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Journal Articles
- 2024
[j4]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)- [j3]Ruipeng Gao
, Shuli Zhu, Lingkun Li, Xuyu Wang, Yuqin Jiang, Naiqiang Tan, Hua Chai, Peng Qi, Jiqiang Liu, Dan Tao:
Real-World Large-Scale Cellular Localization for Pickup Position Recommendation at Black-Hole. IEEE Trans. Mob. Comput. 23(12): 15114-15131 (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) - 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)
Conference and Workshop Papers
- 2025
- [c5]Jindong Han, Hao Liu, Jun Fang, Naiqiang Tan, Hui Xiong:
Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization. WWW 2025: 4969-4979 - 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 - 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
Informal and Other Publications
- 2025
- [i6]Haotian Luo, Li Shen, Haiying He, Yibo Wang, Shiwei Liu, Wei Li, Naiqiang Tan, Xiaochun Cao, Dacheng Tao:
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning. CoRR abs/2501.12570 (2025) - [i5]Yibo Wang, Tiansheng Huang, Li Shen, Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao:
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation. CoRR abs/2501.18100 (2025) - [i4]Fan Liu, Wenshuo Chao, Naiqiang Tan, Hao Liu:
Bag of Tricks for Inference-time Computation of LLM Reasoning. CoRR abs/2502.07191 (2025) - [i3]Yansong Ning, Shuowei Cai, Wei Li, Jun Fang, Naiqiang Tan, Hua Chai, Hao Liu:
DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi. CoRR abs/2503.04768 (2025) - [i2]Haotian Luo, Haiying He, Yibo Wang, Jinluan Yang, Rui Liu, Naiqiang Tan, Xiaochun Cao, Dacheng Tao, Li Shen:
AdaR1: From Long-CoT to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization. CoRR abs/2504.21659 (2025) - 2024
- [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)
Coauthor Index
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