Chang Xu
Chang Xu
Computing and Information Systems, University of Melbourne
Verified email at unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
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
1742019
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
1282013
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
522015
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
472017
Towards collusive fraud detection in online reviews
C Xu, J Zhang
2015 IEEE international conference on data mining, 1051-1056, 2015
472015
Cross-target stance classification with self-attention networks
C Xu, C Paris, S Nepal, R Sparks
arXiv preprint arXiv:1805.06593, 2018
412018
Detecting collusive spammers in online review communities
C Xu
Proceedings of the sixth workshop on Ph. D. students in information and …, 2013
262013
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
122014
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
72017
Online Reputation Fraud Campaign Detection in User Ratings.
C Xu, J Zhang, Z Sun
IJCAI, 3873-3879, 2017
72017
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
42019
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
42016
PowerNet: Neural Power Demand Forecasting in Smart Grid
Y Cheng, C Xu, D Mashima, VLL Thing, Y Wu
arXiv preprint arXiv:1904.11979, 2019
32019
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
22014
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
22012
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
12020
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains
C Xu, C Paris, S Nepal, R Sparks, C Long, Y Wang
European Conference on Artificial Intelligence, 2020
12020
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
12017
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation
J Wang, C Xu, F Guzmán, A El-Kishky, BIP Rubinstein, T Cohn
arXiv preprint arXiv:2107.08357, 2021
2021
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning
J Wang, C Xu, F Guzmán, A El-Kishky, Y Tang, BIP Rubinstein, T Cohn
arXiv preprint arXiv:2107.05243, 2021
2021
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