| 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 | 52 | 2021 |
| Artificial intelligence algorithms for treatment of diabetes MM Rashid, MR Askari, C Chen, Y Liang, K Shu, A Cinar Algorithms 15 (9), 299, 2022 | 17 | 2022 |
| Fair classification via domain adaptation: A dual adversarial learning approach Y Liang, C Chen, T Tian, K Shu Frontiers in Big Data 5, 1049565, 2023 | 13* | 2023 |
| 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 | 13* | 2022 |
| Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting X Xu, Y Liang, B Huang, Z Lan, K Shu arXiv preprint arXiv:2404.14757, 2024 | 12 | 2024 |
| Collaborative Alignment for Recommendation C Wang, L Yang, Z Liu, X Liu, M Yang, Y Liang, PS Yu Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 3* | 2024 |
| 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 | 3 | 2024 |
| 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 | 3 | 2024 |
| Taxonomy-Guided Zero-Shot Recommendations with LLMs Y Liang, L Yang, C Wang, X Xu, PS Yu, K Shu arXiv preprint arXiv:2406.14043, 2024 | 2 | 2024 |
| Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models Y Liang, L Cheng, A Payani, K Shu 2024 IEEE International Conference on Big Data (BigData), 2023 | 2 | 2023 |
| Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison SJ Dillon, Y Liang, HR Bernard, K Shu 2024 IEEE/ACM International Conference on Advances in Social Networks …, 2023 | 1 | 2023 |
| Piecing It All Together: Verifying Multi-Hop Multimodal Claims H Wang, A Rangapur, X Xu, Y Liang, H Gharwi, C Yang, K Shu arXiv preprint arXiv:2411.09547, 2024 | | 2024 |
| Will LLMs rule? An Introductory Survey for Unified World Modeling with Multi-Modality Z Deng, Y Wang, Y Liang, J Du, J Chen, Y Li, W Zhao, PS Yu | | 2024 |
| SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting X Xu, C Chen, Y Liang, B Huang, G Bai, L Zhao, K Shu | | 2024 |
Kai ShuAssistant Professor of Computer Science, Emory Universityכתובת אימייל מאומתת בדומיין emory.edu