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ORCIDZhe Huang 0001
Person information
- affiliation: AT&T Labs Research, USA
- affiliation (former): Princeton University, NJ, USA
- affiliation (Ph.D.): Hong Kong University of Science and Technology, Hong Kong, SAR, China
Other persons with the same name
- Zhe Huang — disambiguation page
- Zhe Huang 0002
![[0000-0002-3170-9341]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3170-9341")
— Shenyang Pharmaceutical University, Shenyang, China - Zhe Huang 0003 — Xidian University, Xi'an, China
- Zhe Huang 0004 — City University of Hong Kong, Hong Kong, SAR, China
- Zhe Huang 0005 — New York University, Center for Data Science, New York, NY, USA
- Zhe Huang 0006 — University of Wisconsin-Madison, Madison, WI, USA
- Zhe Huang 0007 — Memorial University of Newfoundland, St. John's, Canada (and 1 more)
- Zhe Huang 0008 — University of Dayton, Dayton, OH, USA
- Zhe Huang 0009 — Hubei Cen-Tronic Import and Export Co., LTD, Wuhan, China
- Zhe Huang 0010 — University of Illinois at Urbana-Champaign, IL, USA
- Zhe Huang 0011 — University of Electronic Science & Technology of China, Chengdu, China
- Zhe Huang 0012 — Tianjin University, Tianjin, China
- Zhe Huang 0013 — Kandao Technology
- Zhe Huang 0014 — South China University of Technology, China
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2020 – today
- 2024
[j9]Xiaoxi Zhang, Jinhang Zuo, Zhe Huang, Zhi Zhou, Xu Chen, Carlee Joe-Wong:
Learning With Side Information: Elastic Multi-Resource Control for the Open RAN. IEEE J. Sel. Areas Commun. 42(2): 295-309 (2024)- 2021
- [c14]Azzam Alsudais, Shankaranarayanan Puzhavakath Narayanan, Bharath Balasubramanian, Zhe Huang, Eric Keller:
StepNet: A Compositional Framework with Reduced Querying for Homing Complex Network Services. IM 2021: 19-27 - 2020
- [j8]Enrique Saurez, Bharath Balasubramanian, Richard D. Schlichting, Brendan Tschaen, Shankaranarayanan Puzhavakath Narayanan, Zhe Huang, Umakishore Ramachandran:
A Drop-in Middleware for Serializable DB Clustering across Geo-distributed Sites. Proc. VLDB Endow. 13(12): 3340-3353 (2020) - [j7]Yuxuan Jiang, Zhe Huang, Danny H. K. Tsang:
On Power-Peak-Aware Scheduling for Large-Scale Shared Clusters. IEEE Trans. Big Data 6(2): 412-426 (2020)
2010 – 2019
- 2019
- [c13]Jiasi Chen, Bharath Balasubramanian, Zhe Huang:
Liv(e)-ing on the Edge: User-Uploaded Live Streams Driven by "First-Mile" Edge Decisions. EDGE 2019: 41-50 - [c12]Azzam Alsudais, Mohammad Hashemi, Zhe Huang, Bharath Balasubramanian, Shankaranarayanan Puzhavakath Narayanan, Eric Keller, Kaustubh Joshi:
FOCUS: Scalable Search Over Highly Dynamic Geo-distributed State. ICDCS 2019: 2134-2144 - 2018
- [j6]Yuxuan Jiang, Zhe Huang, Danny H. K. Tsang:
Challenges and Solutions in Fog Computing Orchestration. IEEE Netw. 32(3): 122-129 (2018) - [j5]Yuxuan Jiang, Zhe Huang, Danny H. K. Tsang:
Towards Max-Min Fair Resource Allocation for Stream Big Data Analytics in Shared Clouds. IEEE Trans. Big Data 4(1): 130-137 (2018) - [j4]Bo Sun, Zhe Huang, Xiaoqi Tan, Danny H. K. Tsang:
Optimal Scheduling for Electric Vehicle Charging With Discrete Charging Levels in Distribution Grid. IEEE Trans. Smart Grid 9(2): 624-634 (2018) - [c11]Azzam Alsudais, Zhe Huang, Bharath Balasubramanian, Shankaranarayanan Puzhavakath Narayanan, Eric Keller, Kaustubh Joshi:
NodeFinder: Scalable Search over Highly Dynamic Geo-distributed State. HotCloud 2018 - [c10]Enrique Saurez, Bharath Balasubramanian, Richard D. Schlichting, Brendan Tschaen, Zhe Huang, Shankaranarayanan Puzhavakath Narayanan, Umakishore Ramachandran:
METRIC: A Middleware for Entry Transactional Database Clustering at the Edge. MECC@Middleware 2018: 2-7 - 2017
- [c9]Zhe Huang, Bharath Balasubramanian, Azzam Alsudais, Kaustubh Joshi:
An edge-facilitated message broker for scalable device discovery: poster. SEC 2017: 25:1-25:2 - [c8]Yushi Sun, Catherine Y. Zeng, Jaeyoon Chung, Zhe Huang:
Online data deduplication for in-memory big-data analytic systems. ICC 2017: 1-7 - [c7]Zhe Huang, S. Matthew Weinberg, Liang Zheng, Carlee Joe-Wong, Mung Chiang:
Discovering valuations and enforcing truthfulness in a deadline-aware scheduler. INFOCOM 2017: 1-9 - 2016
- [j3]Zhe Huang, Danny H. K. Tsang:
M-Convex VM Consolidation: Towards a Better VM Workload Consolidation. IEEE Trans. Cloud Comput. 4(4): 415-428 (2016) - [c6]Zhe Huang, Bharath Balasubramanian, Michael Wang, Tian Lan, Mung Chiang, Danny H. K. Tsang:
RUSH: A RobUst ScHeduler to Manage Uncertain Completion-Times in Shared Clouds. ICDCS 2016: 242-251 - 2015
- [c5]Yuxuan Jiang, Zhe Huang, Danny H. K. Tsang:
Do You Feel the Lag of Your Hadoop? BigDataService 2015: 115-119 - [c4]Zhe Huang, Bharath Balasubramanian, Michael Wang, Tian Lan, Mung Chiang, Danny H. K. Tsang:
Need for speed: CORA scheduler for optimizing completion-times in the cloud. INFOCOM 2015: 891-899 - 2014
- [j2]Vamsi Krishna Tumuluru, Zhe Huang, Danny H. K. Tsang:
Integrating Price Responsive Demand Into the Unit Commitment Problem. IEEE Trans. Smart Grid 5(6): 2757-2765 (2014) - [j1]Samira Niafar, Zhe Huang, Danny H. K. Tsang:
An Optimal Standard-Compliant MIMO Scheduler for LTE Downlink. IEEE Trans. Wirel. Commun. 13(5): 2412-2421 (2014) - 2012
- [c3]Zhe Huang, Danny H. K. Tsang:
SLA guaranteed virtual machine consolidation for computing clouds. ICC 2012: 1314-1319 - [c2]Zhe Huang, Danny H. K. Tsang, James She:
A virtual machine consolidation framework for MapReduce enabled computing clouds. ITC 2012: 1-8
2000 – 2009
- 2008
- [c1]Hao Luan, Kin Wah Kwong, Zhe Huang, Danny H. K. Tsang:
P2P Live Streaming Towards Best Video Quality. CCNC 2008: 458-463
Coauthor Index
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last updated on 2024-11-07 21:31 CET by the dblp team
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