Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction. - Fan Zhou 002; Liu Yu 001; Xovee Xu; Goce Trajcevski (SIGIR, 2021)

Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). - Liu Yu 001; Xovee Xu; Ting Zhong; Goce Trajcevski; Fan Zhou 002 (AAAI, 2022)

Transformer-enhanced Hawkes process with decoupling training for information cascade prediction. - Liu Yu 001; Xovee Xu; Goce Trajcevski; Fan Zhou 002 (Knowl. Based Syst., 2022)

Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract). - Yuzhou Mao; Liu Yu 001; Yi Yang 042; Fan Zhou 002; Ting Zhong (AAAI, 2023)

Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning. - Fan Zhou 002; Yuzhou Mao; Liu Yu 001; Yi Yang 042; Ting Zhong (ACL (1), 2023)

Self-Supervised Rumor Detection with Augmented Variational Graphs. - Leyuan Liu 002; Junyi Chen; Liu Yu 001; Fan Zhou 002 (GLOBECOM, 2023)

Mixup-based Unified Framework to Overcome Gender Bias Resurgence. - Liu Yu 001; Yuzhou Mao; Jin Wu 002; Fan Zhou 002 (SIGIR, 2023)

Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract). - Liu Yu 001; Ludie Guo; Ping Kuang; Fan Zhou 002 (AAAI, 2024)

Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract). - Liu Yu 001; Fenghui Tian; Ping Kuang; Fan Zhou 002 (AAAI, 2024)

Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences. - Liu Yu 001; Ludie Guo; Ping Kuang; Fan Zhou 002 (ICASSP, 2025)

Amplifying commonsense knowledge via bi-directional relation integrated graph-based contrastive pre-training from large language models. - Liu Yu 001; Fenghui Tian; Ping Kuang; Fan Zhou 002 (Inf. Process. Manag., 2025)