Naiqiang Tan

27 papers A* 4C 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Agent-Omit: Training Efficient LLM Agents for Adaptive Thought and Observation Omission via Agentic Reinforcement Learning.
CoRR
Yansong Ning, Jun Fang, Naiqiang Tan, Hao Liu
2026 J jnl
Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning.
CoRR
Qin-Wen Luo, Sheng Ren, Xiang Chen, Rui Liu, Jun Fang, Naiqiang Tan, Sheng-Jun Huang
2026 J jnl
Darwinian Memory: A Training-Free Self-Regulating Memory System for GUI Agent Evolution.
CoRR
Hongze Mi, Yibo Feng, Wenjie Lu, Song Cao, Jinyuan Li, Yanming Li, Xuelin Zhang, Haotian Luo, Songyang Peng, He Cui, Tengfei Tian, Jun Fang, Hua Chai, Naiqiang Tan
2026 J jnl
Mitigating Safety Tax via Distribution-Grounded Refinement in Large Reasoning Models.
CoRR
Yingsha Xie, Tiansheng Huang, Enneng Yang, Rui Min, Wenjie Lu, Xiaochun Cao, Naiqiang Tan, Li Shen
2026 J jnl
SafeThinker: Reasoning about Risk to Deepen Safety Beyond Shallow Alignment.
CoRR
Xianya Fang, Xianying Luo, Yadong Wang, Xiang Chen, Yu Tian, Zequn Sun, Rui Liu, Jun Fang, Naiqiang Tan, Yuanning Cui, Sheng-Jun Huang
2026 J jnl
Who Deserves the Reward? SHARP: Shapley Credit-based Optimization for Multi-Agent System.
CoRR
Yanming Li, Xuelin Zhang, Wenjie Lu, Ziye Tang, Maodong Wu, Haotian Luo, Tongtong Wu, Zijie Peng, Hongze Mi, Yibo Feng, Naiqiang Tan, Chao Huang, Hong Chen, Li Shen
2025 J jnl
AdaR1: From Long-CoT to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization.
CoRR
Haotian Luo, Haiying He, Yibo Wang, Jinluan Yang, Rui Liu, Naiqiang Tan, Xiaochun Cao, Dacheng Tao, Li Shen
2025 A* conf
Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization.
WWW
Jindong Han, Hao Liu, Jun Fang, Naiqiang Tan, Hui Xiong
2025 J jnl
Bag of Tricks for Inference-time Computation of LLM Reasoning.
CoRR
Fan Liu, Wenshuo Chao, Naiqiang Tan, Hao Liu
2025 J jnl
D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents.
CoRR
Hongze Mi, Yibo Feng, Wenjie Lu, Yuqi Wang, Jinyuan Li, Song Cao, He Cui, Tengfei Tian, Xuelin Zhang, Haotian Luo, Di Sun, Naiqiang Tan, Gang Pan
2025 J jnl
DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents.
CoRR
Yansong Ning, Rui Liu, Jun Wang, Kai Chen, Wei Li, Jun Fang, Kan Zheng, Naiqiang Tan, Hao Liu
2025 — conf
DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi.
KDD (2)
Yansong Ning, Shuowei Cai, Wei Li, Jun Fang, Naiqiang Tan, Hua Chai, Hao Liu
2025 J jnl
DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi.
CoRR
Yansong Ning, Shuowei Cai, Wei Li, Jun Fang, Naiqiang Tan, Hua Chai, Hao Liu
2025 J jnl
Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning.
CoRR
Yansong Ning, Wei Li, Jun Fang, Naiqiang Tan, Hao Liu
2025 J jnl
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.
CoRR
Haotian Luo, Li Shen, Haiying He, Yibo Wang, Shiwei Liu, Wei Li, Naiqiang Tan, Xiaochun Cao, Dacheng Tao
2025 J jnl
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation.
CoRR
Yibo Wang, Tiansheng Huang, Li Shen, Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao
2025 J jnl
R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search.
CoRR
Yibo Wang, Li Shen, Huanjin Yao, Tiansheng Huang, Rui Liu, Naiqiang Tan, Jiaxing Huang, Kai Zhang, Dacheng Tao
2025 J jnl
UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios.
CoRR
Haotian Luo, Huaisong Zhang, Xuelin Zhang, Haoyu Wang, Zeyu Qin, Wenjie Lu, Guozheng Ma, Haiying He, Yingsha Xie, Qiyang Zhou, Zixuan Hu, Hongze Mi, Yibo Wang, Naiqiang Tan, Hong Chen, Yi R. Fung, Chun Yuan, Li Shen
2024 J jnl
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks.
Proc. VLDB Endow.
Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
2024 J jnl
Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models.
ACM Trans. Inf. Syst.
Lang Mei, Jiaxin Mao, Juan Hu, Naiqiang Tan, Hua Chai, Ji-Rong Wen
2024 A* conf
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction.
KDD
Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
2024 J jnl
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction.
CoRR
Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
2024 J jnl
Real-World Large-Scale Cellular Localization for Pickup Position Recommendation at Black-Hole.
IEEE Trans. Mob. Comput.
Ruipeng Gao, Shuli Zhu, Lingkun Li, Xuyu Wang, Yuqin Jiang, Naiqiang Tan, Hua Chai, Peng Qi, Jiqiang Liu, Dan Tao
2023 A* conf
Behavior Modeling for Point of Interest Search.
SIGIR
Haitian Chen, Qingyao Ai, Zhijing Wu, Zhihong Wang, Yiqun Liu, Min Zhang, Shaoping Ma, Juan Hu, Naiqiang Tan, Hua Chai
2023 J jnl
Travel Time Distribution Estimation by Learning Representations Over Temporal Attributed Graphs.
IEEE Trans. Intell. Transp. Syst.
Wanyi Zhou, Xiaolin Xiao, Yue-Jiao Gong, Jia Chen, Jun Fang, Naiqiang Tan, Nan Ma, Qun Li, Hua Chai, Sang-Woon Jeon, Jun Zhang
2023 A* conf
iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation.
KDD
Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong
2020 C conf
Context-aware Route Recommendation with Weight Learning through Deep Neural Networks.
ACC
Huiwen Jia, Jun Fang, Naiqiang Tan, Xinyue Liu, Zengwei Huo, Nan Ma, Guobin Wu, Hua Chai, Xiaohu Qie, Bo Zhang, Yafeng Yin, Siqian Shen