Weichao Liang

According to our database, Weichao Liang authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Geography-aware Heterogeneous Graph Contrastive Learning for Travel Recommendation.

Lei Chen, Jie Cao, Weichao Liang, Qiaolin Ye

ACM Trans. Spatial Algorithms Syst., September, 2024

Triangle-oriented Community Detection Considering Node Features and Network Topology.

Guangliang Gao, Weichao Liang, Ming Yuan, Hanwei Qian, Qun Wang, Jie Cao

ACM Trans. Web, February, 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

Knowl. Based Syst., 2024

Keywords-enhanced Contrastive Learning Model for travel recommendation.

Lei Chen, Guixiang Zhu, Weichao Liang, Jie Cao, Yihan Chen

Inf. Process. Manag., 2024

Dissipative feedback switching for quantum stabilization.

Weichao Liang, Tommaso Grigoletto, Francesco Ticozzi

Autom., 2024

Model robustness for feedback stabilization of open quantum systems.

Weichao Liang, Nina H. Amini

Autom., 2024

2023

Optimizing measurements sequences for quantum state verification.

Weichao Liang, Francesco Ticozzi, Giuseppe Vallone

Quantum Inf. Process., November, 2023

Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition.

Weichao Liang, Jie Cao, Lei Chen, Youquan Wang, Jia Wu, Amin Beheshti, Jiangnan Tang

IEEE Trans. Big Data, October, 2023

Multi-objective reinforcement learning approach for trip recommendation.

Lei Chen, Guixiang Zhu, Weichao Liang, Youquan Wang

Expert Syst. Appl., September, 2023

Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation.

Lei Chen, Jie Cao, Weichao Liang, Jia Wu, Qiaolin Ye

ACM Trans. Web, February, 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

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 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

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

On the Robustness of Stability for Quantum Stochastic Systems.

Weichao Liang, Kentaro Ohki, Francesco Ticozzi

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency.

Weichao Liang, Zhiang Wu, Zhe Li, Yong Ge

ACM Trans. Intell. Syst. Technol., 2022

Feedback Exponential Stabilization of GHZ States of Multiqubit Systems.

Weichao Liang, Nina H. Amini, Paolo Mason

IEEE Trans. Autom. Control., 2022

Towards hour-level crime prediction: A neural attentive framework with spatial-temporal-categorical fusion.

Weichao Liang, Youquan Wang, Haicheng Tao, Jie Cao

Neurocomputing, 2022

Multi-view Graph Attention Network for Travel Recommendation.

Lei Chen, Jie Cao, Youquan Wang, Weichao Liang, Guixiang Zhu

Expert Syst. Appl., 2022

2021

Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method.

Jie Cao, Youquan Wang, Jing He, Weichao Liang, Haicheng Tao, Guixiang Zhu

IEEE Trans. Ind. Informatics, 2021

Robust Feedback Stabilization of <i>N</i>-Level Quantum Spin Systems.

Weichao Liang, Nina H. Amini, Paolo Mason

SIAM J. Control. Optim., 2021

Neural Attentive Travel package Recommendation via exploiting long-term and short-term behaviors.

Guixiang Zhu, Youquan Wang, Jie Cao, Zhan Bu, Shuxin Yang, Weichao Liang, Jingting Liu

Knowl. Based Syst., 2021

A multi-task learning approach for improving travel recommendation with keywords generation.

Lei Chen, Jie Cao, Guixiang Zhu, Youquan Wang, Weichao Liang

Knowl. Based Syst., 2021

Attentive multi-task learning for group itinerary recommendation.

Lei Chen, Jie Cao, Huanhuan Chen, Weichao Liang, Haicheng Tao, Guixiang Zhu

Knowl. Inf. Syst., 2021

2020

CrimeSTC: A Deep Spatial-Temporal-Categorical Network for Citywide Crime Prediction.

Yue Wei, Weichao Liang, Youquan Wang, Jie Cao

Proceedings of the CIIS 2020: The 3rd International Conference on Computational Intelligence and Intelligent Systems, 2020

On the robustness of stabilizing feedbacks for quantum spin-1/2 systems.

Weichao Liang, Nina H. Amini, Paolo Mason

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

On Exponential Stabilization of N-Level Quantum Angular Momentum Systems.

Weichao Liang, Nina H. Amini, Paolo Mason

SIAM J. Control. Optim., 2019

On exponential stabilization of two-qubit systems.

Weichao Liang, Nina H. Amini, Paolo Mason

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

An Efficient Distributed-Computing Framework for Association-Rule-Based Recommendation.

Changsheng Li, Weichao Liang, Zhiang Wu, Jie Cao

Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Understanding Customer Behavior in Shopping Mall from Indoor Tracking Data.

Weichao Liang, Zhiang Wu, Jie Cao, Jun Gu

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

On Exponential Stabilization of Spin 1/2 Systems.

Weichao Liang, Nina H. Amini, Paolo Mason

Proceedings of the 57th IEEE Conference on Decision and Control, 2018