State-Space Search: Algorithms, Complexity, Extensions and Applications, Springer, 1999. ISBN 0-387-98832-7

Journal and conference publications: 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, selected before 2000

Edited volumes, Toturials

(drop me a message (email to zhang AT cse DOT wustl DOT edu) if you want a copy of a paper which is not available here.)

2009 and beyond

Computational biology/genomics - Small noncoding RNAs

• C. Zeng, W. Wang, Y. Zheng, X. Chen, X. Bo, S. Song, W. Zhang, M. Peng, Conservation and divergence of microRNAs and their functions in Euphorbiaceous plants, Nucleic Acids Research, in press.
  

• X. Zhou, R. Sunkar, H. Jin, J-K. Zhu and W. Zhang, Genome-wide identification and analysis of small RNAs originated from natural antisense transcripts in Oryza sativa, Genome Research, 19:70-8, 2009. 

• G. Jagadeeswaran, Y. Zheng, Y-f. Li, L.I. Shukla, J. Matts, P. Hoyt, S.L. Macmil, G.B. Wiley, B.A. Roe, W. Zhang, R. Sunkar, Cloning and characterization of small RNAs from Medicago truncatula reveals novel legume-specific and candidate microRNAs, New Phytologist, 184(1):85-98, 2009.

• A.M. Reddy, Y. Zheng, G. Jagadeeswaran, S.L. Macmil, G.B. Wiley, B.A. Roe, U. Desilva, W. Zhang and R. Sunkar, Cloning, characterization and expression analysis of porcine microRNAs, BMC Genomics, 10:65, 2009.   

• J.A. Webster, J.R. Cibbs, J. Clarke, M. Ray, W. Zhang, P. Holmans, K. Rohrer, A. Zhao, L. Marlowe, M. Kaleem, D.S. McCorquodale III, C. Cuello, D. Leung, L. Bryden, P. Nath, V.L. Zisman, K. Joshipura, M.J. Huentelman, D. H Lince, K.D. Coon, D.W. Craig, J.V. Pearson, C.B. Heward, E.M. Reiman, D. Stephan, J. Hardy, A.J. Myers, Genetic control of human brain transcript expression in Alzheimer's disease, American J. of Human Genetics, 84:445-458, 2009.

• J. Ruan, Y Deng, E.J. Perkins and W. Zhang, An ensemble learning approach to reverse-engineering transcriptional regulatory networks from time-series expression data, BMC Genomics, Suppl 1:S8, 2009.

• M. Ray and W. Zhang, Integrating genetic and phenotypic information to analyze Alzheimer's disease, J. of Alzheimer's Disease, 16(1):73-84, 2009. 

• S. Climer, G. Jaegerg, A. Templeton and W. Zhang, How frugal is mother nature with haplotypes? Bioinformatics, 25(1):68-74, 2009.

• G. Jaeger, S. Climer and W. Zhang. Complete parsimony haplotype inference problem and algorithms, Proc. 17th Annual European Symposium on Algorithms (ESA-09), Copenhagen, Sept, 7-9, 2009, to appear.

Search, planning and combinatorial optimization

• Y. Chen, R. Huang, Z. Xing and W. Zhang, Long-distance mutual exclusion for planning, Artificial Intelligence, 173:365-91, 2009.

• R. Huang, Y. Chen and W. Zhang, An optimal temporally expressive planner: Initial results and application to P2P network optimization, Proc. 19th Intern. Conf. on Automated Planning and Scheduling (ICAPS-09), Thessaloniki, Greece, Sept. 19-23, 2009, to appear.
  

2008

Computational biology/genomics - Small noncoding RNAs

• R. Sunkar, X. Zhou, Y. Zheng, W. Zhang and J-K. Zhu, Identification of novel and candidate miRNAs in rice by high throughput sequencing, BMC Plant Biology, 8:25, 2008.   

• Y. Xu, X. Zhou and W. Zhang, MicroRNA prediction with a novel ranking algorithm based on random walks, Bioinformatics 24:i50-i58, 2008, (Proc. 16th Annual Intern. Conf. on Intelligent Systems for Molecular Biology (ISMB-2008)).

• X. Zhou, G. Wang, K. Sutoh, J-K. Zhu and W. Zhang, Identification of cold inducible microRNAs in plants by transcriptome analysis, Biochim Biophys Acta, 1779(11):780-8, 2008. (special issue on microRNAs)  doi:10.1016/j.bbagrm.2008.04.005.

• M. Ray, J. Ruan and W. Zhang, Variations in the transcriptome of Alzheimer's disease reveal modular networks involved in cardiovascular diseases, Genome Biology, 9(10):R148, 2008.  

• J.E. McDunn, K. Husain, A.D. Polpitiya, A. Burykin, J. Ruan, Q. Li, W. Schierding, N. Lin, D. Dixon, W. Zhang, C.M. Coopersmith, W.M. Dunne, M. Colonna, B.K. Ghosh and J.P. Cobb, Plasticity of the systemic inflammatory reponse to acute infection during critical illness: Development of the riboleukogram, PLoS ONE, 3(2):e1564, 2008.

• J. Ruan and W. Zhang, Identifying network communities with a high resolution, Physical Review E, 77:016104, 2008.

Search, planning and combinatorial optimization

• Y. Chen, R. Huang and W. Zhang, Fast planning by search in domain transition graphs, Proc. 23rd AAAI Conference on Artificial Intelligence (AAAI-08), Chicago, IL, USA, July 13-17, 2008. 

• R. Huang, Y. Chen and W. Zhang, DTG-Plan: Fast planning by search in domain transition graphs, Proc. 6th International Planning Competition, International Conf. on Automated Planning and Scheduling, 2008. 

2007

• X. Zhou, J. Ruan, G. Wang and W. Zhang, Characterization and identification of microRNA core promoters in four model species, PLoS Computational Biology, 3(3):e37, 2007. . [Supplemental materials]

• X. Zhou, G. Wang and W. Zhang, UV-B light responsive microRNA genes in Arabidopsis thaliana, Molecular Systems Biology, 3:103, 2007.

• M. Ray, S. Dharmarajan, J. Freudenberg, W. Zhang and G.A. Patterson, Expression profiling of human donor lungs to understand primary graft dysfunction after lung transplantation, American J. of Transplantation, 7:2396-405, 2007. 

• H. Zeng, L. Luo, W. Zhang, J. Zhou, Z. Li, H. Liu, T. Zhu, X. Feng and Y. Zhong, PlantQTL-GE: A database for searching candidate genes by gene expression and QTL information, Nucleic Acids Research, 35:D879-82, 2007.

• X. Zhou and W. Zhang, Combinatory circuits of miRNAs and transcription factors for plant gene regulation, RECOMB Satellite Conference on Systems Biology, San Diego, Nov. 30 - Dec. 1, 2007. 

• J. Ruan and W. Zhang, An efficient spectral algorithm for network community discovery and its applications to biological and social networks, Proc. IEEE Intern. Conf. on Data Mining, ICDM-07, Omaha, NE, USA, Oct. 28-31, 2007.

• M. Ray, S. Dharmarajan, J. Freudenberg, G.A. Patterson and W. Zhang, Gene expression profiling and machine learning to understand and predict primary graft dysfunction, Proc. IEEE 7-th Intern. Conf. on BioInfornatics & BioEngineering, Boson, MA, Oct. 14-17, 2007.

• R. Souvenir, J. Buhler, G. Stormo and W. Zhang, An iterative method for selecting degenerate multiplex PCR primers, Methods in Molecular Biology, 402:245-68, 2007. [software]

• M. Ray, J. Freudenberg and W. Zhang, A comprehensive analysis of the effect of microarray data preprocessing methods on differentially expressed transcript selection, in Normalization Concepts for Microarray Technologies, Phillip Stafford (editor), Taylor and Francis Publications, 2007. 

Search, planning and combinatorial optimization

• Z. Xing, Y. Chen and W. Zhang, Long-distance mutual exclusions for propositional planning, Proc. 20th Intern. Joint Conf. on Artificial Intelligence (IJCAI-07), Hyderabad, India, Jan. 9-12, 2007. 

2006

Computational molecular biology, Machine Learning and Datamining

• G. Wang and W. Zhang, A steganalysis-based approach to comprehensive identification and characterization of functional regulatory elements, Genome Biology, 7(6):R49, 2006.  [software]   

• S. Climer and W. Zhang, Rearrangement clustering: Pitfalls, remedies and applications, J. Machine Learning Research, 7:919-43, 2006. [software] 

• J. Ruan and W. Zhang, A bi-dimensional regression tree approach to the modeling of gene expression regulation, Bioinformatics, 22(3):332-40, 2006.

• J. Ruan and W. Zhang, Identification and evaluation of weak community structures in networks, Proc. 21st National Conf. on Artificial Intelligence, (AAAI-06), Boston, Massachusetts, July 16-20, 2006, pp.470-5. 
  

• J. Ruan and W. Zhang, Identification and evaluation of functional modules in gene co-expression networks, RECOMB Satellite Conference on Systems Biology, San Diego, Dec. 1-3, 2006, (oral presentation).

• X. Zhou, G. Wang and W. Zhang, UV-B light responsive microRNA genes in Arabidopsis thaliana, RECOMB Satellite Conference on Systems Biology, San Diego, Dec. 1-3, 2006, (oral presentation).

Search, planning and combinatorial optimization

• S. Climer and W. Zhang, Cut-and-solve: A linear search strategy for combinatorial optimization problems, Artificial Intelligence, 170(8-9):714-38, 2006.  [software]  

• Z. Xing, Y. Chen and W. Zhang, An efficient hybrid strategy for temporal planning, Proc. 3rd Intern. Conf. on Integration of AI and OR Techniques for Constraint Programming for Combinatorial Optimization Problems (CP-AI-OR 2006), Cork, Ireland, May 30-June 2, 2006. 

• Z. Xing, Y. Chen and W. Zhang, Optimal STRIPS planning by maximum satisfiability and accumulative learning, Proc. Intern. Conf. on Automated Planning and Scheduling (ICAPS-06), Cumbia, UK, June 6-10, 2006, pp.442-7. 

• Z. Xing and Y. Chen and W. Zhang, MaxPlan: Optimal planning by decomposed satisfiability and backward reduction, Proc. 5th International Planning Competition, Intern. Conf. on Automated Planning and Scheduling (ICAPS-06), Cumbia, UK, June 6-10, 2006, pp.53-6. (First Place Award, Optimal Planning Track) 

2005

Computational molecular biology, Machine Learning and Datamining

• W. Zhang, J. Ruan, T-h. D. Ho, Y. You, T. Yu and R.S. Quatrano, Cis-regulatory element based targeted gene finding: Genome-wide identification of ABA- and abiotic stress-responsive genes in Arabidopsis thaliana, Bioinformatics, 21(14):3074-81, 2005. 

• G. Wang, T. Yu and W. Zhang, WordSpy: Identify transcription factor binding motifs by building a dictionary and learning a grammar, Nucleic Acids Research, 33:W412-6, 2005. [web server] 

• J. Ruan and W. Zhang, CAGER: Classification analysis of gene expression regulation using multiple information sources, BMC Bioinformatics, 6:114, 2005. 

• G. Wang and W. Zhang, Genome-wide identification of cis-regulatory elements: A steganalysis approach, Proc. of First Annual RECOMB Satellite Workshop on Systems Biology and the Second Annual RECOMB Satellite Workshop on Regulatory Genomics, San Diego, CA, Dec. 2-4, 2005. (Oral presentation. The final version appeared in Genome Biology in 2006.)

• X. Zhou, J. Ruan, G. Wang and W. Zhang, Characterization of the promoters of microRNA genes: A genome-scale analysis on C. elegans, A. thaliana and H. sapiens, Proc. of First Annual RECOMB Satellite Workshop on Systems Biology and the Second Annual RECOMB Satellite Workshop on Regulatory Genomics, San Diego, CA, Dec. 2-4, 2005. (Poster presentation. The final version will appear in PLoS Computational Biology.

Heuristic search and combinatorial optimization

• R. Korf, W. Zhang, I. Thayer and H. Hohwald, Frontier search, J. ACM, 52(5):715-48, 2005. 

• Z. Xing and W. Zhang, MaxSolver: An efficient exact algorithm for (weighted) maximum satisfiability, Artificial Intelligence, 164(1-2):47-80, 2005. [software] 

• W. Zhang, G. Wang, Z. Xing and L. Wittenberg, Distributed stochastic search and distributed breakout: Properties, comparison and applications to constraint optimization problems in sensor networks, Artificial Intelligence, 161(1-2):55-87, 2005. 

• W. Zhang and M. Looks A novel local search algorithm for the Traveling Salesman Problem that exploits backbones, Proc. 19th Intern. Joint Conf. on Artificial Intelligence (IJCAI-05). 

2004

Computational molecular biology and Machine Learning

• J. Ruan, G. Stormo and W. Zhang, ILM: A web server for predicting RNA secondary structures with pseudoknots, Nucleic Acids Research, 32:W146-9, 2004.  [web server] 

• J. Ruan, G. Stormo and W. Zhang, An iterated loop matching approach to the prediction of RNA secondary structures with pseudoknots, Bioinformatics, 20(1)58-66, 2004.  [softare and web server] 

• S. Climer and W. Zhang, Take a walk and cluster genes: A TSP-based approach to optimal rearrangement clustering, Proc. Intern. Conf. on Machine Learning (ICML-04), Alberta, Canada, July 4-8, 2004.  [software] 

• J. Buhler, R. Souvenir, W. Zhang and R. Mitra, Design of a high-throughput assay for alternative splicing using polymerase colonies, Proc. Pacific Symposium on Biocomputing (PSB-04), 9:5-16, 2004. 

  Heuristic search and combinatorial optimization

• W. Zhang, Configuartion landscape analysis and backbone guided local search: Part I: Satisfiability and maximum satisfiability, Artificial Intelligence, 158(1):1-26, 2004. 

• A. K. Sen, A. Bagchi and W. Zhang, Average case analysis of best-first search in two representative directed acyclic graphs, Artificial Intelligence, 155(1-2):183-206, 2004. 

• W. Zhang, Phase transitions and backbones of the asymmetric Traveling Salesman Problem, J. Artificial Intelligence Research, 20:471-97, 2004. 

• Z. Xing and W. Zhang, Efficient strategies for (weighted) maximum satisfiability, Proc. 10th Intern. Conf. on Principles and Practice of Constraint Programming (CP-04), Toronto, Canada, Sept. 27 - Oct. 1, 2004, pp.690-705.

• S. Climer and W. Zhang, A linear search strategy with bounds, Proc. 14th Intern. Conf. on Automated Planning and Scheduling (ICAPS-04), British Columbia, Canada, June 3-7, 2004.

• W. Zhang and X. Zhang, An improved integer local search for complex scheduling problems, Proc. 14th Intern. Conf. on Automated Planning and Scheduling (ICAPS-04), British Columbia, Canada, June 3-7, 2004.

2003

• R. Souvenir, J. Buhler, G. Stormo and W. Zhang, Selecting degenerate multiplex PCR primers, in Proc. Workshop on Algorithms in Bioinformatics (WABI-03), September 15-20, 2003, Budapest, Hungary.  [software] 

• W. Zhang, Phase transitions of the asymmetric Traveling Salesman, Proc. 18th Intern. Joint Conf. on AI (IJCAI-03), Acapulco, Mexico, Aug. 9-15, 2003, pages 1202-7. 

• W. Zhang, A. Rangan and M. Looks, Backbone guided local search for maximum satisfiability, Proc. 18th Intern. Joint Conf. on Artificial Intelligence (IJCAI-03), Acapulco, Mexico, Aug. 9-15, 2003, pages 1179-84.  [software] 

• W. Zhang, Z. Xing, G. Wang and L. Wittenburg, An analysis and application of distributed constraint satisfaction and optimization algorithms in sensor networks, Proc. 2nd Intern. Joint Conf. on Autonomous Agents & Multi Agent Systems (AAMAS-03), Melbourne, Australia, July 14-18, 2003, pages 185-92. 

• W. Zhang and L. Wittenburg, Distributed breakout algorithm for distributed constraint optimization problems - DBArelax, Proc. 2nd Intern. Joint Conf. on Autonomous Agents & Multi Agent Systems (AAMAS-03), Melbourne, Australia, July 14-18, 2003, (poster).

• G. Wang, W. Zhang, R. Mailler and V. Lesser, Analysis of negotiation protocols by distributed search, in Distributed Sensor Networks: A Multiagent Systems Approach, V. Lesser, C. Ortiz, and M. Tambe (eds.), Kluwer, 2003, pages 339-62.

• W. Zhang, G. Wang, Z. Xing and L. Wittenburg, A comparative study of distributed constraint algorithms with applications to problems in sensor networks, in Distributed Sensor Networks: A Multiagent Systems Approach, V. Lesser, C. Ortiz, and M. Tambe (eds.), Kluwer, 2003, pages 319-38.

2002

• D. S. Johnson, G. Gutin, L. A. McGeoch, A. Yeo, W. Zhang and A. Zverovich, Experimental analysis of heuristics for the ATSP, in The Traveling Salesman Problem and its Variations, G. Gutin and A. Punnen, Editors, Kluwer Academic Publishers, 2002, pp.445-88. 

• W. Zhang, Search techniques, to appear as Chapter 8 of Handbook of Data Mining and Knowledge Discovery, Oxford University Press, 2002.

• Z. Deng and W. Zhang, Localization and dynamic tracking using wireless-networked sensors and multi-agent technology: First steps, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E85-A(11) 2002 (invited paper).

• W. Zhang and L. Wittenburg, Distributed breakout revisited, in Proc. 18-th National Conf. on Artificial Intelligence (AAAI-2002), Edmonton, Canada, July 28-August 1, 2002, pp.352-7. 

• S. Climer and W. Zhang, Searching for backbones and fat: A limit-crossing approach with applications, in Proc. 18-th National Conf. on Artificial Intelligence (AAAI-2002), Edmonton, Canada, July 28-August 1, 2002, pp.707-12. 

• A. K. Sen, A. Bagchi and W. Zhang, An average-case analysis of graph search, in Proc. 18-th National Conf. on Artificial Intelligence (AAAI-2002), Edmonton, Canada, July 28-August 1, 2002, pp.757-62. 

• W. Zhang, Phase transitions, backbones, measurement accuracy, and phase aware approximations: The ATSP as a case study, Proc. 4th Intern. Workshop on Integration of AI and OR techniques in Constraint Programming for Combinatorial Optimization Problems (AI-OR-CP-02), 2002.

• W. Zhang, G. Wang and L. Wittenburg, Distributed stochastic search for constraint satisfaction and optimization: Parallelism, phase transitions and performance, in Proc. AAAI Workshop on Probabilistic Approaches in Search, Edmonton, Canada, July 28, 2002, pp.53-9. 

• W. Zhang and Z. Xing, Distributed breakout vs. distributed stochastic: A comparative evaluation on scan scheduling, in Proc. AAMAS-02 Third International Workshop on Distributed Constraint Reasoning, July 16, 2002, Bologna, Italy, pp.192-201. 

• W. Zhang, Z. Deng, G. Wang, L. Wittenburg and Z. Xing, Distributed problem solving in sensor networks, in Proc. 1st Intern. Joint Conf. on Autonomous Agents & Multi Agent Systems (AAMAS-02), July 15-19, Bologna, Italy, poster paper. 

2001

• W. Zhang, Iterative state-space reduction for flexible computation, Artificial Intelligence, 126(1-2):109-138, 2001. 

• W. Zhang, Phase transitions and backbones of 3-SAT and Maximum 3-SAT, Proc. 7th Intern. Conf. on Principles and Practice of Consstraint Programming (CP-2001), Paphos, Cyprus, Nov. 26 - Dec. 1, 2001. 

• J. Cirasella, D.S. Johnson, L. A. McGeoch and W. Zhang, The asymmetric Traveling Salesman Problem: Algorithms, instance generators, and tests, in Proc. of ALENEX 2001. 

2000

• M. Tambe and W. Zhang, Towards flexible teamwork in persistent teams: Extended report,  Autonomous Agents and Multi-Agent Systems, 3(2):159-83, 2000. (selected from the Best of ICMAS-98)

• R. E. Korf and W. Zhang, Divided-and-conquer frontier search applied to optimal sequence alignment, Proc. 17-th National Conf. on Artificial Intelligence (AAAI-2000), Austin, Texas, July 30-August 3, 2000, pp.910-6.

• W. Zhang, Depth-first branch-and-bound vs. local search: A case study, Proc. 17-th National Conf. on Artificial Intelligence (AAAI-2000), Austin, Texas, July 30-August 3, 2000, pp.930-5. 

• W. Zhang and R. Hill, A template-based and pattern-driven approach to situation awareness and assessment in virtual humans, Proc. of 4th Intern. Conf. on Autonomous Agents (Agents 2000), Barcelona, Catalonia, Spain, June 3-7, 2000. 

• W. Zhang and R. Hill, Situation awareness and assessment: Issues and computational approaches, Proc. 9th Conference on Computer Generated Forces and Behavioral Representation, May 16-18, 2000.

• W. Zhang, Association-based multiple imputation in multivariate datasets: A summary, Proc. 16-th Intern. Conf. on Data Engineering (ICDE-2000), San Diego, CA, Feb. 29-March 3, 2000.

selected papers before 2000

• W. Zhang and R.E. Korf, A study of complexity transitions on the asymmetric traveling salesman problem, Artificial Intelligence, 81(1-2):223-39, 1996.  

• J.C. Pemberton and W. Zhang, Epsilon-transformation: Exploiting Phase Transitions to solve combinatorial optimization problems, Artificial Intelligence, 81(1-2):297-325, 1996. 

• W. Zhang, A note on the complexity of the asymmetric Traveling Salesman Problem, Operations Research Letters, 20:31-8, 1997.

• W. Zhang and R.E. Korf, Performance of linear-space search algorithms, Artificial Intelligence, 79(2):241-92, 1995. 

• W. Zhang and R.E. Korf, Parallel Heap Operations on EREW PRAM, J. Parallel and Distributed Computing, 20(2):248-55, 1994.

• W. Zhang and N.S.V. Rao, Heuristic tree search with nonparametric statistical inference methods, J. Computer Mathematics, 39(1+2):133-52, 1991.

• S. Olariu, Z. Wen and W. Zhang, A faster optimal algorithm for the measure problem, Parallel Computing, 17, 1991, pp.683-7.

• W. Zhang, Representation of assembly and automatic robot planning by Petri net, IEEE Trans. on Systems, Man and Cybernetics, 19(2):418-22, 1989.

• W. Zhang, Flexible and approximate computation through state-space reduction, Proc. 14-th Annual Conference on Uncertainty in Artificial Intelligence (UAI-98), Madison, Wisconsin, July 24-26, 1998, pp.531-38.

• W. Zhang, Complete Anytime Beam Search, Proc. 15-th National Conf. on Artificial Intelligence (AAAI-98), Madison, Wisconsin, July 26-30, 1998, pp.425-30.

• W. Zhang, Forward estimation for game-tree search, Proc. 13-th National Conf. on Artificial Intelligence (AAAI-96), Portland, OR, 1996, pp.240-5

• W. Zhang and J. C. Pemberton, Epsilon-transformation: Exploiting complexity transitions to solve combinatorial optimization problems - Initial results, Proc. 12-th National Conf. on Artificial Intelligence (AAAI-94), Seattle, WA, July 31-Aug. 4, 1994, pp.895-900.

• W. Zhang and R.E. Korf, Depth-first vs. best-first search: New results, Proc. 11-th National Conf. on Artificial Intelligence (AAAI-93), Washington, DC, July 11-15, 1993, pp.769-75.

• W. Zhang, Truncated branch-and-bound: A case study on the asymmetric traveling salesman problem, Proc. of AAAI 1993 Spring Symposium on AI and NP-Hard Problems, Stanford, CA, March 23-25, 1993, pp.160-6. [ps file]

• W. Zhang and R.E. Korf, An average-case analysis of branch-and-bound with applications: Summary of results, Proc. 10-th National Conf. on Artificial Intelligence (AAAI-92), San Jose, CA, July 12-17, 1992, pp.545-50.

Edited volumes

• Weixiong Zhang and Volker Sorge, Distributed Constraint Problem Solving and Reasoning in Multi-agent Systems, editers, IOS Press, 2004.

• Weixiong Zhang, Rina Dechter and Richard E. Korf, Artificial Intelligence, vol. 129, no 1-2, special issue on Heuristic Search; Editorial: Heuristic search in artificial intelligence
  

• Weixiong Zhang and Sven Koenig, Search Techniques for Problem Solving Under Uncertainty and Incomplete Information, Papers from 1999 AAAI Spring Symposium. ISBN 1-57735-106-1

Tutorials

• Weixiong Zhang, Computational biology: Perspective and approaches based on feature extraction and selection, National Conference on Artificial Intelligence (AAAI-06).

• Weixiong Zhang and Sharlee Climer, Techniques for computing and using bounds for combinatorial optimization problems, 19th International Joint Conference on Artificial Intelligence (IJCAI-05).

• Weixiong  Zhang and Sharlee Climer, Systematic bounding techniques for combinatorial optimization, 12th National Conf. on Artificial Intelligence (AAAI-05).

• Carla Gomes, Tad Hogg, Toby Walsh and Weixiong Zhang, Phase Transitions and Structure in Combinatorial Problems, 17th International Joint Conference on Artificial Intelligence (IJCAI-01).