Jie Zeng

According to our database, Jie Zeng authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

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

Qingyu Ren, Qianyu He, Bowei Zhang, Jie Zeng, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu

CoRR, August, 2025

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

Jie Zeng, Qianyu He, Qingyu Ren, Jiaqing Liang, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao

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

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

Qingyu Ren, Jie Zeng, Qianyu He, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu

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

2024

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

Qiankun Ma, Jie Zeng, Jianjia Zhang, Chen Zu, Xi Wu, Jiliu Zhou, Jie Chen, Yan Wang

Pattern Recognit., 2024

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

Qianyu He, Jie Zeng, Qianxi He, Jiaqing Liang, Yanghua Xiao

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

Can Large Language Models Understand Real-World Complex Instructions?

Qianyu He, Jie Zeng, Wenhao Huang, Lina Chen, Jin Xiao, Qianxi He, Xunzhe Zhou, Jiaqing Liang, Yanghua Xiao

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

2023

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

Lu Wen, Jianghong Xiao, Jie Zeng, Chen Zu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang

Pattern Recognit., September, 2023

Can Large Language Models Understand Real-World Complex Instructions?

Qianyu He, Jie Zeng, Wenhao Huang, Lina Chen, Jin Xiao, Qianxi He, Xunzhe Zhou, Lida Chen, Xintao Wang, Yuncheng Huang, Haoning Ye, Zihan Li, Shisong Chen, Yikai Zhang, Zhouhong Gu, Jiaqing Liang, Yanghua Xiao

CoRR, 2023

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

Jie Zeng, Zeyu Han, Xingchen Peng, Jianghong Xiao, Peng Wang, Yan Wang

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

2022

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

Huidong Li, Xingchen Peng, Jie Zeng, Jianghong Xiao, Dong Nie, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

Knowl. Based Syst., 2022

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

Jie Zeng, Chongyang Cao, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

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