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
2024
Zhao, T, Zhang, X & Wang, S 2024, Disambiguated Node Classification with Graph Neural Networks. in WWW 2024 - Proceedings of the ACM Web Conference. WWW 2024 - Proceedings of the ACM Web Conference, Association for Computing Machinery, Inc, pp. 914-923, 33rd ACM Web Conference, WWW 2024, Singapore, Singapore, 5/13/24. https://doi.org/10.1145/3589334.3645637
Zhao, T, Yu, W, Wang, S, Wang, L, Zhang, X, Chen, Y, Liu, Y, Cheng, W & Chen, H 2024, Interpretable Imitation Learning with Dynamic Causal Relations. in WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining. WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining, Association for Computing Machinery, Inc, pp. 967-975, 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, 3/4/24. https://doi.org/10.1145/3616855.3635827
Luo, D, Zhao, T, Cheng, W, Xu, D, Han, F, Yu, W, Liu, X, Chen, H & Zhang, X 2024, 'Towards Inductive and Efficient Explanations for Graph Neural Networks', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 8, pp. 5245-5259. https://doi.org/10.1109/TPAMI.2024.3362584
2023
Lin, M, Xiao, T, Dai, E, Zhang, X & Wang, S 2023, 'Certifiably Robust Graph Contrastive Learning', Advances in Neural Information Processing Systems, vol. 36.
Zhao, T, Luo, D, Zhang, X & Wang, S 2023, 'Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment', ACM Transactions on Intelligent Systems and Technology, vol. 14, no. 5, 92. https://doi.org/10.1145/3616542
Wang, T, Mirzazadeh, F, Zhang, X & Chen, J 2023, 'GC-Flow: A Graph-Based Flow Network for Effective Clustering', Proceedings of Machine Learning Research, vol. 202, pp. 36157-36173.
Zhao, T, Yu, W, Wang, S, Wang, L, Zhang, X, Chen, Y, Liu, Y, Cheng, W & Chen, H 2023, Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. in KDD 2023 - Proceedings of the 29th ACM SIGKDD 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. 3513-3524, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, United States, 8/6/23. https://doi.org/10.1145/3580305.3599506
Luo, D, Cheng, W, Wang, Y, Xu, D, Ni, J, Yu, W, Zhang, X, Liu, Y, Chen, Y, Chen, H & Zhang, X 2023, Time Series Contrastive Learning with Information-Aware Augmentations. in B Williams, Y Chen & J Neville (eds), AAAI-23 Technical Tracks 4. Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, vol. 37, AAAI press, pp. 4534-4542, 37th AAAI Conference on Artificial Intelligence, AAAI 2023, Washington, United States, 2/7/23.
Zhao, T, Luo, D, Zhang, X & Wang, S 2023, Towards Faithful and Consistent Explanations for Graph Neural Networks. in WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining. WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining, Association for Computing Machinery, Inc, pp. 634-642, 16th ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, Singapore, 2/27/23. https://doi.org/10.1145/3539597.3570421
Dai, E, Lin, M, Zhang, X & Wang, S 2023, Unnoticeable Backdoor Attacks on Graph Neural Networks. in ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, Association for Computing Machinery, Inc, pp. 2263-2273, 2023 World Wide Web Conference, WWW 2023, Austin, United States, 4/30/23. https://doi.org/10.1145/3543507.3583392
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
Yin, Y, Wang, Q, Huang, S, Xiong, H & Zhang, X 2022, AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators. in AAAI-22 Technical Tracks 8. Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, vol. 36, Association for the Advancement of Artificial Intelligence, pp. 8892-8900, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Virtual, Online, 2/22/22.
Yin, Y, Huang, S & Zhang, X 2022, BM-NAS: Bilevel Multimodal Neural Architecture Search. in AAAI-22 Technical Tracks 8. Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, vol. 36, Association for the Advancement of Artificial Intelligence, pp. 8901-8909, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Virtual, Online, 2/22/22.
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
Xu, D, Mukherjee, S, Liu, X, Dey, D, Wang, W, Zhang, X, Awadallah, AH & Gao, J 2022, Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. in S Koyejo, S Mohamed, A Agarwal, D Belgrave, K Cho & A Oh (eds), Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Advances in Neural Information Processing Systems, vol. 35, Neural information processing systems foundation, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, New Orleans, United States, 11/28/22.
Xu, J, Dai, E, Zhang, X & Wang, S 2022, HP-GMN: Graph Memory Networks for Heterophilous Graphs. in X Zhu, S Ranka, MT Thai, T Washio & X Wu (eds), Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022. Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2022-November, Institute of Electrical and Electronics Engineers Inc., pp. 1263-1268, 22nd IEEE International Conference on Data Mining, ICDM 2022, Orlando, United States, 11/28/22. https://doi.org/10.1109/ICDM54844.2022.00165
Wang, T, Cheng, W, Luo, D, Yu, W, Ni, J, Tong, L, Chen, H & Zhang, X 2022, Personalized Federated Learning via Heterogeneous Modular Networks. in X Zhu, S Ranka, MT Thai, T Washio & X Wu (eds), Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022. Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2022-November, Institute of Electrical and Electronics Engineers Inc., pp. 1197-1202, 22nd IEEE International Conference on Data Mining, ICDM 2022, Orlando, United States, 11/28/22. https://doi.org/10.1109/ICDM54844.2022.00154
Luo, D, Bian, Y, Yan, Y, Yu, X, Huan, J, Liu, X & Zhang, X 2023, 'Random Walk on Multiple Networks', IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 8, pp. 8417-8430. https://doi.org/10.1109/TKDE.2022.3221668
Zhao, T, Luo, D, Zhang, X & Wang, S 2022, 'TopoImb: Toward Topology-level Imbalance in Learning from Graphs', Proceedings of Machine Learning Research, vol. 198.
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. https://doi.org/10.1609/aaai.v35i12.17256
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.