Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate L Wu, H Liu The 11th ACM International Conference on Web Search and Data Mining (WSDM …, 2018 | 154 | 2018 |
A new approach to bot detection: striking the balance between precision and recall F Morstatter, L Wu, TH Nazer, KM Carley, H Liu 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 123 | 2016 |
Mining misinformation in social media L Wu, F Morstatter, X Hu, H Liu Big data in complex and social networks, 123-152, 2016 | 74 | 2016 |
Leveraging the implicit structure within social media for emergent rumor detection J Sampson, F Morstatter, L Wu, H Liu Proceedings of the 25th ACM international on conference on information and …, 2016 | 60 | 2016 |
Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media L Wu, J Li, X Hu, H Liu SIAM International Conference on Data Mining. SIAM, 2017 | 58 | 2017 |
Robust unsupervised feature selection on networked data J Li, X Hu, L Wu, H Liu Proceedings of the 2016 SIAM International Conference on Data Mining, 387-395, 2016 | 58 | 2016 |
Big Data in Complex and Social Networks MT Thai, W Wu, H Xiong CRC Press, 2016 | 51 | 2016 |
Adaptive Spammer Detection with Sparse Group Modeling L Wu, X Hu, F Morstatter, H Liu The 11th International AAAI Conference on Web and Social Media (ICWSM 2017), 2017 | 44 | 2017 |
Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce L Wu, D Hu, L Hong, H Liu ACM SIGIR Conference on Research and Development in Information Retrieval …, 2018 | 34 | 2018 |
Streaming Link Prediction on Dynamic Attributed Networks J Li, K Cheng, L Wu, H Liu | 32 | 2018 |
Misinformation in social media: definition, manipulation, and detection L Wu, F Morstatter, KM Carley, H Liu ACM SIGKDD Explorations Newsletter 21 (2), 80-90, 2019 | 27 | 2019 |
Identifying Framing Bias in Online News F Morstatter, L Wu, U Yavanoglu, SS Corman, H Liu ACM Transactions on Social Computing, 2017 | 27 | 2017 |
SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification L Wu, F Morstatter, H Liu eprint arXiv:1608.05129, 2016 | 26 | 2016 |
Toward personalized relational learning J Li, L Wu, OR Zaïane, H Liu Proceedings of the 2017 SIAM International Conference on Data Mining, 444-452, 2017 | 20 | 2017 |
Fuzzy keyword search over encrypted data in the public key setting Q Dong, Z Guan, L Wu, Z Chen International Conference on Web-Age Information Management, 729-740, 2013 | 20 | 2013 |
Unsupervised Personalized Feature Selection J Li, L Wu, H Dani, H Liu | 19 | 2018 |
SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification L Wu, F Morstatter, H Liu Language Resources and Evaluation 52 (3), 839-852, 2018 | 15 | 2018 |
Detecting Camouflaged Content Polluters L Wu, X Hu, F Morstatter, H Liu The 11th International AAAI Conference on Web and Social Media (ICWSM 2017), 2017 | 15 | 2017 |
Multi-level network embedding with boosted low-rank matrix approximation J Li, L Wu, R Guo, C Liu, H Liu Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 11 | 2019 |
Heterogeneous metric learning with content-based regularization for software artifact retrieval L Wu, L Du, B Liu, G Xu, Y Ge, Y Fu, J Li, Y Zhou, H Xiong 2014 IEEE International Conference on Data Mining, 610-619, 2014 | 11 | 2014 |