Jing-Cheng Pang

Researcher, Huawei Technologies Ltd.

Joined

May 2021

Names

Jing-Cheng Pang (Preferred)

Jingcheng Pang

Emails

****@lamda.nju.edu.cn (Confirmed)

****@huawei.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Huawei Technologies Ltd. (huawei.com)

2025 – Present

PhD student

Nanjing University (nju.edu.cn)

2021 – 2025

MS student

Nanjing University (nju.edu.cn)

2019 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Yang Yu

2019 – 2025

Expertise

Large language model

2022 – Present

Robotics manipulation

2022 – Present

Reinforcement learning

2019 – Present

Publications

WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making
Zhilong Zhang, Ruifeng Chen, Junyin Ye, Yihao Sun, Haoxiang Ren, Xinghao Du, Pengyuan Wang, Jing-Cheng Pang, Kaiyuan Li, Tian-Shuo Liu, Haoxin Lin, Yang Yu, Zhi-Hua Zhou
- NeurIPS 2025 Workshop EWM
- Readers: Everyone
ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation
Nan Tang, Jing-Cheng Pang, Guanlin Li, Chao Qian, Yang Yu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
EDCO: Dynamic Curriculum Orchestration for Domain-specific Large Language Model Fine-tuning
Jing-Cheng Pang, Sun Liu, Zhouchang, txan, Mahaichuan, KUN JIANG, Jianlong Wang, Kai Zhang, Sijie Wu, Haoran Cai, Chenwei Wu, Xubin Li, Xin Chen
- Submitted to ICLR 2026
- Readers: Everyone
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts
Jing-Cheng Pang, Kaiyuan Li, Yidi Wang, Si-Hang Yang, Shengyi Jiang, Yang Yu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Interactive Large Language Models for Reliable Answering under Incomplete Context
Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jia-Hao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Ming-Kun Xie, Xiang Chen, Sheng-Jun Huang, Yang Yu
- Accepted by TMLR
- Readers: Everyone
Whale-X: Learning Scalable Embodied World Models with Enhanced Generalizability
Zhilong Zhang, Ruifeng Chen, Junyin Ye, Yihao Sun, Pengyuan Wang, Jing-Cheng Pang, Kaiyuan Li, Tian-Shuo Liu, Haoxin Lin, Yang Yu
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning
Yuting Tang, Xin-Qiang Cai, Jing-Cheng Pang, Qiyu Wu, Yao-Xiang Ding, Masashi Sugiyama
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Learning View-invariant World Models for Visual Robotic Manipulation
Jing-Cheng Pang, Nan Tang, Kaiyuan Li, Yuting Tang, Xin-Qiang Cai, Zhen-Yu Zhang, Gang Niu, Masashi Sugiyama, Yang Yu
- ICLR 2025 Poster
- Readers: Everyone
Model gradient: unified model and policy learning in model-based reinforcement learning
Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu
- Published: 01 Jan 2024, Last Modified: 21 Feb 2024
- Frontiers Comput. Sci. 2024
- Readers: Everyone
KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Jiaji Zhang, Xiong-Hui Chen, Nan Tang, Yang Yu
- NeurIPS 2024 poster
- Readers: Everyone

View all 26 publications

Co-Authors

View all 61 co-authors