| Sparse recovery via differential inclusions S Osher, F Ruan, J Xiong, Y Yao, W Yin Applied and Computational Harmonic Analysis 41 (2), 436-469, 2016 | 46 | 2016 |
| Tstarbots: Defeating the cheating level builtin ai in starcraft ii in the full game P Sun, X Sun, L Han, J Xiong, Q Wang, B Li, Y Zheng, J Liu, Y Liu, H Liu, ... arXiv preprint arXiv:1809.07193, 2018 | 41 | 2018 |
| Robust subjective visual property prediction from crowdsourced pairwise labels Y Fu, TM Hospedales, T Xiang, J Xiong, S Gong, Y Wang, Y Yao IEEE transactions on pattern analysis and machine intelligence 38 (3), 563-577, 2015 | 31 | 2015 |
| Robust evaluation for quality of experience in crowdsourcing Q Xu, J Xiong, Q Huang, Y Yao Proceedings of the 21st ACM international conference on Multimedia, 43-52, 2013 | 23 | 2013 |
| Parametrized deep q-networks learning: Reinforcement learning with discrete-continuous hybrid action space J Xiong, Q Wang, Z Yang, P Sun, L Han, Y Zheng, H Fu, T Zhang, J Liu, ... arXiv preprint arXiv:1810.06394, 2018 | 22 | 2018 |
| Split LBI: An iterative regularization path with structural sparsity C Huang, X Sun, J Xiong, Y Yao Advances In Neural Information Processing Systems, 3369-3377, 2016 | 13 | 2016 |
| Analysis of crowdsourced sampling strategies for hodgerank with sparse random graphs B Osting, J Xiong, Q Xu, Y Yao Applied and Computational Harmonic Analysis 41 (2), 540-560, 2016 | 10 | 2016 |
| Online HodgeRank on random graphs for crowdsourceable QoE evaluation Q Xu, J Xiong, Q Huang, Y Yao IEEE Transactions on Multimedia 16 (2), 373-386, 2013 | 10 | 2013 |
| Exponentially weighted imitation learning for batched historical data Q Wang, J Xiong, L Han, H Liu, T Zhang Advances in Neural Information Processing Systems, 6288-6297, 2018 | 9 | 2018 |
| Stochastic non-convex ordinal embedding with stabilized barzilai-borwein step size K Ma, J Zeng, J Xiong, Q Xu, X Cao, W Liu, Y Yao arXiv preprint arXiv:1711.06446, 2017 | 9 | 2017 |
| Exploring outliers in crowdsourced ranking for qoe Q Xu, M Yan, C Huang, J Xiong, Q Huang, Y Yao Proceedings of the 25th ACM international conference on Multimedia, 1540-1548, 2017 | 6 | 2017 |
| Parsimonious mixed-effects HodgeRank for crowdsourced preference aggregation Q Xu, J Xiong, X Cao, Y Yao Proceedings of the 24th ACM international conference on Multimedia, 841-850, 2016 | 6 | 2016 |
| Boosting with structural sparsity: A differential inclusion approach C Huang, X Sun, J Xiong, Y Yao Applied and Computational Harmonic Analysis 48 (1), 1-45, 2020 | 5 | 2020 |
| Grid-wise control for multi-agent reinforcement learning in video game ai L Han, P Sun, Y Du, J Xiong, Q Wang, X Sun, H Liu, T Zhang International Conference on Machine Learning, 2576-2585, 2019 | 5 | 2019 |
| From social to individuals: a parsimonious path of multi-level models for crowdsourced preference aggregation Q Xu, J Xiong, X Cao, Q Huang, Y Yao IEEE transactions on pattern analysis and machine intelligence 41 (4), 844-856, 2018 | 5 | 2018 |
| False discovery rate control and statistical quality assessment of annotators in crowdsourced ranking Q Xu, J Xiong, X Cao, Y Yao International Conference on Machine Learning, 1282-1291, 2016 | 5 | 2016 |
| A margin-based mle for crowdsourced partial ranking Q Xu, J Xiong, X Sun, Z Yang, X Cao, Q Huang, Y Yao Proceedings of the 26th ACM international conference on Multimedia, 591-599, 2018 | 4 | 2018 |
| Hodgerank with information maximization for crowdsourced pairwise ranking aggregation Q Xu, J Xiong, X Chen, Q Huang, Y Yao arXiv preprint arXiv:1711.05957, 2017 | 4 | 2017 |
| Robust statistical ranking: Theory and algorithms Q Xu, J Xiong, Q Huang, Y Yao arXiv preprint arXiv:1408.3467, 2014 | 3 | 2014 |
| Arena: a toolkit for Multi-Agent Reinforcement Learning Q Wang, J Xiong, L Han, M Fang, X Sun, Z Zheng, P Sun, Z Zhang arXiv preprint arXiv:1907.09467, 2019 | 1 | 2019 |
