部分期刊论文

1.       Yuanyuan Xu, Kun Zhu*, Hu Xu, and Jiequ Ji, “Deep Reinforcement Learning for Multi-Objective Resource Allocation in Multi-Platoon Cooperative Vehicular Networks”, IEEE Trans. on Wireless Communications, vol. 22, no. 9, pp. 6185-6198, Sept. 2023. (CCF B，IF 8.346，中科院1区)

2.       Taoyu Yang, Zengjie Tan, Yuanyuan Xu*, and Shuwen Cai, “Collaborative Edge Caching and Transcoding for 360-Degree Video Streaming Based on Deep Reinforcement Learning”, IEEE Internet of Things Journal, vol. 9, no. 24, pp. 25551-25564, 15 Dec. 2022, doi: 10.1109/JIOT.2022.3197798. (IF 10.238)

3.       Kun Zhu, Yuanyuan Xu*, Jun Qian, and Dusit Niyato, “Revenue Optimal Auction For Resource Allocation in Wireless Virtualization: A Deep Learning Approach, IEEE Trans. on Mobile Computing, vol. 21, no. 4, pp. 1374-1387, 1 April 2022. (CCF A，IF 5.112，中科院2区).

4.       Kun Zhu, Lujiu Li, Yuanyuan Xu*, Tong Zhang, Lu Zhou, “Multi-Connection Based Scalable Video Streaming in UDNs: A Multi-Agent Multi-Armed Bandit Approach”, IEEE Trans. on Wireless Communications, vol. 21, no. 2, pp. 1156-1169, Feb. 2022. (CCF B，IF 6.779，中科院1区)

5.       Xiang Zhang*, Ce Zhu, Honggang Wu, Zhi Liu, and Yuangyuan Xu, “An imbalance compensation framework for background subtraction”, IEEE Tran. on Multimedia, vol. 19, no. 11. pp. 2425-2438, Nov. 2017. (CCF-B，中信所二区，JCR一区)

6.       Yuanyuan Xu, Ce Zhu*, “End-to-End Rate-Distortion Optimized Description Generation for H.264 Multiple Description Video Coding”, IEEE Trans. on Circuits and Systems for Video Technology, vol.23, no.9, pp.1523-1536, Sept. 2013. (CCF-B, 中信所一区，JCR一区)

部分会议论文

1.       Xi Gu, Yuanyuan Xu*, Kun Zhu, “Semantic Importance-Based Deep Image Compression Using A Generative Approach, in Proc. of 30th International Conference on Multimedia Modeling (MMM), Jan. 29-Feb.2, 2024, Amsterdam, Netherlands.

2.       Hui Chen, Yuanyuan Xu*, “Video Coding for Machines Based on Motion Assisted Saliency Analysis”, in Proc. of International Conference on Image and Graphics (ICIG 2023), Sept. 22-24. 2023, Nanjing, China.

3.       Yuanyuan Xu*, Haolun Lan, “Image Compression for Machines Using Boundary-Enhanced Saliency”, in Proc. of ACM Multimedia Asia (MM Asia), Dec. 13-16, 2022, Tokyo, Japan.

4.       Haoxuan Xiong, Yuanyuan Xu*, “Saliency-Guided Learned Image Compression for Object Detection”, in Proc. of 29th International Conference on Neural Information Processing (ICONIP), Nov. 22-26, 2022, New Delhi, India.

5.       Shuwen Cai, Yuanyuan Xu*, “A Multi-objective Optimization Approach to Resource Allocation for Edge-Based Digital Twin, in Proc. of IEEE Global Communications Conference (GLOBECOM), Dec. 4-8, 2022, Rio de Janeiro, Brazil.

6.       Yuanyuan Xu*, Taoyu Yang, Zengjie Tan, and Haolun Lan, “Fov-based Coding Optimization for 360-degree Virtual Reality Videos”,in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 22-27, 2022. Singapore. (CCF-B)

专利：

1.         一种基于视图缩放的全景图像空洞填充方法，ZL 202110704555.4, 徐媛媛、朱雷，授权日期2022.11.11

2.         一种基于深度强化学习的全景视频边缘协作缓存替换方法，ZL 202110515718.4，谭增洁、徐媛媛、叶保留，授权日期2022.09.30

3.         一种基于用户视场的全景视频编码优化算法，ZL 202110684088.3，杨桃雨、徐媛媛、叶保留，授权日期2022.06.17

4.         一种复杂度自适应的虚拟现实设备的屏幕内容编码算法，ZL 201811139188.2，徐媛媛，授权日期2022.01.28

5.         一种基于显著性的HEVC多描述图像编码算法，ZL 2017110335768.8，徐媛媛, ，授权日期2021.07.09

6.         一种全景视频的多描述视频编码方法，ZL 201711037017.4，徐媛媛，授权日期2021.03.19

7.         一种多描述屏幕内容视频编码方法，ZL 201610958863.9，徐媛媛，授权日期 2019.05.28

8.         一种三描述格型矢量量化预测边路解码方法， ZL 201611061314.8，徐媛媛，授权日期2019.03.29

9.         一种针对虚拟现实头戴式显示设备的屏幕内容视频编码算法，ZL 201711042343.4 ，徐媛媛，授权日期 2019.03.12