Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning F Zhou, Y Mao, L Yu, Y Yang, T Zhong Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 19 | 2023 |
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction L Yu, X Xu, G Trajcevski, F Zhou Knowledge-Based Systems 255, 109740, 2022 | 15 | 2022 |
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction F Zhou, L Yu, X Xu, G Trajcevski Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 14 | 2021 |
Mixup-based Unified Framework to Overcome Gender Bias Resurgence L Yu, Y Mao, J Wu, F Zhou Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 4 | 2023 |
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract) Y Mao, L Yu, Y Yang, F Zhou, T Zhong Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16280 …, 2023 | 2 | 2023 |
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract) L Yu, X Xu, T Zhong, G Trajcevski, F Zhou AAAI Conference on Artificial Intelligence (AAAI) 36 (11), 13103-13104, 2022 | 1 | 2022 |
Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract) L Yu, L Guo, P Kuang, F Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23701 …, 2024 | | 2024 |
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract) L Yu, F Tian, P Kuang, F Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23699 …, 2024 | | 2024 |
Self-Supervised Rumor Detection with Augmented Variational Graphs L Liu, J Chen, L Yu, F Zhou GLOBECOM 2023-2023 IEEE Global Communications Conference, 363-368, 2023 | | 2023 |