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Yueqing Liang
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Year
Pre-training graph neural network for cross domain recommendation
C Wang, Y Liang, Z Liu, T Zhang, SY Philip
2021 IEEE Third International Conference on Cognitive Machine Intelligence …, 2021
362021
Artificial intelligence algorithms for treatment of diabetes
MM Rashid, MR Askari, C Chen, Y Liang, K Shu, A Cinar
Algorithms 15 (9), 299, 2022
122022
When fairness meets privacy: Fair classification with semi-private sensitive attributes
C Chen, Y Liang, X Xu, S Xie, A Kundu, A Payani, Y Hong, K Shu
arXiv preprint arXiv:2207.08336, 2022
9*2022
Fair classification via domain adaptation: A dual adversarial learning approach
Y Liang, C Chen, T Tian, K Shu
Frontiers in Big Data 5, 129, 2023
4*2023
Understanding the concerns and choices of public when using large language models for healthcare
Y Xiao, KZ Zhou, Y Liang, K Shu
arXiv preprint arXiv:2401.09090, 2024
12024
Beyond detection: Unveiling fairness vulnerabilities in abusive language models
Y Liang, L Cheng, A Payani, K Shu
arXiv preprint arXiv:2311.09428, 2023
12023
Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model
C Wang, L Yang, Z Liu, X Liu, M Yang, Y Liang, PS Yu
arXiv preprint arXiv:2310.09400, 2023
12023
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
C Wang, F Wang, R Guo, Y Liang, K Liu, PS Yu
arXiv preprint arXiv:2402.08976, 2024
2024
Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison
SJ Dillon, Y Liang, HR Bernard, K Shu
arXiv preprint arXiv:2305.19552, 2023
2023
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Articles 1–9