Yonghao Liu

According to our database, Yonghao Liu authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning.

Xiaosong Han, Ke Chen, Xindi Dai, Di Liang, Minlong Peng, Wei Pang, Fausto Giunchiglia, Xiaoyue Feng, Yonghao Liu, Renchu Guan

CoRR, May, 2026

Advancing Graph Few-Shot Learning via In-Context Learning.

Renchu Guan, Yajun Wang, Chunli Guo, Bowen Cao, Fausto Giunchiglia, Wei Pang, Yonghao Liu, Xiaoyue Feng

CoRR, May, 2026

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion.

Yonghao Liu, Jialu Sun, Wei Pang, Fausto Giunchiglia, Ximing Li, Xiaoyue Feng, Renchu Guan

CoRR, April, 2026

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

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

Proceedings of the ACM Web Conference 2026, 2026

2025

Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs.

Renchu Guan, Xuyang Li, Yachao Zhang, Wei Pang, Fausto Giunchiglia, Ximing Li, Yonghao Liu, Xiaoyue Feng

CoRR, November, 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

Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration.

Yonghao Liu, Yajun Wang, Chunli Guo, Wei Pang, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 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

Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling.

Xiaoyu Liu, Di Liang, Hongyu Shan, Peiyang Liu, Yonghao Liu, Muling Wu, Yuntao Li, Xianjie Wu, Li Miao, Jiangrong Shen, Minlong Peng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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