| Popularity-opportunity bias in collaborative filtering Z Zhu, Y He, X Zhao, Y Zhang, J Wang, J Caverlee Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 145 | 2021 |
| Learning to hash with graph neural networks for recommender systems Q Tan, N Liu, X Zhao, H Yang, J Zhou, X Hu Proceedings of The Web Conference 2020, 1988-1998, 2020 | 106 | 2020 |
| Popularity bias in dynamic recommendation Z Zhu, Y He, X Zhao, J Caverlee Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 81 | 2021 |
| Swell-noise attenuation: A deep learning approach X Zhao, P Lu, Y Zhang, J Chen, X Li The Leading Edge 38 (12), 934-942, 2019 | 40 | 2019 |
| Improving the estimation of tail ratings in recommender system with multi-latent representations X Zhao, Z Zhu, Y Zhang, J Caverlee Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 22 | 2020 |
| Rabbit holes and taste distortion: Distribution-aware recommendation with evolving interests X Zhao, Z Zhu, J Caverlee Proceedings of the Web Conference 2021, 888-899, 2021 | 20 | 2021 |
| Trailmix: An ensemble recommender system for playlist curation and continuation X Zhao, Q Song, J Caverlee, X Hu Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018 | 9 | 2018 |
| Addressing the target customer distortion problem in recommender systems X Zhao, Z Zhu, M Alfifi, J Caverlee Proceedings of The Web Conference 2020, 2969-2975, 2020 | 7 | 2020 |
| Seismic compressive sensing by generative inpainting network: toward an optimized acquisition survey XR Li, N Mitsakos, P Lu, Y Xiao, X Zhao The Leading Edge 38 (12), 923-933, 2019 | 7 | 2019 |
| Generative inpainting network applications on seismic image compression and non-uniform sampling XR Li, N Mitsakos, P Lu, Y Xiao, X Zhao NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019 | 5 | 2019 |
| Attenuating random noise in seismic data by a deep learning approach X Zhao, P Lu, Y Zhang, J Chen, X Li arXiv preprint arXiv:1910.12800, 2019 | 4 | 2019 |
| Evolution of popularity bias: Empirical study and debiasing Z Zhu, Y He, X Zhao, J Caverlee arXiv preprint arXiv:2207.03372, 2022 | 3 | 2022 |
| Vitriol on social media: Curation and investigation X Zhao, J Caverlee Social Informatics: 10th International Conference, SocInfo 2018, St …, 2018 | 2 | 2018 |
| RES: An Interpretable Replicability Estimation System for Research Publications Z Wang, Q Feng, M Chatterjee, X Zhao, Y Liu, Y Li, AK Singh, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13230 …, 2022 | 1 | 2022 |
| Revealing and Addressing Bias in Recommender Systems X Zhao Texas A&M University, 2021 | | 2021 |
| SEISMIC COMPRESSIVE SENSING BY GENERATIVE INPAINTING NETWORK AND RECOMMENDATION OF EFFICIENT SEISMIC ACQUIZAITON TOWARD NON-UNIFORM SURVEY XR Li, N Mitsakos, P Lu, Y Xiao, X Zhao | | |
James CaverleeProfessor, Computer Science and Engineering, Texas A&M UniversityEmail verificata su cse.tamu.edu