Obserwuj
Lu Cheng
Lu Cheng
Assistant Professor, UIC CS
Zweryfikowany adres z uic.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
A survey of learning causality with data: Problems and methods
R Guo, L Cheng, J Li, PR Hahn, H Liu
ACM Computing Surveys (CSUR) 53 (4), 1-37, 2020
5342020
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
L Cheng, K Varshney, H Liu
Journal of Artificial Intelligence Research (JAIR) 71, 1137-1181, 2021
2412021
Xbully: Cyberbullying detection within a multi-modal context
L Cheng, J Li, YN Silva, DL Hall, H Liu
Proceedings of the twelfth acm international conference on web search and …, 2019
1382019
Large language models for data annotation and synthesis: A survey
Z Tan, D Li, S Wang, A Beigi, B Jiang, A Bhattacharjee, M Karami, J Li, ...
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
117*2024
Hierarchical attention networks for cyberbullying detection on the instagram social network
L Cheng, R Guo, Y Silva, D Hall, H Liu
Proceedings of the 2019 SIAM international conference on data mining, 235-243, 2019
1162019
Causal understanding of fake news dissemination on social media
L Cheng, R Guo, K Shu, H Liu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
782021
Evaluation Methods and Measures for Causal Learning Algorithms
L Cheng, R Guo, R Moraffah, P Sheth, KS Candan, H Liu
IEEE TAI, 2022
712022
Improving cyberbullying detection with user interaction
S Ge, L Cheng, H Liu
Proceedings of the Web Conference 2021, 496-506, 2021
452021
Unsupervised cyberbullying detection via time-informed Gaussian mixture model
L Cheng, K Shu, S Wu, YN Silva, DL Hall, H Liu
arXiv preprint arXiv:2008.02642, 2020
452020
PI-bully: Personalized cyberbullying detection with peer influence
L Cheng, J Li, Y Silva, D Hall, H Liu
The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
452019
A survey on echo chambers on social media: Description, detection and mitigation
F Alatawi, L Cheng, A Tahir, M Karami, B Jiang, T Black, H Liu
arXiv preprint arXiv:2112.05084, 2021
422021
Mitigating bias in session-based cyberbullying detection: A non-compromising approach
L Cheng, A Mosallanezhad, YN Silva, DL Hall, H Liu
The Joint Conference of the 59th Annual Meeting of the Association for …, 2021
422021
Modeling temporal patterns of cyberbullying detection with hierarchical attention networks
L Cheng, R Guo, YN Silva, D Hall, H Liu
ACM/IMS Transactions on Data Science 2 (2), 1-23, 2021
392021
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges
U Gohar, L Cheng
IJCAI, 2023
362023
Session-based cyberbullying detection: Problems and challenges
L Cheng, YN Silva, D Hall, H Liu
IEEE Internet Computing 25 (2), 66-72, 2020
362020
The carbon border adjustment mechanism is inefficient in addressing carbon leakage and results in unfair welfare losses
X Sun, Z Mi, L Cheng, DM Coffman, Y Liu
Fundamental Research 4 (3), 660-670, 2024
352024
Robust cyberbullying detection with causal interpretation
L Cheng, R Guo, H Liu
Companion Proceedings of The 2019 World Wide Web Conference, 169-175, 2019
342019
Mechanisms and attributes of echo chambers in social media
B Jiang, M Karami, L Cheng, T Black, H Liu
SBP-BRiMS Working Paper, 2021
282021
Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes
H Hu, L Cheng, J Vap, M Borowczak
The Web Conference, 2022
272022
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks
U Jeong, K Ding, L Cheng, R Guo, K Shu, H Liu
IEEE Big Data, 2022
262022
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20