Amol Ghoting
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
13
Active years
2001–2024
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | KDD | LiGNN: Graph Neural Networks at LinkedIn. | Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng Du, Xiaochen Hou, Chengming Jiang, Nitin Pasumarthy, Priya Bannur, Birjodh Singh Tiwana, Ping Liu, Siddharth Dangi, Daqi Sun, Zhoutao Pei, Xiao Shi, Sirou Zhu, Qianqi Shen, Kuang-Hsuan Lee, David Stein, Baolei Li, Haichao Wei, Amol Ghoting, Souvik Ghosh |
| 2024 | KDD | LiRank: Industrial Large Scale Ranking Models at LinkedIn. | Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh |
| 2020 | ICML | ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications. | Kinjal Basu, Amol Ghoting, Rahul Mazumder, Yao Pan |
| 2019 | WWW | SWeG: Lossless and Lossy Summarization of Web-Scale Graphs. | Kijung Shin, Amol Ghoting, Myunghwan Kim, Hema Raghavan |
| 2012 | KDD | Large-scale distributed non-negative sparse coding and sparse dictionary learning. | Vikas Sindhwani, Amol Ghoting |
| 2012 | KDD | A framework for summarizing and analyzing twitter feeds. | Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan Parthasarathy |
| 2011 | EuroPar | Introduction. | Salvatore Orlando, Gabriel Antoniu, Amol Ghoting, Mara S. Prez |
| 2011 | ICDE | SystemML: Declarative machine learning on MapReduce. | Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan |
| 2011 | KDD | NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce. | Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan |
| 2009 | SC | Indexing genomic sequences on the IBM Blue Gene. | Amol Ghoting, Konstantin Makarychev |
| 2009 | SC | PFunc: modern task parallelism for modern high performance computing. | Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine |
| 2009 | SIGMOD | Serial and parallel methods for i/o efficient suffix tree construction. | Amol Ghoting, Konstantin Makarychev |
| 2006 | KDD | Out-of-core frequent pattern mining on a commodity PC. | Gregory Buehrer, Srinivasan Parthasarathy, Amol Ghoting |
| 2006 | SDM | Fast Mining of Distance-Based Outliers in High Dimensional Datasets. | Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey |
| 2005 | DaMoN | A Characterization of Data Mining Workloads on a Modern Processor. | Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey |
| 2005 | ICS | Design of a next generation sampling service for large scale data analysis applications. | Huai Wang, Srinivasan Parthasarathy, Amol Ghoting, Shirish Tatikonda, Gregory Buehrer, Tahsin M. Kur, Joel H. Saltz |
| 2005 | VLDB | Cache-conscious Frequent Pattern Mining on a Modern Processor. | Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey |
| 2004 | ICDM | LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets. | Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy |
| 2003 | KDD | Towards NIC-based intrusion detection. | Matthew Eric Otey, Srinivasan Parthasarathy, Amol Ghoting, G. Li, Sundeep Narravula, Dhabaleswar K. Panda |
| 2001 | HCI | Analysis of haptic data for sign language recognition. | Cyrus Shahabi, Leila Kaghazian, Soham Mehta, Amol Ghoting, Gautam Shanbhag, Margaret McLaughlin |