Cong, Gao

22 publications

ICML 2025 FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong

NeurIPS 2025 HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling Ningyi Liao, Zihao Yu, Siqiang Luo, Gao Cong

NeurIPS 2025 PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-Trained Language Models Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan

NeurIPS 2025 Reconciling Geospatial Prediction and Retrieval via Sparse Representations Yi Li, Yuanlong Chen, Weiming Huang, Xiaoli Li, Gao Cong

NeurIPS 2025 SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Zezhi Shao, Jun Zhang, Tao Sun, Fei Wang, Yongjun Xu

NeurIPS 2025 TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability Tonglong Wei, Yan Lin, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan

ICLR 2024 AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang

NeurIPS 2024 Road Network Representation Learning with the Third Law of Geography Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong

ICLR 2023 Multivariate Time-Series Imputation with Disentangled Temporal Representations Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang

IJCAI 2018 High-Dimensional Similarity Learning via Dual-Sparse Random Projection Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong

IJCAI 2018 Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns Ali Zonoozi, Jung-Jae Kim, Xiao-Li Li, Gao Cong

AAAI 2017 POI2Vec: Geographical Latent Representation for Predicting Future Visitors Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee

AAAI 2015 A Tri-Role Topic Model for Domain-Specific Question Answering Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong

AAAI 2015 DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization Miao Xie, Qiusong Yang, Qing Wang, Gao Cong, Gerard de Melo

AAAI 2015 Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li

AAAI 2015 On Information Coverage for Location Category Based Point-of-Interest Recommendation Xuefeng Chen, Yifeng Zeng, Gao Cong, Shengchao Qin, Yanping Xiang, Yuanshun Dai

IJCAI 2015 Personalized Ranking Metric Embedding for Next New POI Recommendation Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, Quan Yuan

AAAI 2014 Influence Maximization with Novelty Decay in Social Networks Shanshan Feng, Xuefeng Chen, Gao Cong, Yifeng Zeng, Yeow Meng Chee, Yanping Xiang

ECML-PKDD 2012 Author Name Disambiguation Using a New Categorical Distribution Similarity Shaohua Li, Gao Cong, Chunyan Miao

AAAI 2011 Integrating Community Question and Answer Archives Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li

AAAI 2011 Simulated Annealing Based Influence Maximization in Social Networks Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Wenjun Si, Kunqing Xie

AAAI 2007 Mining Sequential Patterns and Tree Patterns to Detect Erroneous Sentences Guihua Sun, Gao Cong, Xiaohua Liu, Chin-Yew Lin, Ming Zhou