Yonghao Liu

According to our database, Yonghao Liu authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks.

Yonghao Liu, Mengyu Li, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan

Proceedings of the ACM on Web Conference 2025, 2025

Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport.

Yonghao Liu, Fausto Giunchiglia, Ximing Li, Lan Huang, Xiaoyue Feng, Renchu Guan

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning.

Yonghao Liu, Mengyu Li, Wei Pang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

A Simple Graph Contrastive Learning Framework for Short Text Classification.

Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training.

Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan

ACM Trans. Knowl. Discov. Data, November, 2024

Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification.

Mengyu Li, Yonghao Liu, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

CoRR, 2024

A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification.

Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the ACM on Web Conference 2024, 2024

Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference.

Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Improved Graph Contrastive Learning for Short Text Classification.

Yonghao Liu, Lan Huang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Local and Global: Temporal Question Answering via Information Fusion.

Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Few-shot Node Classification on Attributed Networks with Graph Meta-learning.

Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Deep Attention Diffusion Graph Neural Networks for Text Classification.

Yonghao Liu, Renchu Guan, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

VPALG: Paper-publication Prediction with Graph Neural Networks.

Renchu Guan, Yonghao Liu, Xiaoyue Feng, Ximing Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021