· [ml/dm] C. Huo, D. He, Y. Li, D. Jin, J. Dang, W. Pedrycz, L. Wu, and W. Zhang, Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning, ACM Trans. Intell. Syst. Technol, 2025, 16(1):1-21.
· [medImg] H. Guo, Y. Xiao, S. Dong, J. Yang, P. Zhao, T. Zhao, A. Cai, L. Tang, J. Liu, H. Wang, R. Hua, R. Liu, Y. Wei, D. Sun, Z. Liu, M. Xia, Y. He, Y. Wu, T. Si, F. Womer, F. Xu, Y. Tang, J. Wang, W. Zhang, X. Zhang & F. Wang , Bridging animal models and humans: neuroimaging as intermediate phenotypes linking genetic or stress factors to anhedonia. BMC medicine, 2025, 23(1):38.
· [ml/dm] D. He, C. Liang, C. Huo, Z. Feng, D. Jin, L. Yang, and W. Zhang, Analyzing heterogeneous networks with missing attributes by unsupervised contrastive learning, IEEE Trans. Neural Networks and Learning Systems, 2024, 35(4):4438-50.
· [medImg] Y. Xiao, FY. Womer, S. Dong, R.Zhu, R. Zhang, J. Yang, L. Zhang, J. Liu, W. Zhang, Z. Liu, X. Zhang, F. Wang, A neuroimaging-based precision medicine framework for depression,Asian J Psychiatr, 91:103803, 2023.
· [ml/dm] X. Wei, C. Pan, X. Zhang, W. Zhang, Total network controllability analysis discovers explainable drugs for Covid-19 treatment, Biology Direct, 18(1):55, 2023.
· [ml/dm] X. Zhang, C. Pan, X. Wei, M. Yu, S. Liu, J. An, J. Yang, B. Wei, W. Hao, Y. Yao, Y. Zhu, and W. Zhang*, Cancer-keeper genes as therapeutic targets, iScience, 26(8):107296, 2023.
· [ml/dm] D. Jin, Z. Yu, P. Jiao, S. Pan, D. He, J. Wu, P. Yu, W. Zhang, A survey of community detection approaches: From statistical modeling to deep learning, IEEE Trans. on Knowledge and Data Engineering, 35(2):1149-90, 2023.
· [PCMM] S. He, S. Qiu, M.Pan, J. P Palavicini, H. Wang, X. Li, A. Bhattacharjee, S. Barannikov, K. F Bieniek, J. L Dupree and X. Han, Marked reduction of spinal cord lipids causes neurogenic bladder in late Alzheimer’s disease, Clin. Transl. Med., 2023 accepted.
· [PCMM] S. Qiu, S. He, J. Wang, H. Wang, A. Bhattacharjee, X. Li, M. Saeed, J. L. Dupree, X. Han, Adult-onset CNS sulfatide deficiency causes sex-dependent metabolic disruption in aging, Int J Mol Sci, 24(13), 2023.
· [PCMM] S. Qiu, J. P. Palavicini, X. Han, Myelin lipid deficiency: a new key driver of Alzheimer’s disease, Neural Regen Res, 18:121-122, 2023.
· [PCMM] Dustin, E., E. Suarez-Pozos, C. Stotesberry,S. Qiu, J. P. Palavicini, X. Han and J. L. Dupree, Compromised Myelin and Axonal Molecular Organization Following Adult-Onset Sulfatide Depletion, Biomedicines, 11(5), 2023.
· [ml/dm] D. He, C. Liang, C. Huo, Z. Feng, D. Jin, L. Yang, and W. Zhang, Analyzing heterogeneous networks with missing attributes by unsupervised contrastive learning, IEEE Trans. On Neural Networks and Learning Systems, IEEE Transactions on Neural Networks and Learning Systems, published online March 2022.
· [ncRNA] P. Xuan*, L. Zhan, H. Cui, T. Zhang, T. Nakaguchi, W. Zhang, Graph Triple-Attention Network for Disease-Related LncRNA Prediction, IEEE J Biomedical and Health Informatics, 26(6):2839-49, 2022.
· [PCMM] Palavicini, J. P., L. Ding, M. Pan, S. Qiu, H. Wang, Q. Shen, J. L. Dupree and X. Han, Sulfatide Deficiency, an Early Alzheimer’s Lipidomic Signature, Causes Brain Ventricular Enlargement in the Absence of Classical Neuropathological Hallmarks, Int J Mol Sci, 24(1), 2022.
· [genom] M. Chang, F. Womer, X. Gong, X. Chen, L. Tang, R. Feng, S. Dong, J. Duan, Y. Chen, R. Zhang, Y. Wang, S. Ren, Y. Wang, J. Kang, Z. Yin, Y. Wei, S. Wei, X. Jian, K. Xu, B. Cao, Y. Zhang, W. Zhang, Y. Tang, X. Zhang, F. Wang, Identifying and validating subtypes within major psychiatric disorders based on frontal-posterior functional imbalance via deep learning, Molecular Psychiatry, 26(7):2991-3002, 2021.
· [genom] L. Chen, J. Zhou, T. Li, Z. Fang, L. Li, G. Huang, L. Gao, X. Zhu, X. Zhou, H. Xiao, J. Zhang, Q. Xiong, J. Zhang, A. Ma, W. Zhai, W. Zhang, and H. Peng, GmoDetector: An accurate and efficient GMO identification approach and its application, Food Research Intern, 149:110662, 2021.
· [ncRNA] X. Liu, J. Frost, A. Bowcock, W. Zhang, Canonical and interior circular RNAs function as competing endogenous RNAs in psoriatic skin, Intern. J. Molecular Sciences, 22(10), 5182, 2021.
· [medImg] Z. Zhang, T. Zhao, H. Gay,W. Zhang* , B. Sun, Weaving attention U-net: A novel hybrid CNN and attention-based method for organs-at-risk segmentation in head and neck CT images, Medical Physics, 48(11):7052-62, 2021.
· [medImg] Z. Zhang, T. Zhao, H. Gay,W. Zhang, B. Sun, ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images, Medical Physics, 48(1):227-37, 2021.
· [medImg] Z. Zhang, T. Zhao, H. Gay, W. Zhang, B. Sun*, Semi-supervised semantic segmentation of prostate and organs-at-risk on 3D pelvic CT images Biomedical Physics Engineering Express. 7(6), 2021
· [ml/dm] D. Jin, X. Wang, D. He, J. Dang, W. Zhang, Robust detection of link communities with summary description in social networks, IEEE Transactions on Knowledge and Data Engineering, 33(6):2737-49, 2021.
· [PCMM] S. Qiu, J. P. Palavicini, J. Wang, N. S. Gonzalez, S. He, E. Dustin, C. Zou, L. Ding, A. Bhattacharjee, C. E. Van Skike, V. Galvan, J. L. Dupree, X. Han. Adult-onset CNS myelin sulfatide deficiency is sufficient to cause Alzheimer’s disease-like neuroinflammation and cognitive impairment. Mol Neurodegener 16:64, 2021.
· [genom] L. Li, H. Peng, S. Tan, J. Zhou, Z. Fang, Z. Hu, L. Gao, T. Li, W. Zhang, and L. Chen, Effects of early cold stress on gene expression in Chlamydomonas reinhardtii, Genomics, 112(2):1128-38, 2020.
· [ncRNA] X. Liu, Z. Hu, J. Zhou, C. Tian, G. Tian, M. He, L. Gao, L. Chen, T. Li, P. Peng, W. Zhang*, Interior circular RNA, RNA Biology, 17(1):87-97, 2020.
· [ml/dm] M. Li, D. Jin, D. He, and W. Zhang, Modeling with node popularities for autonomous overlapping community detection, ACM Transactions on Information Systems, 11(3):27, 2020.
· [medlmg] D. Lam, X. Zhang, H. Li, Y. Deshan, B. Schott, T. Zhao, W. Zhang, S. Mutic, and B. Sun*, Predicting gamma passing rates for portal dosimetry-based IMRT QA using machine learning, Medical Physics, 46(10):4666-75, 2019.
· [ml/dm] L. Yang, Y. Wang, J. Gu, X. Cao, X. Wang, D. Jin, G. Ding, J. Han, and W. Zhang, Autonomous semantic community detection via adaptively weighted low-rank approximation, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 15(3s), 2019.
· [PCMM] S. Qiu, T. Liu, C. Piao, Y. Wang, K. Wang, Y. Zhou, L. Cai, S. Zheng, F. Lan, J. Du. AMPKalpha2 knockout enhances tumour inflammation through exacerbated liver injury and energy deprivation-associated AMPKalpha1 activation. J Cell Mol Med, 23:1687-1697, 2019.
· [genom] L. Li, G. Tian, H. Peng, D. Meng, L. Wang, X. Hu, C. Tian, M. He, J. Zhou, L. Chen, C. Fu, W. Zhang* and Z. Hu, New class of transcription factors controls flagellar assembly by recruiting RNA polymerase II in Chlamydomonas, Proc of National Academy of Sciences of the USA (PNAS), 115(17):4435-4440, 2018.
· [ncRNA] Y. Zhong, P. Xuan, X. Wang, T. Zhang, J. Li, Y. Liu and W. Zhang, A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network, Bioinformatics, 34(2):267-77, 2018.
· [PCMM] W. Ren, Y. Liu, X. Wang, C. Piao, Y. Ma, S. Qiu, L. Jia, B. Chen, Y. Wang, W. Jiang, S. Zheng, C. Liu, N. Dai, F. Lan, H. Zhang, W. C. Song, J. Du. The Complement C3a-C3aR Axis Promotes Development of Thoracic Aortic Dissection via Regulation of MMP2 Expression. J Immunol, 200:1829-1838, 2018.
· [genom] L. Li, Z. Fang, J. Zhou, H. Chen, Z. Hu, L. Gao, L. Chen, S. Ren, H. Ma, L. Lu, W. Zhang* and H. Peng, An accurate and efficient method for large-scale SSR genotyping and applications, Nucleic Acids Research, 45(10):e88, 2017.
· [genom] T.P. Michael, D. Bryant, R. Gutierrez, N. Borisjuk, P. Chu, H. Zhang, J. Xia, J. Zhou, H. Peng, M.E. Baidouri, B. ten Hallers, AR. Hastie, T. Liang, K. Acosta, S. Gilbert, C. McEntee, SA. Jackson, TC. Mockler, W. Zhang and E. Lam, Comprehensive definition of genome features in Spirodela polyrhiza by high-depth physical mapping and short-read DNA sequencing strategies, The Plant Journal, 89(3):617-35, 2017.
· [ncRNA] J. Xia, L. Li, T. Li, Z. Fang, K. Zhang, J. Zhou, H. Peng, and W. Zhang, Detecting and characterizing microRNAs of diverse genomic origins via miRvial, Nucleic Acids Research, 45(21):e176, 2017.
· [ml/dm] X. Zhang, J. Han and W. Zhang, An efficient algorithm for finding all possible input nodes for controlling complex networks, Scientific Reports, 7(1):10677, 2017.
· [ml/dm] J. Fu, W. Zhang and J. Wu*, Identification of leader and self-organizing communities in complex networks, Scientific Reports, 7(1):704, 2017.
· [genom] D. Tiosano, L. Audi, S. Climer, W. Zhang, A.R. Templeton*, M. Fernandez-Cancio, R. Gershoni-Baruch, J.M. Sanchez-Muro, M.E. Kholy, Z. Hochberg, Latitudinal Clines of the human Vitamin D receptor and skin color-genes, Genes, Genomes, Genetics, 6(5):1251-66, 2016. (Based on the work receiving the Henning Anderson Price at the European Society for Paediatric Endocrinology 51st Annual Meeting)
· [genom] S. Climer, A. Templeton and W. Zhang, Human gephyrin is encompassed within giant functional noncoding yin-yang sequences, Nature Communications, 6:6534, 2015.
· [ncRNA] D. Nie, J. Xia, C. Jiang, B. Qi, X. Ling, S. Lin, W. Zhang, J. Guo, H. Jin and H. Zhao, Bacillus cereus AR156 primes induced systemic resistance by suppressing miR825/825* and activating defense related genes in Arabidopsis, J. Integrative Plant Biology, 58(4):426-39, 2015.
· [ml/dm] D. He, D. Jin, Z. Chen and W. Zhang*, Identification of hybrid node and link communities in complex networks, Scientific Reports, 5:8638, 2015.
· [PCMM] J. Wang, S. Qiu, S. Chen, C. Xiong, H. Liu, J. Wang, N. Zhang, J. Hou, Q. He, Z. Nie. MALDI-TOF MS imaging of metabolites with a N-(1-naphthyl) ethylenediamine dihydrochloride matrix and its application to colorectal cancer liver metastasis. Anal Chem, 87:422-430, 2015.
· [PCMM] S. Qiu, Z. Xiao, C. Piao, J. Zhang, Y. Dong, W. Cui, X. Liu, Y. Zhang, J. Du. AMPKalpha2 reduces renal epithelial transdifferentiation and inflammation after injury through interaction with CK2beta. J Pathol, 237:330-342, 2015.
· [PCMM] C. Piao, L. Cai, S. Qiu, L. Jia, W. Song, J. Du. Complement 5a Enhances Hepatic Metastases of Colon Cancer via Monocyte Chemoattractant Protein-1-mediated Inflammatory Cell Infiltration. J Biol Chem, 290:10667-10676, 2015.
· [genom] W. Wang, B. Feng, J. Xiao, Z. Xia, X. Zhou, P. Li, W. Zhang, et al., Cassava genome from a wild ancestor to cultivated varieties, Nature Communications, 5:5110, 2014.
· [genom] S. Climer, A. Templeton andW. Zhang* , Allele-specific network reveals combinatorial interactions that transcends small effects in psoriasis GWAS, PLOS Computational Biology, 10(9):e1003766, 2014.
· [ncRNA] J. Xia and W. Zhang, MicroRNAs in normal and psoriatic skin, Physiological Genomics, 46(4):113-22, 2014, invited review.
· [ncRNA] J. Xia and W. Zhang, A meta-analysis revealed insights into the sources, conservation and impact of microRNA 5’-isoforms in four model species, Nucleic Acids Research, 42(3):1427-41, 2014.
· [PCMM] S. Qiu, Z. C. Xiao, C. M. Piao, Y. L. Xian, L. X. Jia, Y. F. Qi, J. H. Han, Y. Y. Zhang, J. Du. AMP-activated protein kinase alpha2 protects against liver injury from metastasized tumors via reduced glucose deprivation-induced oxidative stress. J Biol Chem 289:9449-9459, 2014.
· [genom] 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.
· [ncRNA] J. Xia, C.E. Joyce, A.M. Bowcock andW. Zhang* , Noncanonical microRNAs and endogenous siRNAs in normal and psoriatic human skin, Human Molecular Genetics, 22(4):737-48, 2013.
· [AI] 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, 5(1):18, 2013.
· [ncRNA] X. Zhang, X. Jin, 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.
· [ncRNA] 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.
· [AI] R. Huang, Y. Chen and W. Zhang (2012) SAS+ planning as Satisfiability, J. Artificial Intelligence Research, 43:293-328, 2012 (the AAAI-2010 Outstanding Paper Award).
· [PCMM] M. Yang, J. Zheng, Y. Miao, Y. Wang, W. Cui, J. Guo, S. Qiu, Y. Han, L. Jia, H. Li, J. Cheng, J. Du. Serum-glucocorticoid regulated kinase 1 regulates alternatively activated macrophage polarization contributing to angiotensin II-induced inflammation and cardiac fibrosis. Arterioscler Thromb Vasc Biol 32, 1675-1686, 2012.
· [ncRNA] 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.
2010
· [ncRNA] W. Zhang, S. Guo, J. Xia, X. Zhou, P. Chellappan, X. Zhou, X. Zhang and H. Jin, Multiple distinct small RNAs originated from the same microRNA precursors, Genome Biology, 11:R81, 2010.
· [ncRNA] 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.
· [ncRNA] 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, 38(3):981- 95, 2010.
· [ncRNA] 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.
· [ncRNA] Y-F. Li, Y. Zheng, C. Addo-Quaye, L. Zhang, A. Saini, G. Jagadeeswaran, M. Axtell, W. Zhang, R. Sunkar, Transcriptome-wide identification of microRNA targets in rice, The Plant Journal, 62(5):742-59, 2010.
· [AI] G. Jaeger and W. Zhang, An efficient algorithm for and phase transitions of the directed Hamiltonian cycle problem, J. Artificial Intelligence Research, 39:663-87, 2010.
· [PCMM] X. Wu, J. Cheng, P. Li, M. Yang, S. Qiu, P. Liu, J. Du. Mechano-sensitive transcriptional factor Egr-1 regulates insulin-like growth factor-1 receptor expression and contributes to neointima formation in vein grafts. Arterioscler Thromb Vasc Biol 30:471-476, 2010.
· [genom] 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, 84:445-58, 2009.
· [genom] S. Climer, G. Jaegerg, A. Templeton and W. Zhang, How frugal is mother nature with haplotypes? Bioinformatics, 25(1):68-74, 2009.
· [ncRNA] 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.
· [ncRNA] 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.
· [AI] Y. Chen, R. Huang, Z. Xing and W. Zhang, Long-distance mutual exclusion for planning, Artificial Intelligence, 173:365-91, 2009.
· [PCMM] S. Qiu, J. Wang, C. Yu, D. He. CENP-K and CENP-H may form coiled-coils in the kinetochores.Sci China Life Sci 52:352-359, 2009.
· [genom] M. Ray J. Ruan and W. Zhang, Variations in the transcriptome of Alzheimer’s disease reveal molecular networks involved in cardiovascular diseases, Genome Biology, 9(10):R148, 2008.
· [ncRNA] Y. Xu, X. Zhou and W. Zhang, MicroRNA prediction with a novel ranking algorithm based on random walks, Bioinformatics, 24:i50-8, 2008.
· [genom] M. Ray, S. Dharmarajan, J. Freudenberg, W. Zhang* and G.A. Patterson, Use of gene expression profiling and machine learning to understand primary graft dysfunction, American J. of Transplantation, 7:2396-405, 2007.
· [genom] 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.
· [genom] 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-D882, 2007.
· [ncRNA] X. Zhou, G. Wang and W. Zhang, UV-B light responsive microRNA genes in Arabidopsis thaliana, Molecular Systems Biology, 3:103, 2007.
· [genom] G. Wang and W. Zhang, A steganalysis-based approach to comprehensive identification and characterization of functional regulatory elements, Genome Biology, 7(6):R49, 2006.
· [genom] J.Ruan and W. Zhang, A two-dimensional regression tree approach to the modeling of gene expression regulations, Bioinformatics, 22(3):332-40, 2006.
· [ml/dm] S. Climer and W. Zhang, Rearrangement clustering: Pitfalls, remedies and applications, J. Machine Learning Research, 7:919-43, 2006.
· [AI] S. Climer and W. Zhang, Cut-and-solve: A linear search strategy for combinatorial optimization problems, Artificial Intelligence, 170(8-9):714-38, 2006.
· [genom] 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.
· [genom] G. Wang, T. Yu and W. Zhang, WordSpy: Identify transcription factor biding motifsby building a dictionary and learning a grammar, Nucleic Acids Research, 33:W4126, 2005.
· [AI] R. Korf, W. Zhang, I. Thayer and H. Hohwald Frontier search, J. ACM, 52(5):71548, 2005.
· [AI] Z. Xing and W. Zhang, MaxSolver: An efficient exact algorithm for maximum satisfiability, Artificial Intelligence, 164(1-2):47-80, 2005.
· [AI] 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.
· [genom] 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.
· [genom] 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.
· [AI] W. Zhang, Configuration landscape analysis and backbone guided local search: Part I: satisfiability and maximum satisfiability, Artificial Intelligence, 158(1):1-26, 2004.
· [AI] A. K. Sen, A. Bagchi and W. Zhang, Average-case analysis of best-first search in directed acyclic graphs, Artificial Intelligence, 155(1-2):183-206, 2004.
· [AI] W. Zhang, Phase transitions and backbones of the asymmetric Traveling Salesman Problem, J. Artificial Intelligence Research, 20:471-97, 2004.
· [AI] W. Zhang, Iterative state-space reduction for flexible computation, Artificial Intelligence, 126(1-2):109-38, 2001.
· [AI] M. Tambe and W. Zhang, Towards flexible team work in persistent teams: Extended report, Autonomous Agents and Multi-Agent Systems, 3(2):159-83, 2000. (Best of ICMAS-98).
· [AI] 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.
· [AI] J. C. Pemberton and W. Zhang, Epsilon-transformation: Exploiting phase transitions to solve combinatorial optimization problems, Artificial Intelligence, 81(1-2):297-325, 1996.
· [AI] W. Zhang and R.E.Korf, Performance of linear-space search algorithms,Artificial Intelligence , 79(2):241-92, 1995.
· [AI] W. ZhangRepresentation of assembly and automatic robot planning by Petri net, IEEE Trans. on Systems, Man and Cybernetics, 19(2):418-22, 1989.