Where to Build New Public Toilets? Multi-Source Urban Data Tell the Truth. - Chaoxiong Chen; Yuyang Liu; Chengwu Liao; Chao Chen 004; Liang Feng 001; Zhu Wang 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes. - Chao Chen 004; Chengwu Liao; Xuefeng Xie; Yasha Wang; Junfeng Zhao 001 (Pers. Ubiquitous Comput., 2019)

Wheels Know Why You Travel: Predicting Trip Purpose via a Dual-Attention Graph Embedding Network. - Chengwu Liao; Chao Chen 004; Suiming Guo; Zhu Wang 001; Yaxiao Liu; Ke Xu 002; Daqing Zhang 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

O2D: An uncooperative taxi-passenger's destination predication system via deep neural networks. - Xingchen Wang; Chengwu Liao; Chao Chen 004; Jie Ma; Huayan Pu (Peer-to-Peer Netw. Appl., 2022)

Understanding and visualizing passengers' travel behaviours: a device-free sensing way leveraging taxi trajectory data. - Chengwu Liao; Chao Chen 004; Zhiqing Zhang; Hong Xie (Pers. Ubiquitous Comput., 2022)

semi-Traj2Graph Identifying Fine-Grained Driving Style With GPS Trajectory Data via Multi-Task Learning. - Chao Chen 004; Qiang Liu; Xingchen Wang; Chengwu Liao; Daqing Zhang 001 (IEEE Trans. Big Data, 2022)

Taxi-Passenger's Destination Prediction via GPS Embedding and Attention-Based BiLSTM Model. - Chengwu Liao; Chao Chen 004; Chaocan Xiang; Hongyu Huang; Hong Xie; Songtao Guo (IEEE Trans. Intell. Transp. Syst., 2022)

L2RR: Towards a More Diversified Navigation Service with Learning to Rank Routes Framework. - Jie Zhao 022; Chao Chen 004; Linli Jiang; Chengwu Liao; Kaiqiang An; Yuanjie Li; Guoping Liu; Xiang Wen; Runbo Hu; Hua Chai (ITSC, 2023)

MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks. - Liping Gao; Chao Chen 004; Feng Chu 001; Chengwu Liao; Hongyu Huang; Yasha Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework. - Chengwu Liao; Chao Chen 004; Suiming Guo; Leye Wang; Fuqiang Gu; Jing Luo; Ke Xu 002 (IEEE Trans. Intell. Transp. Syst., 2023)

2F-TP: Learning Flexible Spatiotemporal Dependency for Flexible Traffic Prediction. - Jie Zhao 022; Chao Chen 004; Chengwu Liao; Hongyu Huang; Jie Ma; Huayan Pu; Jun Luo 006; Tao Zhu 003; Shilong Wang 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Enabling Smart Mobility for People and Beyond With Heterogeneous Trajectory Data. - Wanyi Zhang; Fei Meng; Chengwu Liao; Chao Chen 004 (IT Prof., 2024)

AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation. - Chengwu Liao; Chao Chen 004; Wanyi Zhang; Suiming Guo; Chao Liu (ACM Trans. Knowl. Discov. Data, 2024)

Privacy Leakage From Dynamic Prices: Trip Purpose Mining as an Example. - Suiming Guo; Chao Chen 004; Zhetao Li; Chengwu Liao; Yaxiao Liu; Ke Xu 002; Daqing Zhang 001 (IEEE Trans. Mob. Comput., 2024)