Harshit Kumar

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 46

Top Topics

Ontology Alignment

Multiple Instance

Power Management

Top Venues

Publications

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)
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)
Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay
Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction. L4DC (2024)
Harshit Kumar, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay
Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation. CoRR (2024)
Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. CoRR (2024)
Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. ICLR (2024)
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 (2024)
Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction. CoRR (2024)
Karan Bhukar, Harshit Kumar, Seema Nagar, Pooja Aggarwal, Ian Manning, Rohan Arora, Ruchi Mahindru, Amit Paradkar, Matthew Thornhill, Stephen Cook, Jack Buggins
Dynamic- X-Y: A Tool for Learning Dynamic Alert Suppression Policies in AIOps. COMSNETS (2024)
Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra
Learning Representations on Logs for AIOps. CLOUD (2023)
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 (2023)
Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra
Learning Representations on Logs for AIOps. CoRR (2023)
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 (2023)
Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta
End-to-End Deep Reinforcement Learning for Conversation Disentanglement. AAAI (2023)
Harshit Kumar, Nikhil Deep Gupta
Hole Transport Layer Free Photovoltaic Cell Based on Inorganic Perovskite for Indoor Energy Harvesting for IoT Applications. ANTS (2023)
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)
Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay
Unsupervised Hebbian Learning on Point Sets in StarCraft II. CoRR (2022)
Harshit Kumar, Ruchi Mahindru, Debanjana Kar
Metadata-based retrieval for resolution recommendation in AIOps. ESEC/SIGSOFT FSE (2022)
Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Nikhil Chawla, Saibal Mukhopadhyay
XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection. CoRR (2022)
Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay
Forecasting local behavior of multi-agent system and its application to forest fire model. CoRR (2022)
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) (2022)
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) (2022)
Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay
Unsupervised Hebbian Learning on Point Sets in StarCraft II. IJCNN (2022)
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 (2021)
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) (2021)
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)
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)
Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. CoRR (2021)
Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. CoRR (2021)
Ruchi Mahindru, Harshit Kumar, Sahil Bansal
Log Anomaly to Resolution: AI Based Proactive Incident Remediation. ASE (2021)
Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. DAC (2021)
Nikhil Chawla, Harshit Kumar, Saibal Mukhopadhyay
Machine Learning in Wavelet Domain for Electromagnetic Emission Based Malware Analysis. IEEE Trans. Inf. Forensics Secur. 16 (2021)
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) (2021)
Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. ICSE (SEIP) (2021)
Vivek Iyer, Arvind Agarwal, Harshit Kumar
VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment. EMNLP (1) (2021)
Nikhil Verma, Abhishek Sharma, Dhiraj Madan, Danish Contractor, Harshit Kumar, Sachindra Joshi
Neural Conversational QA: Learning to Reason vs Exploiting Patterns. EMNLP (1) (2020)
Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay
BiasP: a DVFS based exploit to undermine resource allocation fairness in linux platforms. ISLPED (2020)
Vivek Iyer, Arvind Agarwal, Harshit Kumar
Multifaceted Context Representation using Dual Attention for Ontology Alignment. CoRR (2020)
Vivek Iyer, Arvind Agarwal, Harshit Kumar
VeeAlign: a supervised deep learning approach to ontology alignment. OM@ISWC (2020)
Harshit Kumar, Arvind Agarwal, Sachindra Joshi
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection. EMNLP/IJCNLP (1) (2019)
Abhishek Sharma, Danish Contractor, Harshit Kumar, Sachindra Joshi
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns. CoRR (2019)
Rajit Karmakar, Harshit Kumar, Santanu Chattopadhyay
On Finding Suitable Key-Gate Locations In Logic Encryption. ISCAS (2018)
Harshit Kumar, Arvind Agarwal, Sachindra Joshi
Dialogue-act-driven Conversation Model : An Experimental Study. COLING (2018)
Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi
Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF. AAAI (2018)
Yong Zheng, Tanaya Dave, Neha Mishra, Harshit Kumar
Fairness In Reciprocal Recommendations: A Speed-Dating Study. UMAP (Adjunct Publication) (2018)
Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi, Arun Kumar
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF. CoRR (2017)
Harshit Kumar, Sungin Lee, Hong-Gee Kim
Exploiting social bookmarking services to build clustered user interest profile for personalized search. Inf. Sci. 281 (2014)
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)
Harshit Kumar, Hong-Gee Kim
Semantically Enriched Clustered User Interest Profile Built from Users' Tweets. AIRS (2012)
Harshit Kumar, Hong-Gee Kim
Semantically Enriched User Interest Profile Built from Users' Tweets. ICADL (2012)
Harshit Kumar, Hong-Gee Kim
Using Folksonomies for Building User Interest Profile. UMAP (2011)
Seung-Jae Song, Eung-Hee Kim, Hong-Gee Kim, Harshit Kumar
Query-based association rule mining supporting user perspective. Computing 93 (1) (2011)
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)
Hyun Namgoong, Harshit Kumar, Hong-Gee Kim
Mitigation of Large-scale RDF Data Loading with the Employment of a Cloud Computing Service. KEOD (2010)
Harshit Kumar, Sanggil Kang
Exclusively Your's: Dynamic Individuate Search by Extending User Profile. New Gener. Comput. 28 (1) (2010)
Harshit Kumar, Pil Seong Park
Know-Ont: Engineering a Knowledge Ontology for an Enterprise. FGIT-DTA (2009)
Pyungkwan Ko, Sanggil Kang, Harshit Kumar
Web Page Dependent Vision Based Segementation for Web Sites. ACIS-ICIS (2008)
Harshit Kumar, Sanggil Kang
Another Face of Search Engine: Web Search API's. IEA/AIE (2008)
Harshit Kumar, Sungjoon Park, Sanggil Kang
A Personalized URL Re-ranking Methodology Using User's Browsing Behavior. KES-AMSTA (2008)
Harshit Kumar, Sungjoon Park, Sanggil Kang
A Novel Method of Extracting and Rendering News Web Sites on Mobile Devices. KES (1) (2007)