彭佩玺，助理教授，MGM美高梅研究领域为开放环境下的智能感知和决策，在IEEE TPAMI、IJCV等重要期刊和NeurIPS、CVPR等国际顶会上发表一作/通讯论文30余篇，承担了国家级和省部级等科研项目十余项，多项成果在军民重要场景下实现落地应用，获得了2022年中国电子学会科技进步奖一等奖、2023年广东省科技进步奖特等奖和2024年中国指挥与控制学会科技进步奖一等奖等奖励。

代表性论文：

1. Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Tiejun Huang: Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning. IEEE TPAMI 2018

2. Peixi Peng, Yonghong Tian, Yangru Huang, Xiangqian Wang, Huilong An: Discriminative Spatial Feature Learning for Person Re-Identification. ACM Multimedia 2020

3. Peixi Peng, Junliang Xing, Lili Cao: Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations. IJCAI 2020

4. Yangru Huang, Peixi Peng†, Yi Jin, Yidong Li, Junliang Xing: Domain Adaptive Attention Learning for Unsupervised Person Re-Identification. AAAI 2020

5. Peixi Peng, Junliang Xing, Lili Cao, Lisen Mu, Chang Huang: Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game. IJCAI 2019

6. Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian: Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. CVPR 2016

7. Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang: Joint Learning of Semantic and Latent Attributes. ECCV 2016

8. G Chen, P Peng, Xiangqian Wang, Y Tian*: Adversarial Reciprocal Points Learning for Open Set Recognition. IEEE TPAMI 2021

9. Yunpeng Zhai, Peixi Peng*, Mengxi Jia, Shiying Li, Weiqiang Chen, Xuesong Gao, Y Tian*: Population-Based Evolutionary Gaming for Unsupervised Person Re-identification. IJCV 2023

10. Liwen Zhu, Peixi Peng*, Zongqing Lu, Yonghong Tian*: MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. IEEE TKDE 2023

11. Ding Chen, Peixi Peng*, Tiejun Huang, Yonghong Tian*: Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning. IEEE TNNLS 2023

12. Guangyao Chen, Peixi Peng*, Yonghong Tian*: Adaptive Discovering and Merging for Incremental Novel Class Discovery. AAAI 2024

13. Haoran Xu, Peixi Peng*, Guang Tan, Yonghong Tian: DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning. CVPR 2024

14. Yangru Huang，Peixi Peng*，Yifan Zhao，Yunpeng Zhai，Haoran Xu，Yonghong Tian*: Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning. ICCV 2023

15. Yunpeng Zhai，Peixi Peng*，Yifan Zhao，Yangru Huang，Haoran Xu，Yonghong Tian*: Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation, ICCV 2023

16. Yunpeng Zhai, Peixi Peng*, Chen Su, Yonghong Tian: Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. IJCAI 2023

17. Yangru Huang, Peixi Peng*, Yifan Zhao, Guangyao Chen, Yonghong Tian*: Spectrum Random Masking for Generalization in Image-based Reinforcement Learning, NeurIPS 2022

18. G Chen, P Peng*, L Ma, J Li, L Du, Y Tian*: Amplitude-phase recombination: Rethinking robustness of convolutional neural networks in frequency domain. ICCV 2021

19. Mengyue Geng, Peixi Peng*, Yangru Huang, Yonghong Tian*: Masked Face Recognition with Generative Data Augmentation and Domain Constrained Ranking. ACM Multimedia 2020

20. Feifei Ding, Peixi Peng*, Yangru Huang, Mengyue Geng, Yonghong Tian*: Masked Face Recognition with Latent Part Detection. ACM Multimedia 2020

     

    代表性项目：

• 国家自然科学基金青年项目，多摄像头监控网络下行人检测与身份再标识，负责人

• 国家自然科学基金面上项目, 面向事件数据的脉冲强化学习MGM美高梅研究，负责人

• 广东省重点领域研发计划，“超大规模AI算力驱动的非完全信息博弈决策关键技术研发及应用”项目，“博弈决策智能体自主学习进化关键技术”课题，负责人

• ***项目，“***群体强化博弈”，负责人

• ***项目，“***群体进化博弈”，负责人

   

   

  欢迎报考，希望你：

• 有扎实的数学基础和编程能力

• 能够深入分析问题，勇于提出观点，行动力强

• 对科研抱有极大的热情、自我驱动力强

• 不屈不挠、戒骄戒躁，对人生自信、对现状谨慎