| Uncovering collusive spammers in Chinese review websites C Xu, J Zhang, K Chang, C Long Proceedings of the 22nd ACM international conference on Information …, 2013 | 115 | 2013 |
| STRIP: A Defence Against Trojan Attacks on Deep Neural Networks Y Gao, C Xu, D Wang, S Chen, DC Ranasinghe, S Nepal The 35th Annual Computer Security Applications Conference, 2019 | 111 | 2019 |
| Combating product review spam campaigns via multiple heterogeneous pairwise features C Xu, J Zhang Proceedings of the 2015 SIAM International Conference on Data Mining, 172-180, 2015 | 44 | 2015 |
| Towards collusive fraud detection in online reviews C Xu, J Zhang 2015 IEEE international conference on data mining, 1051-1056, 2015 | 42 | 2015 |
| PowerLSTM: power demand forecasting using long short-term memory neural network Y Cheng, C Xu, D Mashima, VLL Thing, Y Wu International Conference on Advanced Data Mining and Applications, 727-740, 2017 | 39 | 2017 |
| Cross-target stance classification with self-attention networks C Xu, C Paris, S Nepal, R Sparks arXiv preprint arXiv:1805.06593, 2018 | 27 | 2018 |
| Detecting collusive spammers in online review communities C Xu Proceedings of the sixth workshop on Ph. D. students in information and …, 2013 | 25 | 2013 |
| Exploiting trust and distrust information to combat sybil attack in online social networks H Zhang, C Xu, J Zhang IFIP International Conference on Trust Management, 77-92, 2014 | 12 | 2014 |
| Online Reputation Fraud Campaign Detection in User Ratings. C Xu, J Zhang, Z Sun IJCAI, 3873-3879, 2017 | 6 | 2017 |
| Collusive opinion fraud detection in online reviews: A probabilistic modeling approach C Xu, J Zhang ACM Transactions on the Web (TWEB) 11 (4), 1-28, 2017 | 4 | 2017 |
| Improving Sybil detection via graph pruning and regularization techniques H Zhang, J Zhang, C Fung, C Xu Asian Conference on Machine Learning, 189-204, 2016 | 3 | 2016 |
| Recognising Agreement and Disagreement between Stances with Reason Comparing Networks C Xu, C Paris, S Nepal, R Sparks Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 2 | 2019 |
| Automated User Profiling in Location-Based Mobile Messaging Applications Y Cheng, C Xu, Y Yang, L Ying, P Su, D Feng 2014 IEEE 13th International Conference on Trust, Security and Privacy in …, 2014 | 2 | 2014 |
| A simple approach to the design of site-level extractors using domain-centric principles C Long, X Geng, C Xu, S Keerthi Proceedings of the 21st ACM international conference on Information and …, 2012 | 2 | 2012 |
| PowerNet: Neural Power Demand Forecasting in Smart Grid Y Cheng, C Xu, D Mashima, VLL Thing, Y Wu arXiv preprint arXiv:1904.11979, 2019 | 1 | 2019 |
| Large-scale Wi-Fi hotspot classification via deep learning C Xu, K Chang, KC Chua, M Hu, Z Gao Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 1 | 2017 |
| PowerNet: a smart energy forecasting architecture based on neural networks Y Cheng, C Xu, D Mashima, PP Biswas, G Chipurupalli, B Zhou, Y Wu IET Smart Cities 2 (4), 199-207, 2020 | | 2020 |
| DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model Y Cheng, C Xu, Z Hai, Y Li IEEE Transactions on Dependable and Secure Computing, 2020 | | 2020 |
| Comments on the three-zone approach for social media monitoring R Sparks, C Paris, A Joshi, C Xu Quality Engineering 32 (1), 1-3, 2020 | | 2020 |
| Assessing Social License to Operate from the Public Discourse on Social Media C Xu, C Paris, R Sparks, S Nepal, K VanderLinden The 28th International Conference on Computational Linguistics, 2020 | | 2020 |
