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 | 102 | 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 | 73 | 2019 |
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 | 47 | 2015 |
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 | 45 | 2020 |
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 | 30 | 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 | 17 | 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 | 12 | 2022 |
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 |
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 |
Learning with logical constraints but without shortcut satisfaction Z Li, Z Liu, Y Yao, J Xu, T Chen, X Ma, L Jian The Eleventh International Conference on Learning Representations, 2022 | 5 | 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 | 5 | 2020 |
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 | 4 | 2019 |
WebEvo: taming web application evolution via detecting semantic structure changes F Shao, R Xu, W Haque, J Xu, Y Zhang, W Yang, Y Ye, X Xiao Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 3 | 2021 |
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 | 3 | 2020 |
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 | 2 | 2022 |
Measuring and Predicting the Relevance Ratings between FLOSS Projects using Topic Features Z Zheng, L Wang, J Xu, T Wu, S Wu, X Tao Proceedings of the 10th Asia-Pacific Symposium on Internetware, 1-10, 2018 | 2 | 2018 |
Building a real-world body area sensor network system X Jingwei, W Liang, T Xianping Proceedings of the Second Asia-Pacific Symposium on Internetware, 1-4, 2010 | 2 | 2010 |
A Deep Learning Dataloader with Shared Data Preparation J Xu, G Wang, Y Yao, Z Li, C Cao, H Tong Advances in Neural Information Processing Systems 35, 17146-17156, 2022 | 1 | 2022 |
Softened Symbol Grounding for Neuro-symbolic Systems Z Li, Y Yao, T Chen, J Xu, C Cao, X Ma, L Jian The Eleventh International Conference on Learning Representations, 2022 | 1 | 2022 |
Joint Distribution across Representation Space for Out-of-Distribution Detection JW Xu, S Zhu, Z Li, C Xu arXiv preprint arXiv:2103.12344, 2021 | 1 | 2021 |