Jie Zeng

Affiliations:

Fudan University, School of Computer Science, Shanghai Key Laboratory of Data Science, Shanghai, China
Sichuan University, School of Computer Science, Chengdu, China

According to our database¹, Jie Zeng authored at least 12 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of five.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following.

[BibT_eX]

[DOI]

CoRR, October, 2025

Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following.

[BibT_eX]

[DOI]

CoRR, August, 2025

Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Source-free domain adaptation via dynamic pseudo labeling and Self-supervision.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Can Large Language Models Understand Real-World Complex Instructions?

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-level progressive transfer learning for cervical cancer dose prediction.

[BibT_eX]

[DOI]

Pattern Recognit., September, 2023

Can Large Language Models Understand Real-World Complex Instructions?

[BibT_eX]

[DOI]

CoRR, 2023

Polymerized Feature-Based Domain Adaptation for Cervical Cancer Dose Map Prediction.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Jie Zeng

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...