J. Xia, C.E. Joyce, A.M. Bowcock* and W. Zhang*, Noncanonical microRNAs and
endogenous siRNAs in normal and psoriatic human skin,
Human Molecular Genetics,
22(4):737-48, 2013. 
State-Space Search: Algorithms, Complexity, Extensions and Applications, Springer, 1999. ISBN 0-387-98832-7
Journal and conference publications: 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, selected before 2000
Edited volumes, Toturialshttp://www.biomedcentral.com/1471-2105/13/49
(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.)
Small noncoding RNAs
J. Xia, C.E. Joyce, A.M. Bowcock* and W. Zhang*, Noncanonical microRNAs and
endogenous siRNAs in normal and psoriatic human skin,
Human Molecular Genetics,
22(4):737-48, 2013.
Transcriptome analysis and
Machine learning/Datamining related
Z. Chen and W. Zhang*, Integrative analysis using
module-guided Random Forests reveals correlated genetic
factors related to mouse weight, PLOS Computational
Biology, 9(3):e1002956, 2013.
Small noncoding RNAs
X. Zhang, J. Xia, Y. Lii, B.E. Barrera-Figueroa, X. Zhou, S.
Gao, L. Lu, D. Nie, Z. Chen, C. Leung, T. Wong, H. Zhang, J.
Guo, Y. Li, R. Liu, W. Liang, J-K. Zhu, W. Zhang*, H. Jin*, Genome-wide analysis of plant
nat-siRNAs reveals insights into their distribution,
biogenesis and function, Genome Biology, 13:R20, 2012. 
Y. Zheng, Y-F. Li, R. Sunkar and W. Zhang, SeqTar: An effective method for
identifying microRNA guided cleavage sites from degradome of
polyadenylated transcripts in plants, Nucleic Acids Research,
40(4):e28, 2012.
J.K.Greenberg, J. Xia, X. Zhou, S.R. Thatcher, X. Gu, S.A.
Ament, T.C. Newman, P.J. Green, W. Zhang, G.E. Robinson and Y.
Ben-Shahar*, Behavioral
plasticity in honey bees is associated with major
differences in brain microRNA transcriptome. Genes, Brain and Behavior,
11(6):660-70, 2012.
W. Zhang*, X. Zhou, J. Xia and X. Zhou, Identification of microRNAs and natural antisense transcript-originated endogenous siRNAs from small-RNA deep sequencing data, in Methods in Molecular Biology, 883:221-7, 2012.
Machine learning and data mining related
Y. Gan, J. Guan*, S. Zhou and W. Zhang*, Structural features based
genome-wide characterization and prediction of nucleosome
organization, BMC
Bioinformatics, 13:49, 2012. 
Search, planning and combinatorial optimization
Q. Lu, R. Huang, Y. Chen, Y. Xu, W. Zhang, G. Sun and G.
Chen, A SAT-based approach
to cost sensitive temporally expressive planning, ACM Transactions on Intelligent
Systems and Technology, in press.
Small noncoding RNAs
C.E. Joyce, X. Zhou, J. Xia, C. Ryan, B. Thrash, A. Menter,
W. Zhang* and A.M. Bowcock*, Deep
sequencing of small RNAs from human skin reveals major
alterations in the psoriasis miRNAome, Human Molecular Genetics,
20(20):4025-40, 2011.
Small noncoding RNAs
W. Zhang*, S.
Guo, J. Xia, X. Zhou, P. Chellappan, X. Zhou, X. Zhang and H.
Jin*, Multiple distinct
small RNAs originate from the same microRNA precursors,
Genome Biology, 11:R81, 2010.
T.A. Reese, J. Xia, L.S. Johnson, X. Zhou, W. Zhang* and H.W.
Virgin*, Identification of
novel microRNA-like molecules generated from herpesvirus and
host tRNA transcripts, J. Virology, 84(19):10344-53, 2010.
P. Chellappan, J. Xia, X. Zhou, S. Gao, X. Zhang, G. Coutino,
F. Vazquez, W. Zhang* and H. Jin*, siRNAs
from miRNA sites mediate DNA methylation of target genes,
Nucleic Acids Research,
38(20):6883-94, 2010.
C. Zeng, W. Wang, Y. Zheng, X. Chen, X. Bo, S. Song, W.
Zhang* and M. Peng*, Conservation
and divergence of microRNAs and their functions in
Euphorbiaceous plants, Nucleic Acids Research, 38(3):981-95, 2010.
Y-F. Li, Y. Zheng, C. Addo-Quaye, L. Zhang, A. Saini, G.
Jagadeeswaran, M. Axtell, W. Zhang and R. Sunkar*, Transcriptome-wide identification
of microRNA targets in rice, The Plant Journal, 62(5):742-59, 2010.
G. Jagadeeswaran, Y. Zheng, N. Sumathipala, H. Jiang, E.
Arese, J.L. Soulages, W. Zhang and R. Sunkar*, Deep sequencing of small RNA
libraries reveals dynamic regulation of conserved and novel
microRNAs and microRNA-stars during silkworm development, BMC Genomics, 11:52, 2010.
Transcriptome analysis
M. Ray and W.
Zhang*, Analysis of
Alzheimer's disease severity across brain regions by
topological analysis of gene co-expression networks,
BMC Systems Biology, 4:136, 2010.
J. Ruan*, A.K.
Dean and W. Zhang*, A
general co-expression network-based approach to gene
expression analysis: Comparison and applications, BMC
Systems Biology, 4:8,
2010.
Haplotype inferencing
S. Climer, A. Templeton and W. Zhang, SplittingHeirs: Inferring
haplotypes by optimizing resultant dense graphs, ACM Intern. Conf. on
Bioinformatics and Computational Biology, Aug. 2-4,
2010, Niagara Falls, NY, USA, accepted as a full paper.
Search, planning and combinatorial optimization
(source code)
Computational biology/genomics - Small noncoding RNAs
X. Zhou, R. Sunkar, H. Jin, J-K. Zhu and W. Zhang*, Genome-wide identification and
analysis of small RNAs originate 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.
Computational biology/genomics - Transcriptome analysis
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.
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.
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.
Computational biology/genomics - Haplotype inferencing
S. Climer, G. Jaeger, 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.
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.
Computational biology/genomics - Small noncoding RNAs
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)).
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.
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.
Computational biology/genomics - Transcriptome analysis
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.
Computational molecular biology, Machine Learning and Datamining
X. Zhou, G. Wang and W. Zhang*, UV-B light responsive microRNA genes in Arabidopsis thaliana, Molecular Systems Biology,
3:103, 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]
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.
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)
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).
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.
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.
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.
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.
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.
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.
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, 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).