Context-aware Route Recommendation with Weight Learning through Deep Neural Networks. - Huiwen Jia; Jun Fang; Naiqiang Tan; Xinyue Liu; Zengwei Huo; Nan Ma; Guobin Wu 001; Hua Chai; Xiaohu Qie; Bo Zhang; Yafeng Yin 001; Siqian Shen (ACC, 2020)

iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation. - Jindong Han; Hao Liu 026; Shui Liu; Xi Chen 080; Naiqiang Tan; Hua Chai; Hui Xiong 001 (KDD, 2023)

Behavior Modeling for Point of Interest Search. - Haitian Chen; Qingyao Ai; Zhijing Wu 001; Zhihong Wang; Yiqun Liu 001; Min Zhang 006; Shaoping Ma; Juan Hu; Naiqiang Tan; Hua Chai (SIGIR, 2023)

Travel Time Distribution Estimation by Learning Representations Over Temporal Attributed Graphs. - Wanyi Zhou; Xiaolin Xiao; Yue-Jiao Gong; Jia Chen; Jun Fang; Naiqiang Tan; Nan Ma; Qun Li; Hua Chai; Sang-Woon Jeon; Jun Zhang 003 (IEEE Trans. Intell. Transp. Syst., 2023)

Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. - Wenzhao Jiang; Jindong Han; Hao Liu 026; Tao Tao; Naiqiang Tan; Hui Xiong 001 (KDD, 2024)

BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks. - Jindong Han; Weijia Zhang 003; Hao Liu 026; Tao Tao; Naiqiang Tan; Hui Xiong 001 (Proc. VLDB Endow., 2024)

Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models. - Lang Mei; Jiaxin Mao; Juan Hu; Naiqiang Tan; Hua Chai; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)

Real-World Large-Scale Cellular Localization for Pickup Position Recommendation at Black-Hole. - Ruipeng Gao; Shuli Zhu; Lingkun Li; Xuyu Wang; Yuqin Jiang; Naiqiang Tan; Hua Chai; Peng Qi 006; Jiqiang Liu; Dan Tao (IEEE Trans. Mob. Comput., 2024)

Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization. - Jindong Han; Hao Liu 026; Jun Fang; Naiqiang Tan; Hui Xiong 001 (WWW, 2025)

O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning. - Haotian Luo; Li Shen 008; Haiying He; Yibo Wang; Shiwei Liu 003; Wei Li 190; Naiqiang Tan; Xiaochun Cao; Dacheng Tao (CoRR, 2025)

Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation. - Yibo Wang; Tiansheng Huang; Li Shen 008; Huanjin Yao; Haotian Luo; Rui Liu; Naiqiang Tan; Jiaxing Huang 001; Dacheng Tao (CoRR, 2025)

Bag of Tricks for Inference-time Computation of LLM Reasoning. - Fan Liu; Wenshuo Chao; Naiqiang Tan; Hao Liu (CoRR, 2025)

DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi. - Yansong Ning; Shuowei Cai; Wei Li 176; Jun Fang; Naiqiang Tan; Hua Chai; Hao Liu 026 (CoRR, 2025)

AdaR1: From Long-CoT to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization. - Haotian Luo; Haiying He; Yibo Wang; Jinluan Yang; Rui Liu; Naiqiang Tan; Xiaochun Cao; Dacheng Tao; Li Shen 008 (CoRR, 2025)

Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning. - Yansong Ning; Wei Li; Jun Fang; Naiqiang Tan; Hao Liu (CoRR, 2025)

R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search. - Yibo Wang; Li Shen 008; Huanjin Yao; Tiansheng Huang; Rui Liu; Naiqiang Tan; Jiaxing Huang 001; Kai Zhang 008; Dacheng Tao (CoRR, 2025)