Renjie Ding

Undergrad student, LongShine

Joined

May 2025

Names

Renjie Ding (Preferred)

Emails

****@longshine.com (Confirmed)

****@163.com

Personal Links

ORCID

Career & Education History

Undergrad student

LongShine (longshine.com)

2020 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling
Jianghao Lin, Yuanyuan Shi, Xin Peng, Renjie Ding, Hairui Wang, Yuxuan Peng, Bizhe Bai, Weixi Song, Fengshuo Bai, Huacan Chai, Weinan Zhang, Fei Huang, Ying Wen
- CoRR 2025
- Readers: Everyone
Progra: Progress-Aware Reinforcement Learning for Multi-Turn Function Calling
Huacan Chai, Zijie Cao, Maolin Ran, Yingxuan Yang, Jianghao Lin, pengxin, HairuiWang, Renjie Ding, Ziyu Wan, Muning Wen, Weiwen Liu, Weinan Zhang, fei huang, Ying Wen
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
PARL-MT: Learning to Call Functions in Multi-Turn Conversation with Progress Awareness
Huacan Chai, Zijie Cao, Maolin Ran, Yingxuan Yang, Jianghao Lin, Xin Peng, Hairui Wang, Renjie Ding, Ziyu Wan, Muning Wen, Weiwen Liu, Weinan Zhang, Fei Huang, Ying Wen
- CoRR 2025
- Readers: Everyone
Enhancing Representation of Deep Features for Sensor-Based Activity Recognition
Xue Li, Lanshun Nie, Xiandong Si, Renjie Ding, De-chen Zhan
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- Mob. Networks Appl. 2021
- Readers: Everyone
Empirical Study and Improvement on Deep Transfer Learning for Human Activity Recognition
Renjie Ding, Xue Li, Lanshun Nie, Jiazhen Li, Xiandong Si, Dianhui Chu, Guozhong Liu, De-chen Zhan
- Published: 01 Jan 2019, Last Modified: 12 May 2023
- Sensors 2019
- Readers: Everyone
Understanding and Improving Deep Neural Network for Activity Recognition
Xue Li, Xiandong Si, Lanshun Nie, Jiazhen Li, Renjie Ding, De-chen Zhan, Dianhui Chu
- Published: 01 Jan 2018, Last Modified: 12 May 2023
- CoRR 2018
- Readers: Everyone

Co-Authors

View all 28 co-authors

Renjie Ding

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling

Progra: Progress-Aware Reinforcement Learning for Multi-Turn Function Calling

PARL-MT: Learning to Call Functions in Multi-Turn Conversation with Progress Awareness

Enhancing Representation of Deep Features for Sensor-Based Activity Recognition

Empirical Study and Improvement on Deep Transfer Learning for Human Activity Recognition

Understanding and Improving Deep Neural Network for Activity Recognition

Co-Authors