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Opponent-aware Order Pricing towards Hub-oriented Mobility Services
Published in 39th IEEE International Conference on Data Engineering (ICDE 2023), 2023
This paper proposes a novel opponent-aware pricing framework for emerging hub-oriented mobility services, significantly improving platform revenue and operational efficiency.
Recommended citation: Zuohan Wu, Libin Zheng, Chen Jason Zhang, Huaijie Zhu, Jian Yin, Di Jiang. "Opponent-aware Order Pricing towards Hub-oriented Mobility Services." ICDE 2023, pp. 1874-1886. https://doi.org/10.1109/ICDE55515.2023.00146
DRLPG: Reinforced Opponent-Aware Order Pricing for Hub Mobility Services
Published in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
This paper develops a deep reinforcement learning model with a multi-policy fusion mechanism that enables more adaptive and profitable pricing strategies in dynamic competitive environments.
Recommended citation: Zuohan Wu, Chen Jason Zhang, Han Yin, Rui Meng, Libin Zheng, Huaijie Zhu, Wei Liu. "DRLPG: Reinforced Opponent-Aware Order Pricing for Hub Mobility Services." IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 6, pp. 3298-3311, 2025. https://doi.org/10.1109/TKDE.2025.3551147
Efficient Zero-shot and Label-free Log Anomaly Detection for Resource-constrained Systems
Published in 40th IEEE International Conference on Data Engineering (ICDE 2026), 2026
This paper presents MaidLog, an LLM-based framework achieving industry-leading zero-shot accuracy for log anomaly detection while efficiently running on resource-constrained edge devices.
Recommended citation: Zuohan Wu, Chen Jason Zhang, Han Yin, Rui Meng, Libin Zheng, Huaijie Zhu, Wei Liu. "Efficient Zero-shot and Label-free Log Anomaly Detection for Resource-constrained Systems." ICDE 2026.