Xiang Zhuang

Orcid: 0000-0002-0253-1476

According to our database1, Xiang Zhuang authored at least 13 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models.
CoRR, 2024

Scientific Large Language Models: A Survey on Biological & Chemical Domains.
CoRR, 2024

StableMask: Refining Causal Masking in Decoder-only Transformer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Knowledge-aware Reinforced Language Models for Protein Directed Evolution.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

InstructProtein: Aligning Human and Protein Language via Knowledge Instruction.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Enhancing Cross Text-Molecule Learning by Self-Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Knowledge graph-enhanced molecular contrastive learning with functional prompt.
Nat. Mac. Intell., May, 2023

Benchmarking knowledge-driven zero-shot learning.
J. Web Semant., 2023

Learning Invariant Molecular Representation in Latent Discrete Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Sampling-based Meta-Learning for Molecular Property Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Molecular Contrastive Learning with Chemical Element Knowledge Graph.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Knowledge-aware Contrastive Molecular Graph Learning.
CoRR, 2021

2009
Study and Application of Stock Robot Kaburobo Based on Artificial Intelligence.
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009


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