| Hessian aided policy gradient Z Shen, A Ribeiro, H Hassani, H Qian, C Mi International conference on machine learning, 5729-5738, 2019 | 81 | 2019 |
| Towards more efficient stochastic decentralized learning: Faster convergence and sparse communication Z Shen, A Mokhtari, T Zhou, P Zhao, H Qian International Conference on Machine Learning, 4624-4633, 2018 | 65 | 2018 |
| An iterative SVM approach to feature selection and classification in high-dimensional datasets D Liu, H Qian, G Dai, Z Zhang Pattern Recognition 46 (9), 2531-2537, 2013 | 63 | 2013 |
| Loosecut: Interactive image segmentation with loosely bounded boxes H Yu, Y Zhou, H Qian, M Xian, S Wang 2017 IEEE International Conference on Image Processing (ICIP), 3335-3339, 2017 | 53 | 2017 |
| Starenhancer: Learning real-time and style-aware image enhancement Y Song, H Qian, X Du Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 39 | 2021 |
| Efficient projection-free online methods with stochastic recursive gradient J Xie, Z Shen, C Zhang, B Wang, H Qian Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6446-6453, 2020 | 34 | 2020 |
| Complexities in projection-free stochastic non-convex minimization Z Shen, C Fang, P Zhao, J Huang, H Qian The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 32 | 2019 |
| Co-interest person detection from multiple wearable camera videos Y Lin, K Abdelfatah, Y Zhou, X Fan, H Yu, H Qian, S Wang Proceedings of the IEEE International Conference on Computer Vision, 4426-4434, 2015 | 28 | 2015 |
| A nearly unbiased matrix completion approach D Liu, T Zhou, H Qian, C Xu, Z Zhang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 24 | 2013 |
| Jump: A joint predictor for user click and dwell time T Zhou, H Qian, Z Shen, C Zhang, C Wang, S Liu, W Ou Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 22 | 2018 |
| An alternating proximal splitting method with global convergence for nonconvex structured sparsity optimization S Zhang, H Qian, X Gong Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 21 | 2016 |
| Making fisher discriminant analysis scalable B Tu, Z Zhang, S Wang, H Qian International Conference on Machine Learning, 964-972, 2014 | 21 | 2014 |
| Adaptive Variance Reducing for Stochastic Gradient Descent. Z Shen, H Qian, T Zhou, T Mu IJCAI, 1990-1996, 2016 | 20 | 2016 |
| Guided depth upsampling via a cosparse analysis model X Gong, J Ren, B Lai, C Yan, H Qian Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 19 | 2014 |
| Tensor Completion with Side Information: A Riemannian Manifold Approach. T Zhou, H Qian, Z Shen, C Zhang, C Xu IJCAI, 3539-3545, 2017 | 18 | 2017 |
| Improving the modified Nyström method using spectral shifting S Wang, C Zhang, H Qian, Z Zhang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 15 | 2014 |
| Gaussian processes in inverse reinforcement learning ZJ Jin, H Qian, ML Zhu 2010 International Conference on Machine Learning and Cybernetics 1, 225-230, 2010 | 15 | 2010 |
| Decentralized gradient tracking for continuous dr-submodular maximization J Xie, C Zhang, Z Shen, C Mi, H Qian The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 14 | 2019 |
| A concave conjugate approach for nonconvex penalized regression with the MCP penalty S Zhang, H Qian, W Chen, Z Zhang Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 1027-1033, 2013 | 13 | 2013 |
| Modified reward function on abstract features in inverse reinforcement learning S Chen, H Qian, J Fan, Z Jin, M Zhu Journal of Zhejiang University SCIENCE C 11, 718-723, 2010 | 11 | 2010 |
Zebang Shen 沈泽邦ETH ZürichVerified email at inf.ethz.ch
