Zefang Zong

19 papers A* 4A 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
AT
CoRR
Zefang Zong, Dingwei Chen, Yang Li, Qi Yi, Bo Zhou, Chengming Li, Bo Qian, Peng Chen, Jie Jiang
2026 J jnl
Understanding World or Predicting Future? A Comprehensive Survey of World Models.
ACM Comput. Surv.
Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li
2025 J jnl
Deep Reinforcement Learning for Demand-Driven Services in Logistics and Transportation Systems: A Survey.
ACM Trans. Knowl. Discov. Data
Zefang Zong, Tao Feng, Jingwei Wang, Tong Xia, Yong Li
2025 J jnl
Toward large reasoning models: A survey of reinforced reasoning with large language models.
Patterns
Fengli Xu, Qianyue Hao, Chenyang Shao, Zefang Zong, Yu Li, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Jie Feng, Chen Gao, Yong Li
2025 J jnl
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.
CoRR
Fengli Xu, Qianyue Hao, Zefang Zong, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Chenyang Shao, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Yu Li, Jie Feng, Chen Gao, Yong Li
2025 J jnl
UniCO: Towards a Unified Model for Combinatorial Optimization Problems.
CoRR
Zefang Zong, Xiaochen Wei, Guozhen Zhang, Chen Gao, Huandong Wang, Yong Li
2024 J jnl
Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window.
ACM Trans. Intell. Syst. Technol.
Zefang Zong, Tong Xia, Meng Zheng, Yong Li
2024 J jnl
Understanding World or Predicting Future? A Comprehensive Survey of World Models.
CoRR
Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li
2023 A conf
An AI-based Simulation and Optimization Framework for Logistic Systems.
CIKM
Zefang Zong, Huan Yan, Hongjie Sui, Haoxiang Li, Peiqi Jiang, Yong Li
2023 J jnl
NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning.
Appl. Soft Comput.
Haoqiang Liu, Zefang Zong, Yong Li, Depeng Jin
2023 J jnl
Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups.
ACM Trans. Knowl. Discov. Data
Jinwei Chen, Zefang Zong, Yunlin Zhuang, Huan Yan, Depeng Jin, Yong Li
2022 A* conf
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems.
AAAI
Zefang Zong, Meng Zheng, Yong Li, Depeng Jin
2022 A* conf
Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning.
KDD
Tao Feng, Tong Xia, Xiaochen Fan, Huandong Wang, Zefang Zong, Yong Li
2022 A* conf
RBG: Hierarchically Solving Large-Scale Routing Problems in Logistic Systems via Reinforcement Learning.
KDD
Zefang Zong, Hansen Wang, Jingwei Wang, Meng Zheng, Yong Li
2021 J jnl
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey.
CoRR
Zefang Zong, Tao Feng, Tong Xia, Depeng Jin, Yong Li
2020 J jnl
Reinforced Epidemic Control: Saving Both Lives and Economy.
CoRR
Sirui Song, Zefang Zong, Yong Li, Xue Liu, Yang Yu
2019 A* conf
DeepDPM: Dynamic Population Mapping via Deep Neural Network.
AAAI
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li
2018 J jnl
DeepDPM: Dynamic Population Mapping via Deep Neural Network.
CoRR
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li
2018 J jnl
Multi-Channel Auto-Encoder for Speech Emotion Recognition.
CoRR
Zefang Zong, Hao Li, Qi Wang