Yichuan Li

According to our database, Yichuan Li authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning.

Yichuan Li, Xiyao Ma, Sixing Lu, Kyumin Lee, Xiaohu Liu, Chenlei Guo

CoRR, 2024

2023

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness.

Yichuan Li, Jialong Han, Kyumin Lee, Chengyuan Ma, Benjamin Yao, Derek Liu

CoRR, 2023

What Boosts Fake News Dissemination on Social Media? A Causal Inference View.

Yichuan Li, Kyumin Lee, Nima Kordzadeh, Ruocheng Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness.

Yichuan Li, Jialong Han, Kyumin Lee, Chengyuan Ma, Benjamin Yao, Xiaohu Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs.

Yichuan Li, Kaize Ding, Kyumin Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification.

Guanyi Mou, Yichuan Li, Kyumin Lee

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection.

Yichuan Li, Kyumin Lee, Nima Kordzadeh, Brenton D. Faber, Cameron Fiddes, Elaine Chen, Kai Shu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Fact-Enhanced Synthetic News Generation.

Kai Shu, Yichuan Li, Kaize Ding, Huan Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation.

Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu

CoRR, 2020

Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.

Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu

CoRR, 2020

Early Detection of Fake News with Multi-source Weak Social Supervision.

Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data.

Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics.

Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation.

Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Graph Neural Networks with High-order Feature Interactions.

Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu

CoRR, 2019

Causal Learning in Question Quality Improvement.

Yichuan Li, Ruocheng Guo, Weiying Wang, Huan Liu

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019