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Naiqiang Tan
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2020 – today
- 2024
- [j3]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): 1081-1090 (2024) - [j2]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): 74:1-74:27 (2024) - [c4]Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong:
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. KDD 2024: 5206-5217 - [i1]Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong:
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. CoRR abs/2406.12923 (2024) - 2023
- [j1]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): 5069-5081 (2023) - [c3]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: 4100-4111 - [c2]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: 1843-1847 - 2020
- [c1]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: 4040-4045
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last updated on 2024-10-07 21:18 CEST by the dblp team
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