• 2023 - 2024 实习生 腾讯
  • 2023 访问学生 南洋理工大学(新加坡) SCE
  • 2020 - 博士研究生 武汉大学 遥感信息工程学院
  • 2022 实习生 腾讯
  • 2019 - 2020 研究员 腾讯
  • 2018 实习生 腾讯
  • 2016 - 2019 硕士研究生 武汉大学 遥感信息工程学院
  • 2012 - 2016 本科生 武汉大学 电子信息学院
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朱晗 博士研究生

奖项荣誉

论文

  • Ziyu Liu, Han Zhu and Zhenzhong Chen: Adversarial Spectral Super-Resolution for Multispectral Imagery Using Spatial Spectral Feature Attention Module. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.
  • Yuantong Zhang, Huairui Wang, Han Zhu and Zhenzhong Chen: Optical Flow Reuse for High-Efficiency Space- Time Video Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology, 2022.
  • Han Zhu, Xiaozhong Xu, and Shan Liu: Residual convolutional neural network based in-loop filter with intra and inter frames processed respectively for avs3. 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2020
  • Zhenzhong Chen, Han Zhu: Visual Quality Evaluation for Semantic Segmentation: Subjective Assessment Database and Objective Assessment Measure. IEEE Trans. Image Processing 28(12): 5785-5796 (2019)
  • Zhenzhong Chen, Yiming Li, Feiyang Liu, Zizheng Liu, Xiang Pan, Wanjie Sun, Yingbin Wang, Yan Zhou, Han Zhu, Shan Liu: CNN-Optimized Image Compression with Uncertainty based Resource Allocation. CVPR Workshops 2018: 2559-2562
  • Yingbin Wang, Han Zhu, Yiming Li, Zhenzhong Chen, Shan Liu: Dense Residual Convolutional Neural Network based In-Loop Filter for HEVC. VCIP 2018: 1-4
  • 全部论文

标准提案

  • ISO/IEC JTC 1/SC29/WG1 M96051, ”Learning-based Image Compression Response to the JPEG AI Call for Proposals”, Ding Ding, Xiaozhong Xu, Shan Liu, Han Zhu, Yuantong Zhang, Huairui Wang, Zhenzhong Chen, Online, Jul. 2022.
  • ISO/IEC JTC 1/SC29/WG1 M96050, ”Task-driven end-to-end image compression Response to the JPEG AI Call for Proposals”, Ding Ding, Xiaozhong Xu, Shan Liu, Han Zhu, Yuantong Zhang, Huairui Wang, Zhenzhong Chen, Online, Jul. 2022.
  • VC-38-M344, ”Subjective quality assessment results of CfP”, Han Zhu, Chenxi Jiang, Junxi Zhang, Zhenzhong Chen, Online, Jun. 2022.
  • VC-38-M326, ”Response to the Call for Proposals on Neural Network-Based Image Coding by Team DwOTeo”, Haichuan Ma, Cunhui Dong, Huairui Wang, Haotian Zhang, Zhe Zhang, Han Zhu, Ding Ding, Li Li, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Dong Liu, Online, Jun. 2022.
  • VC-37-M321, ”Draft of the subjective quality assessment test”, Han Zhu, Chenxi Jiang, Zhe Zhang, Yingxue Zhang, Zhenzhong Chen, Online, Mar. 2022.
  • VC-35-M303, ”EE6: Subjective quality assessment of NIC-0.2”, Han Zhu, Aolin Feng, Huairui Wang, Guangjie Ren, Jiayi Xie, Yingxue Zhang, Zhenzhong Chen, Online, Aug. 2021
  • VC-34-M294, ”EE2 Proposal: Exploration of joint loss function”, Han Zhu, Huairui Wang, Feiyang Liu, Zhen- zhong Chen, Hainan, June, 2021
  • JVET-AC0114, ”AHG11: Deep Reference Frame Generation for Inter Prediction Enhancement”, Jianghao Jia, Yuantong Zhang, Han Zhu, Zhenzhong Chen, Zizheng Liu, Xiaozhong Xu, Shan Liu, Jan. 2023, Teleconference.
  • JVET-AB0114, ”AHG11: Deep Reference Frame Generation for Inter Prediction Enhancement”, Jianghao Jia, Yuantong Zhang, Han Zhu, Zhenzhong Chen, Zizheng Liu, Liqiang Wang, Xiaozhong Xu, Shan Liu, Oct. 2022,Mainz.
  • JVET-Y0081,”AHG11:Transformerbasedin-loopfiltering”,TongOuyang,HuairuiWang,HanZhu,Zhenzhong Chen, teleconference, Jan. 2022
  • JVET-U0074, ”EE: SSIM based CNN model for in-loop filtering”, Tong Ouyang, Han Zhu, Zhenzhong Chen, Xiaozhong Xu, Shan Liu, teleconference, 6-15 Jan. 2021.
  • JVET-T0069, ”AHG 11: SSIM based CNN model for in-loop filtering”, Tong Ouyang, Feiyang Liu, Han Zhu, Zhenzhong Chen, Xiaozhong Xu, Shan Liu, teleconference, Oct. 2020.
  • AVS-M7511, “点云在主观实验中点密度和显示设备分辨率相关标准化建议”, 徐异凌, 刘逸鹏, 朱晗, 陈震中, 杨琦, 许晓中, 刘杉, 电话会议, Dec. 2022
  • AVS-M7194, “基于注意力机制的视频质量无参考客观评价模型”, 尚焱, 朱晗, 陈震中, 电话会议, Jun. 2022.
  • AVS-M5654, “添加QP和残差分布信息的深度学习环路滤波工具”, 朱晗, 许晓中, 刘杉, 电话会议, Aug. 2020.
  • AVS-M5388, “基于深度学习的环路滤波工具复杂度优化”, 朱晗, 许晓中, 刘杉, 电话会议, Jun. 2020.
  • AVS-M5387, “添加QP信息的深度学习环路滤波工具”, 朱晗, 许晓中, 刘杉, 电话会议, Jun. 2020.
  • AVS-M5181,“基于深度学习的I帧与非I帧分开处理的环路滤波工具”,朱晗,许晓中,刘杉,电话会议,Mar. 2020.
  • AVS-M5127, “CE: 基于深度学习网络的环路滤波”, 朱晗, Xiaozhong Xu, Shan Liu, Online, Jan. 2020.
  • AVS-M5069, “关于基于深度学习滤波工具核心实验的建议”, 朱晗, 许晓中, 刘杉, 深圳, Dec. 2019.
  • AVS-M5030, “CE-基于密集残差卷积神经网络的环路滤波”, 欧阳彤, 柳费洋, 朱晗, 王英彬, 刘子政, 陈震中, Shan Liu, 深圳, Dec. 2019.
  • AVS-M4932, “基于深度稠密残差网络的环路滤波”, 朱晗, 许晓中, 王英彬, 刘杉, 深圳, Dec. 2019.
  • AVS-M4929, “EE1.1: 基于轻量级卷积神经网络的环路滤波”, 朱晗, 柳费洋, 陈震中, 王英彬, Shan Liu, 海口, Aug. 2019.
  • AVS-M4884, “基于密集残差卷积神经网络的环路滤波”, 欧阳彤, 柳费洋, 朱晗, 王英彬, 刘子政, 陈震中, Shan Liu, 海口, Aug. 2019.
  • AVS-M4826, “基于轻量级卷积神经网络的环路滤波”,朱晗, 柳费洋, 陈震中, YingbinWang, Shan Liu, 成都,Jun. 2019.
  • AVS-M4551,“帧内角度模式扩展及基于非正方形划分的动态帧内角度方向调整”,李一鸣,朱晗,王英彬, 陈震中, Xiaozhong Xu, Shan Liu, Liang Zhao, Xin Zhao, 厦门, Dec. 2018.
  • m60925, ”[VCM] Response to VCM Call for Evidence from Tencent and Wuhan University - a Learning-based Feature Compression Framework”, Yong Zhang, Zizheng Liu, Han Zhu, Xiaozhong Xu, Shan Liu, Junxi Zhang, Jianghao Jia, Zhenzhong Chen, Oct. 2022, Teleconference.
  • m60780,”[VCM] Response to VCM Call for Proposals from Tencent and Wuhan University - an ECM based solution”, Zizheng Liu, Yong Zhang, Roman Chernyak, Han Zhu, Xiaozhong Xu, Shan Liu, Jianghao Jia, Zhenzhong Chen, Oct. 2022, Teleconference.