Xiang Zhang, PhD - Penn State Cancer Institute
Researcher Profile
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
Research Interests
- Genes
- Quantitative Trait Loci
- Single Nucleotide Polymorphism
- Genome
- Genome-Wide Association Study
- Genetic Markers
- Datasets
- Population
- Genotype
- Gene Expression
- Human Genome
- Brain
Recent Publications
2022
Luo, D, Ma, S, Yan, Y, Hu, C, Zhang, X & Huai, J 2022, 'A Collective Approach to Scholar Name Disambiguation', IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 5, pp. 2020-2032. https://doi.org/10.1109/TKDE.2020.3011674
Zhao, T, Zhang, X & Wang, S 2022, Exploring Edge Disentanglement for Node Classification. in WWW 2022 - Proceedings of the ACM Web Conference 2022. WWW 2022 - Proceedings of the ACM Web Conference 2022, Association for Computing Machinery, Inc, pp. 1028-1036, 31st ACM World Wide Web Conference, WWW 2022, Virtual, Online, France, 4/25/22. https://doi.org/10.1145/3485447.3511929
Luo, D, Bian, Y, Yan, Y, Yu, X, Huan, J, Liu, X & Zhang, X 2022, 'Random Walk on Multiple Networks', IEEE Transactions on Knowledge and Data Engineering, pp. 1-14. https://doi.org/10.1109/TKDE.2022.3221668
2021
Luo, D, Ma, S, Yan, Y, Hu, C, Zhang, X & Huai, J 2021, A collective approach to scholar name disambiguation (extended abstract). in Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021., 9458707, Proceedings - International Conference on Data Engineering, vol. 2021-April, IEEE Computer Society, pp. 2317-2318, 37th IEEE International Conference on Data Engineering, ICDE 2021, Virtual, Chania, Greece, 4/19/21. https://doi.org/10.1109/ICDE51399.2021.00244
Gu, Y, Sainburg, LE, Kuang, S, Han, F, Williams, JW, Liu, Y, Zhang, N, Zhang, X, Leopold, DA & Liu, X 2021, 'Brain Activity Fluctuations Propagate as Waves Traversing the Cortical Hierarchy', Cerebral Cortex, vol. 31, no. 9, pp. 3986-4005. https://doi.org/10.1093/cercor/bhab064
Xu, D, Cheng, W, Ni, J, Luo, D, Natsumeda, M, Song, D, Zong, B, Chen, H & Zhang, X 2021, Deep multi-instance contrastive learning with dual attention for anomaly precursor detection. in SIAM International Conference on Data Mining, SDM 2021. SIAM International Conference on Data Mining, SDM 2021, Siam Society, pp. 91-99, 2021 SIAM International Conference on Data Mining, SDM 2021, Virtual, Online, 4/29/21.
Zhao, T, Zhang, X & Wang, S 2021, GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. in WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining, Association for Computing Machinery, Inc, pp. 833-841, 14th ACM International Conference on Web Search and Data Mining, WSDM 2021, Virtual, Online, Israel, 3/8/21. https://doi.org/10.1145/3437963.3441720
Xu, D, Cheng, W, Luo, D, Chen, H & Zhang, X 2021, InfoGCL: Information-Aware Graph Contrastive Learning. in MA Ranzato, A Beygelzimer, Y Dauphin, PS Liang & J Wortman Vaughan (eds), Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Advances in Neural Information Processing Systems, vol. 36, Neural information processing systems foundation, pp. 30414-30425, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Virtual, Online, 12/6/21.
Luo, D, Cheng, W, Yu, W, Zong, B, Ni, J, Chen, H & Zhang, X 2021, Learning to Drop: Robust Graph Neural Network via Topological Denoising. in WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining, Association for Computing Machinery, Inc, pp. 779-787, 14th ACM International Conference on Web Search and Data Mining, WSDM 2021, Virtual, Online, Israel, 3/8/21. https://doi.org/10.1145/3437963.3441734
Xu, D, Cheng, W, Dong, X, Zong, B, Yu, W, Ni, J, Song, D, Zhang, X, Chen, H & Zhang, X 2021, Multi-Task Recurrent Modular Networks. in 35th AAAI Conference on Artificial Intelligence, AAAI 2021. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, vol. 12A, Association for the Advancement of Artificial Intelligence, pp. 10496-10504, 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual, Online, 2/2/21.
Xu, D, Liang, J, Cheng, W, Wei, H, Chen, H & Zhang, X 2021, Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. in 35th AAAI Conference on Artificial Intelligence, AAAI 2021. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, vol. 5B, Association for the Advancement of Artificial Intelligence, pp. 4546-4554, 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual, Online, 2/2/21.
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
Luo, D, Cheng, W, Xu, D, Yu, W, Zong, B, Chen, H & Zhang, X 2020, 'Parameterized explainer for graph neural network', Advances in Neural Information Processing Systems, vol. 2020-December.
Bian, Y, Huan, J, Dou, D & Zhang, X 2020, Rethinking local community detection: Query nodes replacement. in C Plant, H Wang, A Cuzzocrea, C Zaniolo & X Wu (eds), Proceedings - 20th IEEE International Conference on Data Mining, ICDM 2020., 9338410, Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2020-November, Institute of Electrical and Electronics Engineers Inc., pp. 930-935, 20th IEEE International Conference on Data Mining, ICDM 2020, Virtual, Sorrento, Italy, 11/17/20. https://doi.org/10.1109/ICDM50108.2020.00104
Zhao, T, Tang, X, Zhang, X & Wang, S 2020, Semi-Supervised Graph-to-Graph Translation. in CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery, pp. 1863-1872, 29th ACM International Conference on Information and Knowledge Management, CIKM 2020, Virtual, Online, Ireland, 10/19/20. https://doi.org/10.1145/3340531.3411977
Xu, D, Cheng, W, Zong, B, Song, D, Ni, J, Yu, W, Liu, Y, Chen, H & Zhang, X 2020, Tensorized LSTM with adaptive shared memory for learning trends in multivariate time series. in AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, AAAI press, pp. 1395-1402, 34th AAAI Conference on Artificial Intelligence, AAAI 2020, New York, United States, 2/7/20.
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