Nianzu Yang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Unsupervised Learning

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Top Venues

Publications

Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. ICLR (2024)
Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. ICLR (2024)
Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. CoRR (2024)
Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning. CoRR (2023)
Nianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan
MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning. WWW (2023)
Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan
Learning Substructure Invariance for Out-of-Distribution Molecular Representations. NeurIPS (2022)
Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. CoRR (2022)
Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song
Molecule Generation for Drug Design: a Graph Learning Perspective. CoRR (2022)
Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. ICML (2021)