Yizhen Zheng

Orcid: 0000-0002-3540-8845

According to our database¹, Yizhen Zheng authored at least 36 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation.

[BibT_eX]

[DOI]

CoRR, May, 2026

When Molecular Similarity Works: Property Cliffs Reveal Hidden Errors.

[BibT_eX]

[DOI]

CoRR, May, 2026

Rethinking Molecular OOD Generalization via Target-Aware Source Selection.

[BibT_eX]

[DOI]

CoRR, May, 2026

From Single-Step Edit Response to Multi-Step Molecular Optimization.

[BibT_eX]

[DOI]

CoRR, May, 2026

A Vision-Language Foundation Model for Zero-shot Clinical Collaboration and Automated Concept Discovery in Dermatology.

[BibT_eX]

[DOI]

CoRR, February, 2026

2025

A Novel Differential Feature Learning for Effective Hallucination Detection and Classification.

[BibT_eX]

[DOI]

Wenkai Wang

Vincent Lee

Yizhen Zheng

CoRR, September, 2025

M<sup>2</sup>LLM: Multi-view Molecular Representation Learning with Large Language Models.

[BibT_eX]

[DOI]

CoRR, August, 2025

Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization.

[BibT_eX]

[DOI]

CoRR, March, 2025

Large language models for drug discovery and development.

[BibT_eX]

[DOI]

Patterns, 2025

Large language models for scientific discovery in molecular property prediction.

[BibT_eX]

[DOI]

Nat. Mac. Intell., 2025

Planning scheme of artificial assembly posture and arm movement path in narrow space.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

Uni-MRL: Unified MultiModal Molecular Representation Learning with Large Language Models and Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

M^2LLM: Multi-view Molecular Representation Learning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Contrastive Graph Similarity Networks.

[BibT_eX]

[DOI]

ACM Trans. Web, May, 2024

Improving Augmentation Consistency for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2024

Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective.

[BibT_eX]

[DOI]

Inf. Sci., February, 2024

Integrating Graphs With Large Language Models: Methods and Prospects.

[BibT_eX]

[DOI]

Shirui Pan

Yizhen Zheng

Yixin Liu

IEEE Intell. Syst., 2024

Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials.

[BibT_eX]

[DOI]

CoRR, 2024

A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

A survey on fairness-aware recommender systems.

[BibT_eX]

[DOI]

Inf. Fusion, December, 2023

Large Language Models for Scientific Synthesis, Inference and Explanation.

[BibT_eX]

[DOI]

CoRR, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs.

[BibT_eX]

[DOI]

Yizhen Zheng

He Zhang

Vincent Cheng-Siong Lee

Yu Zheng

Xiao Wang

Shirui Pan

Proceedings of the International Conference on Machine Learning, 2023

PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Unifying Graph Contrastive Learning with Flexible Contextual Scopes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming.

[BibT_eX]

[DOI]

CoRR, 2021

Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Yizhen Zheng

Timeline

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On csauthors.net:

Bibliography

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