2018

  • M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, Proc. Association for the Advancement of Artificial Intelligence (AAAI-18), 2018.
  • M. Zhang, Z. Cui, S. Jiang, and Y. Chen, Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space, Proc. Association for the Advancement of Artificial Intelligence (AAAI-18), 2018.

2017

  • M. Zhang and Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-17), oral presentation, 2017. (PDF)(Video)(Source code)
  • H. Wang, Z. Cui, Y. Chen, A. Abdallah, A. Kronzer, M. Avidan, Cost-sensitive Deep Learning for Early Readmission Prediction at A Major Hospital, Proc. International Workshop on Data Mining in Bioinformatics (BIOKDD-17), 2017. (PDF)
  • Z. Yao, Z. Zhu, and Y. Chen, Atrial fibrillation detection by multi-scale convolutional neural networks, Proc. 20th IEEE International Conference on Information Fusion (Fusion-17), 2017. (PDF)
  • X. Xie, L. Lin, S. Fan, W. Zhou, F. Lin, L. Wang, T. Guo, X. Ma, Y. He, Y. Chen, Internet hospital in China: a cross-sectional survey,  J. Med Internet Res., 19(7):e239, 2017.
  • D. Picker, M. Dans, K. Heard, T. Bailey, Y. Chen, C. Lu, M. Kollef, A randomized trial of palliative care discussions linked to an automated early warning system alert,  Critical Care Medicine, 45(2): 234-240, 2017. (PDF)
  • M. Kollef, K. Heard, Y. Chen, C. Lu, N. Martin, and T. Bailey, Mortality and Length of Stay Trends Following Implementation of a Rapid Response System and Real-Time Automated Clinical Deterioration Alerts,  American Journal of Medical Quality, 32(1): 12-18, 2017. (PDF)
  • T. Oyetunde, M. Zhang, Y. Chen, Y. Tang, and C. Lo, BoostGAPFILL: Improving the fidelity of metabolic network reconstructions through integrated constraint and pattern-based methods,  Bioinformatics, 33(4):608-611, 2017. (PDF)
  • Q. Lu, Z. Cui, Y. Chen, and X. Chen, Extracting Optimal Actionable Plans from Additive Tree Models, Frontiers of Computer Science, 11:160, doi:10.1007/s11704-016-5273-4, 2017. (PDF)

2016

  • W. Chen, J. Wilson, S. Tyree, K. Weinberger, and Y. Chen, Compressing Convolutional Neural Networks in the Frequency Domain, Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-16), 2016. (PDF)
  • Q. Lv, Y. Xu, Y. Chen, R. Huang, and L. Chen, Enhancing State Space Search for Planning by Monte-Carlo Random Walk Exploration, Proc. the 17th International Conference on Intelligent Data Enginering and Automated Learning (IDEAL-16), 2016. Best Paper Award. (PDF)
  • Z. Cui, W. Chen, and Y. Chen, Multi-Scale Convolutional Neural Networks for Time Series Classification, arXiv preprint arXiv:1603.06995, 2016. (PDF)(source code)
  • C. Wu, D. Gunatilaka, A. Saifullah, M. Sha, P. Tiwari, C. Lu, and Y. Chen, Maximizing Network Lifetime of WirelessHART Networks under Graph Routing, Proc. IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI-16), 2016.
  • S. Micek, M. Samant, T. Bailey, Y. Chen, C. Lu, K. Heard, M. Kollef, Real-time automated clinical deterioration alerts predict thirty-day hospital readmission,  Journal of Hospital Medicine, 11(11):768-772. doi: 10.1002/jhm.2617, 2016. (PDF)
  • L. He, S. Wu, M. Zhang, Y. Chen, and Y. Tang, WUFlux: an open-source platform for 13C metabolic flux analysis of bacterial metabolism,  BMC Bioinformatics, accepted, 2016.
  • C. Lu, A. Saifullah, B. Li, M. Sha, H. Gonzalez, D. Gunatilaka, C. Wu, L. Nie, and Y. Chen, Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems, Proceedings of IEEE, 104(5): 1013-1024, 2016.

2015

  • W. Chen, J. Wilson, S. Tyree, K. Weinberger, and Y. Chen, Compressing Neural Networks with the Hashing Trick, Proc. International Conference on Machine Learning (ICML-15), 2015. (PDF)(source code)
  • Z. Cui, W. Chen, Y. He, and Y. Chen, Optimal Action Extraction for Random Forests and Boosted Trees, Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-15), 2015. (PDF)
  • W. Chen, Y. Chen, and K. Weinberger, Filtered Search for Submodular Maximization with Controllable Approximation Bounds, Proc. The 18th International Conference on Artificial Intelligence and Statistics (AISTATS-15), 2015. (PDF)
  • Q. Zhou, W. Chen, S. Song, J. Gardner, K. Weinberger and Y. Chen, A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing, Proc. AAAI Conference on Artificial Intelligence (AAAI-15), 2015. (PDF)
  • Y. Wang, W. Chen, K. Heard, M. Kollef, T. Bailey, Z. Cui, Y. He, C. Lu, and Y. Chen, Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method, Proc. American Medical Informatics Annual Fall Symposium (AMIA-15), 2015. Distinguished Paper Award. (PDF)
  • A. Saifullah, D. Gunatilaka, P. Tiwari, M. Sha, C. Lu, B. Li, C. Wu, and Y. Chen, Schedulability Analysis under Graph Routing in WirelessHART Networks, Proc. IEEE Real-Time Systems Symposium (RTSS-15), 2015. (PDF)
  • G. Zou, Y. Gan, Y. Chen, B. Zhang, R. Huang, Y. Xu, and Y. Xiang, Towards automated choreography of Web services using planning in large scale service repositories, Applied Intelligence, accepted, 2015.
  • G. Zou, Y. Gan, Y. Chen, and B. Zhang, Dynamic composition of Web services using efficient planners in large-scale service repository, Knowledge-Based Systems, accepted, 2015.
  • Y. He, Y. Mao, W. Chen, and Y. Chen, Nonlinear Metric Learning with Kernel Density Estimation, IEEE Transactions on Knowledge and Data Engineering, accepted, 2015. (Extension of our ICDM'13 paper which is nominated for the Best Paper Award and invited for journal publication.) (PDF)
  • W. Chen, Y. Chen, and D. Levine, A Unifying Learning Framework for Building Artificial Game-Playing Agents, Annals of Mathematics and Artificial Intelligence, DOI:10.1007/s10472-015-9450-1, 2015. (PDF)
  • A. Leavey, Y. Fu, M. Sha, A. Kutta, C. Lu, W. Wang, B. Drake, Y. Chen, and P. Biswas, Air quality metrics and wireless technology to maximize the energy efficiency of HVAC in a working auditorium, Building and Environment, 85:287-297, 2015. (PDF)

2014

  • W. Chen, Y. Chen, K. Weinberger, Fast Flux Discriminant for Large-Scale Sparse Nonlinear Classification, Proc. ACM SIGKDD Conference (KDD-14), 2014. Best Student Paper Runner-up Award for this work on an interpretable machine learning method. (PDF) (source code)
  • M. Kusner, W. Chen, Q. Zhou, Z. Xu, K. Weinberger, and Y. Chen, Feature-Cost Sensitive Learning with Submodular Trees of Classifiers, Proc. AAAI Conference on Artificial Intelligence (AAAI-14), 2014. (PDF)
  • Y. Fu, M. Sha, C. Wu, A. Kutta, C. Lu, H. Gonzalez, A. Leavey, W. Wang, B. Drake, Y. Chen, P. Biswas, Thermal Modeling for a HVAC Controlled Real-life Auditorium, Proc. International Conference on Distributed Computing Systems (ICDCS-14), 2014. (PDF)
  • S. Hossain, A. Ali, M. Rahman, E. Ertin, D. Epstein, A. Kennedy, K. Preston, A. Umbricht, Y. Chen, and S. Kumar, Identifying Drug (Cocaine) Intake Events from Acute Physiological Response in the Presence of Free-living Physical Activity, Proc. The 13th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN-14), 2014. (PDF)

  • C. Wu, M. Sha, D. Gunatilaka, A. Saifullah, C. Lu, Y. Chen, J. Liu, X. Wang, Analysis of EDF Scheduling for Wireless Sensor-Actuator Networks, Proc. IEEE/ACM International Symposium on Quality of Service (IWQoS-14), 2014. (PDF)
  • A. Saifullah, Y. Xu, C. Lu, and Y. Chen, End-to-End Communication Delay Analysis in Industrial Wireless Networks, IEEE Transactions on Computers, accepted, 2014. (PDF)

  • A. Saifullah, Y. Xu, C. Lu, and Y. Chen, Distributed Channel Allocation Protocols for Wireless Sensor Networks, IEEE Transactions on Parallel and Distributed Systems, in press, 2014.(PDF)
  • G. Zou, Q. Lu, Y. Chen, R. Huang, Y. Xu, and Y. Xiang, QoS-Aware Dynamic Composition of Web Services using Numerical Temporal Planning, IEEE Transactions on Services Computing, in press, 2014. (PDF)
  • A. Saifullah, C. Wu, P. Tiwari, Y. Xu, Y. Fu, C. Lu, and Y. Chen, Near Optimal Rate Selection for Wireless Control Systems, IEEE Transactions on Embedded Computing Systems, accepted, 2014. (Extension of our RTAS-12 paper.) (PDF)
  • Q. Lu, Y. Chen, J. Wilson, L. Thomas, C. Gill, G-C. Roman, G. Chen, Situation-Aware Composition and Execution in Dynamic Environments by Automated Planning, Engineering Applications of Artificial Intelligence, 35:215-236, 2014. (PDF)

 

2013

  • W. Chen, K. Weinberger, and Y. Chen, Maximum Variance Correction with Application to A* Search, Proc. International Conference on Machine Learning (ICML-13), 2013. (PDF) (source code)
  • W. Chen, Y. Chen, Y. Mao, and B. Guo, Density-Based Logistic Regression, Proc. ACM SIGKDD Conference (KDD-13), 2013. An interpretable machine learning method for understandable nonlinear classification. (PDF)(source code)
  • Q. Lu, W. Chen, Y. Chen, K. Weinberger, and X. Chen, Utilizing Landmarks in Euclidean Heuristics for Optimal Planning, Late-Breaking Track, Proc. AAAI Conference on Artificial Intelligence (AAAI-13), 2013. (PDF)
  • W. Chen, Y. Chen, K. Weinberger, Q. Lu, and X. Chen, Goal-Oriented Euclidean Heuristics with Manifold Learning, Proc. AAAI Conference on Artificial Intelligence (AAAI-13), 2013. (PDF)
  • Y. He, W. Chen, Y. Mao, and Y. Chen, Kernel Density Metric Learning, Proc. IEEE International Conference on Data Mining (ICDM-13), 2013. Best Paper Award Nomination. (PDF)
  • S. Padmanabhan, Y. Chen, and R. Chamberlain, Decomposition Techniques for Optimal Design-Space Exploration of Streaming Applications, Proc. ACM SIGPLAN Principles and Practice of Paralle Computing (PPoPP-13), 2013. (PDF)
  • X. Wang, G. Xing, J. Chen, C. Lin, and Y. Chen, Intelligent Sensor Placement for Hot Server Detection in Data Centers, IEEE Transactions on Parallel and Distributed Systems, 24(8):1577-1588, 2013. (PDF)
  • Q. Lu, R. Huang, Y. Chen, Y. Xu, W. Zhang, G. Chen, A SAT-based Approach to Cost Sensitive Temporally Expressive Planning, ACM Transactions on Intelligent Systems and Technology, 5(1):18:1-18:35 , 2013. (PDF)
  • X. Cheng, P. Du, J. Guo, X. Zhu, and Y. Chen, Ranking on Data Manifold with Sink Points, IEEE Transactions on Knowledge and Data Engineering, 25(1):177-191, 2013. (PDF)
  • B. Chen, L. Chen, and Y. Chen, Efficient Ant Colony Optimization for Image Feature Selection, Signal Processing, 93(6):1566-1576, 2013. (PDF)
  • T. Bailey, Y. Chen, Y. Mao, C. Lu, G. Hackmann, S. T. Micek, K. Heard, K. Faulkner, and M. H. Kollef, A Trial of a Real-time Alert for Clinical Deterioration in Patients Hospitalized on General Medical Wards,  Journal of Hospital Medicine, 8(5):236-242, 2013. (PDF)
  • J. Chen, Y. Chen, E. Xu, R. Huang, Z. Chen, A Planning Approach to the Recognition of Multiple Goals, International Journal of Intelligent Systems, 28(3):203-216, 2013. (PDF)

 

    2012

  • Y. Mao, W. Chen, Y. Chen, C. Lu, M. Kollef, and T. Bailey, An Integrated Data Mining Approach to Real-time Clinical Monitoring and Deterioration Warning, Proc. ACM SIGKDD Conference (KDD-12), 2012. (PDF)
  • G. Zou, Y. Chen, Y. Xu, R. Huang, and Y. Xiang, Towards Automated Choreographing of Web Services using Planning, Proc. AAAI Conference on Artificial Intelligence (AAAI-12), 2012. (PDF)
  • S. Padmanabhan, Y. Chen and R. Chamberlain, Convexity in Non-convex Optimizations of Streaming Applications, Proc. International Conference on Parallel and Distributed Systems (ICPADS-12), 2012. (PDF)
  • A. Saifullah, C. Wu, P. Tiwari, Y. Xu, Y. Fu, C. Lu, and Y. Chen, Near Optimal Rate Selection for Wireless Control Systems, Proc. 18th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS-12), 2012. Nominated for the Best Paper Award. (PDF).
  • R. Dor, G. Hackmann, Z. Yang, C. Lu, Y. Chen, M. Kollef and T.C. Bailey, Experiences with an End-To-End Wireless Clinical Monitoring System, Proc. Wireless Health (WH-12), 2012. (PDF)
  • C. Wu, Y. Xu, Y. Chen, and C. Lu, Submodular Game for Distributed Application Allocation in Shared Sensor Networks, Proc. IEEE International Conference on Computer Communications (InfoCom-12), 2012. (PDF)
  • R. Huang, Y. Chen, and W. Zhang, SAS+ Planning as Satisfiability, Journal of Artificial Intelligence Research, 43:293-328, 2012. (PDF) (Extension of our AAAI-10 paper "A Novel Transition Based Encoding Scheme for Planning as Satisfiability".)
  • X. Feng, Y. Xu, Y. Chen, and Y. Tang, MicrobesFlux: a web platform for drafting metabolic models from the KEGG database, BMC Systems Biology, accepted, 2012. (Demo Video)(Web page)
  • X. Feng, Y. Xu, Y. Chen, and Y. Tang, Integrating Flux Balance Analysis into Kinetic Models to Decipher the Dynamic Metabolism of Shewanella oneidensis MR-1, PLoS Computational Biology, 8(2): e1002376, doi:10.1371/journal.pcbi.1002376, 2012. (PDF)
  • Y. Mao, Y. Chen, G. Hackmann , M. Chen, C. Lu, M. Kollef, and T. Bailey, Early Deterioration Warning for Hospitalized Patients by Mining Clinical Data, International Journal of Knowledge Discovery in Bioinformatics, 2(3):1-20, 2012. (PDF)
  • H. Shen, X. Cheng, Y. Wang, Y. Chen, A Dimensionality Reduction Framework for Detection of Multiscale Structure in Heterogeneous Networks, Journal of Computer Science and Technology, 27(2):341-357, 2012. (PDF)
  • C. Dai, L. Chen, Y. Chen, and K. Tang, An Efficient Algorithm for Top-k Queries on Uncertain Data Streams, Proc. International Conference on Machine Learning and Applications (ICMLA-12), 2012. (PDF)
  • P. Tiwari, Y. Xue, Y. Chen, and J. Deasy, Computational Boundary Sampling to Accelerate IMRT Optimization, American Association of Physicists in Medicine Conference (AAPM-12), 2012. (PDF)
  • H. Zhou, Y. Mao, D. Lei, A. Kidd, K. Ohlemiller, D. Ding, Y. Chen, and J. Bao, Synaptic Mechanisms Underlying A Combination Therapy for Noise-Induced Hearing Loss, The 35th MidWinter Meeting of the Association for Research in Otolaryngology (ARO-12) , 2012. (PDF)

 

     2011

  • M. Chen, K. Weinberger, and Y. Chen, Automatic Feature Decomposition for Single View Co-training, Proc. International Conference on Machine Learning (ICML-11), 2011. (PDF)
  • M. Chen, J. Sun, Y. Chen, and X. Ni, Improving Context-Aware Query Classification via Adaptive Self-training, Proc. ACM Conference on Information and Knowledge Management (CIKM-11), 2011. (PDF)
  • X. Wang, X. Wang, G. Xing, J. Chen, C. Lin, and Y. Chen, Towards Optimal Sensor Placement for Hot Server Detection in Data Centers, Proc. International Conference on Distributed Computing Systems (ICDCS-11), 2011. (PDF)
  • A. Saifullah, Y. Xu, C. Lu, and Y. Chen, Priority Assignment for Real-Time Flows in WirelessHART Networks, Proc. Euromicro Conference on Real-Time Systems  (ECRTS-11), 2011. (PDF)
  • A. Saifullah, Y. Xu, C. Lu and Y. Chen, End-to-End Delay Analysis for Fixed Priority Scheduling in WirelessHART Networks, Proc. 17th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS-11), 2011. (PDF)
  • X. Chang, R.  Tan, G. Xing, Z. Yuan, C. Lu, Y. Chen, and Y. Yang, Sensor Placement Algorithms for Fusion-based Surveillance Networks, IEEE Transactions on Parallel and Distributed Systems, 22(8):1407-1414, 2011. (PDF) (Supplement)
  • R. Xi, N. Lin, Y. Chen, and Y. Kim, Compression and Aggregation of Bayesian Estimates for Data Intensive Computing, Knowledge and Information Systems, accepted, 2011. (PDF)
  • Y. Xu , Y. Chen, Q. Lu, and R. Huang, Theory and Algorithms for Partial Order Based Reduction in Planning, CoRR, abs/1106.5427, 2011. (PDF)(Errata)
  • Q. Lu, Y. Xu, R. Huang, Y. Chen, and G. Chen, Can Cloud Computing be Used for Planning? An Initial Study, Proc. IEEE CloudCom (CloudCom-11), 2011. (PDF)
  • Y. Mao, Y.Chen, G. Hackmann , M. Chen, C. Lu, M. Kollef, and T. Bailey, Medical Data Mining for Early Deterioration Warning in General Hospital Wards, Proc. ICDM Workshop on Biological Data Mining and its Applications in Healthcare (BioDM-11), 2011. (PDF)
  • G. Hackmann , M. Chen, O. Chipara, C. Lu, Y. Chen, M. Kollef, and T. Bailey, Toward a Two-Tier Clinical Warning System for Hospitalized Patients, Proc. American Medical Informatics Association Annual Sympoisum (AMIA-11), 2011. (PDF)
  • L. Chen, B. Chen, and Y. Chen, Image Feature Selection Based on Ant Colony Optimization, Proc.  24th Australasian Joint Conference on Artificial Intelligence (AI-11), 2011. (PDF)
  • S. Padmanabhan, Y. Chen and R. Chamberlain, Optimal Design-Space Exploration of Streaming Applications, Proc. 22nd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP-11), 2011. (PDF)
  • Q. Lu, Y. Chen, M. Haitjema, C. Gill, C. Roman, and G. Chen, Temporal Planning for Co-Design of Host Scheduling and Workflow Allocation in Mobile Environments, Proc. Scheduling and Planning Applications Workshop (SPARK) at ICAPS-11, 2011. (PDF)

  • Q. Lu, E. Xu, R. Huang, and Y. Chen, The Roamer Planner: Random Walk Assisted Best-First Search, Proc. International Planning Competition (IPC-11), 2011 . (PDF)

  • E. Xu, Q. Lu, R. Huang, and Y. Chen, The Roamer-p Planner, Proc. International Planning Competition (IPC-11), 2011 . (PDF)

 

     2010

  • R. Huang, Y. Chen, and W. Zhang, A Novel Transition Based Encoding Scheme for Planning as Satisfiability,  Proc. AAAI Conference on Artificial Intelligence (AAAI-10), Outstanding Paper Award, 2010. (PDF) (source code)(award)
  • A. Saifullah, Y. Xu, C. Lu, and Y. Chen, Real-Time Scheduling for WirelessHART Networks, Proc. IEEE Real-Time Systems Symposium (RTSS-10), 2010.  (PDF)      
  • S. Padmanabhan, Y. Chen, and R. Chamberlain, Design Space Optimization for Automatic Acceleration of Streaming Applications, Proc. Symposium on Application Accelerators in High Performance Computing (SAAHPC-10), 2010.       
  • Y. Xu, A. Saifullah, Y. Chen, C. Lu, and S. Bhattacharya, Near Optimal Multi-Application Allocation in Shared Sensor Networks, Proc. ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc-10), 2010. (PDF)

  • G. Zou, Y. Chen, Y. Yang, R. Huang, and Y. Xu, AI Planning and Combinatorial Optimization for Web Service Composition in Cloud Computing, Proc. International Conference on Cloud Computing and Virtualization (CCV-10), 2010.  (PDF)         
  • Y. Chen and M. Chen, Extended Duality for Nonlinear Programming, Computational Optimization and Applications, 47(1):33-59, 2010. (PDF)
  • T. Schiller, Y. Chen, I. El Naqa, and J. Deasy, Modeling Radiation-Induced Lung Injury Risk with an Ensemble of Support Vector Machines, 73(10):1861-1867, Neurocomputing, 2010. (PDF)         
  • G. Zou, Y. Xiang, Y. Gan, and Y. Chen, An Efficient Semantic Annotation Method for Web Services Utilizing Concept Mapping and Interface Expansion, Soft Computing, online first, 2010. (PDF)
  • R. Sowell, Y. Chen, J. Buhler, S. Goldman, C. Grimm, K. Goldman, Experiences with Active Learning in C3, Consortium/Journal of Computing Sciences in Colleges, 2010. (PDF)

2009  

  • Y. Chen and G. Yao, Completeness and Optimality Preserving Reduction for Planning, Proc. International Joint Conference on Artificial Intelligence (IJCAI-09), 2009. (PDF)(Errata)
        
  • Y. Chen, Y. Xu, and G. Yao, Stratified Planning, Proc. International Joint Conference on Artificial Intelligence (IJCAI-09), 2009. (PDF)(Errata)
  • R. Huang, Y. Chen, and W. Zhang, An Optimal Temporally Expressive Planner: Initial Results and Application to P2P Network Optimization, Proc. International Conference on Automated Planning and Scheduling, (ICAPS-09), 2009. (PDF)
        
  • M. Chen, Y. Chen, M. Brent, and A. Tenney, Constrained Optimization for Validation-Guided Conditional Random Field Learning, Proc. ACM SIGKDD Conference (KDD-09), 2009. Nominated for the Best Paper Award. (PDF)
       
  • Y. Chen, R. Huang, X. Zhao, and W. Zhang, Long Distance Mutual Exclusion for Planning, Artificial Intelligence, 173(2): 365-391, 2009. (PDF)
  • T. L. Tu and Y. Chen, Stream Data Clustering Based on Grid Density and Attraction, ACM Transactions on Knowledge Discovery from Data, 3(3):Article 12, 2009. (PDF)
         
      
  • R. Xi, N. Lin, and Y. Chen, Compression and Aggregation for Logistic Regression Analysis in Data Cubes, IEEE Transactions on Knowledge and Data Engineering, 21(4): 479-492, 2009. (PDF)    
  • Y. Chen, D. Hua, and F. Liu, Generalized Latent Class Analysis based on Model Dominance Theory, International Journal on Artificial Intelligence Tools, 18(5): 739-756, 2009. (PDF)
      
  • T. Schiller, Y. Chen, I. El Naqa, and J. Deasy, Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk, IEEE International Conference on Machine Learning and Applications (ICMLA-09), 2009. (PDF)
         
  • M. Chen and Y. Chen, Gradient-Based Feature Selection for Conditional Random Fields and Its Applications in Computational Genetics, IEEE International Conference on Tools for Artificial Intelligence (ICTAI-09), 2009. (PDF)
        
  • Y. Chen, Clustering Parallel Data Streams, Data Mining and Knowledge Discovery in Real Life Applications, I-Tech Education and Publishing, 2009. (PDF)
  • R. Xi, Y. Kim, L. Nan, and Y. Chen, Bayesian Analysis in Data Cubes, Technical report WUCSE-2009-81, Washington University, 2009. (PDF)  

2008 

  • 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)
  • Z. Yuan, R. Tan, G. Xing, C. Lu, Y. Chen, and J. Wang, Fast Sensor Deployment for Fusion-Based Target Detection, Proc. IEEE Real-Time Systems Symposium (RTSS-08), 2008. (PDF)
     
  • Y. Xu and Y. Chen, A Framework for Parallel Nonlinear Optimization by Partitioning Localized Constraints, Proc. International Symposium on Parallel Architectures, Algorithms and Programming (PAAP-08), 2008. (PDF)
     
  • B. Wah, Y. Chen, and T. Wang, Theory and Applications of Simulated Annealing for Nonlinear Constrained Optimization, Simulated Annealing, pp. 155-186, C. M. Tan, Ed., I-Tech Education and Publishing, 2008. (PDF)
             
  • Y. Chen, Faster Optimal State-Space Search with Graph Decomposition and Reduced Expansion, Technical Report WUCSE-2008-14, Washington University in St. Louis, Department of Computer Science and Engineering, 2008. (PDF)
     
  • Y. Chen, D. Hua, and F. Liu, Dominance of Bayesian Networks and Efficient Learning of Generalized Latent Class Models, Proc. International Conference on Tools with Artificial Intelligence (ICTAI-08), 2008. (PDF)
      
  • 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, and H. Sun, Convergence of Ant Colony Optimization on First-Order Deceptive Systems, IEEE International Conference on Granular Computing (GrC-08), 2008. (PDF)
     

2007 

  • 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)
  • 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. (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. (PS)              
  • 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)
        
  • 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)
       
  • 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)

2006                   

  • 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, 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)
     
  • 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, 2006. (PS)
         
         
  • 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)
  • 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)
      
  • 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)
       
  • 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)
            
  • 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. 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)
                         
                             

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)
                     
  • 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. 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.

  • 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.