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2008 

  • R. Huang, Y. Chen, and W. Zhang, DTG-Plan: Fast Planning by Search in Domain Transition Graphs, Proc. Sixth Int'l Planning Competition, Int'l Conf. on Automated Planning and Scheduling, 2008. (PDF)
     
  • Y. Chen, Q. Lv, and R. Huang, Plan-A: A Cost-Optimal Planner Based on SAT-Constrained Optimization, Proc. Sixth Int'l Planning Competition, Int'l Conf. on Automated Planning and Scheduling, 2008. (PDF)
     
  • Y. Chen, Faster Optimal State-Space Search with Graph Decomposition and Reduced Expansion, Technical Report WUCSE-2008-14, Department of Computer Science and Engineering, Washington University in St. Louis, 2008.  (PDF)
       
  • Y. Chen, and H. Sun, Convergence of Ant Colony Optimization on First-Order Deceptive Systems, IEEE International Conference on Granular Computing (GrC-08), 2008. (PDF)
     
  • Y. Chen, R. Huang, and W. Zhang, Fast Planning by Search in Domain Transition Graphs,  Proc. AAAI Conference on Artificial Intelligence (AAAI-08), 2008.  (PDF)
       
  • M. Chen, Y. Chen, and M. Brent, CRF-OPT: An Efficient High-Quality Conditional Random Field Solver,  Proc. AAAI Conference on Artificial Intelligence (AAAI-08), 2008.  (PDF)

2007 

  • V. Clark, Y. Chen, J. Wilkens, J. Alaly, K. Zakaryan, and J. Deasy, IMRT Treatment Planning for Prostate Cancer using Prioritized Prescription Optimization and Mean-Tail-Dose Functions,  Linear Algebra and Its Applications, 428(5):1345-1364, 2007. (PDF)
       
  • C. Hsu, Y. Chen, and B. Wah, Subgoal Ordering and Granularity Control for Incremental Planning,  International Journal on Artificial Intelligence Tools, 16(4): 707-723, 2007. (PDF)
         
  • Y. Chen and L. Tu, Density-Based Clustering for Real-Time Stream Data,  The Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-07), 2007. (Acceptance rate = 40/518 = 8%) (PDF)
       
  • V. Clark, I. E. Naqa, Y. Chen, and J. Deasy, Automated IMRT treatment planning using prioritized prescription optimization, the XVth International Conference on the Use of Computers in Radiation Therapy (ICCR-07), Toronto, Canada, June 2007. (PDF)
              
  • B. Wah, Y. Chen, and T. Wang, Simulated Annealing with Asymptotic Convergence for Nonlinear Constrained Optimization, Journal of Global Optimization, 39(1): 1-37, 2007. (PDF)
        
  • Y. Chen, X. Zhao, and W. Zhang, Long Distance Mutual Exclusion for Propositional Planning, Proc. International Joint Conference on Artificial Intelligence (IJCAI-07), pp. 1840-1845, 2007. (Acceptance rate = 212/1353 = 16%) (PS)
        
  • C. Hsu, B. Wah, R. Huang, and Y. Chen, Constraint Partitioning for Solving Planning Problems with Trajectory Constraints and Goal Preferences, Proc. International Joint Conference on Artificial Intelligence (IJCAI-07), pp. 1924-1929, 2007. (Acceptance rate = 212/1353 = 16%) (PS)   

2006                   

  • Y. Chen, A. Wan, and W. Liu, A Fast Parallel Algorithm for Finding the Longest Common Sequence of Multiple Biosequences, BMC Bioinformatics, 7(Suppl 4), 2006, BioMed Central. (PDF)
       
  • Y. Chen, G. Dong, J. Han, J. Pei, B. Wah, and J. Wang, Regression Cubes with Lossless Compression and Aggregation, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society, vol. 18, no. 12, pp. 1585-1599, December 2006. (PDF)
          
  • Y. Chen, C. Hsu, and B. Wah, Temporal Planning using Subgoal Partitioning and Resolution in SGPlan, Journal of Artificial Intelligence Research, AI Access Foundation, vol. 26, pp. 323-369, 2006.  (PDF
                
  • B. W. Wah and Y. Chen, Constrained Partitioning in Penalty Formulations for Solving Temporal Planning Problems, Artificial Intelligence, Elsevier Science Publishers,  vol. 170, no. 3, pp. 187-231, 2006. (PS, PDF)
         
         
  • L. Qin, Y. Chen, Y. Pan, and L. Chen, A Novel Approach to Phylogenetic Tree Construction using Stochastic Optimization and Clustering, BMC Bioinformatics, BioMed Central, 7(Suppl 4), 2006.
  • B. Wah, Y. Chen, and A. Wan, Constrained Global Optimization by Constraint Partitioning and Simulated Annealing, Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), pp. 265-272, November 2006. (PDF)
      
  • C. Hsu, B. Wah, R. Huang, and Y. Chen, New Features in SGPlan for Handling Soft Constraints and Goals Preferences in PDDL3.0, Proc. Fifth Int'l Planning Competition, Int'l Conf. on Automated Planning and Scheduling (ICAPS'06), pp. 39-42, June 2006. (PDF)
      
  • Z. Xing, Y. Chen, and W. Zhang, MaxPlan: Optimal Planning by Decomposed Satisfiability and Backward Reduction, Proc. Fifth Int'l Planning Competition, Int'l Conf. on Automated Planning and Scheduling (ICAPS'06), pp.53-56, June 2006. (PDF)
       
  • C. Hsu, B. Wah, R. Huang, and Y.Chen, Handling Soft Constraints and Goal Preferences in SGPlan, Workshop on Preferences and Soft Constraints in PlanningInternational Conference on Automated Planning and Scheduling (ICAPS'06), pp. 54-58, 2006. (PDF)
        
  • V. Clark, I. E. Naqa, Y. Chen, and J. Deasy, Can Dose-Volume Parameters be Replaced with gEUD in the Treatment Planning Process?, Medical Physics,  33(6): 2294-2294, 2006.
                 
  • X. Zhao, Y. Chen, and W. Zhang, An Efficient and Integrated
    Strategy for Temporal Planning
    , The Third International
    Conference on Integration of AI and OR Techniques in Constraint
    Programming for Combinatorial Optimization Problems (CPAIOR'06)
    ,
    pp. 273-287, June 2006. (Acceptance rate = 25%). (PDF)
                 
  • X. Zhao, Y. Chen, and W. Zhang, Optimal Planning by Maximum
    Satisfiability and Accumulative Learning
    , Proc. International Conference on Automated Planning and Scheduling (ICAPS'06),  pp. 442-447, June 2006. (PS)
            
  • Y. Chen, Y. Pan, and L. Tu, Multiple Sequence Alignment by Ant
    Colony Optimization and Divide-and-conquer,
    accepted, 2nd International Workshop on Bioinformatics Research and Applications, May 28-31, 2006. (Acceptance rate = 35/93 = 37%).
       
  • I. E. Naqa, V. Clark, Y. Chen, M. Vicic, D. Khullar, S. Shimpi, A. Hope, J. Bradley, and J. Deasy, Treatment Outcome-based Objective Functions for IMRT Treatment Planning,  International Journal of Radiation Oncology*Biology*Physics, 66:S687-S688, 2006.
             
  • Y. Chen, L. Chen, and L. Tu, Parallel Ant Colony Algorithm for Mining Classification Rules, IEEE International Conference on Granular Computing (GrC06), 2006. (Acceptance rate = 47/307 = 15%)
               
  • L. Qin, Y. Chen, L. Chen, and Y. Yuan, A New Optimization Algorithm Based on the Ant Colony System with Density Control Strategy, Third International Symposium on Neural Networks (ISNN 2006), 2006.  (Acceptance rate = 25%) (PS, PDF)
        
  • Y. Chen, Y. Pan, L. Chen, and J. Chen, Partitioned Optimization Algorithms for Multiple Sequence Alignment, Second IEEE Workshop on High Performance Computing in Medicine and Biology (HiPCoMB-2006), April 2006. (PS, PDF)
                
  • Y. Chen, Temporal Planning by a Continuous and Differentiable Nonlinear Optimization Formulation and Constraint Partitioning, Proc. 9th International Symposium on Artificial Intelligence and Mathematics, Jan. 2006. (PS, PDF)    

2005

  • J. Han, Y. Chen, G. Dong, J. Pei, B. W. Wah, J. Wang, and Y. Cai,  Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams, Distributed and Parallel Databases, Springer, Volume 18, Number 2, page 173-197, 2005. (PS, PDF)
       
  • Y. Chen, J. Shen, L. Chen, An ant colony algorithm based on Immunogenetics, Journal of Systems Science and Information, Research Information Ltd., U.K., Vol 3, No 2, pp 313-326, 2005.
        
  • Y. Chen, Functional Optimization Models for Active Queue Management, Technical Report WU-CSE-2005-60, Washington University, 2006. (PDF)
                    
        
  • C. W. Hsu, Y. Chen, and B. W. Wah Subgoal Ordering and Granularity Control for Incremental Planning, Proc. IEEE Int'l Conf. on Tools with Artificial Intelligence, pp. 507-514, Nov. 2005. Recipient of the Best Paper Award. (acceptance rate: 36/297=12% for regular papers) (PDF)
                             
  • B. W. Wah and Y.Chen, Solving Large-Scale Nonlinear Programming Problems by Constraint Partitioning, Eleventh Int'l Conf. on Principles and Practice of Constraint Programming (CP05), pp 697-711, Oct. 2005.  (PS, PDF)
                         
  • Y. Chen, Solving Nonlinear Constrained Optimization Problems Through Constraint Partitioning, Ph.D. Thesis, Department of Computer Science, UIUC, 2005 . (PS, PDF)
                             
  • Y. Chen, C. W. Hsu, and B. W. Wah, System Demonstration: Subgoal Partitioning and Resolution in SGPlan, System Demonstration Session, Int'l Conf. on Automated Planning and Scheduling (ICAPS05), AAAI, June 2005, pp. 32-35. (PS, PDF)

2004
                  

  • B. W. Wah and Y. Chen, Partitioning of Temporal Planning Problems in Mixed Space using the Theory of Extended Saddle Points, International Journal on Artificial Intelligence Tools, World Scientific, vol. 13, no. 4, pp. 767-790, 2004. (PS, PDF)
                    
  • L. Chen, Y. Pan, Y. Chen, and X. Xu, Efficient Parallel Algorithms for Euclidean Distance Transform,  The Computer Journal, Vol. 47, No. 6, pp. 694-700, Oxford University Press, 2004. (PS, PDF)
                 
  • L. Chen, H. Chen, Y. Pan, and Y. Chen, A Fast Efficient Parallel Hough Transform Algorithm on LARPBS, The Journal of Supercomputing, Vol. 29, No.2, pp. 185-195, Kluwer Academic, 2004. (PS, PDF)
                     
  • Y. Chen, C. Hsu and B.W. Wah, SGPlan: Subgoal Partitioning and Resolution in Planning, Proc. Fourth Int'l Planning Competition (IPC4), Int'l Conf. on Automated Planning and Scheduling (ICAPS04), 2004, pp 30-33. (PS, PDF)
                    
  • L. Chen, X. Xu, and Y. Chen, An Adaptive Ant Colony Clustering Algorithm, Proc. Third International Conference on Machine Learning and Cybernetics (ICMLC04), 2004, pp. 1387-1392. Recipient of the Lotfi Zadeh Outstanding Paper Award. (PS, PDF)
                  
  • L. Chen, X. Xu, and Y. Chen, A Novel Ant Clustering Algorithm Based on Cellular Automata, Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 04), 2004. Nominated for the best paper award. (PS, PDF)
                   
  • B. W. Wah and Y. Chen, The Evaluation of Partitioned Temporal Planning Problems in Discrete Space and its Application in ASPEN, Frontiers in Artificial Intelligence and Applications, vol. 112, W. X. Zhang and V. Sorge (ed.), IOS Press, 2004, pp. 109-123.

2003

  • B. W. Wah and Y. Chen, Hybrid Evolutionary and Annealing Algorithms for Nonlinear Discrete Constrained Optimization, International Journal of Computational Intelligence and Applications, Vol.3 No.4, pp. 331-355, Imperial College Press, 2003. (PS, PDF)
                       
  • B. W. Wah and Y. Chen, Partitioning of Temporal Planning Problems in Mixed Space using the Theory of Extended Saddle Points,
    Proc. 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 03), 2003, pp. 266-273.
                   
  • Y. Chen, B. W. Wah and R. Morris, Discrete-Space Lagrangian Optimization for Multi-Objective Temporal Planning, Proc. of 4th Int'l Workshop on Distributed Constraint Reasoning, International Joint Conference on Artificial Intelligence (IJCAI-03), 2003, pp. 115-121. (PS, PDF)
                    
  • Y. Chen and B. W. Wah, Automated Planning and Scheduling using Calculus of Variations in Discrete Space, Proc. International Conference on Automated Planning and Scheduling (ICAPS 03), 2003, pp. 2-11. (PS, PDF)
                         
  • C. Liu, M. Zhang, M. Zheng, and Y. Chen, Step-By-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube, Proc. the Seventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 03), 2003, pp. 437-448.

2002

  • Y. Chen and B. W. Wah, Calculus of Variations in Discrete Space for
    Constrained Nonlinear Dynamic Optimization,
    Proc. 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 02), 2002, pp. 67-74. (PS, PDF)
                      
  • Y. Chen, G. Dong, J. Han, B. W. Wah, and J. Wang, Multi-Dimensional
    Regression Analysis of Time-Series Data Streams,
    Proc. the 28th Int'l Conference on Very Large Data Bases (VLDB 02), 2002. pp. 323-334. (PS, PDF)
                       
  • Y. Chen, G. Dong, J. Han, J. Pei, B. W. Wah, and J. Wang, OLAPing
    Stream Data: Is It Feasible?
    Proc. Workshop on Research Issues in Data Mining and Knowledge Discovery, ACM SIGMOD, (DMKD 02), 2002, pp. 53-58. (PS, PDF)

2001

  • B. W. Wah and Y. Chen, Hybrid Constrained Simulated Annealing and Genetic Algorithms for Nonlinar Constrained Optimization,
    Proc. IEEE Congress on Evolutionary Computation (CEC 01), 2001, pp. 925-932.
                                               
  • Y. Chen, Optimal Anytime Search for Constrained Nonlinear Programming, M.Sc. Thesis, Department of Computer Science, UIUC, May 2001.
                           
  • B. W. Wah and Y. Chen, Constrained Genetic Algorithms and their Applications in Nonlinear Constrained Optimization,  Evolutionary Computation, X. Yao and R. Sarker (ed.), Kluwer Academic Publishers, 2001, pp. 253-273.

2000

  • B. W. Wah and Y. Chen, Constrained Genetic Algorithms and their
    Applications in Nonlinear Constrained Optimization,
    Proc. 11th IEEE Int'l Conf. on Tools with Artificial Intelligence (ICTAI 00), 2000, pp. 286-293.
                           
  • B. W. Wah and Y. Chen, Optimal Anytime Constrained Simulated Annealing for Constrained Global Optimization, Proc. Principles and Practice of Constraint Programming (CP00), 2000, pp. 425-440.