| Pseudoclimb and dislocation dynamics in superplastic nanotubes F Ding, K Jiao, M Wu, BI Yakobson Physical review letters 98 (7), 075503, 2007 | 156 | 2007 |
| Weak convergence rates of population versus single-chain stochastic approximation MCMC algorithms Q Song, M Wu, F Liang Advances in Applied Probability 46 (4), 1059-1083, 2014 | 22 | 2014 |
| A data-driven workflow for predicting horizontal well production using vertical well logs J Guevara, M Kormaksson, B Zadrozny, L Lu, J Tolle, T Croft, M Wu, ... arXiv preprint arXiv:1705.06556, 2017 | 15 | 2017 |
| A hybrid data-driven and knowledge-driven methodology for estimating the effect of completion parameters on the cumulative production of horizontal wells J Guevara, B Zadrozny, A Buoro, L Lu, J Tolle, J Limbeck, M Wu, D Hohl SPE Annual Technical Conference and Exhibition?, D021S010R004, 2018 | 10 | 2018 |
| Friend recommendations with self-rescaling graph neural networks X Song, J Lian, H Huang, M Wu, H Jin, X Xie Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 9 | 2022 |
| xgcn: An extreme graph convolutional network for large-scale social link prediction X Song, J Lian, H Huang, Z Luo, W Zhou, X Lin, M Wu, C Li, X Xie, H Jin Proceedings of the ACM Web Conference 2023, 349-359, 2023 | 7 | 2023 |
| Stochastic clustering and pattern matching for real-time geosteering M Wu, Y Miao, N Panchal, DR Kowal, M Vannucci, J Vila, F Liang Geophysics 84 (5), ID13-ID24, 2019 | 5 | 2019 |
| Bayesian modeling of ChIP-chip data using latent variables M Wu, F Liang, Y Tian BMC bioinformatics 10, 1-13, 2009 | 5 | 2009 |
| Accelerate training of restricted Boltzmann machines via iterative conditional maximum likelihood estimation FL Mingqi Wu, Ye Luo Statistics and its interface 12 (3), 377, 2019 | 2 | 2019 |
| Population SAMC vs SAMC: Convergence and applications to gene selection problems M Wu, F Liang J Biomet Biostat S 1 (2), 2011 | 2 | 2011 |
| Population stochastic approximation mcmc algorithm and its weak convergence F Liang, M Wu Technical Report, 2010 | 2 | 2010 |
| Aligning Language Models for Versatile Text-based Item Retrieval Y Lei, J Lian, J Yao, M Wu, D Lian, X Xie arXiv preprint arXiv:2402.18899, 2024 | 1 | 2024 |
| Machine learning platform for processing data maps JLG Diaz, B Zadrozny, BWSR de Carvalho, AB Buoro, M Kormaksson, ... US Patent 11,719,842, 2023 | 1 | 2023 |
| Convformer: Revisiting transformer for sequential user modeling H Wang, J Lian, M Wu, H Li, J Fan, W Xu, C Li, X Xie arXiv preprint arXiv:2308.02925, 2023 | 1 | 2023 |
| Towards Explainable Collaborative Filtering with Taste Clusters Learning Y Du, J Lian, J Yao, X Wang, M Wu, L Chen, Y Gao, X Xie Proceedings of the ACM Web Conference 2023, 3712-3722, 2023 | 1 | 2023 |
| Supplementary material for ‘Weak convergence rates of population versus single-chain stochastic approximation MCMC algorithms’ Q SONG, M WU, F LIANG | 1 | 2013 |
| Population SAMC vs SAMC: Convergence and applications to gene selection problems MW Faming Liang OMICS Publishing Group, 2013 | 1 | 2013 |
| ConvFormer: Revisiting Token-mixers for Sequential User Modeling E Wang, J Lian, H Li, M Wu, W Xu, J Fan, C Li, X Xie | | 2023 |
| Process for real time geological localization with stochastic clustering and pattern matching N Panchal, SMK Sultan, M Wu US Patent 11,401,798, 2022 | | 2022 |
| An interpretable machine learning methodology for well data integration and sweet spotting identification J Guevara, B Zadrozny, A Buoro, J Tolle, J Limbeck, M Wu, D Hohl NIPS 2018 Workshop book, 2018 | | 2018 |
Faming LiangDistinguished Professor of Statistics, Purdue UniversityVerified email at purdue.edu
