| Detecting malicious endpoints using network connectivity and flow information S Saha, L Liu, R Torres, J Xu, A Nucci US Patent 8,813,236, 2014 | 191 | 2014 |
| Multi-Task Feature Interaction Learning K Lin, J Xu, S Ji, J Zhou 2016 KDD, 2016 | 37 | 2016 |
| Pure: Positive-unlabeled recommendation with generative adversarial network Y Zhou, J Xu, J Wu, Z Taghavi, E Korpeoglu, K Achan, J He Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 36 | 2021 |
| FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models J Xu, J Zhou, PN Tan 2015 SIAM International Conference on Data Mining (SDM15), 496-504, 2015 | 35 | 2015 |
| Online multi-task learning framework for ensemble forecasting J Xu, PN Tan, J Zhou, L Luo IEEE Transactions on Knowledge and Data Engineering 29 (6), 1268-1280, 2017 | 34 | 2017 |
| GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction J Xu, PN Tan, L Luo, J Zhou 2016 SIAM International Conference on Data Mining (SDM16), 657-665, 2016 | 28 | 2016 |
| Detecting malicious clients in isp networks using http connectivity graph and flow information L Liu, S Saha, R Torres, J Xu, PN Tan, A Nucci, M Mellia 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | 27 | 2014 |
| ORION: Online Regularized multI-task regressiON and its application to ensemble forecasting J Xu, PN Tan, L Luo 2014 IEEE International Conference on Data Mining, 1061-1066, 2014 | 26 | 2014 |
| Spatio-temporal multi-task learning via tensor decomposition J Xu, J Zhou, PN Tan, X Liu, L Luo IEEE Transactions on Knowledge and Data Engineering 33 (6), 2764-2775, 2019 | 17 | 2019 |
| Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine J Xu, K Lin, PN Tan, J Zhou 2016 SIAM International Conference on Data Mining (SDM16), 108-116, 2016 | 17 | 2016 |
| MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. J Xu, X Liu, T Wilson, PN Tan, P Hatami, L Luo IJCAI, 2912-2918, 2018 | 14 | 2018 |
| WISDOM: Weighted Incremental Spatio-Temporal Multi-Task Learning via Tensor Decomposition J Xu, J Zhou, PN Tan, X Liu, L Luo IEEE BigData 2016, 2016 | 13 | 2016 |
| Knowledge graph completion models are few-shot learners: An empirical study of relation labeling in e-commerce with llms J Chen, L Ma, X Li, N Thakurdesai, J Xu, JHD Cho, K Nag, E Korpeoglu, ... arXiv preprint arXiv:2305.09858, 2023 | 6 | 2023 |
| Gan-based recommendation with positive-unlabeled sampling Y Zhou, J Xu, J Wu, ZT Nasrabadi, E Korpeoglu, K Achan, J He arXiv preprint arXiv:2012.06901, 2020 | 6 | 2020 |
| Llm-based aspect augmentations for recommendation systems RY Maragheh, L Morishetti, R Giahi, K Nag, J Xu, J Cho, E Korpeoglu, ... | 5 | 2023 |
| Kaushiki Nag, Evren Korpeoglu, Sushant Kumar, and Kannan Achan. 2023. Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E … J Chen, L Ma, X Li, N Thakurdesai, J Xu, JHD Cho arXiv preprint arXiv:2305.09858, 2023 | 5 | 2023 |
| NEAT: a label noise-resistant complementary item recommender system with trustworthy evaluation L Ma, J Xu, JHD Cho, E Korpeoglu, S Kumar, K Achan 2021 IEEE International Conference on Big Data (Big Data), 469-479, 2021 | 4 | 2021 |
| Prospect-net: Top-k retrieval problem using prospect theory RY Maragheh, R Giahi, J Xu, L Morishetti, S Vashishtha, K Nag, J Cho, ... 2022 IEEE International Conference on Big Data (Big Data), 3945-3951, 2022 | 3 | 2022 |
| Multi-task learning and its application to geospatio-temporal data J Xu Michigan State University, 2017 | 3 | 2017 |
| LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models RY Maragheh, C Fang, CC Irugu, P Parikh, J Cho, J Xu, S Sukumar, ... 2023 IEEE International Conference on Big Data (BigData), 4318-4324, 2023 | 2 | 2023 |
Kannan AchanWalmartlabsVerified email at cs.toronto.edu
