| Fair attribute completion on graph with missing attributes D Guo, Z Chu, S Li The Eleventh International Conference on Learning Representations, 2023 | 19 | 2023 |
| Towards explainable visual anomaly detection Y Wang, D Guo, S Li, Y Fu arXiv preprint arXiv:2302.06670, 2023 | 9 | 2023 |
| Xai meets biology: A comprehensive review of explainable ai in bioinformatics applications Z Zhou, M Hu, M Salcedo, N Gravel, W Yeung, A Venkat, D Guo, J Zhang, ... arXiv preprint arXiv:2312.06082, 2023 | 7 | 2023 |
| A Survey of Trustworthy Representation Learning Across Domains R Zhu, D Guo, D Qi, Z Chu, X Yu, S Li ACM Transactions on Knowledge Discovery from Data, 2024 | 6 | 2024 |
| Trustworthy representation learning across domains R Zhu, D Guo, D Qi, Z Chu, X Yu, S Li arXiv preprint arXiv:2308.12315, 2023 | 6 | 2023 |
| Ada-VAD: Domain Adaptable Video Anomaly Detection D Guo, Y Fu, S Li Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | 3 | 2024 |
| No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users M Hu, H Wu, Z Guan, R Zhu, D Guo, D Qi, S Li arXiv preprint arXiv:2410.07589, 2024 | 1 | 2024 |
| Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks D Zhan, D Guo, P Ji, S Li arXiv preprint arXiv:2404.17511, 2024 | 1 | 2024 |
| Ensemble of Large Language Models for Curated Labeling and Rating of Free-text Data J Qiu, D Guo, P Natalie, P Noelle, L Cheri, TR Henry arXiv preprint arXiv:2501.08413, 2025 | | 2025 |
| Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing D Guo, M Hu, Z Guan, J Guo, T Hartvigsen, S Li arXiv preprint arXiv:2410.18267, 2024 | | 2024 |
| BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing D Guo, M Hu, Z Guan, T Hartvigsen, S Li | | |