Papers by Junjie Sheng
Agentic Episodic Control (2026.findings-acl)
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| Challenge: | Existing methods for reinforcement learning (RL) are limited by poor data efficiency and weak generalization. |
| Approach: | They propose a novel architecture that integrates large language models into episodic RL. |
| Outcome: | The proposed architecture achieves 2–6 higher data efficiency than baselines and is the only method to solve complex tasks like UnlockLocal with over 90% success. |
Towards Scalable Lightweight GUI Agents via Multi-role Orchestration (2026.findings-acl)
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Ziwei Wang, Junjie Zheng, Leyang Yang, Sheng Zhou, Xiaoxuan Tang, Fang Zhouhua, Zhiwei Liu, Dajun Chen, Yong Li, Jiajun Bu
| Challenge: | Advanced GUI agents suffer from prohibitive deployment costs on resource-constrained devices. |
| Approach: | They propose a lightweight GUI agent with GUI-specific knowledge and task scalability . LAMO-3B supports monolithic execution and MAS-style orchestration . |
| Outcome: | The proposed GUI agent LAMO-3B supports monolithic execution and MAS-style orchestration. |