| When large language models meet personalization: Perspectives of challenges and opportunities J Chen, Z Liu, X Huang, C Wu, Q Liu, G Jiang, Y Pu, Y Lei, X Chen, ... World Wide Web 27 (4), 42, 2024 | 133 | 2024 |
| Triple adversarial learning for influence based poisoning attack in recommender systems C Wu, D Lian, Y Ge, Z Zhu, E Chen Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 70 | 2021 |
| Fight fire with fire: towards robust recommender systems via adversarial poisoning training C Wu, D Lian, Y Ge, Z Zhu, E Chen, S Yuan Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 55 | 2021 |
| Influence-driven data poisoning for robust recommender systems C Wu, D Lian, Y Ge, Z Zhu, E Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023 | 28 | 2023 |
| Markov-driven graph convolutional networks for social spammer detection L Deng, C Wu, D Lian, Y Wu, E Chen IEEE Transactions on Knowledge and Data Engineering 35 (12), 12310-12322, 2022 | 25 | 2022 |
| Genetic algorithm with multiple fitness functions for generating adversarial examples C Wu, W Luo, N Zhou, P Xu, T Zhu 2021 IEEE Congress on Evolutionary Computation (CEC), 1792-1799, 2021 | 24 | 2021 |
| Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy L Deng, D Lian, C Wu, E Chen Advances in Neural Information Processing Systems, 2022 | 20 | 2022 |
| A Causality Inspired Framework for Model Interpretation C Wu, X Wang, D Lian, X Xie, E Chen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 17 | 2023 |
| Traffic4cast at neurips 2022–predict dynamics along graph edges from sparse node data: Whole city traffic and eta from stationary vehicle detectors M Neun, C Eichenberger, H Martin, M Spanring, R Siripurapu, D Springer, ... NeurIPS 2022 Competition Track, 251-278, 2023 | 10 | 2023 |
| Membership inference attacks against sequential recommender systems Z Zhu, C Wu, R Fan, D Lian, E Chen Proceedings of the ACM Web Conference 2023, 1208-1219, 2023 | 10 | 2023 |
| Detecting adversarial examples by positive and negative representations W Luo, C Wu, L Ni, N Zhou, Z Zhang Applied Soft Computing 117, 108383, 2022 | 9 | 2022 |
| Random directional attack for fooling deep neural networks W Luo, C Wu, N Zhou, L Ni arXiv preprint arXiv:1908.02658, 2019 | 6 | 2019 |
| Towards robust recommender systems via triple cooperative defense Q Wang, D Lian, C Wu, E Chen International Conference on Web Information Systems Engineering, 564-578, 2022 | 4 | 2022 |
| Resisting graph adversarial attack via cooperative homophilous augmentation Z Zhu, C Wu, M Zhou, H Liao, D Lian, E Chen Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 4 | 2022 |
| Enhancing the privacy of negative surveys using negative combined categories H Jiang, W Luo, B Duan, C Wu Applied Soft Computing 96, 106578, 2020 | 4 | 2020 |
| A crop-based multi-branch network for matching cost computation Y Chen, Y Xia, C Wu 2018 11th International Congress on Image and Signal Processing, BioMedical …, 2018 | 4 | 2018 |
| Boosting factorization machines via saliency-guided mixup C Wu, D Lian, Y Ge, M Zhou, E Chen, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 3 | 2024 |
| Attacking Social Media via Behavior Poisoning C Wu, D Lian, Y Ge, M Zhou, E Chen ACM Transactions on Knowledge Discovery from Data, 2024 | 3 | 2024 |
| Transposed variational auto-encoder with intrinsic feature learning for traffic forecasting L Deng, C Wu, D Lian, M Zhou arXiv preprint arXiv:2211.00641, 2022 | 3 | 2022 |
| Securing recommender system via cooperative training Q Wang, C Wu, D Lian, E Chen World Wide Web 26 (6), 3915-3943, 2023 | 2 | 2023 |
Defu Lian (连德富)Professor, University of Science and Technology of ChinaBestätigte E-Mail-Adresse bei ustc.edu.cn
