Yuanxing Zhang
Yuanxing Zhang
Alibaba Group
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
DRL360: 360-degree video streaming with deep reinforcement learning
Y Zhang, P Zhao, K Bian, Y Liu, L Song, X Li
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1252-1260, 2019
Improving quality of experience by adaptive video streaming with super-resolution
Y Zhang, Y Zhang, Y Wu, Y Tao, K Bian, P Zhou, L Song, H Tuo
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1957-1966, 2020
Garg: anonymous recommendation of point-of-interest in mobile networks by graph convolution network
S Wu, Y Zhang, C Gao, K Bian, B Cui
Data Science and Engineering 5, 433-447, 2020
Proactive video push for optimizing bandwidth consumption in hybrid CDN-P2P VoD systems
Y Zhang, C Gao, Y Guo, K Bian, X Jin, Z Yang, L Song, J Cheng, H Tuo, ...
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 2555-2563, 2018
Differentiable feature aggregation search for knowledge distillation
Y Guan, P Zhao, B Wang, Y Zhang, C Yao, K Bian, J Tang
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Mobile social big data: Wechat moments dataset, network applications, and opportunities
Y Zhang, Z Li, C Gao, K Bian, L Song, S Dong, X Li
IEEE network 32 (3), 146-153, 2018
Spherical criteria for fast and accurate 360 object detection
P Zhao, A You, Y Zhang, J Liu, K Bian, Y Tong
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12959 …, 2020
Tssrgcn: Temporal spectral spatial retrieval graph convolutional network for traffic flow forecasting
X Chen, Y Zhang, L Du, Z Fang, Y Ren, K Bian, K Xie
2020 IEEE International Conference on Data Mining (ICDM), 954-959, 2020
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
Y Zhang, L Chen, S Yang, M Yuan, H Yi, J Zhang, J Wang, J Dong, Y Xu, ...
2022 IEEE 38th International Conference on Data Engineering (ICDE), 3453-3466, 2022
PERM: Neural adaptive video streaming with multi-path transmission
Y Guan, Y Zhang, B Wang, K Bian, X Xiong, L Song
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1103-1112, 2020
Influence maximization in messenger-based social networks
Y Zhang, Y Bai, L Chen, K Bian, X Li
2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016
Adversarial oracular seq2seq learning for sequential recommendation
P Zhao, T Shui, Y Zhang, K Xiao, K Bian
Proceedings of the Twenty-Ninth International Conference on International …, 2021
Preference-aware mask for session-based recommendation with bidirectional transformer
Y Zhang, P Zhao, Y Guan, L Chen, K Bian, L Song, B Cui, X Li
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
LadderNet: Knowledge Transfer Based Viewpoint Prediction in 360 Video
P Zhao, Y Zhang, K Bian, H Tuo, L Song
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
AMEIR: Automatic behavior modeling, interaction exploration and MLP investigation in the recommender system
P Zhao, K Xiao, Y Zhang, K Bian, W Yan
arXiv preprint arXiv:2006.05933, 2020
MA360: Multi-agent deep reinforcement learning based live 360-degree video streaming on edge
Y Ban, Y Zhang, H Zhang, X Zhang, Z Guo
2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020
Amer: Automatic behavior modeling and interaction exploration in recommender system
P Zhao, K Xiao, Y Zhang, K Bian, W Yan
arXiv preprint arXiv:2006.05933, 2020
Optimal trajectory planning of drones for 3D mobile sensing
P Zhao, Y Yang, Y Zhang, K Bian, L Song, P Qiao, Z Li
2018 IEEE global communications conference (GLOBECOM), 1-6, 2018
Learning at the edge: Smart content delivery in real world mobile social networks
K Bian, C Gao, Y Tao, Y Zhang, L Song, S Dong, X Li
IEEE Network 33 (4), 208-215, 2019
TAG: Joint triple-hierarchical attention and GCN for review-based social recommender system
P Qiao, Z Zhang, Z Li, Y Zhang, K Bian, Y Li, G Wang
IEEE Transactions on Knowledge and Data Engineering, 2022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20