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
  • Datasets
  • Population
  • Genotype
  • Gene Expression
  • Human Genome
  • Multifactorial Inheritance

Recent Publications

2020

Luo, D, Ni, J, Wang, S, Bian, Y, Yu, X & Zhang, X 2020, Deep multi-graph clustering via attentive cross-graph association. in WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining. WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining, Association for Computing Machinery, Inc, pp. 393-401, 13th ACM International Conference on Web Search and Data Mining, WSDM 2020, Houston, United States, 2/3/20. https://doi.org/10.1145/3336191.3371806
Wang, H, Sofer, T, Zhang, X, Elston, RC, Redline, S & Zhu, X 2020, 'Local Ancestry Inference in Large Pedigrees', Scientific reports, vol. 10, no. 1, 189. https://doi.org/10.1038/s41598-019-57039-w
Luo, D, Bian, Y, Yan, Y, Liu, X, Huan, J & Zhang, X 2020, Local Community Detection in Multiple Networks. in KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, pp. 266-274, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, Virtual, Online, United States, 8/23/20. https://doi.org/10.1145/3394486.3403069
Han, F, Gu, Y, Brown, GL, Zhang, X & Liu, X 2020, 'Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics', NeuroImage, vol. 215, 116853. https://doi.org/10.1016/j.neuroimage.2020.116853

2019

Xu, D, Cheng, W, Luo, D, Gu, Y, Liu, X, Ni, J, Zong, B, Chen, H & Zhang, X 2019, Adaptive neural network for node classification in dynamic networks. in J Wang, K Shim & X Wu (eds), Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019., 8970854, Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2019-November, Institute of Electrical and Electronics Engineers Inc., pp. 1402-1407, 19th IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, 11/8/19. https://doi.org/10.1109/ICDM.2019.00181
Yan, Y, Bian, Y, Luo, D, Lee, D & Zhang, X 2019, Constrained local graph clustering by colored random walk. in The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, Association for Computing Machinery, Inc, pp. 2137-2146, 2019 World Wide Web Conference, WWW 2019, San Francisco, United States, 5/13/19. https://doi.org/10.1145/3308558.3313719
Bian, Y, Luo, D, Yan, Y, Cheng, W, Wang, W & Zhang, X 2020, 'Correction to: Memory-based random walk for multi-query local community detection (Knowledge and Information Systems, (2020), 62, 5, (2067-2101), 10.1007/s10115-019-01398-3)', Knowledge and Information Systems, vol. 62, no. 5, pp. 2103-2104. https://doi.org/10.1007/s10115-019-01414-6
Xu, D, Cheng, W, Zong, B, Ni, J, Song, D, Yu, W, Chen, Y, Chen, H & Zhang, X 2019, Deep co-clustering. in SIAM International Conference on Data Mining, SDM 2019. SIAM International Conference on Data Mining, SDM 2019, Society for Industrial and Applied Mathematics Publications, pp. 414-422, 19th SIAM International Conference on Data Mining, SDM 2019, Calgary, Canada, 5/2/19. https://doi.org/10.1137/1.9781611975673.47
Bian, Y, Luo, D, Yan, Y, Cheng, W, Wang, W & Zhang, X 2020, 'Memory-based random walk for multi-query local community detection', Knowledge and Information Systems, vol. 62, no. 5, pp. 2067-2101. https://doi.org/10.1007/s10115-019-01398-3
Bian, J, Wang, W, Zhang, X, Weng, W, Huang, A & Guo, Z 2019, On Generating Dominators of Customer Preferences. in C Baru, J Huan, L Khan, XT Hu, R Ak, Y Tian, R Barga, C Zaniolo, K Lee & YF Ye (eds), Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019., 9006194, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019, Institute of Electrical and Electronics Engineers Inc., pp. 2177-2186, 2019 IEEE International Conference on Big Data, Big Data 2019, Los Angeles, United States, 12/9/19. https://doi.org/10.1109/BigData47090.2019.9006194
Xu, D, Cheng, W, Luo, D, Liu, X & Zhang, X 2019, Spatio-temporal attentive RNN for node classification in temporal attributed graphs. in S Kraus (ed.), Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. IJCAI International Joint Conference on Artificial Intelligence, vol. 2019-August, International Joint Conferences on Artificial Intelligence, pp. 3947-3953, 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, 8/10/19. https://doi.org/10.24963/ijcai.2019/548

2018

Ni, J, Chang, S, Liu, X, Cheng, W, Chen, H, Xu, D & Zhang, X 2018, Co-regularized deep multi-network embedding. in The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018. The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018, Association for Computing Machinery, Inc, pp. 469-478, 27th International World Wide Web, WWW 2018, Lyon, France, 4/23/18. https://doi.org/10.1145/3178876.3186113
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 2019, 'The multi-walker chain and its application in local community detection', Knowledge and Information Systems, vol. 60, no. 3, pp. 1663-1691. 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

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