Shiguang Wu

According to our database, Shiguang Wu authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Searching to Modulate for Cold-Start Recommendation.

Shiguang Wu, Yaqing Wang, Quanming Yao

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

Self-Generative Adversarial Fine-Tuning for Large Language Models.

Shiguang Wu, Yaqing Wang, Quanming Yao

CoRR, February, 2026

2025

Asking LLMs to Verify First is Almost Free Lunch.

Shiguang Wu, Quanming Yao

CoRR, November, 2025

Dense Communication between Language Models.

Shiguang Wu, Yaqing Wang, Quanming Yao

CoRR, May, 2025

Why In-Context Learning Models are Good Few-Shot Learners?

Shiguang Wu, Yaqing Wang, Quanming Yao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning.

Shiguang Wu, Yaqing Wang, Yatao Bian, Quanming Yao

CoRR, 2024

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction.

Shiguang Wu, Yaqing Wang, Quanming Yao

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

ColdU: User Cold-start Recommendation with User-specific Modulation.

Daxiang Dong, Shiguang Wu, Yaqing Wang, Jingbo Zhou, Haifeng Wang

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2023

Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction.

Shiguang Wu, Yaqing Wang, Quanming Yao

CoRR, 2023

ColdNAS: Search to Modulate for User Cold-Start Recommendation.

Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao

Proceedings of the ACM Web Conference 2023, 2023