| Understanding user behavior in online social networks: A survey L Jin, Y Chen, T Wang, P Hui, AV Vasilakos IEEE communications magazine 51 (9), 144-150, 2013 | 403 | 2013 |
| Labeling trick: A theory of using graph neural networks for multi-node representation learning M Zhang, P Li, Y Xia, K Wang, L Jin Advances in Neural Information Processing Systems 34, 9061-9073, 2021 | 276* | 2021 |
| Hey, You Have Given Me Too Many Knobs! Understanding and Dealing with Over-Designed Configuration in System Software T Xu, L Jin, X Fan, Y Zhou, S Pasupathy, R Talwadker Proceedings of the 10th Joint Meeting of the European Software Engineering …, 2015 | 233 | 2015 |
| Decoupling the depth and scope of graph neural networks H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ... Advances in Neural Information Processing Systems 34, 19665-19679, 2021 | 220* | 2021 |
| Early detection of configuration errors to reduce failure damage T Xu, X Jin, P Huang, Y Zhou, S Lu, L Jin, S Pasupathy 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2016 | 184 | 2016 |
| Understanding graph sampling algorithms for social network analysis T Wang, Y Chen, Z Zhang, T Xu, L Jin, P Hui, B Deng, X Li 2011 31st international conference on distributed computing systems …, 2011 | 138 | 2011 |
| Optimizing background email sync on smartphones F Xu, Y Liu, T Moscibroda, R Chandra, L Jin, Y Zhang, Q Li Proceeding of the 11th annual international conference on Mobile systems …, 2013 | 86 | 2013 |
| Introspective classification with convolutional nets L Jin, J Lazarow, Z Tu Advances in Neural Information Processing Systems, 2017, 2017 | 70* | 2017 |
| Introspective neural networks for generative modeling J Lazarow, L Jin, Z Tu Proceedings of the IEEE International Conference on Computer Vision, 2774-2783, 2017 | 68 | 2017 |
| Albatross sampling: robust and effective hybrid vertex sampling for social graphs L Jin, Y Chen, P Hui, C Ding, T Wang, AV Vasilakos, B Deng, X Li Proceedings of the 3rd ACM International Workshop on MobiSys, 11-16, 2011 | 65 | 2011 |
| Balancing consistency and disparity in network alignment S Zhang, H Tong, L Jin, Y Xia, Y Guo Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 45 | 2021 |
| Object detection free instance segmentation with labeling transformations L Jin, Z Chen, Z Tu arXiv preprint arXiv:1611.08991, 2016 | 32 | 2016 |
| Leveraging LLM Reasoning Enhances Personalized Recommender Systems AY Tsai, A Kraft, L Jin, C Cai, A Hosseini, T Xu, Z Zhang, L Hong, EH Chi, ... arXiv preprint arXiv:2408.00802, 2024 | 2 | 2024 |
| Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems H Gui, R Wang, K Yin, L Jin, M Kula, T Xu, L Hong, EH Chi arXiv preprint arXiv:2311.05884, 2023 | 1 | 2023 |
| STAR: A Simple Training-free Approach for Recommendations using Large Language Models DH Lee, A Kraft, L Jin, N Mehta, T Xu, L Hong, EH Chi, X Yi arXiv preprint arXiv:2410.16458, 2024 | | 2024 |
| Labeling Transformation and Introspective Learning with Convolutional Nets L Jin UC San Diego, 2018 | | 2018 |
| Configurations Explosion T Xu, L Jin, X Fan, Y Zhou, S Pasupathy, RT Hey, YHG Me | | |
| SIFS: A Scalable and ISP-Friendly Server Selection Scheme in Cloud Services C Ding, Y Chen, Z Chen, T Xu, L Jin, X Fu | | |
Yang ChenProfessor, School of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
