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Divyesh Jadav

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2020 – today

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2023
[c25]
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Wenqi Wei, Mu Qiao, Divyesh Jadav:
GNN-Ensemble: Towards Random Decision Graph Neural Networks. IEEE Big Data 2023: 956-965
[c24]
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Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei:
Invisible Watermarking for Audio Generation Diffusion Models. TPS-ISA 2023: 193-202
[i3]
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  - journals/corr/abs-2303-11376
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Wenqi Wei, Mu Qiao, Divyesh Jadav:
GNN-Ensemble: Towards Random Decision Graph Neural Networks. CoRR abs/2303.11376 (2023)
[i2]
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Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei:
Invisible Watermarking for Audio Generation Diffusion Models. CoRR abs/2309.13166 (2023)
2022
[c23]
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Wenqi Wei, Mu Qiao, Eric Butler, Divyesh Jadav:
Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks. IEEE Big Data 2022: 2423-2430
[c22]
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Luis Angel D. Bathen, Divyesh Jadav:
Trustless AutoML for the Age of Internet of Things. ICBC 2022: 1-3
[c21]
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Luis Angel D. Bathen, Divyesh Jadav:
TrustlessNAS: Towards Trustless Network Architecture Search. SOSE 2022: 117-125
[c20]
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Luis Angel D. Bathen, Divyesh Jadav:
Smart Contracts in the Cloud. SVCC 2022: 74-89
2021
[e2]
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Younghee Park, Divyesh Jadav, Thomas H. Austin:
Silicon Valley Cybersecurity Conference - First Conference, SVCC 2020, San Jose, CA, USA, December 17-19, 2020, Revised Selected Papers. Communications in Computer and Information Science 1383, Springer 2021, ISBN 978-3-030-72725-3 [contents]
2020
[c19]
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Yuya Jeremy Ong, Mu Qiao, Divyesh Jadav:
Temporal Tensor Transformation Network for Multivariate Time Series Prediction. IEEE BigData 2020: 1594-1603
[c18]
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Luis Angel D. Bathen, German H. Flores, Divyesh Jadav:
RiderS: Towards a Privacy-Aware Decentralized Self-Driving Ride-sharing Ecosystem. DAPPS 2020: 32-41
[e1]
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Jie Xu, Stefan Schulte, Peter Ruppel, Axel Küpper, Divyesh Jadav:
2nd IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2020, Oxford, UK, August 3-6, 2020. IEEE 2020, ISBN 978-1-7281-6978-1 [contents]
[i1]
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  - journals/corr/abs-2001-01051
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Yuya Jeremy Ong, Mu Qiao, Divyesh Jadav:
Temporal Tensor Transformation Network for Multivariate Time Series Prediction. CoRR abs/2001.01051 (2020)

2010 – 2019

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2019
[c17]
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  - conf/blockchain2/MadlBFJ19
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Gabor Madl, Luis Angel D. Bathen, German H. Flores, Divyesh Jadav:
Formal Verification of Smart Contracts Using Interface Automata. Blockchain 2019: 556-563
[c16]
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Luis Angel D. Bathen, German H. Flores, Gabor Madl, Divyesh Jadav, Andreas Arvanitis, Krishna Santhanam, Connie Zeng, Alan Gordon:
SelfIs: Self-Sovereign Biometric IDs. CVPR Workshops 2019: 2847-2856
2018
[c15]
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Preethi Anantharaman, Mu Qiao, Divyesh Jadav:
Large Scale Predictive Analytics for Hard Disk Remaining Useful Life Estimation. BigData Congress 2018: 251-254
2017
[j8]
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Yu Deng, Kaoutar El Maghraoui, Thomas D. Griffin, Vikas Agarwal, Srikanth G. Tamilselvam, Rahul D. Sharnagat, Tabari H. Alexander, Nicolas E. Gómez, Christopher M. Cramer, Alan Bivens, Divyesh Jadav, Zaman M. Valli-Hasham, Kevin Wahlmeier:
Advanced search system for IT support services. IBM J. Res. Dev. 61(1): 3:27-3:40 (2017)
[j7]
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Eric Butler, Thomas D. Griffin, Divyesh Jadav, H. P. Petersen, A. A. Barabas:
Enterprise storage software lifecycle management system. IBM J. Res. Dev. 61(1): 10:110-10:120 (2017)
[c14]
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  - conf/bigdataservice/KishoreBBVJAG17
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Akhila Kishore, Anhad Bhasin, Arun Balaji, Chandrasekar Vuppalapati, Divyesh Jadav, Preethi Anantharaman, Shrutee Gangras:
CENSE: A Cognitive Navigation System for People with Special Needs. BigDataService 2017: 198-203
[c13]
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  - conf/mobilecloud/FloresGJ17
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German H. Flores, Thomas D. Griffin, Divyesh Jadav:
An iBeacon Training App for Indoor Fingerprinting. MobileCloud 2017: 173-176
2016
[c12]
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Adegboyega Akinsiku, Divyesh Jadav:
BeaSmart: A beacon enabled smarter workplace. NOMS 2016: 1269-1272
[c11]
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Sunhwan Lee, Anca Chandra, Divyesh Jadav:
An Empirical Study on Hybrid Recommender System with Implicit Feedback. PAKDD (1) 2016: 514-526
2011
[c10]
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Sandip Agarwala, Divyesh Jadav, Luis Angel D. Bathen:
iCostale: Adaptive Cost Optimization for Storage Clouds. IEEE CLOUD 2011: 436-443
2010
[c9]
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Sandip Agarwala, Luis Angel D. Bathen, Divyesh Jadav, Ramani Routray:
Configuration discovery and monitoring middleware for enterprise datacenters. NOMS 2010: 639-646

2000 – 2009

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2009
[c8]
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Sandip Agarwala, Luis Angel D. Bathen, Divyesh Jadav, Ramani Routray:
ParaDisE: parallel discovery engine for enterprise datacenters. ICAC 2009: 51-52
2008
[j6]
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Sandeep Gopisetty, Sandip Agarwala, Eric Butler, Divyesh Jadav, Stefan Jaquet, Madhukar R. Korupolu, Ramani Routray, Prasenjit Sarkar, Aameek Singh, Miriam Sivan-Zimet, Chung-Hao Tan, Sandeep Uttamchandani, David Merbach, Sumant Padbidri, Andreas Dieberger, Eben M. Haber, Eser Kandogan, Cheryl A. Kieliszewski, Dakshi Agrawal, Murthy V. Devarakonda, Kang-Won Lee, Kostas Magoutis, Dinesh C. Verma, Norbert G. Vogl:
Evolution of storage management: Transforming raw data into information. IBM J. Res. Dev. 52(4-5): 341-352 (2008)
2003
[c7]
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  - conf/iwqos/GoyalJMT03
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Pawan Goyal, Divyesh Jadav, Dharmendra S. Modha, Renu Tewari:
CacheCOW: QoS for Storage System Caches. IWQoS 2003: 498-515
[c6]
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  - conf/srds/ChamblissAPJXML03
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David D. Chambliss, Guillermo A. Alvarez, Prashant Pandey, Divyesh Jadav, Jian Xu, Ram Menon, Tzongyu P. Lee:
Performance Virtualization for Large-Scale Storage Systems. SRDS 2003: 109-118

1990 – 1999

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1999
[j5]
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Divyesh Jadav, Alok N. Choudhary, P. Bruce Berra:
Techniques for Increasing the Stream Capacity of A High-Performance Multimedia Server. IEEE Trans. Knowl. Data Eng. 11(2): 284-302 (1999)
1997
[j4]
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Divyesh Jadav, Alok N. Choudhary, P. Bruce Berra:
An Evaluation of Design Trade-Offs in a High-Performance, Media-on-Demand Server. Multim. Syst. 5(1): 53-68 (1997)
[j3]
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Divyesh Jadav, Chutimet Srinilta, Alok N. Choudhary:
Batching and Dynamic Allocation Techniques for Increasing the Stream Capacity of an On-Demand Media Server. Parallel Comput. 23(12): 1727-1742 (1997)
[c5]
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Chutimet Srinilta, Divyesh Jadav, Alok N. Choudhary:
Design and Evaluation of Data Storage and Retrieval Strategies in a Distributed Memory Continuous Media Server. IPPS 1997: 360-367
[c4]
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Divyesh Jadav, Monish Gupta, M. Seetha Lakshmi:
Caching Large Database Objects in Web Servers. RIDE 1997: 10-19
[c3]
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Chutimet Srinilta, Divyesh Jadav, Alok N. Choudhary:
Techniques for Increasing the Stream Capacity of a Multimedia Server. RIDE 1997: 122-130
1996
[c2]
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Divyesh Jadav, Alok N. Choudhary:
Techniques for increasing the stream capacity of a multimedia server. HiPC 1996: 43-48
1995
[j2]
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Divyesh Jadav, Alok N. Choudhary:
Designing and implementing high-performance media-on-demand servers. IEEE Parallel Distributed Technol. Syst. Appl. 3(2): 29-39 (1995)
[j1]
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Divyesh Jadav, Chutimet Srinilta, Alok N. Choudhary, P. Bruce Berra:
Techniques for Scheduling I/O in a High Performance Multimedia-on-Demand Server. J. Parallel Distributed Comput. 30(2): 190-203 (1995)
[c1]
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Divyesh Jadav, Chutimet Srinilta, Alok N. Choudhary, P. Bruce Berra:
Design and Evaluation of Data Access Stratecies in a High Performance Multimedia-on-Demand Server. ICMCS 1995: 286-291

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