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
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, Zhang, X & Wang, S 2024, 'Imbalanced Node Classification With Synthetic Over-Sampling', IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 12, pp. 8515-8528. https://doi.org/10.1109/TKDE.2024.3443160
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
Zhao, T, Luo, D, Zhang, X & Wang, S 2024, Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. in KDD 2024 - Proceedings of the 30th 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. 4479-4489, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, 8/25/24. https://doi.org/10.1145/3637528.3671829
Adil, N, Dryepondt, SN, Kulkarni, A, Geoghegan, PJ, Zhang, X, Alkandari, A & Rattner, AS 2024, 'Rational design process for gas turbine exhaust to supercritical CO2 waste heat recovery heat exchanger using topology optimization', Applied Thermal Engineering, vol. 236, 121670. https://doi.org/10.1016/j.applthermaleng.2023.121670
Xu, J, Dai, E, Luo, D, Zhang, X & Wang, S 2024, Shape-aware Graph Spectral Learning. in CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery, pp. 2692-2701, 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, United States, 10/21/24. https://doi.org/10.1145/3627673.3679604
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
Wu, Z, Gao, H, Wang, Y, Zhang, X & Wang, S 2024, Universal Prompt Optimizer for Safe Text-to-Image Generation WARNING: This paper contains offensive images generated by models. in K Duh, H Gomez & S Bethard (eds), Long Papers. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024, vol. 1, Association for Computational Linguistics (ACL), pp. 6340-6354, 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024, Hybrid, Mexico City, Mexico, 6/16/24.
2023
Lin, M, Xiao, T, Dai, E, Zhang, X & Wang, S 2023, Certifiably Robust Graph Contrastive Learning. in A Oh, T Neumann, A Globerson, K Saenko, M Hardt & S Levine (eds), Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Advances in Neural Information Processing Systems, vol. 36, Neural information processing systems foundation, 37th Conference on Neural Information Processing Systems, NeurIPS 2023, New Orleans, United States, 12/10/23.
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.
Zhang, X & Rattner, AS 2023, 'HYBRID VOLUME OF FLUID (VOF) AND LAGRANGIAN APPROACH FOR SIMULATING INTERACTIONS BETWEEN DISPERSED BUBBLES AND LARGE INTERFACES IN TWO-PHASE FLOW', Proceedings of the Thermal and Fluids Engineering Summer Conference, vol. 2023-March, pp. 1271-1275.
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. https://doi.org/10.1609/aaai.v37i4.25575
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. https://doi.org/10.1609/aaai.v36i8.20871
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. https://doi.org/10.1609/aaai.v36i8.20872
Zhang, X & Rattner, AS 2022, 'EXPERIMENTAL STUDY OF INTERACTIONS BETWEEN WAKES AND NUCLEATE BOILING IN INTERMITTENT FLOW PATTERNS', Proceedings of the Thermal and Fluids Engineering Summer Conference, vol. 2022-May, pp. 687-690. https://doi.org/10.1615/TFEC2022.mpp.040970
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. https://doi.org/10.1609/aaai.v35i5.16583