彭佩玺

职称:助理教授
电话:
办公室:A301
Email:pxpeng@imarlab.com
美高梅登录网站:
MGM美高梅研究方向:开放环境下的智能感知和决策
职称 助理教授 电话
办公室 A301 Email pxpeng@imarlab.com
MGM美高梅研究方向 开放环境下的智能感知和决策 美高梅登录网站

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

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