| Improving stock market prediction via heterogeneous information fusion X Zhang, Y Zhang, S Wang, Y Yao, B Fang, SY Philip Knowledge-Based Systems 143, 236-247, 2018 | 225 | 2018 |
| Rumor Detection on Social Media with Graph Structured Adversarial Learning X Yang, Y Lyu, T Tian, Y Liu, Y Liu, X Zhang IJCAI 2020, 2020 | 139 | 2020 |
| Dense scale network for crowd counting F Dai, H Liu, Y Ma, X Zhang, Q Zhao Proceedings of the 2021 international conference on multimedia retrieval, 64-72, 2021 | 109 | 2021 |
| DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media M Sun, X Zhang, J Zheng, G Ma Proceedings of the AAAI Conference on Artificial Intelligence, 36(4), 4611-4619., 2022 | 98 | 2022 |
| Exploiting investors social network for stock prediction in China's market X Zhang, J Shi, D Wang, B Fang Journal of computational science 28, 294-303, 2018 | 93 | 2018 |
| MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection J Zheng, X Zhang, S Guo, Q Wang, W Zang, Y Zhang the Thirty-First International Joint Conference on Artificial Intelligence …, 2022 | 64 | 2022 |
| Inconsistent matters: A knowledge-guided dual-consistency network for multi-modal rumor detection M Sun, X Zhang, J Ma, S Xie, Y Liu, SY Philip IEEE Transactions on Knowledge and Data Engineering 35 (12), 12736-12749, 2023 | 62 | 2023 |
| Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data X Zhang, Y Li, S Wang, B Fang, PS Yu Knowledge and Information Systems 61, 1071-1090, 2019 | 58 | 2019 |
| A survey of text watermarking in the era of large language models A Liu, L Pan, Y Lu, J Li, X Hu, X Zhang, L Wen, I King, H Xiong, P Yu ACM Computing Surveys 57 (2), 1-36, 2024 | 52 | 2024 |
| The coming era of alphahacking?: A survey of automatic software vulnerability detection, exploitation and patching techniques T Ji, Y Wu, C Wang, X Zhang, Z Wang 2018 IEEE third international conference on data science in cyberspace (DSC …, 2018 | 44 | 2018 |
| QSAN: A quantum-probability based signed attention network for explainable false information detection T Tian, Y Liu, X Yang, Y Lyu, X Zhang, B Fang Proceedings of the 29th ACM international conference on information …, 2020 | 30 | 2020 |
| A tensor-based sub-mode coordinate algorithm for stock prediction J Huang, Y Zhang, J Zhang, X Zhang 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC …, 2018 | 27 | 2018 |
| Understanding information interactions in diffusion: an evolutionary game-theoretic perspective Y Su, X Zhang, L Liu, S Song, B Fang Frontiers of Computer Science 10, 518-531, 2016 | 26 | 2016 |
| IAD: Interaction-aware diffusion framework in social networks X Zhang, Y Su, S Qu, S Xie, B Fang, SY Philip IEEE Transactions on Knowledge and Data Engineering 31 (7), 1341-1354, 2018 | 21 | 2018 |
| A read-write aware replacement policy for phase change memory X Zhang, Q Hu, D Wang, C Li, H Wang Advanced Parallel Processing Technologies: 9th International Symposium, APPT …, 2011 | 21 | 2011 |
| Explainable Survival Analysis with Convolution-involved Vision Transformer Y Shen, L Liu, Z Tang, Z Chen, G Ma, J Dong, X Zhang, L Yang, Q Zheng Proceedings of the AAAI Conference on Artificial Intelligence, 36(2), 2207-2215, 2022 | 17 | 2022 |
| A cache replacement policy using adaptive insertion and re-reference prediction X Zhang, C Li, H Wang, D Wang 2010 22nd International Symposium on Computer Architecture and High …, 2010 | 16 | 2010 |
| Detecting Cash-out Users via Dense Subgraphs Y Ji, Z Zhang, X Tang, J Shen, X Zhang, G Yang KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge …, 2022 | 14 | 2022 |
| TransGNN: Harnessing the collaborative power of transformers and graph neural networks for recommender systems P Zhang, Y Yan, X Zhang, C Li, S Wang, F Huang, S Kim Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 13 | 2024 |
| Multi-objective explanations of GNN predictions Y Liu, C Chen, Y Liu, X Zhang, S Xie 2021 IEEE International Conference on Data Mining (ICDM), 409-418, 2021 | 13 | 2021 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoPreverjeni e-poštni naslov na cs.uic.edu