Sanguthevar Rajasekaran

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 77

Top Venues

Publications

Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking. CoRR (2024)
Namitha Pais, Nalini Ravishanker, Sanguthevar Rajasekaran
Supervised Dynamic Correlated Topic Model for Classifying Categorical Time Series. Algorithms 17 (7) (2024)
Patrick Toman, Nalini Ravishanker, Nathan Lally, Sanguthevar Rajasekaran
Latent Autoregressive Student-t Prior Process Models to Assess Impact of Interventions in Time Series. Future Internet 16 (1) (2024)
Mohammed G. Albayati, Jalal Faraj, Amy Thompson, Prathamesh Patil, Ravi Gorthala, Sanguthevar Rajasekaran
Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit. Big Data Min. Anal. 6 (2) (2023)
Nachiket Deo, Sanguthevar Rajasekaran, Rany Kamel
Identifying suitable attributes for Record Linkage using Association Analysis. BigData (2023)
Nachiket Deo, Joyanta Basak, Ahmed Soliman, Daniel Weinberg, Rebecca C. Steorts, Sanguthevar Rajasekaran
Novel Blocking Techniques and Distance Metrics for Record Linkage. iiWAS (2023)
Joyanta Basak, Ahmed Soliman, Nachiket Deo, Kenneth Haase, Anup Mathur, Krista Park, Rebecca C. Steorts, Daniel Weinberg, Sartaj Sahni, Sanguthevar Rajasekaran
On Computing the Jaro Similarity Between Two Strings. ISBRA (2023)
Mukul S. Bansal, Ion I. Mandoiu, Marmar Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky
Special Issue: 11th International Computational Advances in Bio and Medical Sciences (ICCABS 2021). J. Comput. Biol. 30 (4) (2023)
Joyanta Basak, Sartaj Sahni, Sanguthevar Rajasekaran
SuperBlocking: An Efficient Blocking Technique for Record Linkage. BigData (2023)
Zigeng Wang, Bingbing Li, Xia Xiao, Tianyun Zhang, Mikhail A. Bragin, Bing Yan, Caiwen Ding, Sanguthevar Rajasekaran
Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning. ISQED (2023)
Patrick Toman, Ahmed Soliman, Nalini Ravishanker, Sanguthevar Rajasekaran, Nathan Lally, Hunter D'Addeo
Understanding Insured Behavior through Causal Impact Analysis of IoT Streams. ISCSIC (2023)
Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran
Variance of the Gradient Also Matters: Privacy Leakage from Gradients. IJCNN (2022)
Ahmed Soliman, Sanguthevar Rajasekaran
FIRLA: a Fast Incremental Record Linkage Algorithm. J. Biomed. Informatics 130 (2022)
Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran
Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification. Big Data (2022)
Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu, Caiwen Ding
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. ACL (1) (2022)
Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
A Secure and Efficient Federated Learning Framework for NLP. CoRR (2022)
Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran
A Novel Pathway Network Analytics Method Based on Graph Theory. J. Comput. Biol. 28 (11) (2021)
Ion I. Mandoiu, T. M. Murali, Giri Narasimhan, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky
Special Issue: 9th International Computational Advances in Bio and Medical Sciences (ICCABS 2019). J. Comput. Biol. 28 (2) (2021)
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
Against Membership Inference Attack: Pruning is All You Need. IJCAI (2021)
Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
A Secure and Efficient Federated Learning Framework for NLP. EMNLP (1) (2021)
Jieren Deng, Yijue Wang, Ji Li, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
TAG: Transformer Attack from Gradient. CoRR (2021)
Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
TAG: Gradient Attack on Transformer-based Language Models. EMNLP (Findings) (2021)
Ahmed Soliman, Sanguthevar Rajasekaran, Patrick Toman, Nalini Ravishanker, Nathan Lally, Hunter D'Addeo
A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection. WF-IoT (2021)
Sumit Kumar Jha, Ion I. Mandoiu, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky
Special Issue: 10th International Computational Advances in Bio and Medical Sciences (ICCABS 2020). J. Comput. Biol. 28 (11) (2021)
Peng Xiao, Xingyu Cai, Sanguthevar Rajasekaran
EMS3: An Improved Algorithm for Finding Edit-Distance Based Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (1) (2021)
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR (2020)
Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran
MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points. CoRR (2020)
Zigeng Wang, Xia Xiao, Sanguthevar Rajasekaran
Novel and efficient randomized algorithms for feature selection. Big Data Min. Anal. 3 (3) (2020)
Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran
SAPAG: A Self-Adaptive Privacy Attack From Gradients. CoRR (2020)
Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran
A Novel Pathway Network Analytics Method Based on Graph Theory. ICCABS (2020)
Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran
MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points. ADMA (2020)
Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi
Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent. J. Parallel Distributed Comput. 143 (2020)
Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran
RSGSA: a Robust and Stable Gene Selection Algorithm. BIBM (2020)
Xia Xiao, Chao Shang, Jinbo Bi, Sanguthevar Rajasekaran
Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding. IJCNN (2020)
Subrata Saha, Zigeng Wang, Sanguthevar Rajasekaran
HMSC: a Hybrid Metagenomic Sequence Classification Algorithm. BCB (2020)
Hussain Albarakati, Reda Ammar, Raafat S. Elfouly, Sanguthevar Rajasekaran
Real-Time Decision Making for Underwater Big Data Applications Using the Apriori Algorithm. ISCC (2019)
Abdullah Baihan, Reda Ammar, Robert H. Aseltine, Mohammed Baihan, Sanguthevar Rajasekaran
Efficient Sequential and Parallel Algorithms for Incremental Record Linkage. ICCABS (2019)
Zigeng Wang, Sanguthevar Rajasekaran
Efficient Randomized Feature Selection Algorithms. HPCC/SmartCity/DSS (2019)
Xingyu Cai, Abdullah-Al Mamun, Sanguthevar Rajasekaran
Efficient Algorithms for Finding the Closest $l$l-Mers in Biological Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (6) (2019)
Zigeng Wang, Abdullah-Al Mamun, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. CIKM (2019)
Subrata Saha, Jethro Johnson, Soumitra Pal, George M. Weinstock, Sanguthevar Rajasekaran
MSC: a metagenomic sequence classification algorithm. Bioinform. 35 (17) (2019)
Badar Almarri, Sanguthevar Rajasekaran, Chun-Hsi Huang
Unsupervised Similarity-based Sensor Selection for Time Series Data. UEMCON (2019)
Hussain Albarakati, Reda Ammar, Raafat S. Elfouly, Sanguthevar Rajasekaran
Geometry-Assisted Multi Surface-Gateways Placement Topologies for Underwater Sensor Networks. ISSPIT (2019)
Xia Xiao, Zigeng Wang, Sanguthevar Rajasekaran
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters. NeurIPS (2019)
Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran
DTWNet: a Dynamic Time Warping Network. NeurIPS (2019)
Abdullah Baihan, Sanguthevar Rajasekaran
Efficient Sequential and Parallel Algorithms for Incremental Record Linkage Using Complete Linkage Clustering. BIBM (2019)
Peng Xiao, Xingyu Cai, Sanguthevar Rajasekaran
Efficient Algorithms for Finding Edit-Distance Based Motifs. AlCoB (2019)
Xingyu Cai, Jinfeng Yi, Fan Zhang, Sanguthevar Rajasekaran
Adversarial Structured Neural Network Pruning. CIKM (2019)
Robert Martin, Sanguthevar Rajasekaran
Information centric approach to analysing security threats and node behaviour in underwater senor networks. Int. J. Secur. Networks 13 (3) (2018)
Xingyu Cai, Shanglin Zhou, Sanguthevar Rajasekaran
JUMP: A Fast Deterministic Algorithm to Find the Closest Pair of Subsequences. SDM (2018)
Peng Xiao, Zigeng Wang, Sanguthevar Rajasekaran
Novel Speedup Techniques for Parallel Singular Value Decomposition. HPCC/SmartCity/DSS (2018)
Xia Xiao, Sanguthevar Rajasekaran
PMGAN: Paralleled Mix-Generator Generative Adversarial Networks with Balance Control. ICANN (3) (2018)
Kenneth F. Lyon, Xingyu Cai, Richard J. Young, Abdullah-Al Mamun, Sanguthevar Rajasekaran, Martin R. Schiller
Minimotif Miner 4: a million peptide minimotifs and counting. Nucleic Acids Res. 46 (Database-Issue) (2018)
Xingyu Cai, Sanguthevar Rajasekaran, Fan Zhang
Efficient Approximate Algorithms for the Closest Pair Problem in High Dimensional Spaces. PAKDD (3) (2018)
Peng Xiao, Xingyu Cai, Sanguthevar Rajasekaran
EMS3: An Improved Algorithm for Finding Edit-distance Based Motifs. ICCABS (2018)
Sudipta Pathak, Xingyu Cai, Sanguthevar Rajasekaran
Ensemble Deep TimeNet: An Ensemble Learning Approach with Deep Neural Networks for Time Series. ICCABS (2018)
Abdullah-Al Mamun, Zigeng Wang, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. CoRR (2018)
Marius Nicolae, Sanguthevar Rajasekaran
On pattern matching with k mismatches and few don't cares. Inf. Process. Lett. 118 (2017)
Sanguthevar Rajasekaran, Subrata Saha, Xingyu Cai
Novel Exact and Approximate Algorithms for the Closest Pair Problem. ICDM (2017)
Robert Martin, Sanguthevar Rajasekaran, Zheng Peng
Aqua-Sim Next Generation: An NS-3 Based Underwater Sensor Network Simulator. WUWNet (2017)
Xingyu Cai, Abdullah-Al Mamun, Sanguthevar Rajasekaran
Novel algorithms for finding the closest l-mers in biological data. BIBM (2017)
Peng Xiao, Soumitra Pal, Sanguthevar Rajasekaran
Randomised sequential and parallel algorithms for efficient quorum planted motif search. Int. J. Data Min. Bioinform. 18 (2) (2017)
Peng Xiao, Sanguthevar Rajasekaran
Efficient exact algorithms for LDD motif search. ICCABS (2017)
Sanguthevar Rajasekaran, Subrata Saha
Efficient Algorithms for the Two Locus Problem in Genome-Wide Association Study: Algorithms for the Two Locus Problem. CIKM (2016)
Abdullah-Al Mamun, Soumitra Pal, Sanguthevar Rajasekaran
-mer Counter based on Multiple Burst Trees. Bioinform. 32 (18) (2016)
Abdullah-Al Mamun, Sanguthevar Rajasekaran
An efficient Minimum Spanning Tree algorithm. ISCC (2016)
Subrata Saha, Sanguthevar Rajasekaran
POMP: a powerful splice mapper for RNA-seq reads. BCB (2016)
Sanguthevar Rajasekaran, Subrata Saha
Efficient Algorithms for the Three Locus Problem in Genome-Wide Association Study. ICDM (2016)
Aljoharah Algwaiz, Sanguthevar Rajasekaran, Reda Ammar
Data mining using Probabilistic Grammars. ISSPIT (2016)
Sanguthevar Rajasekaran, Marius Nicolae
An Error Correcting Parser for Context Free Grammars that Takes Less Than Cubic Time. LATA (2016)
Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi
Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent. CoRR (2016)
Marius Nicolae, Sanguthevar Rajasekaran
On pattern matching with k mismatches and few don't cares. CoRR (2016)
Subrata Saha, Sanguthevar Rajasekaran
Authors' response to 'Comment on: ERGC: An efficient Referential Genome Compression Algorithm'. Bioinform. 32 (7) (2016)
Soumitra Pal, Sudipta Pathak, Sanguthevar Rajasekaran
On Speeding-Up Parallel Jacobi Iterations for SVDs. HPCC/SmartCity/DSS (2016)
Sherif Tolba, Reda Ammar, Sanguthevar Rajasekaran
Taking swarms to the field: Constrained Spiral Flocking for underwater search. ISCC (2016)
Subrata Saha, Sanguthevar Rajasekaran
NRGC: a novel referential genome compression algorithm. Bioinform. 32 (22) (2016)
Peng Xiao, Soumitra Pal, Sanguthevar Rajasekaran
qPMS10: A randomized algorithm for efficiently solving quorum Planted Motif Search problem. BIBM (2016)
Soumitra Pal, Sanguthevar Rajasekaran
Improved algorithms for finding edit distance based motifs. BIBM (2015)
Subrata Saha, Sanguthevar Rajasekaran
ERGC: an efficient referential genome compression algorithm. Bioinform. 31 (21) (2015)
Subrata Saha, Sanguthevar Rajasekaran, Rampi Ramprasad
Novel Randomized Feature Selection Algorithms. Int. J. Found. Comput. Sci. 26 (3) (2015)
Kishori M. Konwar, Sanguthevar Rajasekaran, Alexander A. Shvartsman
Robust network supercomputing with unreliable workers. J. Parallel Distributed Comput. 75 (2015)
Mai A. Hamdalla, Reda A. Ammar, Sanguthevar Rajasekaran
A molecular structure matching approach to efficient identification of endogenous mammalian biochemical structures. BMC Bioinform. 16 (S-5) (2015)
Manal Alharbi, Sanguthevar Rajasekaran
Disjunctive combined causal rules mining. ISSPIT (2015)
Manal Alharbi, Sanguthevar Rajasekaran
Conjunctive combined causal rules mining. ISSPIT (2015)
Marius Nicolae, Sanguthevar Rajasekaran
On String Matching with Mismatches. Algorithms 8 (2) (2015)
Mai Hamdalla, Sanguthevar Rajasekaran, David F. Grant, Ion I. Mandoiu
Metabolic Pathway Predictions for Metabolomics: A Molecular Structure Matching Approach. J. Chem. Inf. Model. 55 (3) (2015)
Subrata Saha, Sanguthevar Rajasekaran
EC: an efficient error correction algorithm for short reads. BMC Bioinform. 16 (S17) (2015)
Sherif Tolba, Reda A. Ammar, Sanguthevar Rajasekaran
Taking swarms to the field: A framework for underwater mission planning. ISCC (2015)
Sanguthevar Rajasekaran, Srinivas Aluru, David A. Bader
HiCOMB Introduction and Committees. IPDPS Workshops (2015)
Subrata Saha, Sanguthevar Rajasekaran
HECTOR: a novel paradigm for correcting short reads. BCB (2015)
Manal Al-Bzoor, Yibo Zhu, Jun Liu, Reda A. Ammar, Jun-Hong Cui, Sanguthevar Rajasekaran
An adaptive power controlled routing protocol for underwater sensor network. Int. J. Sens. Networks 18 (3/4) (2015)
Subrata Saha, Sanguthevar Rajasekaran
NRRC: A Non-referential Reads Compression Algorithm. ISBRA (2015)
Robert Martin, Yibo Zhu, Lina Pu, Fei Dou, Zheng Peng, Jun-Hong Cui, Sanguthevar Rajasekaran
Aqua-Sim Next Generation: A NS-3 Based Simulator for Underwater Sensor Networks. WUWNet (2015)
Aljoharah Algwaiz, Sanguthevar Rajasekaran, Reda Ammar
Predicting E. Coli promoters using formal grammars. ISSPIT (2015)
Abdullah-Al Mamun, Soumitra Pal, Sanguthevar Rajasekaran
Efficient techniques for k-mer counting. ICCABS (2015)
Subrata Saha, Sanguthevar Rajasekaran
Efficient algorithms for the compression of FASTQ files. BIBM (2014)
Manal Al-Bzoor, Reda A. Ammar, Jun-Hong Cui, Sanguthevar Rajasekaran
Coordinated multi-surface gateway redeployment for enhanced performance in underwater sensor networks. ISCC (2014)
Ayman Alharbi, Reda A. Ammar, Hesham Alhumyani, Sanguthevar Rajasekaran, Jun Hong
Efficient pipeline architectures for Underwater Big data analytic. ISSPIT (2014)
Susana Sargento, Sanguthevar Rajasekaran, Mario A. R. Dantas
Message from the technical program co-chairs. ISCC (2014)
Shibdas Bandyopadhyay, Sartaj Sahni, Sanguthevar Rajasekaran
PMS6: a fast algorithm for motif discovery. Int. J. Bioinform. Res. Appl. 10 (4/5) (2014)

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Publication Activity (10 Years)

Top Topics

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Sanguthevar Rajasekaran