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ORCIDKe Zhang 0013
Person information
- affiliation: Dataminr Inc, New York, NY, USA
- affiliation: University of Pittsburgh, School of Information Sciences, PA, USA
Other persons with the same name
- Ke Zhang — disambiguation page
- Ke Zhang 0001
![[0000-0003-2515-1991]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2515-1991")
— Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China (and 1 more) - Ke Zhang 0002 — Wayne State University, Detroit, MI, USA (and 2 more)
- Ke Zhang 0003 — Shanghai Maritime University, Department of Mathematics, China (and 1 more)
- Ke Zhang 0004 — Hohai University, College of Hydrology and Water Resources, Nanjing, China (and 3 more)
- Ke Zhang 0005 — North China Electric Power University, Department of Electronic and Communication Engineering, Baoding, China (and 1 more)
- Ke Zhang 0006 — Chongqing University, College of Automation, China (and 1 more)
- Ke Zhang 0007 — Shaanxi Normal University, Network Information Center, Xi'an, China (and 1 more)
- Ke Zhang 0008 — University of Electronic Science and Technology of China, School of Communication and Information Engineering, Chengdu, China
- Ke Zhang 0009 — Traffic Operation Control Center of Beijing, China
- Ke Zhang 0010 — Shandong University, School of Control Science and Engineering, Jinan, China
- Ke Zhang 0011 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
- Ke Zhang 0012 — Katholieke Universiteit Leuven, Belgium
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2020 – today
- 2020
[c9]Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes:
Unsupervised Detection of Sub-Events in Large Scale Disasters. AAAI 2020: 354-361- [i5]Abhijeet Bhorkar, Ke Zhang, Jin Wang:
DeepAuto: A Hierarchical Deep Learning Framework for Real-Time Prediction in Cellular Networks. CoRR abs/2001.01553 (2020)
2010 – 2019
- 2019
- [i4]Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes:
Unsupervised Detection of Sub-events in Large Scale Disasters. CoRR abs/1912.13332 (2019) - 2018
- [j5]Lei Li, Daqing He, Chengzhi Zhang, Li Geng, Ke Zhang:
Characterizing peer-judged answer quality on academic Q&A sites: A cross-disciplinary case study on ResearchGate. Aslib J. Inf. Manag. 70(3): 269-287 (2018) - [j4]Ke Zhang, Konstantinos Pelechrinis, Theodoros Lappas:
Effects of Promotions on Location-Based Social Media: Evidence from Foursquare. Int. J. Electron. Commer. 22(1): 36-65 (2018) - [i3]Michele Polese, Rittwik Jana, Velin Kounev, Ke Zhang, Supratim Deb, Michele Zorzi:
Machine Learning at the Edge: A Data-Driven Architecture with Applications to 5G Cellular Networks. CoRR abs/1808.07647 (2018) - 2017
- [c8]Li Geng, Ke Zhang, Xinzhou Wei, Xin Feng:
Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition. WACV Workshops 2017: 1-8 - 2016
- [j3]Lei Jin, Xuelian Long, Ke Zhang, Yu-Ru Lin, James B. D. Joshi:
Characterizing users' check-in activities using their scores in a location-based social network. Multim. Syst. 22(1): 87-98 (2016) - [j2]Lei Jin, Ke Zhang, Jianfeng Lu, Yu-Ru Lin:
Towards understanding the gamification upon users' scores in a location-based social network. Multim. Tools Appl. 75(15): 8895-8919 (2016) - [c7]Ke Zhang, Jianwu Xu, Martin Renqiang Min, Guofei Jiang, Konstantinos Pelechrinis, Hui Zhang:
Automated IT system failure prediction: A deep learning approach. BigData 2016: 1291-1300 - [c6]Ke Zhang, Yu-Ru Lin, Konstantinos Pelechrinis:
EigenTransitions with Hypothesis Testing: The Anatomy of Urban Mobility. ICWSM 2016: 486-495 - [c5]Ke Zhang, Konstantinos Pelechrinis:
Do Street Fairs Boost Local Businesses? A Quasi-Experimental Analysis Using Social Network Data. ECML/PKDD (3) 2016: 161-176 - 2015
- [c4]Ke Zhang, Konstantinos Pelechrinis, Theodoros Lappas:
Analyzing and Modeling Special Offer Campaigns in Location-Based Social Networks. ICWSM 2015: 543-552 - [i2]Ke Zhang, Konstantinos Pelechrinis, Theodoros Lappas:
Analyzing and Modeling Special Offer Campaigns in Location-based Social Networks. CoRR abs/1504.02363 (2015) - 2014
- [c3]Ke Zhang, Konstantinos Pelechrinis:
Understanding spatial homophily: the case of peer influence and social selection. WWW 2014: 271-282 - 2013
- [j1]Ke Zhang, Konstantinos Pelechrinis, Prashant Krishnamurthy:
ACM HotMobile 2013 poster: detecting fake check-ins in location-based social networks through honeypot venues. ACM SIGMOBILE Mob. Comput. Commun. Rev. 17(3): 29-30 (2013) - [c2]Ke Zhang, Qiuye Jin, Konstantinos Pelechrinis, Theodoros Lappas:
On the importance of temporal dynamics in modeling urban activity. UrbComp@KDD 2013: 7:1-7:8 - 2012
- [c1]Ke Zhang, Wei Jeng, Francis Fofie, Konstantinos Pelechrinis, Prashant Krishnamurthy:
Towards reliable spatial information in LBSNs. UbiComp 2012: 950-955 - [i1]Konstantinos Pelechrinis, Prashant Krishnamurthy, Ke Zhang:
Gaming the Game: Honeypot Venues Against Cheaters in Location-based Social Networks. CoRR abs/1210.4517 (2012)
Coauthor Index
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