| Sampling-bias-corrected neural modeling for large corpus item recommendations X Yi, J Yang, L Hong, DZ Cheng, L Heldt, A Kumthekar, Z Zhao, L Wei, ... Proceedings of the 13th ACM conference on recommender systems, 269-277, 2019 | 251 | 2019 |
| Mixed negative sampling for learning two-tower neural networks in recommendations J Yang, X Yi, D Zhiyuan Cheng, L Hong, Y Li, S Xiaoming Wang, T Xu, ... Companion proceedings of the web conference 2020, 441-447, 2020 | 166 | 2020 |
| Off-policy learning in two-stage recommender systems J Ma, Z Zhao, X Yi, J Yang, M Chen, J Tang, L Hong, EH Chi Proceedings of The Web Conference 2020, 463-473, 2020 | 111 | 2020 |
| Shortest-path fractal dimension for percolation in two and three dimensions Z Zhou, J Yang, Y Deng, RM Ziff Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 86 (6 …, 2012 | 58 | 2012 |
| Rating distribution calibration for selection bias mitigation in recommendations H Liu, D Tang, J Yang, X Zhao, H Liu, J Tang, Y Cheng Proceedings of the ACM Web Conference 2022, 2048-2057, 2022 | 26 | 2022 |
| Toward annotator group bias in crowdsourcing H Liu, J Thekinen, S Mollaoglu, D Tang, J Yang, Y Cheng, H Liu, J Tang arXiv preprint arXiv:2110.08038, 2021 | 17 | 2021 |
| Crossover from isotropic to directed percolation Z Zhou, J Yang, RM Ziff, Y Deng Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 86 (2 …, 2012 | 17 | 2012 |
| Improving Relevance Prediction with Transfer Learning in Large-scale Retrieval Systems R Wang, Z Zhao, X Yi, J Yang, DZ Cheng, L Hong, S Tjoa, J Kang, ... Proceedings of the 1st Adaptive & Multitask Learning Workshop, 2019 | 8 | 2019 |
| Self-supervised Learning for Alleviating Selection Bias in Recommendation Systems H Liu, D Tang, J Yang, X Zhao, J Tang, Y Cheng KDD 2021 IRS Workshop, 2021 | 4 | 2021 |
| Continuous transition from directed to isotropic percolation Z Zhou, J Yang, RM Ziff, Y Deng arXiv preprint arXiv:1109.6567, 2011 | | 2011 |
