| 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 | 198 | 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 | 87 | 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 | 76 | 2020 |
| 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 | 53 | 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 | 42 | 2018 |
| 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 | 38 | 2020 |
| 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 | 38 | 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 | 37 | 2022 |
| 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 | 37 | 2018 |
| 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 | 36 | 2020 |
| 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 | 29 | 2021 |
| 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 | 26 | 2016 |
| 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 | 21 | 2020 |
| 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 | 20 | 2020 |
| E^ 2-LLM: Efficient and Extreme Length Extension of Large Language Models J Liu, Z Bai, Y Zhang, C Zhang, Y Zhang, G Zhang, J Wang, H Que, ... arXiv preprint arXiv:2401.06951, 2024 | 18 | 2024 |
| 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 | 18 | 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 35 (10), 9904-9919, 2022 | 17 | 2022 |
| 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 | 17 | 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 | 14 | 2020 |
| D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models H Que, J Liu, G Zhang, C Zhang, X Qu, Y Ma, F Duan, Z Bai, J Wang, ... arXiv preprint arXiv:2406.01375, 2024 | 13 | 2024 |
Kaigui BianAssociate Professor, School of CS, Peking UniversityEmail verificata su pku.edu.cn
