Da Zhang

21 papers Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
MARML: Motif-Aware Deep Representation Learning in Multilayer Networks.
IEEE Trans. Neural Networks Learn. Syst.
Da Zhang, Mansur R. Kabuka
2022 J jnl
The Gene of Scientific Success.
CoRR
Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia
2021 J jnl
Distributed Relationship Mining over Big Scholar Data.
IEEE Trans. Emerg. Top. Comput.
Da Zhang, Mansur R. Kabuka
2021 J jnl
Protein Family Classification from Scratch: A CNN Based Deep Learning Approach.
IEEE ACM Trans. Comput. Biol. Bioinform.
Da Zhang, Mansur R. Kabuka
2020 J jnl
Big Networks: A Survey.
CoRR
Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia
2020 J jnl
Big networks: A survey.
Comput. Sci. Rev.
Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia
2020 J jnl
Motif discovery in networks: A survey.
Comput. Sci. Rev.
Shuo Yu, Yufan Feng, Da Zhang, Hayat Dino Bedru, Bo Xu, Feng Xia
2020 J jnl
Network embedding: Taxonomies, frameworks and applications.
Comput. Sci. Rev.
Mingliang Hou, Jing Ren, Da Zhang, Xiangjie Kong, Dongyu Zhang, Feng Xia
2020 J jnl
Ranking Station Importance With Human Mobility Patterns Using Subway Network Datasets.
IEEE Trans. Intell. Transp. Syst.
Feng Xia, Jinzhong Wang, Xiangjie Kong, Da Zhang, Zhibo Wang
2020 J jnl
The Gene of Scientific Success.
ACM Trans. Knowl. Discov. Data
Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia
2019 J jnl
A Survey of Measures for Network Motifs.
IEEE Access
Feng Xia, Haoran Wei, Shuo Yu, Da Zhang, Bo Xu
2019 J jnl
Data Mining and Information Retrieval in the 21st century: A bibliographic review.
Comput. Sci. Rev.
Jiaying Liu, Xiangjie Kong, Xinyu Zhou, Lei Wang, Da Zhang, Ivan Lee, Bo Xu, Feng Xia
2019 J jnl
Multimodal deep representation learning for protein interaction identification and protein family classification.
BMC Bioinform.
Da Zhang, Mansur R. Kabuka
2018 — conf
Multimodal Deep Representation Learning for Protein-Protein Interaction Networks.
BIBM
Da Zhang, Mansur R. Kabuka
2018 — conf
Protein Family Classification with Multi-Layer Graph Convolutional Networks.
BIBM
Da Zhang, Mansur R. Kabuka
2017 — conf
Combining Weather Condition Data to Predict Traffic Flow: A GRU Based Deep Learning Approach.
DASC/PiCom/DataCom/CyberSciTech
Da Zhang, Mansur R. Kabuka
2017 — conf
Parallelization of Conjunctive Query Answering over Ontologies.
SIMBig (Revised Selected Papers)
E. Patrick Shironoshita, Da Zhang, Mansur R. Kabuka, Jia Xu
2017 — conf
Parallelization of Query Processing over Expressive Ontologies.
SIMBig
E. Patrick Shironoshita, Da Zhang, Mansur R. Kabuka, Jia Xu
2017 — conf
Top-K Entity Units Retrieval Over Big Data.
WWW (Companion Volume)
Da Zhang, Mansur R. Kabuka
2011 J jnl
Energy-efficient opportunistic localization with indoor wireless sensor networks.
Comput. Sci. Inf. Syst.
Feng Xia, Xue Yang, Haifeng Liu, Da Zhang, Wenhong Zhao
2010 J jnl
Localization Technologies for Indoor Human Tracking
CoRR
Da Zhang, Feng Xia, Zhuo Yang, Lin Yao, Wenhong Zhao