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Author

Naiqiang Tan

Observed name: Tan, Naiqiang
Observed institution: Didi Chuxing (China)
ORCID: 0009-0008-4687-5212
Observed ORCID: 0009-0008-4687-5212
OpenAlex ID: A5020921636
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks
2024 · Jindong Han, Weijia Zhang, et al. · Proceedings of the VLDB Endowment · 115
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
2024 · Wenzhao Jiang, Jindong Han, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 26
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DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
2026 · Yansong Ning, Rui Liu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 22
Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Synergizing-Oriented Multi-Turn Reinforcement Learning
2026 · Yansong Ning, Wei Li, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 21
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iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation
2023 · Jindong Han, Hao Liu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 21
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Bag of Tricks for Inference-time Computation of LLM Reasoning
2025 · Fan LIU, Wen-Shuo Chao, et al. · neural information processing systems · 19
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Travel Time Distribution Estimation by Learning Representations Over Temporal Attributed Graphs
2023 · Wanyi Zhou, Xiaolin Xiao, et al. · IEEE Transactions on Intelligent Transportation Systems · 10
Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models
2023 · Lang Mei, Jiaxin Mao, et al. · ACM Transactions on Information Systems · 9
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Context-aware Route Recommendation with Weight Learning through Deep Neural Networks
2020 · Huiwen Jia, Jun Fang, et al. · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 8
Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning
2026 · Qin-Wen Luo, Sheng Ren, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 4
DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi
2025 · Yansong Ning, Shuowei Cai, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 4
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Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization
2025 · Jindong Han, Hao Liu, et al. · International World Wide Web Conference (WWW) · 4
Real-World Large-Scale Cellular Localization for Pickup Position Recommendation at Black-Hole
2024 · Ruipeng Gao, Shuli Zhu, et al. · IEEE Transactions on Mobile Computing · 4
Behavior Modeling for Point of Interest Search
2023 · Haitian Chen, Qingyao Ai, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 1
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Heterogeneous Co-Evolution Learning for Tool-Efficient Search Agents with Zero Labels
2026 · Luo, Qin-Wen, Ren, Sheng, et al. · arXiv (Cornell University)
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UltraHorizon: Benchmarking LLM-Agent Capabilities in Ultra Long-Horizon Scenarios
2026 · Luo, Haotian, Zhang, Huaisong, et al. · Rare & Special e-Zone (The Hong Kong University of Science and Technology)
Works count: 16
Citation count: 268
H-index: 8
I10-index: 7
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