MM-COVID: A Multilingual and Multidimensional Data Repository for CombatingCOVID-19 Fake New Y Li, B Jiang, K Shu, H Liu arXiv preprint arXiv:2011.04088, 2020 | 119* | 2020 |
Leveraging multi-source weak social supervision for early detection of fake news K Shu, G Zheng, Y Li, S Mukherjee, AH Awadallah, S Ruston, H Liu arXiv preprint arXiv:2004.01732, 2020 | 49 | 2020 |
Fact-enhanced synthetic news generation K Shu, Y Li, K Ding, H Liu Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13825 …, 2021 | 31 | 2021 |
Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection Y Li, K Lee, N Kordzadeh, B Faber, C Fiddes, E Chen, K Shu IEEE BigData, 2021 | 29 | 2021 |
Ignite: A minimax game toward learning individual treatment effects from networked observational data R Guo, J Li, Y Li, KS Candan, A Raglin, H Liu Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 26 | 2021 |
Challenges in combating COVID-19 infodemic--data, tools, and ethics K Ding, K Shu, Y Li, A Bhattacharjee, H Liu arXiv preprint arXiv:2005.13691, 2020 | 15 | 2020 |
Recognition of bacteria named entity using conditional random fields in Spark X Wang, Y Li, T He, X Jiang, X Hu BMC systems biology 12, 39-45, 2018 | 10 | 2018 |
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs Y Li, K Ding, K Lee arXiv preprint arXiv:2310.15109, 2023 | 7 | 2023 |
Causal learning in question quality improvement Y Li, R Guo, W Wang, H Liu Benchmarking, Measuring, and Optimizing: Second BenchCouncil International …, 2020 | 7 | 2020 |
Graph neural networks with high-order feature interactions K Ding, Y Li, J Li, C Liu, H Liu arXiv preprint arXiv:1908.07110, 2019 | 7 | 2019 |
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification Y Li, G Mou, K Lee IEEE BigData, 2021 | 4 | 2021 |
What Boosts Fake News Dissemination on Social Media? A Causal Inference View Y Li, K Lee, N Kordzadeh, R Guo Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2023 | 3 | 2023 |
Empowering Large Language Models for Textual Data Augmentation Y Li, K Ding, J Wang, K Lee arXiv preprint arXiv:2404.17642, 2024 | 1 | 2024 |
MEND: Meta demonstration distillation for efficient and effective in-context learning Y Li, X Ma, S Lu, K Lee, X Liu, C Guo arXiv preprint arXiv:2403.06914, 2024 | | 2024 |
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness Y Li, J Han, K Lee, C Ma, B Yao, D Liu arXiv preprint arXiv:2305.01810, 2023 | | 2023 |