Naiqiang Tan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Linear Complexity

Incremental Learning

Traffic Congestion

Top Venues

Proc. VLDB Endow.

Publications

Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. CoRR (2024)
Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks. Proc. VLDB Endow. 17 (5) (2024)
Lang Mei, Jiaxin Mao, Juan Hu, Naiqiang Tan, Hua Chai, Ji-Rong Wen
Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models. ACM Trans. Inf. Syst. 42 (3) (2024)
Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. KDD (2024)
Wanyi Zhou, Xiaolin Xiao, Yue-Jiao Gong, Jia Chen, Jun Fang, Naiqiang Tan, Nan Ma, Qun Li, Hua Chai, Sang-Woon Jeon, Jun Zhang
Travel Time Distribution Estimation by Learning Representations Over Temporal Attributed Graphs. IEEE Trans. Intell. Transp. Syst. 24 (5) (2023)
Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong
iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation. KDD (2023)
Haitian Chen, Qingyao Ai, Zhijing Wu, Zhihong Wang, Yiqun Liu, Min Zhang, Shaoping Ma, Juan Hu, Naiqiang Tan, Hua Chai
Behavior Modeling for Point of Interest Search. SIGIR (2023)
Huiwen Jia, Jun Fang, Naiqiang Tan, Xinyue Liu, Zengwei Huo, Nan Ma, Guobin Wu, Hua Chai, Xiaohu Qie, Bo Zhang, Yafeng Yin, Siqian Shen
Context-aware Route Recommendation with Weight Learning through Deep Neural Networks. ACC (2020)