| Central server free federated learning over single-sided trust social networks C He, C Tan, H Tang, S Qiu, J Liu arXiv preprint arXiv:1910.04956, 2019 | 81 | 2019 |
| Stylized neural painting Z Zou, T Shi, S Qiu, Y Yuan, Z Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 79 | 2021 |
| On Finite-Time Convergence of Actor-Critic Algorithm S Qiu, Z Yang, J Ye, Z Wang IEEE Journal on Selected Areas in Information Theory, 2021 | 69 | 2021 |
| Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss S Qiu, X Wei, Z Yang, J Ye, Z Wang Advances in Neural Information Processing Systems 33, 2020 | 52* | 2020 |
| Deepsqueeze: Decentralization meets error-compensated compression H Tang, X Lian, S Qiu, L Yuan, C Zhang, T Zhang, J Liu arXiv preprint arXiv:1907.07346, 2019 | 40 | 2019 |
| Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning S Qiu, Z Yang, X Wei, J Ye, Z Wang arXiv preprint arXiv:2008.10103, 2020 | 34 | 2020 |
| Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis S Qiu, X Wei, Z Yang International Conference on Machine Learning, 2020, 7857-7866, 2020 | 31* | 2020 |
| Computational drug discovery with dyadic positive-unlabeled learning Y Liu, S Qiu, P Zhang, P Gong, F Wang, G Xue, J Ye Proceedings of the 2017 SIAM International Conference on Data Mining, 45-53, 2017 | 27 | 2017 |
| On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game S Qiu, J Ye, Z Wang, Z Yang International Conference on Machine Learning, 8737-8747, 2021 | 26 | 2021 |
| Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend Y Zhao, C Yu, P Zhao, H Tang, S Qiu, J Liu arXiv preprint arXiv:1901.10593, 2019 | 26 | 2019 |
| Functional annotation of human protein coding isoforms via non-convex multi-instance learning T Luo, W Zhang, S Qiu, Y Yang, D Yi, G Wang, J Ye, J Wang Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 26 | 2017 |
| Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning S Qiu, L Wang, C Bai, Z Yang, Z Wang International Conference on Machine Learning, 18168-18210, 2022 | 22 | 2022 |
| Proximal Online Gradient is Optimum for Dynamic Regret Y Zhao*, S Qiu*, K Li, L Luo, J Yin, J Liu IEEE Transactions on Neural Networks and Learning Systems, 2021, 2018 | 19* | 2018 |
| Castle in the sky: Dynamic sky replacement and harmonization in videos Z Zou, R Zhao, T Shi, S Qiu, Z Shi IEEE Transactions on Image Processing 31, 5067-5078, 2022 | 16 | 2022 |
| Pine: Universal deep embedding for graph nodes via partial permutation invariant set functions S Gui, X Zhang, P Zhong, S Qiu, M Wu, J Ye, Z Wang, J Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 15 | 2021 |
| Provably efficient fictitious play policy optimization for zero-sum Markov games with structured transitions S Qiu, X Wei, J Ye, Z Wang, Z Yang International Conference on Machine Learning, 8715-8725, 2021 | 12 | 2021 |
| Parallel lasso screening for big data optimization Q Li, S Qiu, S Ji, PM Thompson, J Ye, J Wang Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 10 | 2016 |
| In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle L Xu, S Qiu, B Yuan, J Jiang, C Renggli, S Gan, K Kara, G Li, J Liu, W Wu, ... Proceedings of the 2022 International Conference on Management of Data, 1286 …, 2022 | 8 | 2022 |
| Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee M Lin, S Qiu, J Ye, X Song, Q Qian, L Sun, S Zhu, R Jin Proceedings of the AAAI Conference on Artificial Intelligence 33, 4312-4319, 2019 | 8* | 2019 |
| Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach S Qiu*, B Lyu*, Q Meng*, Z Wang, Z Yang, MI Jordan arXiv preprint arXiv:2202.12797, 2022 | 7 | 2022 |
