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Xing Zhao
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Year
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
322020
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
302021
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
212019
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
102020
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
92021
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
72018
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
42020
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
32021
Generative Inpainting Network Applications on Seismic Image Compression and Non-Uniform Sampling
XR Li, N Mitsakos, P Lu, Y Xiao, X Zhao
32019
Vitriol on social media: Curation and investigation
X Zhao, J Caverlee
International Conference on Social Informatics, 487-504, 2018
22018
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
12019
Evolution of Popularity Bias: Empirical Study and Debiasing
Z Zhu, Y He, X Zhao, J Caverlee
arXiv preprint arXiv:2207.03372, 2022
2022
RES: An Interpretable Replicability Estimation System for Research Publications
Z Wang, Q Feng, M Chatterjee, X Zhao, Y Liu, Y Li, AK Singh, ...
2022
Revealing and Addressing Bias in Recommender Systems
X Zhao
Texas A&M University, 2021
2021
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
2019
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
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Articles 1–16