Dr. Yang Gao                                                  

Professor, Computer Science Dept., Nanjing University

No.22, Hankou Road

Nanjing, Jiangsu Province

210093, P.R. China

Email: gaoy (at) nju.edu.cn , gaoy (at) software.nju.edu.cn or yanggao.nju (at) gmail.com

Tel:(86-25)8368-6586

Fax:(86-25)8330-0710

Yang Gao is a teacher in the Computer Science Department at the Nanjing University. He recieved his B.S. in Dalian University of Technology in 1993, M.S. in Computer Aided Design from the Nanjing University of Science and Technology in 1996, and Ph.D. in Computer Science from the Nanjing University in 2000. He won the IBM China Visitorship Program in 2003 and visited the ETI in HKU from June to September 2003. He visited the University of Western Sydney in Dec, 2004, the Hong Kong Baptist University from Jan., 2005 to Feb., 2005 and Massey University, New Zealand in Dec, 2006.

 

Research Interests

Publications

Dissertation

Activities

Courses

Schedule

Training Courses

Interesting Links


Research Interests

My current research interests focus on multi-agent systems, machine learning, belief revision, and intelligent system.

  • Reinforcement Learning
  • Agent Theory (Belief Revision) and Multi-agent Systems
  • Intelligent System
  • Image Process and Video Surveillance

Publications

  • 2009(Selected Paper)

Mingzhe Liu, Ruili Wang, Rui Jiang, Mao-Bin Hu and Yang Gao, Defect-induced transitions in synchronous asymmetric exclusion processes, Physics Letters A, January , 2009, 37(2):195-200.

Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, Yang Gao: Apply ant colony optimization to Tetris. GECCO 2009: 1741-1742

Yubin Yang, Wei Wei, Tong Lu, Yang Gao, Yao Zhang, Chunsheng Yang: 3D Scene Analysis Using UIMA Framework. IEA/AIE 2009: 369-378.

Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu: Detecting Abnormal Events via Hierarchical Dirichlet Processes. PAKDD 2009: 278-289.(Best Student Paper)

  • 2008(Selected Paper)

Yang Gao, Lin Shang and Yubin Yang, Intelligent Systems in Nanjing University, IEEE Intelligent Informatics Bulletin, November , 2008, 9(2):1-2.

Yinghuan Shi, Yang Gao, Liangdong Shi and Xiaowen Guo, Object Tracking Based on Partition and Recombination, 2008 International Conference on Advanced Intelligence, 362-367.

Liang Zhu, Bo Zhao and Yang Gao, Multi-Class Multi-Instance Learning for Lung Cancer Image Classification Based on Bag Feature Selection, The 5th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08), 487-492.

Liangdong Shi, Yang Gao, Lei Wu and Lin Shang, Clustering with XCS on Complex Structure Dataset, Australasian Conference on Artificial Intelligence 2008, LNAI 5360, 2008, 489-499.

Weiwei Wang, Yang Gao, Xingguo Chen and Shen Ge, Reinforcement Learning with Markov Logic Networks, MICAI 2008, LNAI 5317, October , 2008, 230-242.

  • 2007 (Selected Paper)

Yang Gao, Joshua Huang, Lei Wu. Learning Classifier System Ensemble and Compact Rule Set, Connection Science, Vol 19(4):321-337, 2007. (IF: 1.297)

Ben-Nian Wang, Yang Gao, Zhao-Qian Chen, Jun-Yuan Xie, Shi-Fu Chen. A two-layered multi-agent reinforcement learning model and algorithm. Journal of Network and Computer Applications 30(4): 1366-1376 (2007) (IF: 1.071)

Wu Lei, Su Chang, Gao, Yang. Online community thread similarity measurement algorithm based on author analysis, Journal of Computational Information Systems, 3(3):1313-1319, 2007. (EI Index Number: 072610674410)

Yang Gao, Hao Wang, Ruili Wang. Three Perspectives on Multi-agent Reinforcement Learning. In: Architectural Design of Multi-Agent Systems: Technologies and Techniques. IGI Global, pp:234-246, 2007.

Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, and Da-qian Gu, LCSE: Learning Classifier System Ensemble for Incremental Medical Instances, in: Advances at the frontier of Learning Classifier Systems (Volume I)}, T. Kovacs, X. Llor\`{a}, K. Takadama, P.L. Lanzi, W. Stolzmann and S.W. Wilson, eds, Berlin, Springer-Verlag, Lecture Notes in Artificial Intelligence 4399: 93-103, 2007.ISTP Index Number:BGC62

Quan Liu, Yang Gao, ZhiMing Cui, WangShu Yao, ZhongWen Chen. An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning. ISICA 2007: Lecture Notes in Computer Science 4683: 262-270, 2007.

Shen Ge, Yang Gao, Ruili Wang. Least Significant Bit Steganography Detection with Machine Learning Techniques, in: Proc. of 2007 ACM SIGKDD Workshop on Domain Driven Data Mining (DDDM 07), San Jose, California, USA, August 12, 2007, pp. 24-32.

Yang Gao,Rui-yi Zhou,Hao Wang,Zhi-xin Cao. Study on an Average Reward Reinforcement Learning Algorithm. Chinese Journal of Computer. 2007,30(8):1372-1378. (in Chinese)

Yang Gao,Jin-kai Hu,Ben-nian Wang,Dong-li Wang. Elevator Group Control Using Reinforcement Learning with CMAC. ACTA ELECTRONICA SINICA, 2007.35(2): 362-365. (EI Index Number: 071610557398) (in Chinese)

  • 2006 (Selected Paper)

Yang Gao, Hao Wang, Ruili Wang. The Computation Method for Batch Belief Revision of Autonomous Agent.?In: Proceedings of The 3rd International Conference on Autonomous Robots and Agents. pp:421-424, Massey University, Palmerston North, New Zealand, 12th - 14th December 2006.

Yang Gao, Lei Wu, Joshua Zhexue Huang. Ensemble Learning Classifier System and Compact Ruleset. In: Proceedings of the 6th International Conference on Simulated Evolution and Learning. LNCS4247, pp:42-49, 2006.

Ben-Nian Wang, Yang Gao et al., K-Cluster Subgoal Discovery Algorithm for Option, Journal of Computer Research and Development, 2006,43(5): 851-855. (EI Index Number: EIP 062910013955) (In Chinese)

Ben-Nian Wang, Yang Gao et al., RLGA: A Reinforcement Learning based Genetic Algorithm, ACTA ELECTRONICA SINICA,2006,34(5):856-860. (EI Index Number: EIP063110043196) (In Chinese)

  • 2005

Yang Gao. Research progress of reinforcement learning. Jue Wang, Zhi-hua Zhou and Ao-ying Zhou eds. Machine Learning and Its Applications. Beijing, Tsinghua University Press. pp:116-134, 2005. (Book Chapter)

Chang Su, Yang Gao, Jianmei Yang. An efficient adaptive focused crawler based on ontology learning. Proceedings of the Fifth International Conference on Hybrid Intelligent Systems, HIS'05. November 06-09, 2005. Rio de Janeiro, Brazil. pp:73-78, 2005. (ISTP Number: BDN06)

Ben-Nian Wang, Yang Gao, Zhao-Qian Chen, Jun-Yuan Xie and Shi-Fu Chen. K-Cluster Algorithm for Automatic Discovery of Subgoals in Reinforcement Learning. International Conference on Intelligent Agents, Web Technology and Internet Commerce(IAWTIC05), Viena, Austria. Nov. 28-30, 2005

Xun Liu, Yang Gao, Dong Shao, Ruili Wang. Feedback based Dynamic Autonomous Web Service Composition. The Proceedings of 1st International Conference on Semantics, Knowledge and Grid(SKG2005), Beijing, China, November 2005, IEEE Press. 201-210.

Dongjun Cai, Zongwei Luo, Kun Qian, Yang Gao. Towards Efficient Selection of Web Services with Reinforcement Learning Process, ictai, pp.372-376, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005.

Chang Su, Yang Gao, Shi-Fu Chen, Zhao-Qian Chen. The Study of Recognizing Options Based on SMDP. Pattern Recognition and Artificial Intelligence(PR & AI), Vol.18(6):679-684. (in Chinese)

Da-qian Gu, Yang Gao. Incremental gradient descent imputation method for missing data in learning classifier systems. CSCA 2005. Computer Research and Development, 2005.42(9, Supplement-B):228-232.?(in Chinese)

Jing liping, Gao Yang et al. Feature weighting K-means algorithms for large-scale documents clustering. CSCA 2005. Beijing, Computer Research and Development, 2005.42(9, Supplement-B):85-90. (in Chinese)

Wang Ben-Nian, Gao Yang, Chen Shi-Fu, and XIE Jun-Yuan. A review on web intelligence research. Journal of Computer Research and Development. Vol.42(5):721-727. (EI Number: EIP05249161046) (in Chinese)

Yang Pei, Gao Yang, Chen Zhaoqian. Believability based Iterated Belief Revision. Journal of Computer Research and Development. Vol.42(8): 1293-1298. (in Chinese)

Da-qian Gu, Yang Gao. Incremental gradient descent imputation method for missing data in learning classifier systems. Genetic and Evolutionary Computation Conference {(GECCO2005)} workshop program. ACM Press, Washington, D.C., USA, 2005. 72-73.

Wang Dongli, Yang Gao, Pei Yang. Applying Neural Network to Reinforcement Learning in Continuous Spaces. the International Symposium on Neural Networks. Advances in Neural Networks ?ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I. LNCS 3496. pp: 621-626.(IDS Number: BCN38)

Ben-Nian Wang, Yang Gao, Zhao-Qian Chen, Jun-Yuan Xie, Shi-Fu Chen. LMRL: a multi-agent reinforcement learning model and algorithm. The Proceeding of IEEE 3rd International Conference on Information Technology and Application(ICITA05), Sydney, Australia, July 2005. 303-307. (ISTP Number: BCQ24)

Yang Gao, Joshua Zhexue Huang, Hongqing Rong and Daqian Gu. Learning classifier system ensemble for data mining. Genetic and Evolutionary Computation Conference {(GECCO2005)} workshop program. ACM Press, Washington, D.C., USA, 2005. 63-66.

Yang Gao, Joshua Zhexue Huang, Hongqiang Rong. Adaptive Grid Job Scheduling with Genetic Algorithm. Future Generation Computer System. Elsevier Press. 2005.21:151-161. (IDS Number: 890VT, EI Number: EIP04528746266)

Yang Gao, Zongwei Luo, Ning Li. Mapping Web Usage Patterns to MDP Model and Mining with Reinforcement Learning. FSKD(2) 2005. LNCS 3614. pp:698-702.  (IDS Number: BDA17)

  • 2004

Yang Gao, Hongqiang Rong, Frank Tong, Zongwei Luo, Joshua Huang. Adaptive job scheduling for a service grid using a genetic algorithm. Grid and Cooperative Computing: Second International Workshop, GCC 2003, Shanghai, China, December 7-10, Part II. LNCS 3033. pp.65-72. (IDS Number: BAC97)

Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Zhihua Zhou. Meta-game Equilibrium for Multi-agent Reinforcement Learning. AI 2004. LNAI 3339, Australia , December 6-10, pp. 930-936. (IDS Number: BBM32)

Gao Yang, Chen Shifu, Lu Xin. Research on reinforcement learning technology: a review, ACTA AUTOMATICA SINICA, 2004.30(1):76-90 (in Chinese)

Jia Songmao, Gao Yang, Sun Zhaochun, Chen Shifu. A computational method of general belief revision. Computer Research and Development. 2004. 41(5):769-773(in Chinese)  (EI Number: JYYFEY)

Li Ning, Gao Yang, Tang Guifeng, Chen Shifu. Mining Web Sequential Patterns Using Reinforcement Learning. Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Hangzhou, China, April 14-17, 2004. Proceedings. Lecture Notes in Computer Science 3007. pp: 920-923. (IDS Number: BY95Z)

Pei Yang, Yang Gao, Zhaoqian Chen, Shifu Chen. Believability Based Iterated Belief Revision. The 8th Pacific Rim International Conference on Artificial Intelligence. Trends in Artificial Intelligence: 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004. pp: 936-937.(IDS Number: BAU59)

Zhao Zhi-hong, Gao Yang, Luo Bin, Chen Shi-fu. Reinforcement learning technology in multi-agent system. Computer Science, 2004,31(3):23-27(in Chinese)

  • 2003

Yang Gao, Zhaochun Sun, Ning Li. How to choose the optimal policy in multi-agent belief revision? Guoyin Wang, Qing Liu, Yiyu Yao, Andrzej Skowron (Eds.): Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings. Lecture Notes in Computer Science 2639 Springer 2003. pp706-710. (IDS Number: BX12N)

Gao Yang, Lu Xin, Li Ning, Chen Shifu. An adaptive rule extracting algorithm in probabilistic plan, Journal of Nanjing University, Vol.39(2):145~152 (in Chinese)

Sun Zhaochun, Gao Yang, Jia Songmao, Chen Shifu, The research of multi-agent belief revision. Journal of Computer Science, 2003.30(6): 105-107 (in Chinese)

Sun Zhaochun, Gao Yang, Chen Shifu, The Research of Multi-Agent Belief Revision: A Survey, Journal of Guangxi Normal Univerisity, 2003.21(1): 74-80. (Issue on CJCAI02, Guilin, PR. China) (in Chinese)

  • 2002

Gao Yang, Li Ning, Lu Xin, Chen Shifu. An adaptive negotiation model in multi-agent system based on reinforcement learning, Proceedings of the International Conference on Intelligent Information TechnologyICIIT-02, Sept 2002, Beijing, P.R.China, pp 526-531.

Gao Yang, Li Ning, Lu Xin, Chen Shifu. A novel learning classifier system based on reinforcement learning, Proceedings of the 2002 International Conference on Control and AutomationICCA02, June 2002, Xiamen, P.R.China, pp 482-486.

Lu Xin, Gao Yang, Li Ning, Chen Shifu, Research on a reinforcement learning algorithm based on neural network, Journal of Computer Research And Development, 2002.39(8) :981-985 (in Chinese)

Jia Songmao,Gao Yang,Sun Zhaochun, Chen Shifu, The implementation and application of a multi agent system - BereFrame. Computer Engineering and Applications, 2002,38(Supplement):52-54 (in Chinese)

Wang Liang, Gao Yang, Chen Shifu, Chen Zhengjie, A method for transforming XML into relation database based on SQL, Application Research of Computers, 2002.19(8) pp. 70-72(in Chinese)

Wang Yue, Gao Yang, Wang Liang, Chen Shifu, An Ameliorated Method Based on Rijndael Algorithm, Application Research of Computers, 2002.19(11) pp. 84-87(in Chinese)

  • 2001

Gao Yang, Chen Shifu, Study on traffic modelling and delay of reservation-based ternary-tree protocol. Computer Applications and Software, 2001.18(3):51-56 (in Chinese)

Gao Yang, Chen Shifu, Approach to matrix-based storage model of video, Computer Applications and Software, 2001.18(2) :64-70(in Chinese)

Li Ning, Gao Yang, Lu Xin, Chen Shifu. A learning agent based on reinforcement learning, Journal of Computer Research and Development, 2001.38(9):1051-1056 (in Chinaese)

He Jiazhou, Zhou Zhihua, Gao Yang, Chen Shifu. Journal of Computer Research and Development, 2001.38(1) :93-97 (in Chinese)

Wang Lichun, Gao Yang, Chen Shifu, Reinforcement learning based negotiation model in AODE, Journal of Nanjing University, 2001.37(2):135-141 (in Chinese)

Lu Xin, Gao Yang, Li Ning, Chen Shifu, Function Approximation in Reinforcement Learning, CAAI'01, 2001.12, Beijing, China. (in Chinese)

Chen Zhengjie, Gao Yang, Li Ning, Chen Shifu, A realization method of B/S structure based on web in power supply security system, Application Research of Computers, 2001.18(10) :132-134 (in Chinese)

  • 2000

Gao Yang, Liu Haitao, Zhou Zhihua, Chen Zhaoqian, A Hybrid Multi-Concepts Acquisition SystemJournal of Software, 2000.11(4):453-460. (EI Number: EIP00095312036)

Gao Yang, Zhou Zhihua, He Jiazhou, Chen Shifu,  Research on markov game-based multiagent reinforcement learning model and algorithms, Journal of Computer Research and development, 2000.37(3):257-263 (in Chinese)

Li Ning, Gao Yang, Lu Xin, Chen Shifu, Research on learning agent in AODE system, Journal of Nanjing University, 2000.36(11) (in Chinese)

Jia-Zhou HE, Yang GAO, Hai-Tao LIU, Shi-Fu CHEN. An Information Dynamic Package Method for Data Warehousing. Information Technology for Business Management, Beijing, Dianzi Gongye Press, 2000.8.

  • 1999

Gao Yang, Zhou Zhihua, Sun Chen, Chen Zhaoqian, Exacting if-then rules from FTART neural Network, Pattern Recognition and Artificial Intelligence, 1999.12(4) :381-385. (in Chinese)

 

Dissertation

Research on Reinforcement Learning and Application in Multi-agent System (Supervised by Professor Chen Shi-fu)


Activities

Program Chair

      Agent2008 (http://agent2008.nju.edu.cn)

      CCML2009 (http://www.dlmu.edu.cn/ccml2009)

      CWI2009(http://www.hebtu.edu.cn/aacrssc/crssc2009/)

      CWI2008 (http://web.htu.cn/cs/crssc2008)

      CWI2007 (http://202.207.212.8/)

Organize Chair

      CWMLA'07 (http://lamda.nju.edu.cn/conf/mla07/)

      PAKDD'07 (http://lamda.nju.edu.cn/conf/PAKDD07/)

      CWMLA'06 (http://lamda.nju.edu.cn/conf/mla06/)

      CWMLA'05 (http://lamda.nju.edu.cn/conf/mla05/)

PC Member

      AI2009, ACML2009, PRICAI2008

Committee Member

      CCF Artificial Intelligence and Pattern Recognition

CAAI Council

      CAAI Machine Learning Council (Secretary-general )

      CAAI Rough Set and Soft Computing Council (Executive Comissioner)

      Jiangsu Computer Society (Senior Member)

      Artificial Intelligence Council, Jiangsu Computer Society (Vice Chair)


Courses

          Digital Image Process (CoursewareFor03) (CoursewareFor02) (CoursewareFor01) (CoursewareFor00) (CoursewareFor99) (CoursewareFor98) (A Brief History of Lena (Lenna))(Class_Introduction.PPT)(Ch01.ppt)(Ch02.ppt)(DIP_Exercise_Final.ppt)(Image Processing Toolbox)(Image_materials)(Ch03.ppt)(Ch04.ppt)(Ch05.ppt)(Ch06.ppt)(Ch07.ppt)(Ch08.ppt)(Ch09.ppt)(Ch10.ppt)(Ch11.ppt)(Ch12.ppt)(Ch13.ppt)(Ch15.ppt)(Ch17.ppt)

        Intelligent Agent Theory and Application (For Graduate Students)(Ch01,Ch02,Ch03,Ch04,Ch05,Ch06,RoboCup,CALO)

        Multimedia Technology (For Institute of Software) (Courseware)

        E-business Technology (Courseware)

        Artificial Intelligence (Courseware)

        Operation System (Courseware)

        Database (Courseware)

The Google Calender

        Link to …


Training Courses

        IBM E-business solution

        IBM Websphere studio v3.5 

        IBM Visual age for java v3.5 

        IBM Websphere studio application development

        Oracle 8i


Interesting Links

  • Reinforcement Learning
  • Agent and Multi-agent System
  • Learning Classifier System
  • Top Conference in 2010 Year