| A deep learning system for differential diagnosis of skin diseases Y Liu, A Jain, C Eng, DH Way, K Li, P Bui, K Kanada, ... Nature Medicine, 1-9, 2020 | 657 | 2020 |
| Fairness without demographics through adversarially reweighted learning P Lahoti, A Beutel, J Chen, K Li, F Prost, N Thain, X Wang, EH Chi NeurIPS, 2020 | 363 | 2020 |
| A Deep Learning Approach to Link Prediction in Dynamic Networks X Li, N Du, H Li, K Li, J Gao, A Zhang SIAM International Conference on Data Mining, 2014 | 189 | 2014 |
| On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning L Ge, J Gao, H Ngo, K Li, A Zhang Statistical Analysis and Data Mining: The ASA Data Science Journal, 2014 | 160 | 2014 |
| A Novel Semi-supervised Deep Learning Framework for Affective State Recognition on EEG Signals X Jia, K Li, X Li, A Zhang IEEE 14th International Conference on BioInformatics and BioEngineering, 2014 | 106 | 2014 |
| CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation T Wang, X Wang, Y Qin, B Packer, K Li, J Chen, A Beutel, E Chi EMNLP, 2020 | 94 | 2020 |
| Affective State Recognition from EEG with Deep Belief Networks K Li, X Li, Y Zhang, A Zhang IEEE International Conference on Bioinformatics and Biomedicine, 2013 | 82 | 2013 |
| LRBM: A Restricted Boltzmann Machine based Approach for Representation Learning on Linked Data K Li, J Gao, S Guo, N Du, X Li, A Zhang IEEE International Conference on Data Mining, 2014 | 38 | 2014 |
| Collaborative Restricted Boltzmann Machine for Social Event Recommendation X Jia, X Li, K Li, V Gopalakrishnan, G Xun, A Zhang 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 29 | 2016 |
| Detecting ECG abnormalities via transductive transfer learning K Li, D Nan, Z Aidong ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2012 | 26 | 2012 |
| Spatial modeling of bone microarchitecture H Li, K Li, T Kim, A Zhang SPIE, 2012 | 21 | 2012 |
| Learning, Analyzing and Predicting Object Roles on Dynamic Networks K Li, S Guo, D Nan, J Gao, A Zhang IEEE International Conference on Data Mining, 2013 | 17 | 2013 |
| Evolutionary Analysis of Functional Modules in Dynamic PPI Networks N Du, Y Zhang, K Li, J Gao, A Zhang ACM-BCB, 2012 | 17 | 2012 |
| Big Data Gathering and Mining Pipelines for CRM using Opensource K Li, V Deolalikar, N Pradhan 2015 IEEE International Conference on Big Data, 2015 | 14 | 2015 |
| A Link Prediction based Unsupervised Rank Aggregation Algorithm for Informative Gene Selection K Li, D Nan, Z Aidong Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on, 2012 | 12 | 2012 |
| msiDBN: A Method of Identifying Critical Proteins in Dynamic PPI Networks Y Zhang, N Du, K Li, JC Feng, K Jia, A Zhang BioMed Research International 2014, 2014 | 9 | 2014 |
| Mining Lifestyle Personas at Scale in E-commerce K Li, V Deolalikar, N Pradhan 2015 IEEE International Conference on Big Data, 2015 | 7 | 2015 |
| Identification of Critical Location on A Microstructural Bone Network T Kim, K Jaehan, K Li, M Ramanathan, A Zhang IEEE International Conference on Bioinformatics and Biomedicine, 2010 | 7 | 2010 |
| Atypical Queries in eCommerce N Pradhan, V Deolalikar, K Li The 24th ACM International Conference on Information and Knowledge …, 2015 | 6 | 2015 |
| Co-regulated Protein Functional Modules with Varying Activities in Dynamic PPI Networks Y Zhang, N Du, K Li, K Jia, A Zhang Tsinghua Science & Technology 18, 530-540, 2013 | 5 | 2013 |
Aidong Zhang, Fellow of ACM, IEEE, a...Thomas M. Linville Professor of Computer Science, University of Virginia在 virginia.edu 的電子郵件地址已通過驗證
