Researcher Profile

Researcher Profile

Xiang Zhang, PhD

Xiang Zhang, PhD

Associate Professor of IST, College of Information Sciences and Technology
Scientific Program:Cancer Control
Disease Teams:
Institute for CyberScience (ICS) - Co-hire
xzz89@psu.edu

Research Interests

  • Genes
  • Quantitative Trait Loci
  • Single Nucleotide Polymorphism
  • Genome
  • Genome-Wide Association Study
  • Genetic Markers
  • Population
  • Genotype
  • Research
  • Human Genome
  • Phenotype
  • Gene Expression

Recent Publications

2018

Ni, J, Cheng, W, Fan, W & Zhang, X 2018, 'ComClus: A self-grouping framework for multi-network clustering', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 3, pp. 435-448. https://doi.org/10.1109/TKDE.2017.2771762
Yao, Y, Tong, H, Yan, G, Xu, F, Zhang, X, Szymanski, BK & Lu, J 2019, 'Dual-regularized one-class collaborative filtering with implicit feedback' World Wide Web, vol. 22, no. 3, pp. 1099-1129. https://doi.org/10.1007/s11280-018-0574-1
Li, X, Cui, L, Tao, S, Chen, J, Zhang, X & Zhang, GQ 2018, 'HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring', IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 2, pp. 375-385. https://doi.org/10.1109/JBHI.2017.2668993
Yan, Y, Luo, D, Ni, J, Fei, H, Fan, W, Yu, X, Yen, J & Zhang, X 2018, Local graph clustering by multi-network random walk with restart. in GI Webb, D Phung, M Ganji, L Rashidi, VS Tseng & B Ho (eds), Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10939 LNAI, Springer Verlag, pp. 490-501, 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, Melbourne, Australia, 6/3/18. https://doi.org/10.1007/978-3-319-93040-4_39
Bian, Y, Yan, Y, Cheng, W, Wang, W, Luo, D & Zhang, X 2018, On Multi-query Local Community Detection. in 2018 IEEE International Conference on Data Mining, ICDM 2018., 8594825, Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2018-November, Institute of Electrical and Electronics Engineers Inc., pp. 9-18, 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, Singapore, 11/17/18. https://doi.org/10.1109/ICDM.2018.00016
Wu, Y, Zhang, X, Bian, Y, Cai, Z, Lian, X, Liao, X & Zhao, F 2018, 'Second-order random walk-based proximity measures in graph analysis: formulations and algorithms', VLDB Journal, vol. 27, no. 1, pp. 127-152. https://doi.org/10.1007/s00778-017-0490-5
Bian, Y, Ni, J, Cheng, W & Zhang, X 2018, 'The multi-walker chain and its application in local community detection' Knowledge and Information Systems. https://doi.org/10.1007/s10115-018-1247-1

2017

Ni, J, Fei, H, Fan, W & Zhang, X 2017, Automated medical diagnosis by ranking clusters across the symptom-disease network. in G Karypis, S Alu, V Raghavan, X Wu & L Miele (eds), Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1009-1014, 17th IEEE International Conference on Data Mining, ICDM 2017, New Orleans, United States, 11/18/17. https://doi.org/10.1109/ICDM.2017.130
Ni, J, Fei, H, Fan, W & Zhang, X 2017, Cross-network clustering and cluster ranking for medical diagnosis. in Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017., 7929961, Proceedings - International Conference on Data Engineering, IEEE Computer Society, pp. 163-166, 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, United States, 4/19/17. https://doi.org/10.1109/ICDE.2017.65
Wang, H, Choi, Y, Tayo, B, Wang, X, Morris, N, Zhang, X, Broeckel, U, Hanis, C, Kardia, S, Redline, S, Cooper, RS, Tang, H & Zhu, X 2017, 'Genome-wide survey in African Americans demonstrates potential epistasis of fitness in the human genome', Genetic Epidemiology, vol. 41, no. 2, pp. 122-135. https://doi.org/10.1002/gepi.22026
Li, X, Redline, S, Zhang, X, Williams, S & Zhu, X 2017, 'Height associated variants demonstrate assortative mating in human populations', Scientific reports, vol. 7, no. 1, 15689. https://doi.org/10.1038/s41598-017-15864-x
Bian, Y, Ni, J, Cheng, W & Zhang, X 2017, Many heads are better than one: Local community detection by the multi-walker chain. in G Karypis, S Alu, V Raghavan, X Wu & L Miele (eds), Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 21-30, 17th IEEE International Conference on Data Mining, ICDM 2017, New Orleans, United States, 11/18/17. https://doi.org/10.1109/ICDM.2017.11
Ni, J, Cheng, W, Zhang, K, Song, D, Yan, T, Chen, H & Zhang, X 2017, Ranking causal anomalies by modeling local propagations on networked systems. in G Karypis, S Alu, V Raghavan, X Wu & L Miele (eds), Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1003-1008, 17th IEEE International Conference on Data Mining, ICDM 2017, New Orleans, United States, 11/18/17. https://doi.org/10.1109/ICDM.2017.129
Cheng, W, Ni, J, Zhang, K, Chen, H, Jiang, G, Shi, Y, Zhang, X & Wang, W 2017, 'Ranking causal anomalies for system fault diagnosis via temporal and dynamical analysis on vanishing correlations', ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 4, 3046946. https://doi.org/10.1145/3046946
Ni, J, Cheng, W, Fan, W & Zhang, X 2017, Self-grouping multi-network clustering. in F Bonchi, X Wu, R Baeza-Yates, J Domingo-Ferrer & Z-H Zhou (eds), Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016., 7837959, Proceedings - IEEE International Conference on Data Mining, ICDM, Institute of Electrical and Electronics Engineers Inc., pp. 1119-1124, 16th IEEE International Conference on Data Mining, ICDM 2016, Barcelona, Catalonia, Spain, 12/12/16. https://doi.org/10.1109/ICDM.2016.10

2016

Cheng, W, Guo, Z, Zhang, X & Wang, W 2016, 'CGC: A flexible and robust approach to integrating co-regularized multi-domain graph for clustering', ACM Transactions on Knowledge Discovery from Data, vol. 10, no. 4, 46. https://doi.org/10.1145/2903147
Ni, J, Koyuturk, M, Tong, H, Haines, J, Xu, R & Zhang, X 2016, 'Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model', BMC bioinformatics, vol. 17, no. 1, 453. https://doi.org/10.1186/s12859-016-1317-x
Wu, Y, Jin, R & Zhang, X 2016, 'Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 5, 7374732, pp. 1160-1174. https://doi.org/10.1109/TKDE.2016.2515579
Li, Y, Zhao, Y, Wang, G, Zhu, X, Zhang, X, Wang, Z & Pang, J 2017, 'Finding susceptible and protective interaction patterns in large-scale genetic association study' Frontiers of Computer Science, vol. 11, no. 3, pp. 541-554. https://doi.org/10.1007/s11704-016-5300-5
Cheng, W, Zhang, X, Pan, F & Wang, W 2016, 'HICC: an entropy splitting-based framework for hierarchical co-clustering', Knowledge and Information Systems, vol. 46, no. 2, pp. 343-367. https://doi.org/10.1007/s10115-015-0823-x
Wu, Y, Zhu, X, Li, L, Fan, W, Jin, R & Zhang, X 2016, 'Mining dual networks: Models, algorithms, and applications', ACM Transactions on Knowledge Discovery from Data, vol. 10, no. 4, 40. https://doi.org/10.1145/2785970
Wu, Y, Bian, Y & Zhang, X 2016, 'Remember where you came from: On the second-order random walk based proximity measures', Proceedings of the VLDB Endowment, vol. 10, no. 1, pp. 13-24. https://doi.org/10.14778/3015270.3015272
Cheng, W, Zhang, X & Wang, W 2016, Robust methods for expression quantitative trait loci mapping. in Big Data Analytics in Genomics. Springer International Publishing, pp. 25-88. https://doi.org/10.1007/978-3-319-41279-5_2
Liu, R, Cheng, W, Tong, H, Wang, W & Zhang, X 2016, Robust multi-network clustering via joint cross-domain cluster alignment. in Z-H Zhou, C Aggarwal, H Xiong, A Tuzhilin & X Wu (eds), Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015., 7373333, Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2016-January, Institute of Electrical and Electronics Engineers Inc., pp. 291-300, 15th IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, United States, 11/14/15. https://doi.org/10.1109/ICDM.2015.13
Cheng, W, Shi, Y, Zhang, X & Wang, W 2016, 'Sparse regression models for unraveling group and individual associations in eQTL mapping' BMC Bioinformatics, vol. 17, no. 1, 136. https://doi.org/10.1186/s12859-016-0986-9

2015

Chen, Y, Zhang, X, Zhang, GQ & Xu, R 2015, 'Comparative analysis of a novel disease phenotype network based on clinical manifestations', Journal of Biomedical Informatics, vol. 53, pp. 113-120. https://doi.org/10.1016/j.jbi.2014.09.007
Cheng, W, Shi, Y, Zhang, X & Wang, W 2015, 'Fast and robust group-wise eQTL mapping using sparse graphical models' BMC bioinformatics, vol. 16, no. 1, 2. https://doi.org/10.1186/s12859-014-0421-z
Wu, Y, Jin, R, Zhu, X & Zhang, X 2015, Finding dense and connected subgraphs in dual networks. in 2015 IEEE 31st International Conference on Data Engineering, ICDE 2015., 7113344, Proceedings - International Conference on Data Engineering, vol. 2015-May, IEEE Computer Society, pp. 915-926, 2015 31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, Korea, Republic of, 4/13/15. https://doi.org/10.1109/ICDE.2015.7113344
Ni, J, Tong, H, Fan, W & Zhang, X 2015, Flexible and robust multi-network clustering. in KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. vol. 2015-August, Association for Computing Machinery, pp. 835-844, 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2015, Sydney, Australia, 8/10/15. https://doi.org/10.1145/2783258.2783262
Wu, Y, Jin, R, Li, J & Zhang, X 2015, 'Robust local community detection: On free rider effect and its elimination', Proceedings of the VLDB Endowment, vol. 8, no. 7 7, pp. 798-809. https://doi.org/10.14778/2752939.2752948

Clinical Trials Search


Children (age < 18 years)
Adults (age >= 18 years)