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2020 – today
- 2025
[c2]Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su:
DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. ICLR 2025- [i4]Xinyu Tang, Zhenduo Zhang, Yurou Liu, Wayne Xin Zhao, Zujie Wen, Zhiqiang Zhang, Jun Zhou:
Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward. CoRR abs/2509.01321 (2025) - [i3]Zhiyuan Huang, Jiahao Chen, Yurou Liu, Bing Su:
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios. CoRR abs/2509.09926 (2025) - [i2]Xixian Liu, Rui Jiao, Zhiyuan Liu, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao:
Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling. CoRR abs/2510.22123 (2025) - 2023
- [i1]Jiahao Chen, Yurou Liu, Jiangmeng Li, Bing Su, Jirong Wen:
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. CoRR abs/2305.12618 (2023) - 2022
- [c1]Haonian Wang
, Xinyu Tang, Yurou Liu, Zhichun Wang:
Extracting ISA Relations of Concepts from Books via Weakly Supervised Learning. IJCKG 2022: 91-98
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