| Knowledge graph embedding based question answering X Huang, J Zhang, D Li, P Li Proceedings of the twelfth ACM international conference on web search and …, 2019 | 406 | 2019 |
| Aibox: Ctr prediction model training on a single node W Zhao, J Zhang, D Xie, Y Qian, R Jia, P Li Proceedings of the 28th ACM International Conference on Information and …, 2019 | 68 | 2019 |
| A hybrid ACO algorithm for the next release problem H Jiang, J Zhang, J Xuan, Z Ren, Y Hu The 2nd International Conference on Software Engineering and Data Mining …, 2010 | 63 | 2010 |
| Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures J Zhang, B Cao, S Xie, CT Lu, PS Yu, AB Ragin SDM, 2016 | 33 | 2016 |
| Mining brain networks using multiple side views for neurological disorder identification B Cao, X Kong, J Zhang, SY Philip, AB Ragin 2015 IEEE International Conference on Data Mining, 709-714, 2015 | 31 | 2015 |
| GemNN: gating-enhanced multi-task neural networks with feature interaction learning for CTR prediction H Fei, J Zhang, X Zhou, J Zhao, X Qi, P Li Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 24 | 2021 |
| Integration of knowledge graph embedding into topic modeling with hierarchical dirichlet process D Li, S Zamani, J Zhang, P Li Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 24 | 2019 |
| NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites J Zhang, X Kong, L Jie, Y Chang, PS Yu CIKM, 709-718, 2014 | 22 | 2014 |
| Representation learning for question classification via topic sparse autoencoder and entity embedding D Li, J Zhang, P Li 2018 IEEE International Conference on Big Data (Big Data), 126-133, 2018 | 12 | 2018 |
| HEER: Heterogeneous Graph Embedding for Emerging Relation Detection from News J Zhang, CT Lu, M Zhou, S Xie, Y Chang, PS Yu IEEE BigData, 2016 | 12 | 2016 |
| Identifying hiv-induced subgraph patterns in brain networks with side information B Cao, X Kong, J Zhang, PS Yu, AB Ragin Brain informatics 2, 211-223, 2015 | 12 | 2015 |
| TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding D Li, J Zhang, P Li SDM, 2019 | 11 | 2019 |
| Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources S Xie, Q Hu, J Zhang, J Gao, W Fan, SY Philip 2015 IEEE International Conference on Big Data (Big Data), 815-820, 2015 | 11 | 2015 |
| Learning Entity Types from Query Logs via Graph-Based Modeling J Zhang, L Jie, A Rahman, S Xie, Y Chang, PS Yu CIKM, 603-612, 2015 | 11 | 2015 |
| Learning interpretable relationships between entities, relations and concepts via bayesian structure learning on open domain facts J Zhang, M Sun, Y Feng, P Li Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 7 | 2020 |
| Connecting emerging relationships from news via tensor factorization J Zhang, CT Lu, B Cao, Y Chang, SY Philip 2017 IEEE International Conference on Big Data (Big Data), 1223-1232, 2017 | 6 | 2017 |
| Mining compatible/incompatible entities from question and answering via yes/no answer classification using distant label expansion H Xu, L Shu, J Zhang, PS Yu arXiv preprint arXiv:1612.04499, 2016 | 5 | 2016 |
| An effective and economic bi-level approach to ranking and rating spam detection S Xie, Q Hu, J Zhang, SY Philip 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 5 | 2015 |
| Fastinput: Improving input efficiency on mobile devices J Zhang, X Wang, Y Feng, M Sun, P Li Proceedings of the 27th ACM International Conference on Information and …, 2018 | 3 | 2018 |
| Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction S Xie, Q Hu, W Shao, J Zhang, J Gao, W Fan, PS Yu SDM, 2016 | 3 | 2016 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
