muhammad Hafeez Javed; Tianrui Li 001 (Knowl. Based Syst., 2024)

Triangle-oriented Community Detection Considering Node Features and Network Topology. - Guangliang Gao; Weichao Liang; Ming Yuan; Hanwei Qian; Qun Wang; Jie Cao 001 (ACM Trans. Web, 2024)

Geography-aware Heterogeneous Graph Contrastive Learning for Travel Recommendation. - Lei Chen; Jie Cao 001; Weichao Liang; Qiaolin Ye (ACM Trans. Spatial Algorithms Syst., 2024)

MSTI-Plus: Introducing Non-Sarcasm Reference Materials to Enhance Multimodal Sarcasm Target Identification. - Fengmao Lv; Mengting Xiong; Junlin Fang; Lingli Zhang; Tianze Luo; Weichao Liang; Tianrui Li 001 (WWW, 2025)

Encoding global semantic and localized geographic spatial-temporal relations for traffic accident risk prediction. - Fares Alhaek; Tianrui Li 001; Taha M. Rajeh; Muhammad Hafeez Javed; Weichao Liang (Inf. Sci., 2025)

Exploring the Robustness of Stabilizing Controls for Stochastic Quantum Evolutions. - Weichao Liang; Kentaro Ohki; Francesco Ticozzi (SIAM J. Control. Optim., 2025)

Citywide Multi-Step Crime Prediction via Context-Aware Bayesian Tensor Decomposition. - Weichao Liang; Fengmao Lv; Lei Chen; Haicheng Tao; Min Shi 001; Xingquan Zhu 001; Jie Cao 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Partial Multi-Label Learning via Exploiting Instance and Label Correlations. - Weichao Liang; Guangliang Gao; Lei Chen; Youquan Wang (ACM Trans. Knowl. Discov. Data, 2025)