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ORCIDYichuan Li 0001
Person information
- affiliation: Worcester Polytechnic Institute, Worcester, MA, USA
Other persons with the same name
- Yichuan Li 0002
![[0000-0001-8473-5378]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8473-5378")
— Chinese University of Hong Kong, Robotics Institute, Department of Mechanical and Automation Engineering, Hong Kong - Yichuan Li 0003 — Harbin Institute of Technology, Shenzhen, China (and 1 more)
- Yichuan Li 0004 — University of Illinois at Urbana-Champaign, IL, USA
- Yichuan Li 0005 — Shantou University, Shantou, China
- Yichuan Li 0006 — China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China
- Yichuan Li 0007 — Dalian University of Technology, School of Hydraulic Engineering, China
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2020 – today
- 2024
[c14]Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee:
Empowering Large Language Models for Textual Data Augmentation. ACL (Findings) 2024: 12734-12751- [c13]Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding:
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning. EMNLP (Findings) 2024: 1396-1409 - [c12]Yichuan Li, Xiyao Ma, Sixing Lu, Kyumin Lee, Xiaohu Liu, Chenlei Guo:
MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning. ICLR 2024 - [i10]Yichuan Li, Xiyao Ma, Sixing Lu, Kyumin Lee, Xiaohu Liu, Chenlei Guo:
MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning. CoRR abs/2403.06914 (2024) - [i9]Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee:
Empowering Large Language Models for Textual Data Augmentation. CoRR abs/2404.17642 (2024) - [i8]Guanyi Mou, Yichuan Li, Kyumin Lee:
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification. CoRR abs/2409.17474 (2024) - 2023
- [c11]Yichuan Li, Kaize Ding, Kyumin Lee:
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs. EMNLP (Findings) 2023: 2745-2757 - [c10]Yichuan Li, Jialong Han, Kyumin Lee, Chengyuan Ma, Benjamin Yao, Xiaohu Liu:
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness. EMNLP (Findings) 2023: 6864-6876 - [c9]Yichuan Li, Kyumin Lee, Nima Kordzadeh, Ruocheng Guo:
What Boosts Fake News Dissemination on Social Media? A Causal Inference View. PAKDD (4) 2023: 234-246 - [i7]Yichuan Li, Jialong Han, Kyumin Lee, Chengyuan Ma, Benjamin Yao, Derek Liu:
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness. CoRR abs/2305.01810 (2023) - [i6]Yichuan Li, Kaize Ding, Kyumin Lee:
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs. CoRR abs/2310.15109 (2023) - 2021
- [c8]Kai Shu, Yichuan Li, Kaize Ding, Huan Liu:
Fact-Enhanced Synthetic News Generation. AAAI 2021: 13825-13833 - [c7]Yichuan Li, Kyumin Lee, Nima Kordzadeh, Brenton D. Faber, Cameron Fiddes, Elaine Chen, Kai Shu:
Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection. IEEE BigData 2021: 668-676 - [c6]Guanyi Mou, Yichuan Li, Kyumin Lee:
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification. IEEE BigData 2021: 876-887 - 2020
- [c5]Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu:
Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation. IEEE BigData 2020: 4325-4330 - [c4]Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu:
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. CIKM (Workshops) 2020 - [c3]Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. IJCAI 2020: 4534-4540 - [c2]Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu:
Early Detection of Fake News with Multi-source Weak Social Supervision. ECML/PKDD (3) 2020: 650-666 - [i5]Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu:
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News. CoRR abs/2004.01732 (2020) - [i4]Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu:
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. CoRR abs/2005.13691 (2020) - [i3]Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu:
MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation. CoRR abs/2011.04088 (2020) - [i2]Kai Shu, Yichuan Li, Kaize Ding, Huan Liu:
Fact-Enhanced Synthetic News Generation. CoRR abs/2012.04778 (2020)
2010 – 2019
- 2019
- [c1]Yichuan Li, Ruocheng Guo, Weiying Wang, Huan Liu:
Causal Learning in Question Quality Improvement. Bench 2019: 204-214 - [i1]Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu:
Graph Neural Networks with High-order Feature Interactions. CoRR abs/1908.07110 (2019)
Coauthor Index
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