Harshit Kumar

83 papers A* 11A 2B 6C 4Misc 4Journal 34Unranked 22
YearRankTypeTitle / Venue / Authors
2026 — conf
Detecting Silent Failures in Multi-Agentic AI Trajectories (Work In Progress Paper).
ICPE Companion
Divya Pathak, Felix George, Harshit Kumar, Anuska Roy, Kaustabha Ray, Mudit Verma, Pratibha Moogi
2026 J jnl
Fast agreement-driven device-calibrated local learning paradigms for spiking neural networks.
Neural Networks
Saptarshi Bej, Muhammed Sahad E, Gouri Lakshmi, Harshit Kumar, Pritam Kar, Bikas C. Das
2026 A* conf
Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study.
AAAI
Pranjal Gupta, Karan Bhukar, Harshit Kumar, Seema Nagar, Prateeti Mohapatra, Debanjana Kar
2026 J jnl
Supervised Spike Agreement Dependent Plasticity for Fast Local Learning in Spiking Neural Networks.
CoRR
Gouri Lakshmi, Athira Chandrasekharan, Harshit Kumar, Muhammed Sahad E, Bikas C. Das, Saptarshi Bej
2026 — conf
Unsupervised Cycle Detection in Agentic Applications (Work In Progress Paper).
ICPE Companion
Felix George, Divya Pathak, Harshit Kumar, Kaustabha Ray, Mudit Verma, Pratibha Moogi
2025 A* conf
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks.
ICML
Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay
2025 Misc conf
A Statistical approach to Event Suppression in Cloud Environments.
COMSNETS
Mudit Verma, Harshit Kumar, Pratibha Moogi
2025 J jnl
De-Fake: Style based Anomaly Deepfake Detection.
CoRR
Sudev Kumar Padhi, Harshit Kumar, Umesh Kashyap, Sk Subidh Ali
2025 Misc conf
Demonstration of Dynamic Logging Framework for Cloud Native Environments.
COMSNETS
Divya Pathak, Mudit Verma, Aishwariya Chakraborty, Harshit Kumar
2025 J jnl
Detecting Silent Failures in Multi-Agentic AI Trajectories.
CoRR
Divya Pathak, Harshit Kumar, Anuska Roy, Felix George, Mudit Verma, Pratibha Moogi
2025 Misc conf
Few-Shot Learning for Structure Extraction from Heterogeneous Log Data.
COMSNETS
Pranjal Gupta, Debanjana Kar, Harshit Kumar, Prateeti Mohapatra, Pooja Aggarwal
2025 J jnl
From 2D to 3D Without Extra Baggage: Data-Efficient Cancer Detection in Digital Breast Tomosynthesis.
CoRR
Yen Nhi Truong Vu, Dan Guo, Sripad Joshi, Harshit Kumar, Jason Su, Thomas Paul Matthews
2025 A* conf
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint.
ICLR
Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay
2025 A* conf
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.
ICML
Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Jae-wook Ahn, Debanjana Kar, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri
2025 J jnl
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.
CoRR
Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Pavankumar Murali, Jae-wook Ahn, Debanjana Kar, Ameet Rahane, Carlos Fonseca, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri
2025 — conf
LogAn: An LLM-Based Log Analytics Tool with Causal Inferencing.
ICPE (Companion)
Pranjal Gupta, Karan Bhukar, Harshit Kumar, Seema Nagar, Prateeti Mohapatra, Debanjana Kar
2025 J jnl
Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study.
CoRR
Pranjal Gupta, Karan Bhukar, Harshit Kumar, Seema Nagar, Prateeti Mohapatra, Debanjana Kar
2025 J jnl
Spike Agreement Dependent Plasticity: A scalable Bio-Inspired learning paradigm for Spiking Neural Networks.
CoRR
Saptarshi Bej, Muhammed Sahad E, Gouri Lakshmi, Harshit Kumar, Pritam Kar, Bikas C. Das
2025 J jnl
Unsupervised Cycle Detection in Agentic Applications.
CoRR
Felix George, Harshit Kumar, Divya Pathak, Kaustabha Ray, Mudit Verma, Pratibha Moogi
2024 J jnl
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks.
CoRR
Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay
2024 A* conf
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data.
AAAI
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
2024 — conf
Decentralized Engagement: Blockchain's Lens on Social Media.
BLOCKCHAIN
Harshit Kumar, Kritagya Upadhyay
2024 — conf
Dynamic Alert Suppression Policy for Noise Reduction in AIOps.
ICSE-SEIP
Karan Bhukar, Harshit Kumar, Ruchi Mahindru, Rohan R. Arora, Seema Nagar, Pooja Aggarwal, Amit M. Paradkar
2024 Misc conf
Dynamic- X-Y: A Tool for Learning Dynamic Alert Suppression Policies in AIOps.
COMSNETS
Karan Bhukar, Harshit Kumar, Seema Nagar, Pooja Aggarwal, Ian Manning, Rohan R. Arora, Ruchi Mahindru, Amit M. Paradkar, Matthew Thornhill, Stephen Cook, Jack Buggins
2024 J jnl
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction.
CoRR
Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay
2024 — conf
Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction.
L4DC
Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay
2024 B conf
Self Adjusting Log Observability for Cloud Native Applications.
CLOUD
Divya Pathak, Mudit Verma, Aishwariya Chakraborty, Harshit Kumar
2024 A* conf
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN.
ICLR
Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay
2024 J jnl
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN.
CoRR
Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay
2024 B conf
Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems.
IJCNN
Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay
2024 J jnl
Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction.
CoRR
Harshit Kumar, Biswadeep Chakraborty, Beomseok Kang, Saibal Mukhopadhyay
2024 J jnl
Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation.
CoRR
Harshit Kumar, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay
2023 J jnl
AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data.
CoRR
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
2023 A* conf
End-to-End Deep Reinforcement Learning for Conversation Disentanglement.
AAAI
Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta
2023 — conf
Hole Transport Layer Free Photovoltaic Cell Based on Inorganic Perovskite for Indoor Energy Harvesting for IoT Applications.
ANTS
Harshit Kumar, Nikhil Deep Gupta
2023 B conf
Learning Representations on Logs for AIOps.
CLOUD
Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra
2023 J jnl
Learning Representations on Logs for AIOps.
CoRR
Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra
2023 J jnl
XMD: An Expansive Hardware-Telemetry-Based Mobile Malware Detector for Endpoint Detection.
IEEE Trans. Inf. Forensics Secur.
Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Saibal Mukhopadhyay
2022 J jnl
Ensemble Rumor Text Classification Model Applied to Different Tweet Features.
Int. J. Fuzzy Log. Intell. Syst.
Amit Kumar Sharma, Rakshith Alaham Gangeya, Harshit Kumar, Sandeep Chaurasia, Devesh Kumar Srivastava
2022 J jnl
Forecasting local behavior of multi-agent system and its application to forest fire model.
CoRR
Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay
2022 J jnl
Machine-Learning Prospects for Detecting Selection Signatures Using Population Genomics Data.
J. Comput. Biol.
Harshit Kumar, Manjit Panigrahi, Anuradha Panwar, Divya Rajawat, Sonali Sonejita Nayak, K. A. Saravanan, Kaiho Kaisa, Subhashree Parida, Bharat Bhushan, Triveni Dutt
2022 — conf
Metadata-based retrieval for resolution recommendation in AIOps.
ESEC/SIGSOFT FSE
Harshit Kumar, Ruchi Mahindru, Debanjana Kar
2022 A* conf
Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services.
AAAI
Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern
2022 B conf
Unsupervised Hebbian Learning on Point Sets in StarCraft II.
IJCNN
Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay
2022 J jnl
Unsupervised Hebbian Learning on Point Sets in StarCraft II.
CoRR
Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay
2022 J jnl
XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection.
CoRR
Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Nikhil Chawla, Saibal Mukhopadhyay
2021 B conf
A system for proactive risk assessment of application changes in cloud operations.
CLOUD
Raghav Batta, Larisa Shwartz, Michael Nidd, Amar Prakash Azad, Harshit Kumar
2021 J jnl
Efficient Key-Gate Placement and Dynamic Scan Obfuscation Towards Robust Logic Encryption.
IEEE Trans. Emerg. Top. Comput.
Rajit Karmakar, Harshit Kumar, Santanu Chattopadhyay
2021 — conf
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud.
ICSE (SEIP)
Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd
2021 J jnl
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud.
CoRR
Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd
2021 — conf
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes.
SemEval@ACL/IJCNLP
Harshit Kumar, Jinang Shah, Nidhi Hegde, Priyanshu Gupta, Vaibhav Jindal, Ashutosh Modi
2021 A* conf
Log Anomaly to Resolution: AI Based Proactive Incident Remediation.
ASE
Ruchi Mahindru, Harshit Kumar, Sahil Bansal
2021 J jnl
Machine Learning in Wavelet Domain for Electromagnetic Emission Based Malware Analysis.
IEEE Trans. Inf. Forensics Secur.
Nikhil Chawla, Harshit Kumar, Saibal Mukhopadhyay
2021 J jnl
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services.
CoRR
Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra
2021 J jnl
Securing IoT Devices Using Dynamic Power Management: Machine Learning Approach.
IEEE Internet Things J.
Nikhil Chawla, Arvind Singh, Harshit Kumar, Monodeep Kar, Saibal Mukhopadhyay
2021 A* conf
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation.
DAC
Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay
2021 J jnl
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation.
CoRR
Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay
2021 — conf
VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment.
EMNLP (1)
Vivek Iyer, Arvind Agarwal, Harshit Kumar
2020 A conf
BiasP: a DVFS based exploit to undermine resource allocation fairness in linux platforms.
ISLPED
Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay
2020 J jnl
Multifaceted Context Representation using Dual Attention for Ontology Alignment.
CoRR
Vivek Iyer, Arvind Agarwal, Harshit Kumar
2020 — conf
Neural Conversational QA: Learning to Reason vs Exploiting Patterns.
EMNLP (1)
Nikhil Verma, Abhishek Sharma, Dhiraj Madan, Danish Contractor, Harshit Kumar, Sachindra Joshi
2020 — conf
VeeAlign: a supervised deep learning approach to ontology alignment.
OM@ISWC
Vivek Iyer, Arvind Agarwal, Harshit Kumar
2019 — conf
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection.
EMNLP/IJCNLP (1)
Harshit Kumar, Arvind Agarwal, Sachindra Joshi
2019 J jnl
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns.
CoRR
Abhishek Sharma, Danish Contractor, Harshit Kumar, Sachindra Joshi
2018 A* conf
Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF.
AAAI
Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi
2018 B conf
Dialogue-act-driven Conversation Model : An Experimental Study.
COLING
Harshit Kumar, Arvind Agarwal, Sachindra Joshi
2018 — conf
Fairness In Reciprocal Recommendations: A Speed-Dating Study.
UMAP (Adjunct Publication)
Yong Zheng, Tanaya Dave, Neha Mishra, Harshit Kumar
2018 C conf
On Finding Suitable Key-Gate Locations In Logic Encryption.
ISCAS
Rajit Karmakar, Harshit Kumar, Santanu Chattopadhyay
2017 J jnl
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF.
CoRR
Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi, Arun Kumar
2014 J jnl
Exploiting social bookmarking services to build clustered user interest profile for personalized search.
Inf. Sci.
Harshit Kumar, Sungin Lee, Hong-Gee Kim
2012 — conf
Efficient Fuzzy Ranking for Keyword Search on Graphs.
DEXA (1)
Nidhi R. Arora, Wookey Lee, Carson Kai-Sang Leung, Jin-Ho Kim, Harshit Kumar
2012 — conf
Semantically Enriched Clustered User Interest Profile Built from Users' Tweets.
AIRS
Harshit Kumar, Hong-Gee Kim
2012 — conf
Semantically Enriched User Interest Profile Built from Users' Tweets.
ICADL
Harshit Kumar, Hong-Gee Kim
2011 J jnl
Query-based association rule mining supporting user perspective.
Computing
Seung-Jae Song, Eung-Hee Kim, Hong-Gee Kim, Harshit Kumar
2011 A conf
Using Folksonomies for Building User Interest Profile.
UMAP
Harshit Kumar, Hong-Gee Kim
2010 J jnl
Exclusively Your's: Dynamic Individuate Search by Extending User Profile.
New Gener. Comput.
Harshit Kumar, Sanggil Kang
2010 C conf
Improving the Workflow of Semantic Web Portals using M/R in Cloud Platform.
KEOD
Seokchan Yun, Mina Song, Hyun Namgung, Sung-Kwon Yang, Harshit Kumar, Hong-Gee Kim
2010 C conf
Mitigation of Large-scale RDF Data Loading with the Employment of a Cloud Computing Service.
KEOD
Hyun Namgoong, Harshit Kumar, Hong-Gee Kim
2009 — conf
Know-Ont: Engineering a Knowledge Ontology for an Enterprise.
FGIT-DTA
Harshit Kumar, Pil Seong Park
2008 — conf
A Personalized URL Re-ranking Methodology Using User's Browsing Behavior.
KES-AMSTA
Harshit Kumar, Sungjoon Park, Sanggil Kang
2008 C conf
Another Face of Search Engine: Web Search API's.
IEA/AIE
Harshit Kumar, Sanggil Kang
2008 — conf
Web Page Dependent Vision Based Segementation for Web Sites.
ACIS-ICIS
Pyungkwan Ko, Sanggil Kang, Harshit Kumar
2007 — conf
A Novel Method of Extracting and Rendering News Web Sites on Mobile Devices.
KES (1)
Harshit Kumar, Sungjoon Park, Sanggil Kang