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2020 – today
- 2025
[i5]Deyu Zou, Yongqiang Chen, Mufei Li, Siqi Miao, Chenxi Liu, Bo Han, James Cheng, Pan Li:
Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation. CoRR abs/2506.22518 (2025)- [i4]Shikun Liu, Deyu Zou, Nima Shoghi, Victor Fung, Kai Liu, Pan Li:
RoFt-Mol: Benchmarking Robust Fine-Tuning with Molecular Graph Foundation Models. CoRR abs/2509.00614 (2025) - [i3]Deyu Zou, Yongqiang Chen, Jianxiang Wang, Haochen Yang, Mufei Li, James Cheng, Pan Li, Yu Gong:
T3: Reducing Belief Deviation in Reinforcement Learning for Active Reasoning. CoRR abs/2510.12264 (2025) - 2024
- [c2]Shikun Liu, Deyu Zou, Han Zhao, Pan Li:
Pairwise Alignment Improves Graph Domain Adaptation. ICML 2024 - [c1]Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li:
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts. NeurIPS 2024 - [i2]Shikun Liu, Deyu Zou, Han Zhao, Pan Li:
Pairwise Alignment Improves Graph Domain Adaptation. CoRR abs/2403.01092 (2024) - 2023
- [i1]Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li:
GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts. CoRR abs/2310.08677 (2023)
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