Multi-Channel Auto-Encoder for Speech Emotion Recognition. - Zefang Zong; Hao Li; Qi Wang (CoRR, 2018)

DeepDPM: Dynamic Population Mapping via Deep Neural Network. - Zefang Zong; Jie Feng 002; Kechun Liu; Hongzhi Shi; Yong Li 008 (AAAI, 2019)

Reinforced Epidemic Control: Saving Both Lives and Economy. - Sirui Song; Zefang Zong; Yong Li 008; Xue Liu; Yang Yu 011 (CoRR, 2020)

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey. - Zefang Zong; Tao Feng; Tong Xia; Depeng Jin; Yong Li 008 (CoRR, 2021)

MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems. - Zefang Zong; Meng Zheng 003; Yong Li 008; Depeng Jin (AAAI, 2022)

Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning. - Tao Feng; Tong Xia; Xiaochen Fan; Huandong Wang; Zefang Zong; Yong Li 008 (KDD, 2022)

RBG: Hierarchically Solving Large-Scale Routing Problems in Logistic Systems via Reinforcement Learning. - Zefang Zong; Hansen Wang; Jingwei Wang 002; Meng Zheng 003; Yong Li 008 (KDD, 2022)

An AI-based Simulation and Optimization Framework for Logistic Systems. - Zefang Zong; Huan Yan; Hongjie Sui; Haoxiang Li; Peiqi Jiang; Yong Li 008 (CIKM, 2023)

Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups. - Jinwei Chen; Zefang Zong; Yunlin Zhuang; Huan Yan; Depeng Jin; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2023)

NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning. - Haoqiang Liu; Zefang Zong; Yong Li 008; Depeng Jin (Appl. Soft Comput., 2023)

Understanding World or Predicting Future? A Comprehensive Survey of World Models. - Jingtao Ding; Yunke Zhang; Yu Shang; Yuheng Zhang; Zefang Zong; Jie Feng 002; Yuan Yuan 032; Hongyuan Su; Nian Li; Nicholas Sukiennik; Fengli Xu; Yong Li 008 (CoRR, 2024)

Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window. - Zefang Zong; Tong Xia; Meng Zheng 003; Yong Li 008 (ACM Trans. Intell. Syst. Technol., 2024)

Deep Reinforcement Learning for Demand-Driven Services in Logistics and Transportation Systems: A Survey. - Zefang Zong; Tao Feng; Jingwei Wang 002; Tong Xia; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2025)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models. - Fengli Xu; Qianyue Hao; Zefang Zong; Jingwei Wang 002; Yunke Zhang; Jingyi Wang 002; Xiaochong Lan; Jiahui Gong; Tianjian Ouyang; Fanjin Meng; Chenyang Shao; Yuwei Yan; et al. (CoRR, 2025)

UniCO: Towards a Unified Model for Combinatorial Optimization Problems. - Zefang Zong; Xiaochen Wei; Guozhen Zhang; Chen Gao 001; Huandong Wang; Yong Li 008 (CoRR, 2025)