Nanyang Technological University (Singapore)

ST-Dataminer Research Lab

2024

  1. Haitao Yuan, Gao Cong, Guoliang Li. Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network. Proceedings of the VLDB Endowment 2024 (PVLDB 2024) (Paper) (Code)
  2. Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi. Trajectory Similarity Measurement: An Efficiency Perspective. Proceedings of the VLDB Endowment 2024 (PVLDB 2024) (Paper) (Code)
  3. Yile Chen, Gao Cong, Cuauhtemoc Anda. TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals. Proceedings of the VLDB Endowment 2024 (PVLDB 2024) (Paper) (Code)
  4. Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao. On the opportunities and challenges of foundation models for geoai (vision paper). ACM Transactions on Spatial Algorithms and Systems, 2024 (Paper)
  5. Weiming Huang, J Wang, Gao Cong. Zero-shot urban function inference with street view images through prompting a pretrained vision-language model. International Journal of Geographical Information Science, 1-29, 2024 (Paper)
  6. Jiayi Xie, Shang Liu, Gao Cong, Zhenzhong Chen. UnifiedSSR: A Unified Framework of Sequential Search and Recommendation. the Web Conf 2024 (Paper) (Code)
  7. Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui. MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations. the Web Conf 2024 (Paper)
  8. Zheng Wang, Cheng Long, Gao Cong, and Christian S. Jensen. Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. In IEEE International Conference on Data Engineering, 2024. ICDE'24 (Paper)
  9. Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang. AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. IEEE International Conference on Data Engineering (ICDE 2024) (Paper)
    10. Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong. SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. IEEE International Conference on Data Engineering (ICDE 2024) (Paper) (Code)
  10. Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, and Jingyuan Wang. AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. In The Twelfth International Conference on Learning Representations, 2024. ICLR'24 (Paper)
  11. Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li: City Foundation Models for Learning General Purpose Representations from OpenStreetMap. CIKM 2024 (Paper)
  12. Xueqi Li, Gao Cong, Guoqing Xiao, Yang Xu, Wenjun Jiang and Kenli Li. On Evaluation Metrics for Diversity-enhanced Recommendations. CIKM 2024

2023

  1. Lubin Bai , Weiming Huang , Xiuyuan Zhang, Shihong Du, Gao Cong , Haoyu Wang , Bo Liu Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs. ISPRS Journal of Photogrammetry and Remote Sensing 201, 193-208, 2023 (Paper)
  2. Haicang Zhou, Tiantian He, Yew-Soon Ong, Gao Cong, Quan Chen. Differentiable Clustering for Graph Attention. In IEEE Transactions on Knowledge and Data Engineering, 2024.> (Paper)
  3. Zheng Wang, Cheng Long, Gao Cong: Similar Sports Play Retrieval With Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4253-4266 (2023) (Paper) (Code)
  4. Liang Zhang, Cheng Long, Gao Cong. Region Embedding with Intra and Inter-View Contrastive Learning. In IEEE Transactions on Knowledge and Data Engineering, 35(9): 9031-9036 (2023) (Paper) (Code)
  5. Pasquale Balsebre, Weiming Huang, Dezhong Yao, Gao Cong, Zhen Hai. Mining Geospatial Relationships from Text. SIGMOD 2023 (Paper) (Code)
  6. Yi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang. Urban Region Representation Learning with OpenStreetMap Building Footprints. KDD 2023 (Paper) (Code)
  7. Qianru Zhang, Zheng Wang*, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi. Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. IEEE ICDE 2023 (Paper) (Code)
  8. Shuai Liu, Xiucheng Li, Gao Cong, Yue Jiang, Yile Chen, Multivariate Time-series Imputation with Disentangled Temporal Representations. ICLR 2023 (Paper) (Code)

2022

  1. Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang. Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks, Proceedings of the VLDB Endowment (PVLDB) 2022 (Paper)
  2. Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong: A Survey on Trajectory Data Management, Analytics, and Learning. ACM Comput. Surv. 54(2): 39:1-39:36 (2022) (Paper)
  3. David A. Tedjopurnomo*, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Choudhury, Kai Qin. Similar Trajectory Search with Spatio-temporal Deep Representation Learning, ACM Trans. Intell. Syst. Technol. (ACM TIST) 2022 (Paper)
  4. Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa: Let Trajectories Speak Out the Traffic Bottlenecks. ACM Trans. Intell. Syst. Technol. 13(1): 8:1-8:21 (2022) (Paper)
  5. Shengnan Guo, Youfang Lin, Huaiyu Wan, Xiucheng Li, Gao Cong. Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting. IEEE Transactions on Knowledge and Data Engineering (TKDE). 34(11): 5415-5428 (2022) 2022 (Paper)
  6. Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan, Jingping Bi. A Linear Time Approach to Computing Time Series Similarity based on Deep Metric Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE) 34(10): 4554-4571 (2022) (Paper)
  7. Kaiqi Zhao, Gao Cong, Xiucheng Li: PGeoTopic: A Distributed Solution for Mining Geographical Topic Models. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(2): 881-893 (2022) (Paper)
  8. Pasquale Balsebre, Dezhong Yao, Gao Cong, Zhen Hai. Geospatial Entity Resolution, The Web Conference (WWW) 2022 (Paper) (Code)
  9. Jinyao Chin, Yile Chen, Gao Cong: The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? WSDM 2022 (Paper) (Code)
  10. 28.Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi. TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation," KDD 2022

2021

  1. Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang: Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. Proc. VLDB Endow. 15(3): 504-512 (2021) (Paper)
  2. Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong. Sinkhorn Collaborative Filtering, The Web Conference (WWW) 2021 (Paper) (Code)
  3. Zheng Wang, Cheng Long, Gao Cong. Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning, KDD 2021 (Paper) (Code)
  4. Zheng Wang, Cheng Long, Gao Cong. Trajectory Simplification with Reinforcement Learning, ICDE 2021 (Paper) (Code)
  5. Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao. Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics, CIKM 2021. (Paper)

2020

  1. Zheng Wang, Cheng Long, Gao Cong and Yiding Liu: Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning, Proceedings of the VLDB Endowment (PVLDB) 2020
  2. Shang Liu, Wanli Gu, Gao Cong, Fuzheng Zhang: Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search. CIKM 2020: 915-924 Paper
  3. Yile Chen, Cheng Long, Gao Cong, Chenliang Li. Context-aware Deep Model for Joint Mobility and Time Prediction, WSDM 2020 (Paper)
  4. Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao, Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling, ICDE2020 (Paper) (Code)
  5. Xiucheng Li, Gao Cong, Yun Cheng, Spatial Transition Learning on Road Networks with Deep Probabilistic Models, ICDE 2020 (Paper)
  6. Shanshan Feng; Lucas Vinh Tran; Gao Cong; Lisi Chen; Jing Li; Fan Li: HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation, SIGIR 2020(Paper)