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Harshit Kumar
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2020 – today
- 2024
- [c38]Divya Pathak, Mudit Verma, Aishwariya Chakraborty, Harshit Kumar:
Self Adjusting Log Observability for Cloud Native Applications. CLOUD 2024: 482-493 - [c37]Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj:
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. AAAI 2024: 22962-22968 - [c36]Karan Bhukar, Harshit Kumar, Seema Nagar, Pooja Aggarwal, Ian Manning, Rohan Arora, Ruchi Mahindru, Amit M. Paradkar, Matthew Thornhill, Stephen Cook, Jack Buggins:
Dynamic- X-Y: A Tool for Learning Dynamic Alert Suppression Policies in AIOps. COMSNETS 2024: 291-293 - [c35]Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay:
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. ICLR 2024 - [c34]Karan Bhukar, Harshit Kumar, Ruchi Mahindru, Rohan Arora, Seema Nagar, Pooja Aggarwal, Amit M. Paradkar:
Dynamic Alert Suppression Policy for Noise Reduction in AIOps. ICSE-SEIP 2024: 178-188 - [c33]Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay:
Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems. IJCNN 2024: 1-7 - [c32]Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction. L4DC 2024: 1357-1369 - [i15]Harshit Kumar, Biswadeep Chakraborty, Beomseok Kang, Saibal Mukhopadhyay:
Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction. CoRR abs/2402.15163 (2024) - [i14]Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay:
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. CoRR abs/2403.03409 (2024) - [i13]Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction. CoRR abs/2404.06460 (2024) - [i12]Harshit Kumar, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation. CoRR abs/2404.13125 (2024) - 2023
- [j9]Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Saibal Mukhopadhyay:
XMD: An Expansive Hardware-Telemetry-Based Mobile Malware Detector for Endpoint Detection. IEEE Trans. Inf. Forensics Secur. 18: 5906-5919 (2023) - [c31]Harshit Kumar, Nikhil Deep Gupta:
Hole Transport Layer Free Photovoltaic Cell Based on Inorganic Perovskite for Indoor Energy Harvesting for IoT Applications. ANTS 2023: 656-661 - [c30]Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra:
Learning Representations on Logs for AIOps. CLOUD 2023: 155-166 - [c29]Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta:
End-to-End Deep Reinforcement Learning for Conversation Disentanglement. AAAI 2023: 12571-12579 - [i11]Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra:
Learning Representations on Logs for AIOps. CoRR abs/2308.11526 (2023) - [i10]Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj:
AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. CoRR abs/2310.20280 (2023) - 2022
- [j8]Amit Kumar Sharma, Rakshith Alaham Gangeya, Harshit Kumar, Sandeep Chaurasia, Devesh Kumar Srivastava:
Ensemble Rumor Text Classification Model Applied to Different Tweet Features. Int. J. Fuzzy Log. Intell. Syst. 22(3): 325-338 (2022) - [j7]Harshit Kumar, Manjit Panigrahi, Anuradha Panwar, Divya Rajawat, Sonali Sonejita Nayak, K. A. Saravanan, Kaiho Kaisa, Subhashree Parida, Bharat Bhushan, Triveni Dutt:
Machine-Learning Prospects for Detecting Selection Signatures Using Population Genomics Data. J. Comput. Biol. 29(9): 943-960 (2022) - [c28]Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern:
Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. AAAI 2022: 12440-12446 - [c27]Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. IJCNN 2022: 1-8 - [c26]Harshit Kumar, Ruchi Mahindru, Debanjana Kar:
Metadata-based retrieval for resolution recommendation in AIOps. ESEC/SIGSOFT FSE 2022: 1379-1389 - [i9]Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Nikhil Chawla, Saibal Mukhopadhyay:
XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection. CoRR abs/2206.12447 (2022) - [i8]Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. CoRR abs/2207.12323 (2022) - [i7]Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay:
Forecasting local behavior of multi-agent system and its application to forest fire model. CoRR abs/2210.17289 (2022) - 2021
- [j6]Nikhil Chawla, Arvind Singh, Harshit Kumar, Monodeep Kar, Saibal Mukhopadhyay:
Securing IoT Devices Using Dynamic Power Management: Machine Learning Approach. IEEE Internet Things J. 8(22): 16379-16394 (2021) - [j5]Rajit Karmakar, Harshit Kumar, Santanu Chattopadhyay:
Efficient Key-Gate Placement and Dynamic Scan Obfuscation Towards Robust Logic Encryption. IEEE Trans. Emerg. Top. Comput. 9(4): 2109-2124 (2021) - [j4]Nikhil Chawla, Harshit Kumar, Saibal Mukhopadhyay:
Machine Learning in Wavelet Domain for Electromagnetic Emission Based Malware Analysis. IEEE Trans. Inf. Forensics Secur. 16: 3426-3441 (2021) - [c25]Raghav Batta, Larisa Shwartz, Michael Nidd, Amar Prakash Azad, Harshit Kumar:
A system for proactive risk assessment of application changes in cloud operations. CLOUD 2021: 112-123 - [c24]Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay:
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. DAC 2021: 961-966 - [c23]Vivek Iyer, Arvind Agarwal, Harshit Kumar:
VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment. EMNLP (1) 2021: 10780-10792 - [c22]Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd:
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. ICSE (SEIP) 2021: 228-237 - [c21]Ruchi Mahindru, Harshit Kumar, Sahil Bansal:
Log Anomaly to Resolution: AI Based Proactive Incident Remediation. ASE 2021: 1353-1357 - [c20]Harshit Kumar, Jinang Shah, Nidhi Hegde, Priyanshu Gupta, Vaibhav Jindal, Ashutosh Modi:
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes. SemEval@ACL/IJCNLP 2021: 438-444 - [i6]Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd:
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. CoRR abs/2102.09336 (2021) - [i5]Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay:
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. CoRR abs/2103.11519 (2021) - [i4]Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra:
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. CoRR abs/2105.15065 (2021) - 2020
- [c19]Nikhil Verma, Abhishek Sharma, Dhiraj Madan, Danish Contractor, Harshit Kumar, Sachindra Joshi:
Neural Conversational QA: Learning to Reason vs Exploiting Patterns. EMNLP (1) 2020: 7263-7269 - [c18]Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay:
BiasP: a DVFS based exploit to undermine resource allocation fairness in linux platforms. ISLPED 2020: 223-228 - [c17]Vivek Iyer, Arvind Agarwal, Harshit Kumar:
VeeAlign: a supervised deep learning approach to ontology alignment. OM@ISWC 2020: 216-224 - [i3]Vivek Iyer, Arvind Agarwal, Harshit Kumar:
Multifaceted Context Representation using Dual Attention for Ontology Alignment. CoRR abs/2010.11721 (2020)
2010 – 2019
- 2019
- [c16]Harshit Kumar, Arvind Agarwal, Sachindra Joshi:
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection. EMNLP/IJCNLP (1) 2019: 1980-1989 - [i2]Abhishek Sharma, Danish Contractor, Harshit Kumar, Sachindra Joshi:
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns. CoRR abs/1909.03759 (2019) - 2018
- [c15]Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi:
Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF. AAAI 2018: 3440-3447 - [c14]Harshit Kumar, Arvind Agarwal, Sachindra Joshi:
Dialogue-act-driven Conversation Model : An Experimental Study. COLING 2018: 1246-1256 - [c13]Rajit Karmakar, Harshit Kumar, Santanu Chattopadhyay:
On Finding Suitable Key-Gate Locations In Logic Encryption. ISCAS 2018: 1-5 - [c12]Yong Zheng, Tanaya Dave, Neha Mishra, Harshit Kumar:
Fairness In Reciprocal Recommendations: A Speed-Dating Study. UMAP (Adjunct Publication) 2018: 29-34 - 2017
- [i1]Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi, Arun Kumar:
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF. CoRR abs/1709.04250 (2017) - 2014
- [j3]Harshit Kumar, Sungin Lee, Hong-Gee Kim:
Exploiting social bookmarking services to build clustered user interest profile for personalized search. Inf. Sci. 281: 399-417 (2014) - 2012
- [c11]Harshit Kumar, Hong-Gee Kim:
Semantically Enriched Clustered User Interest Profile Built from Users' Tweets. AIRS 2012: 406-416 - [c10]Nidhi R. Arora, Wookey Lee, Carson Kai-Sang Leung, Jin-Ho Kim, Harshit Kumar:
Efficient Fuzzy Ranking for Keyword Search on Graphs. DEXA (1) 2012: 502-510 - [c9]Harshit Kumar, Hong-Gee Kim:
Semantically Enriched User Interest Profile Built from Users' Tweets. ICADL 2012: 333-337 - 2011
- [j2]Seung-Jae Song, Eung-Hee Kim, Hong-Gee Kim, Harshit Kumar:
Query-based association rule mining supporting user perspective. Computing 93(1): 1-25 (2011) - [c8]Harshit Kumar, Hong-Gee Kim:
Using Folksonomies for Building User Interest Profile. UMAP 2011: 438-441 - 2010
- [j1]Harshit Kumar, Sanggil Kang:
Exclusively Your's: Dynamic Individuate Search by Extending User Profile. New Gener. Comput. 28(1): 73-94 (2010) - [c7]Seokchan Yun, Mina Song, Hyun Namgung, Sung-Kwon Yang, Harshit Kumar, Hong-Gee Kim:
Improving the Workflow of Semantic Web Portals using M/R in Cloud Platform. KEOD 2010: 485-488 - [c6]Hyun Namgoong, Harshit Kumar, Hong-Gee Kim:
Mitigation of Large-scale RDF Data Loading with the Employment of a Cloud Computing Service. KEOD 2010: 489-492
2000 – 2009
- 2009
- [c5]Harshit Kumar, Pil Seong Park:
Know-Ont: Engineering a Knowledge Ontology for an Enterprise. FGIT-DTA 2009: 66-73 - 2008
- [c4]Pyungkwan Ko, Sanggil Kang, Harshit Kumar:
Web Page Dependent Vision Based Segementation for Web Sites. ACIS-ICIS 2008: 690-694 - [c3]Harshit Kumar, Sanggil Kang:
Another Face of Search Engine: Web Search API's. IEA/AIE 2008: 311-320 - [c2]Harshit Kumar, Sungjoon Park, Sanggil Kang:
A Personalized URL Re-ranking Methodology Using User's Browsing Behavior. KES-AMSTA 2008: 212-221 - 2007
- [c1]Harshit Kumar, Sungjoon Park, Sanggil Kang:
A Novel Method of Extracting and Rendering News Web Sites on Mobile Devices. KES (1) 2007: 588-595
Coauthor Index
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last updated on 2024-12-10 20:51 CET by the dblp team
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