| Towards Safer Large Language Models through Machine Unlearning Z Liu, G Dou, Z Tan, Y Tian, M Jiang ACL Findings, 2024 | 19 | 2024 |
| Fair Graph Representation Learning via Diverse Mixture of Experts Z Liu*, C Zhang*, Y Tian, E Zhang, C Huang, Y Ye, C Zhang The Web Conference (WWW) 2023, 2023 | 18 | 2023 |
| Chasing all-round graph representation robustness: Model, training, and optimization C Zhang, Y Tian, M Ju, Z Liu, Y Ye, N Chawla, C Zhang The Eleventh International Conference on Learning Representations (ICLR) 2023, 2022 | 16 | 2022 |
| Breaking the trilemma of privacy, utility, efficiency via controllable machine unlearning Z Liu*, G Dou*, Y Tian, C Zhang, E Chien, Z Zhu The Web Conference (WWW) 2024, 2023 | 11 | 2023 |
| Graphbert: Bridging graph and text for malicious behavior detection on social media J Wu, C Zhang, Z Liu, E Zhang, S Wilson, C Zhang 2022 IEEE International Conference on Data Mining (ICDM), 548-557, 2022 | 11 | 2022 |
| Democratizing large language models via personalized parameter-efficient fine-tuning Z Tan, Q Zeng, Y Tian, Z Liu, B Yin, M Jiang arXiv preprint arXiv:2402.04401, 2024 | 10 | 2024 |
| Can we soft prompt LLMs for graph learning tasks? Z Liu, X He, Y Tian, NV Chawla Companion Proceedings of the ACM on Web Conference 2024, 481-484, 2024 | 4 | 2024 |
| Ugmae: A unified framework for graph masked autoencoders Y Tian, C Zhang, Z Kou, Z Liu, X Zhang, NV Chawla arXiv preprint arXiv:2402.08023, 2024 | 3 | 2024 |
| Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm Z Liang, G Liu, Z Liu, J Cheng, T Hao, K Liu, H Ren, Z Song, J Liu, F Ye, ... arXiv preprint arXiv:2403.03310, 2024 | 1 | 2024 |
| Avoiding Copyright Infringement via Machine Unlearning G Dou, Z Liu, Q Lyu, K Ding, E Wong arXiv preprint arXiv:2406.10952, 2024 | | 2024 |
| Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts Z Tan, Z Liu, M Jiang arXiv preprint arXiv:2406.10471, 2024 | | 2024 |
| State-level COVID-19 Trend Forecasting Using Mobility and Policy Data Y Wang, H Peng, L Sha, Z Liu, P Hong medRxiv, 2021.01. 04.21249218, 2021 | | 2021 |
Yijun TianAmazon AWS AI在 amazon.com 的电子邮件经过验证
