| FTrack: Infrastructure-free floor localization via mobile phone sensing H Ye, T Gu, X Zhu, J Xu, X Tao, J Lu, N Jin 2012 IEEE International Conference on Pervasive Computing and Communications …, 2012 | 112 | 2012 |
| Boosting operational dnn testing efficiency through conditioning Z Li, X Ma, C Xu, C Cao, J Xu, J Lü Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 102 | 2019 |
| DISSECTOR: Input Validation for Deep Learning Applications by Crossing-layer Dissection H Wang, J Xu, C Xu, X Ma, J Lu 42nd ACM/IEEE International Conference on Software Engineering (ICSE 2020), 2020 | 72 | 2020 |
| Mirror: Model inversion for deep learning network with high fidelity S An, G Tao, Q Xu, Y Liu, G Shen, Y Yao, J Xu, X Zhang Proceedings of the 29th Network and Distributed System Security Symposium, 2022 | 53 | 2022 |
| Ice-breaking: Mitigating cold-start recommendation problem by rating comparison J Xu, Y Yao, H Tong, X Tao, J Lu Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 48 | 2015 |
| RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem J Xu, Y Yao, H Tong, X Tao, J Lu IEEE Transactions on Knowledge and Data Engineering 29 (6), 1296-1309, 2016 | 35 | 2016 |
| Operational calibration: Debugging confidence errors for dnns in the field Z Li, X Ma, C Xu, J Xu, C Cao, J Lü Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 30 | 2020 |
| Advancing transformer architecture in long-context large language models: A comprehensive survey Y Huang, J Xu, Z Jiang, J Lai, Z Li, Y Yao, T Chen, L Yang, Z Xin, X Ma arXiv preprint arXiv:2311.12351, 2023 | 27 | 2023 |
| Softened symbol grounding for neuro-symbolic systems Z Li, Y Yao, T Chen, J Xu, C Cao, X Ma, J Lü arXiv preprint arXiv:2403.00323, 2024 | 18 | 2024 |
| Learning with logical constraints but without shortcut satisfaction Z Li, Z Liu, Y Yao, J Xu, T Chen, X Ma, J Lü arXiv preprint arXiv:2403.00329, 2024 | 17 | 2024 |
| Hoorays: High-order optimization of rating distance for recommender systems J Xu, Y Yao, H Tong, X Tao, J Lu Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 10 | 2017 |
| ADEPT: A testing platform for simulated autonomous driving S Wang, Z Sheng, J Xu, T Chen, J Zhu, S Zhang, Y Yao, X Ma Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 8 | 2022 |
| Scheduling distributed deep learning jobs in heterogeneous cluster with placement awareness Q Li, J Xu, C Cao Proceedings of the 12th Asia-Pacific Symposium on Internetware, 217-228, 2020 | 8 | 2020 |
| Predicted Robustness as QoS for Deep Neural Network Models W Yuehuan, L Zenan, X Jingwei, Y Ping, C Taolue, M Xiaoxing JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 35 (5), 999-1015, 2020 | 7 | 2020 |
| A Deep Learning Dataloader with Shared Data Preparation J Xie, J Xu, G Wang, Y Yao, Z Li, C Cao, H Tong Advances in Neural Information Processing Systems 35, 17146-17156, 2022 | 6 | 2022 |
| Artemis-FollowMe: An agent-based middleware for mobile context-aware applications J Ma, L Wang, J Xu, X Tao, J Lu 2011 6th International Conference on Pervasive Computing and Applications …, 2011 | 6 | 2011 |
| Fast robustness prediction for deep neural network Y Wang, Z Li, J Xu, P Yu, X Ma Proceedings of the 11th Asia-Pacific Symposium on Internetware, 1-10, 2019 | 5 | 2019 |
| Neuro-symbolic learning yielding logical constraints Z Li, Y Huang, Z Li, Y Yao, J Xu, T Chen, X Ma, J Lu Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models J Xu, J Lai, Y Huang arXiv preprint arXiv:2405.13053, 2024 | 3 | 2024 |
| Data Quality Matters: A Case Study of Obsolete Comment Detection S Xu, Y Yao, F Xu, T Gu, J Xu, X Ma 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 3 | 2023 |
Xiaoxing MaProfessor of Computer Science and Technology, Nanjing UniversityVerified email at nju.edu.cn
