| Localization technologies for indoor human tracking D Zhang, F Xia, Z Yang, L Yao, W Zhao 2010 5th international conference on future information technology, 1-6, 2010 | 373 | 2010 |
| Combining Weather Condition Data to Predict Traffic Flow: A GRU Based Deep Learning Approach. D Zhang, M Kabuka IET Intelligent Transport Systems (2018)., 2018 | 252 | 2018 |
| Ranking station importance with human mobility patterns using subway network datasets F Xia, J Wang, X Kong, D Zhang, Z Wang IEEE Transactions on intelligent transportation systems 21 (7), 2840-2852, 2019 | 59 | 2019 |
| Network embedding: Taxonomies, frameworks and applications M Hou, J Ren, D Zhang, X Kong, D Zhang, F Xia Computer Science Review 38, 100296, 2020 | 48 | 2020 |
| Motif discovery in networks: A survey S Yu, Y Feng, D Zhang, HD Bedru, B Xu, F Xia Computer Science Review 37, 100267, 2020 | 42 | 2020 |
| Multimodal deep representation learning for protein interaction identification and protein family classification D Zhang, M Kabuka BMC bioinformatics 20, 1-14, 2019 | 28 | 2019 |
| The gene of scientific success X Kong, J Zhang, D Zhang, Y Bu, Y Ding, F Xia ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-19, 2020 | 25 | 2020 |
| Protein family classification from scratch: a CNN based deep learning approach D Zhang, MR Kabuka IEEE/ACM transactions on computational biology and bioinformatics 18 (5 …, 2020 | 23 | 2020 |
| Energy-efficient opportunistic localization with indoor wireless sensor networks F Xia, X Yang, H Liu, Z Da, W Zhao Computer Science and Information Systems 8 (4), 973-990, 2011 | 22 | 2011 |
| Simulation as a service (smaas): a cloud-based framework to support the educational use of scientific software T Bitterman, P Calyam, A Berryman, DE Hudak, L Li, A Chalker, S Gordon, ... International Journal of Cloud Computing 1 3 (2), 177-190, 2014 | 18 | 2014 |
| Protein family classification with multi-layer graph convolutional networks D Zhang, MR Kabuka 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 13 | 2018 |
| Distributed Relationship Mining over Big Scholar Data DZM Kabuka IEEE Transactions on Emerging Topics in Computing 9 (no. 01), pp. 354-365, 2021 | 7* | 2021 |
| Multimodal deep representation learning for protein-protein interaction networks D Zhang, MR Kabuka 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 7 | 2018 |
| Simulation as a Service: A Cloud-Based Framework to Support the Educational Use of Scientific Software D Hudak, T Bitterman, R Ramnath, P Calyam, J Ramanathan, D Zhang, ... 1st International IBM Cloud Academy Conference, ICA CON, 19-20, 2012 | 5 | 2012 |
| Top-K Entity Units Retrieval Over Big Data MRK Da Zhang WWW '17 Companion: Proceedings of the 26th International Conference on World …, 2017 | 3 | 2017 |
| Effect of chloramine and its combination with chlorine dioxide on degradation of dissolved organic matter in raw water distribution system X Kun, Y Yanling, LI Xing, Z Da, H Liu, C Nan, W Shuai CIESC Journal 66 (6), 2262, 2015 | 2 | 2015 |
| Development and validation of a nonverbal consensus-based semantic memory paradigm in patients with epilepsy EB Tran, JMJ Vonk, K Casaletto, D Zhang, R Christin, S Marathe, ... Journal of the International Neuropsychological Society, 1-9, 2024 | | 2024 |
| MARML: Motif-Aware Deep Representation Learning in Multilayer Networks D Zhang, MR Kabuka IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
| Evaluating Non-verbal Semantic Memory Processing in Epilepsy Using a Consensus-based Approach U Edwina Tran, Jet M.J. Vonk, Kaitlin Casaletto, Da Zhang, Raphael Christin ... American Epilepsy Society Annual Meeting, 2023 | | 2023 |
| Representation Learning for Heterogeneous and Multilayer Networks D Zhang University of Miami, 2020 | | 2020 |
Feng XiaProfessor, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
