| Marginal inference in continuous Markov random fields using mixtures Y Guo, H Xiong, N Ruozzi Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7834-7841, 2019 | 11 | 2019 |
| General Purpose MRF Learning with Neural Network Potentials H Xiong, N Ruozzi IJCAI-PRICAI 2020, 2020 | 6 | 2020 |
| One-Shot Marginal MAP Inference in Markov Random Fields H Xiong, Y Guo, Y Yang, N Ruozzi Uncertainty in Artificial Intelligence 2019, 2019 | 4 | 2019 |
| One-Shot Inference in Markov Random Fields. H Xiong, Y Guo, Y Yang, N Ruozzi UAI, 102-112, 2019 | 3 | 2019 |
| Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs H Xiong, Y Lu, N Ruozzi Advances in Neural Information Processing Systems 35, 30651-30664, 2022 | | 2022 |
| An Efficient Variational Inference Method for MRF Learning and Structured Prediction Tasks H Xiong | | 2021 |
| Intelligent Key Management Box System H Xiong CN Patent CN105,735,826 B, 2016 | | 2016 |
Nicholas RuozziUniversity of Texas at DallasVerified email at utdallas.edu
