
陈兴国,博士,硕士生导师。1984年生,江苏南通人。
2014.01至今,讲师,南京邮电大学 计算机学院/软件学院
2007.09—2013.12,博士,南京大学 计算机科学与技术系
2003.09—2007.06,学士,南京大学 计算机科学与技术系
Email: chenxg@njupt.edu.cn

高阳,王皓,陈兴国,陈春林.吴文俊人工智能自然科学奖.二等奖. 中国人工智能学会. 2017.12

强化学习(Reinforcement Learning)
智能游戏(Game AI)
计算机自动编曲(Computer Algorithmic Music Composition)

Huihui Wang, Yinghuan Shi, Xingguo Chen, Yang Gao. Cost-Sensitive Alternating Direction Method of Multipliers for Large-Scale Classification. International Conference on Intelligent Data Engineering and Automated Learning. 2017, 315-325.
Yushuang Wu, Yuhao Lin, Xiaoyu Chen, Xingguo Chen*. The Theory of Modified Rings Game. International Conference on Intelligent Data Engineering and Automated Learning. 2017, 376-386.
吴毓双,陈筱语,马静雯,陈兴国*.基于一般化斜投影的异策略时序差分学习算法[J].南京大学学报(自然科学),2017,53(6):1052-1062.
Shangdong Yang, Yang Gao, Bo An, Hao Wang, and Xingguo Chen. Efficient Average Reward Reinforcement Learning using Constant Shifting Values, Thirtieth AAAI Conference on Artificial Intelligence (AAAI). 2258-2264, Phoenix, Arizona, USA, 2016. (EI)
陈兴国,俞扬. 强化学习及其在电脑围棋中的应用.自动化学报,2016, 42(5):685-695. (EI)
Chunling Cheng, Shu Wang, Xingguo Chen. A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2016, 12(3):1851829.
Yonghong Yu, Xingguo Chen. A survey of point-of-interest recommendation in location-based social networks. Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence. 2015, 53-60.
陈兴国, 高阳, 范顺国, 俞亚君. 基于核方法的连续动作Actor-Critic学习.模式识别与人工智能, 2014, 27(2):103-110.
Hao Wang, Shunguo Fan, Jinhua Song, Yang Gao, and Xingguo Chen, Reinforcement learning transfer based on subgoal discovery and subtask similarity. IEEE/CAA Journal of Acta Automatica Sinica, 2014, 1(3):257-266. (EI)
Xingguo Chen, Yang Gao, and Shunguo Fan. Temporal Difference Learning with Piecewise Linear Basis. Chinese Journal of Electronics (CJE), 2014, 23(1): 49-54. (SCI)
Xingguo Chen, Yang Gao, and Ruili Wang. Online selective kernel-based temporal difference learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2013, 24(12): 1944-1956. (SCI)
Wang, Hao, Yang Gao, and Xingguo Chen. Rl-dot: A reinforcement learning npc team for playing domination games. IEEE Transactions on Computational Intelligence and AI in Games (TCIAIG), 2010, 2(1):17-26. (SCI)
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, and Yang Gao. Apply ant colony optimization to Tetris. In Proc. 11th Annual Conference on Genetic and Evolutionary Computation (GECCO). 1741-1742, Montreal, QC, Canada, 2009. (EI)
王皓,高阳,陈兴国. 强化学习中的迁移:方法和进展. 电子学报,2008, 36(12A):39-43.
Google scholar

主持项目
      国家自然科学基金-青年项目:“基于值函数估计的强化学习算法研究(61403208)” (课题年限:2015~2017)
      计算机软件新技术国家重点实验室(南京大学)开放课题:“基于函数估计的高效强化学习算法研究(KFKT2016B04)” (课题年限:2016~2018)
      南京邮电大学引进人才科研启动基金:"智能交互式游戏中强化学习技术研究(XK0040914014)" (课题年限:2014~2017)
参与项目
      国家自然科学基金-青年项目:“基于早至波的非线性反演与成像研究(11501302)”(课题年限:2016~2018)
      国家自然科学基金-面上项目:“强化学习迁移技术及其在交互式游戏中的应用研究(61175042)” (课题年限:2012~2015)
      国家自然科学基金重点项目:“基于云计算的海量数据挖掘(61035003)” (课题年限:2011~2014)
      核高基重大专项:“自适应中间件支撑框架(2009ZX01043-001-06)” (课题年限:2009~2011)
      国家自然科学基金-面上项目:“新型强化学习算法及应用研究(60775046)” (课题年限:2008~2010)

会员
      江苏省人工智能学会机器学习专委会委员
      江苏省计算机学会人工智能专委会
      中国计算机学会会员
期刊审稿
      IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
      IEEE Transactions on Knowledge and Data Engineering (TKDE)
      IEEE Transactions on Intelligent Transportation Systems (TITS)
      ACM Transactions on Intelligent Systems and Technology (TIST)
      Future Generation Computer Systems (FGCS)
会议审稿
      AAAI2017 CCFBigData2017 ISKE2017 ICSC2016 IDEAL2016 PAAP2015 IDEAL2013 AGENT2012 CNCC'09

教学课程
      离散数学
      操作系统A
      操作系统
      操作系统B
      Java语言程序设计
      游戏设计与智能
实验课程
      算法与数据结构设计
      程序设计(上机)
      专业课程设计I
      专业课程设计II