罗红晨
副教授
教育经历
2019.9-2024.6 中国科学技术大学信息科学技术学院博士控制科学与工程
2015.9-2019.6 中国科学技术大学少年班学院本科自动化系
工作经历
2024.7-至今 东北大学信息科学与工程学院
研究方向
计算机视觉；具身智能；技能学习；可供性感知；手-物交互；缺陷检测。
招收博士/硕士方向
基本要求：身心健康、积极向上，有志于在未来从事人工智能大方向学术研究的学生，尤其侧重于计算机视觉、具身智能领域。有较强的英文阅读和写作能力，具有较强的动手能力和上进心。
培养模式：
1) 根据需求每两周开一次组会，讨论工作以及最新科研进展，提供必要的科研指导。
2) 手把手指导完成早期的工作, 包括写作、画图等。
3) 提供相对灵活自由的研究空间，对于有特别感兴趣的研究方向可以参与讨论，并尽可能支持推进。
招收专业：自动化、计算机、电子信息相关专业
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学术成果
[1] Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao. One-shot Affordance Detection [C]. International Joint Conference on Artificial Intelligence (IJCAI),2021.
[2] Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao. Learning Affordance Grounding from Exocentric Images [C]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022: 2252-2261.
[3] Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao. Leverage Interactive Affinity for Affordance Learning [C]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023: 6809-6819.
[4] Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao. Grounded Affordance from Exocentric View [J]. International Journal of Computer Vision (IJCV), 2023: 1-25.
[5] Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao. Learning Visual Affordance Grounding from Demonstration Videos [J]. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2023.
[6] Wei Zhai, Hongchen Luo, Jing Zhang, Yang Cao, Dacheng Tao. One-shot Object Affordance Detection in the Wild [J]. International Journal of Computer Vision (IJCV), 2022, 130(10): 2472-2500.
[7] Huilin Deng, Hongchen Luo, Wei Zhai, Yang Cao, Yu Kang. Prioritized Local Matching Network for Cross-Category Few-Shot Anomaly Detection [J]. IEEE Transactions on Artificial Intelligence (T-AI), 2024.
[8] Zichen Zhang, Hongchen Luo, Wei Zhai, Yang Cao, Yu Kang. Bidirectional Progressive Transformer for Interaction Intention Anticipation [C]. European Conference onComputer Vision (ECCV), 2024.
[9] Yuhang Yang, Wei Zhai, Hongchen Luo, Yang Cao, Jiebo Luo, Zheng-Jun Zha. Grounding 3D Object Affordance from 2d Interactions in Images[C]. IEEE/CVF International Conference on Computer Vision (ICCV). 2023: 10905-10915.
[10] Yuhang Yang, Wei Zhai, Hongchen Luo, Yang Cao, Zheng-Jun Zha. LEMON: Learning 3D Human-Object Interaction Relation from 2D Images [C]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024: 16284-16295.
[11] Liangsheng Lu, Wei Zhai, Hongchen Luo, Yu Kang, Yang Cao. Phrase-based Affordance Detection via Cyclic Bilateral Interaction [J]. IEEE Transactions on Artificial Intelligence (T-AI), 2022, 4(5): 1186-1198.
[12] Zichen Zhang, Hongchen Luo, Wei Zhai, Yang Cao, Yu Kang.Pear: Phrase-based hand-object interaction anticipation[J]. Science China Information Sciences, 2025, 68(5): 1-20.
[13] Huilin Deng, Hongchen Luo, Wei Zhai, Yang Cao, Yu Kang. VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection [J]. IEEE Transactions on Automation Science and Engineering (T-ASE).
[14] Longyue Fu, Jiao Wang, Hongchen Luo.Multi-agent Reinforcement Learning for Cooperative Search under Aperiodically Intermittent Communication [J]. Expert Systems with Applications, 2025, 280: 127526.
[15] Zhifen Guo, Jiao Wang, Hongchen Luo, Fengbin Ma, Yiying Zhang. Temporal-spectral-spatial Synchronization Attention-based Network for EEG Emotion Recognition[J]. Knowledge-Based Systems, 2025: 113762.
[16] Yawen Shao, Wei Zhai, Yuhang Yang, Hongchen Luo, Yang Cao, and Zheng-Jun Zha. Great: Geometry-intention Collaborative Inference for Open-Vocabulary 3d Object Affordance Grounding [C]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025: 17326-17336.
谷歌学术：https://scholar.google.com/citations?hl=en&user=FnQQTeoAAAAJ
学术兼职
担任CVPR、ICCV、ECCV、MM、NeurIPS、T-NNLS、T-ASE、AAAI、ACCV审稿人
联系方式
