| Deepfuzz: Automatic generation of syntax valid c programs for fuzz testing X Liu, X Li, R Prajapati, D Wu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1044-1051, 2019 | 127 | 2019 |
| Denoising self-attentive sequential recommendation H Chen, Y Lin, M Pan, L Wang, CCM Yeh, X Li, Y Zheng, F Wang, H Yang Proceedings of the 16th ACM Conference on Recommender Systems, 92-101, 2022 | 66 | 2022 |
| Abacus: Precise side-channel analysis Q Bao, Z Wang, X Li, JR Larus, D Wu 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 31 | 2021 |
| Distilling Knowledge on Text Graph for Social Media Attribute Inference Q Li, X Li, L Chen, D Wu The 45th International ACM SIGIR Conference on Research and Development in …, 2022 | 20 | 2022 |
| Turning attacks into protection: Social media privacy protection using adversarial attacks X Li, L Chen, D Wu Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 20 | 2021 |
| Tinykg: Memory-efficient training framework for knowledge graph neural recommender systems H Chen, X Li, K Zhou, X Hu, CCM Yeh, Y Zheng, H Yang Proceedings of the 16th ACM Conference on Recommender Systems, 257-267, 2022 | 16 | 2022 |
| Enhancing robustness of graph convolutional networks via dropping graph connections L Chen, X Li, D Wu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 14 | 2021 |
| ALPHAPROG: reinforcement generation of valid programs for compiler fuzzing X Li, X Liu, L Chen, R Prajapati, D Wu Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12559 …, 2022 | 12 | 2022 |
| FuzzBoost: Reinforcement Compiler Fuzzing X Li, X Liu, L Chen, R Prajapati, D Wu International Conference on Information and Communications Security, 359-375, 2022 | 10 | 2022 |
| Adversarially reprogramming pretrained neural networks for data-limited and cost-efficient malware detection L Chen, X Li, D Wu Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 9 | 2022 |
| Adversary for social good: Leveraging attribute-obfuscating attack to protect user privacy on social networks X Li, L Chen, D Wu International Conference on Security and Privacy in Communication Systems …, 2022 | 7 | 2022 |
| SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction X Li, Y Wu, V Rakesh, Y Lin, H Yang, F Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 7 | 2022 |
| Adversarial Collaborative Filtering for Free H Chen, X Li, V Lai, CCM Yeh, Y Fan, Y Zheng, M Das, H Yang Proceedings of the 17th ACM Conference on Recommender Systems, 245-255, 2023 | 6 | 2023 |
| Watermarking-based defense against adversarial attacks on deep neural networks X Li, L Chen, J Zhang, J Larus, D Wu 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 6 | 2021 |
| Adversary for social good: Leveraging adversarial attacks to protect personal attribute privacy X Li, L Chen, D Wu ACM Transactions on Knowledge Discovery from Data 18 (2), 1-24, 2023 | 5 | 2023 |
| Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. H Chen, K Zhou, Z Jiang, CCM Yeh, X Li, M Pan, Y Zheng, X Hu, H Yang IJCAI, 2068-2076, 2023 | 5 | 2023 |
| TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules W Ren, X Li, H Chen, V Rakesh, Z Wang, M Das, VG Honavar Forty-first International Conference on Machine Learning, 0 | 5 | |
| Reinforcement compiler fuzzing X Liu, R Prajapati, X Li, D Wu | 3 | 2019 |
| Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks Z Chen, J Zhang, J Ni, X Li, Y Bian, MM Islam, A Mondal, H Wei, D Luo Forty-first International Conference on Machine Learning, 0 | 2 | |
| Towards Generating Adversarial Examples on Mixed-type Data H Xu, M Pan, Z Jiang, H Chen, X Li, M Das, H Yang arXiv preprint arXiv:2210.09405, 2022 | 1 | 2022 |
Dinghao WuPennsylvania State UniversityE-mail megerősítve itt: psu.edu