近年来，研究聚焦于利用大语言模型（LLM）提升人工智能系统的自动化与智能化水平。在强化学习领域，针对传统奖励函数设计高度依赖专家经验且试错成本高的问题，探索利用LLM进行自动化奖励建模，通过代码生成与迭代优化机制，构建具有更强上下文理解能力的复杂奖励函数，从而提升策略学习效率与性能。
此外，研究还拓展至计算机视觉与不确定性建模方向：在视觉任务中，基于扩散模型的交互式图像抠图方法通过模型结构迁移提升了精细建模能力；在安全性方面，引入Dempster-Shafer证据理论，通过证据一致性分析实现对抗样本的检测与防御。
1. 主持上海大学"青年英才启航计划"（已结项）。
1. 第三届上海大学教学创新大赛中级及以下组：优胜奖
1. 面向对象编程与设计（Programming and Object-Oriented Conception）
2. 机器学习（Machine Learning）
3. 数据工程（Data Engineering）
4. 基础模型理论与应用（Theory and Application of Foundation Models）
1. Chen, Lunde; Abdellatif, Slim; Berthou, Pascal; Nougnanke, Kokouvi Benoit; Gayraud, Thierry. "A generic and configurable topology discovery service for software defined wireless multi-hop network." Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access, 2017: 101-104.
2. Li, Huan; Chen, Lunde. "RSSI-aware energy saving for large file downloading on smartphones." IEEE Embedded Systems Letters 7.2 (2015): 63-66.
3. Chen, Lunde; Abdellatif, Slim; Simo, Armel Francklin; Gayraud, Thierry. "Virtual link embedding in software-defined multi-radio multi-channel multi-hop wireless networks." Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 2018: 163-172.
4. Chen, Lunde; Abdellatif, Slim; Gayraud, Thierry; Berthou, Pascal. "A Steiner tree based approach for the efficient support of multipoint communications in a multi-domain context." 2017 IEEE symposium on computers and communications (ISCC), 2017: 316-321.
5. Chen, Lunde; Abdellatif, Slim; Tegueu, Armel Francklin Simo; Gayraud, Thierry. "Embedding and re-embedding of virtual links in software-defined multi-radio multi-channel multi-hop wireless networks." Computer Communications 145 (2019): 161-175.
6. Chen, Lunde; Abdellatif, Slim; Chakroun, Raoua. "Point-to-multipoint Virtual Link Embedding in Multi-domain SDN Networks." 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2019: 1-6.
7. Dong, Lele; Chen, Lunde; Kong, Suyao; Gu, Siyuan; Liu, Wanyu; Du, Shuimiao. "Set-valued medical image classification with evidential CNN: a first test with Covid-19 dataset." 2022 16th IEEE International Conference on Signal Processing (ICSP) 1 (2022): 463-467.
8. Tan, Xiaodong; Du, Jinxin; Chen, Lunde; Liu, Wanyu. "A Novel Deep Q-Network-Based Scheme for Online Virtual Link Embedding in Software Defined Networks." 2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), 2023: 516-522.
9. Wu, Licheng; Xu, Yue; Dai, Zhicheng; Wang, Rui; Chen, Lunde. "Intrusion detection with set-valued classification: Leveraging dempster-shafer theory and deep learning." 2023 9th International Conference on Computer and Communications (ICCC), 2023: 2155-2161.
10. Gu, Siyuan; Dai, Zhicheng; Wu, Licheng; Liu, Wanyu; Chen, Lunde. "Dempster-Shafer theory empowered deep learning for enhanced 3D PET-CT medical image segmentation: a first test on automated lesion segmentation in whole-body dataset." 2024 4th International Conference on Neural Networks, Information and Communication Engineering (NNICE), 2024: 350-354.
11. Gan, Yucheng; Dai, Zhicheng; Wu, Licheng; Liu, Wanyu; Chen, Lunde. "Deep Reinforcement Learning and Dempster-Shafer Theory: A Unified Approach to Imbalanced Classification." 2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI), 2023: 67-72.
12. Zhu, Xinning; Du, Jinxin; Fu, Qiongying; Chen, Lunde. "LLM-Based Reward Engineering for Reinforcement Learning: A Chain of Thought Approach." 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), 2025: 222-227.
13. Huang, Longfei; Liang, Yu; Zhang, Hao; Chen, Jinwei; Dong, Wei; Chen, Lunde; Liu, Wanyu; Li, Bo; Jiang, Peng-Tao. "Sdmatte: Grafting diffusion models for interactive matting." Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025: 15229-15239.
14. Xu, Yue; Qiu, Yibo; Huang, Ling; Wang, Rui; Chen, Lunde; Zhou, Jiwen; Liu, Wanyu. "Adversarial example detection and defense based on the evidence consistency from Dempster-Shafer layers." Knowledge-Based Systems (2025): 114937.
15. Huang, Longfei; Liang, Yu; Zhang, Hao; Zhu, Xinning; Chen, Lunde. "Diffusion for automatic matting." Neurocomputing (2026): 133344.
