A Novel Method of Extracting and Rendering News Web Sites on Mobile Devices. - Harshit Kumar; Sungjoon Park; Sanggil Kang (KES (1), 2007)

Web Page Dependent Vision Based Segementation for Web Sites. - Pyungkwan Ko; Sanggil Kang; Harshit Kumar (ACIS-ICIS, 2008)

Another Face of Search Engine: Web Search API's. - Harshit Kumar; Sanggil Kang (IEA/AIE, 2008)

A Personalized URL Re-ranking Methodology Using User's Browsing Behavior. - Harshit Kumar; Sungjoon Park; Sanggil Kang (KES-AMSTA, 2008)

Know-Ont: Engineering a Knowledge Ontology for an Enterprise. - Harshit Kumar; Pil Seong Park (FGIT-DTA, 2009)

Mitigation of Large-scale RDF Data Loading with the Employment of a Cloud Computing Service. - Hyun Namgoong; Harshit Kumar; Hong-Gee Kim (KEOD, 2010)

Improving the Workflow of Semantic Web Portals using M/R in Cloud Platform. - Seokchan Yun; Mina Song; Hyun Namgung; Sung-Kwon Yang; Harshit Kumar; Hong-Gee Kim (KEOD, 2010)

Exclusively Your's: Dynamic Individuate Search by Extending User Profile. - Harshit Kumar; Sanggil Kang (New Gener. Comput., 2010)

Using Folksonomies for Building User Interest Profile. - Harshit Kumar; Hong-Gee Kim (UMAP, 2011)

Query-based association rule mining supporting user perspective. - Seung-Jae Song; Eung-Hee Kim; Hong-Gee Kim; Harshit Kumar (Computing, 2011)

Semantically Enriched Clustered User Interest Profile Built from Users' Tweets. - Harshit Kumar; Hong-Gee Kim (AIRS, 2012)

Efficient Fuzzy Ranking for Keyword Search on Graphs. - Nidhi R. Arora; Wookey Lee; Carson Kai-Sang Leung; Jin-Ho Kim; Harshit Kumar (DEXA (1), 2012)

Semantically Enriched User Interest Profile Built from Users' Tweets. - Harshit Kumar; Hong-Gee Kim (ICADL, 2012)

Exploiting social bookmarking services to build clustered user interest profile for personalized search. - Harshit Kumar; Sungin Lee; Hong-Gee Kim (Inf. Sci., 2014)

Dialogue Act Sequence Labeling using Hierarchical encoder with CRF. - Harshit Kumar; Arvind Agarwal; Riddhiman Dasgupta; Sachindra Joshi; Arun Kumar 002 (CoRR, 2017)

Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF. - Harshit Kumar; Arvind Agarwal; Riddhiman Dasgupta; Sachindra Joshi (AAAI, 2018)

Dialogue-act-driven Conversation Model : An Experimental Study. - Harshit Kumar; Arvind Agarwal; Sachindra Joshi (COLING, 2018)

On Finding Suitable Key-Gate Locations In Logic Encryption. - Rajit Karmakar; Harshit Kumar; Santanu Chattopadhyay (ISCAS, 2018)

Fairness In Reciprocal Recommendations: A Speed-Dating Study. - Yong Zheng 001; Tanaya Dave; Neha Mishra; Harshit Kumar (UMAP (Adjunct Publication), 2018)

A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection. - Harshit Kumar; Arvind Agarwal; Sachindra Joshi (EMNLP/IJCNLP (1), 2019)

Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns. - Abhishek Sharma; Danish Contractor; Harshit Kumar; Sachindra Joshi (CoRR, 2019)

Neural Conversational QA: Learning to Reason vs Exploiting Patterns. - Nikhil Verma; Abhishek Sharma; Dhiraj Madan; Danish Contractor; Harshit Kumar; Sachindra Joshi (EMNLP (1), 2020)

BiasP: a DVFS based exploit to undermine resource allocation fairness in linux platforms. - Harshit Kumar; Nikhil Chawla; Saibal Mukhopadhyay (ISLPED, 2020)

VeeAlign: a supervised deep learning approach to ontology alignment. - Vivek Iyer; Arvind Agarwal; Harshit Kumar (OM@ISWC, 2020)

Multifaceted Context Representation using Dual Attention for Ontology Alignment. - Vivek Iyer; Arvind Agarwal; Harshit Kumar (CoRR, 2020)

A system for proactive risk assessment of application changes in cloud operations. - Raghav Batta; Larisa Shwartz; Michael Nidd; Amar Prakash Azad; Harshit Kumar (CLOUD, 2021)

Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. - Harshit Kumar; Nikhil Chawla; Saibal Mukhopadhyay (DAC, 2021)

VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment. - Vivek Iyer; Arvind Agarwal; Harshit Kumar (EMNLP (1), 2021)

FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. - Jinho Hwang; Larisa Shwartz; Qing Wang 016; Raghav Batta; Harshit Kumar; Michael Nidd (ICSE (SEIP), 2021)

Log Anomaly to Resolution: AI Based Proactive Incident Remediation. - Ruchi Mahindru; Harshit Kumar; Sahil Bansal (ASE, 2021)

IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes. - Harshit Kumar; Jinang Shah; Nidhi Hegde 002; Priyanshu Gupta; Vaibhav Jindal; Ashutosh Modi (SemEval@ACL/IJCNLP, 2021)

Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. - Amar Prakash Azad; Supriyo Ghosh; Ajay Gupta; Harshit Kumar; Prateeti Mohapatra (CoRR, 2021)

Securing IoT Devices Using Dynamic Power Management: Machine Learning Approach. - Nikhil Chawla; Arvind Singh; Harshit Kumar; Monodeep Kar; Saibal Mukhopadhyay (IEEE Internet Things J., 2021)

Efficient Key-Gate Placement and Dynamic Scan Obfuscation Towards Robust Logic Encryption. - Rajit Karmakar; Harshit Kumar; Santanu Chattopadhyay (IEEE Trans. Emerg. Top. Comput., 2021)

Machine Learning in Wavelet Domain for Electromagnetic Emission Based Malware Analysis. - Nikhil Chawla; Harshit Kumar; Saibal Mukhopadhyay (IEEE Trans. Inf. Forensics Secur., 2021)

Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. - Amar Prakash Azad; Supriyo Ghosh; Ajay Gupta; Harshit Kumar; Prateeti Mohapatra; Lena Eckstein; Leonard Posner; Robert Kern (AAAI, 2022)

Unsupervised Hebbian Learning on Point Sets in StarCraft II. - Beomseok Kang; Harshit Kumar; Saurabh Dash; Saibal Mukhopadhyay (IJCNN, 2022)

Metadata-based retrieval for resolution recommendation in AIOps. - Harshit Kumar; Ruchi Mahindru; Debanjana Kar (ESEC/SIGSOFT FSE, 2022)

XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection. - Harshit Kumar; Biswadeep Chakraborty; Sudarshan Sharma; Nikhil Chawla; Saibal Mukhopadhyay (CoRR, 2022)

Forecasting local behavior of multi-agent system and its application to forest fire model. - Beomseok Kang; Minah Lee; Harshit Kumar; Saibal Mukhopadhyay (CoRR, 2022)

Ensemble Rumor Text Classification Model Applied to Different Tweet Features. - Amit Kumar Sharma 002; Rakshith Alaham Gangeya; Harshit Kumar; Sandeep Chaurasia; Devesh Kumar Srivastava (Int. J. Fuzzy Log. Intell. Syst., 2022)

Machine-Learning Prospects for Detecting Selection Signatures Using Population Genomics Data. - Harshit Kumar; Manjit Panigrahi; Anuradha Panwar; Divya Rajawat; Sonali Sonejita Nayak; K. A. Saravanan; Kaiho Kaisa; Subhashree Parida; Bharat Bhushan; Triveni Dutt (J. Comput. Biol., 2022)

Hole Transport Layer Free Photovoltaic Cell Based on Inorganic Perovskite for Indoor Energy Harvesting for IoT Applications. - Harshit Kumar; Nikhil Deep Gupta (ANTS, 2023)

Learning Representations on Logs for AIOps. - Pranjal Gupta; Harshit Kumar; Debanjana Kar; Karan Bhukar; Pooja Aggarwal; Prateeti Mohapatra (CLOUD, 2023)

End-to-End Deep Reinforcement Learning for Conversation Disentanglement. - Karan Bhukar; Harshit Kumar; Dinesh Raghu; Ajay Gupta (AAAI, 2023)

AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. - Santosh Palaskar; Vijay Ekambaram; Arindam Jati; Neelamadhav Gantayat; Avirup Saha; Seema Nagar; Nam H. Nguyen; Pankaj Dayama 001; Renuka Sindhgatta; Prateeti Mohapatra; Harshit Kumar; Jayant Kalagnanam; et al. (CoRR, 2023)

XMD: An Expansive Hardware-Telemetry-Based Mobile Malware Detector for Endpoint Detection. - Harshit Kumar; Biswadeep Chakraborty; Sudarshan Sharma; Saibal Mukhopadhyay (IEEE Trans. Inf. Forensics Secur., 2023)

Self Adjusting Log Observability for Cloud Native Applications. - Divya Pathak; Mudit Verma; Aishwariya Chakraborty; Harshit Kumar (CLOUD, 2024)

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. - Santosh Palaskar; Vijay Ekambaram; Arindam Jati; Neelamadhav Gantayat; Avirup Saha; Seema Nagar; Nam H. Nguyen; Pankaj Dayama 001; Renuka Sindhgatta; Prateeti Mohapatra; Harshit Kumar; Jayant Kalagnanam; et al. (AAAI, 2024)

Decentralized Engagement: Blockchain's Lens on Social Media. - Harshit Kumar; Kritagya Upadhyay (BLOCKCHAIN, 2024)

Dynamic- X-Y: A Tool for Learning Dynamic Alert Suppression Policies in AIOps. - Karan Bhukar; Harshit Kumar; Seema Nagar; Pooja Aggarwal; Ian Manning; Rohan R. Arora; Ruchi Mahindru; Amit M. Paradkar; Matthew Thornhill; Stephen Cook; Jack Buggins (COMSNETS, 2024)

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. - Biswadeep Chakraborty; Beomseok Kang; Harshit Kumar; Saibal Mukhopadhyay (ICLR, 2024)

Dynamic Alert Suppression Policy for Noise Reduction in AIOps. - Karan Bhukar; Harshit Kumar; Ruchi Mahindru; Rohan R. Arora; Seema Nagar; Pooja Aggarwal; Amit M. Paradkar (ICSE-SEIP, 2024)

Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems. - Beomseok Kang; Minah Lee; Harshit Kumar; Saibal Mukhopadhyay (IJCNN, 2024)

Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction. - Beomseok Kang; Harshit Kumar; Minah Lee; Biswadeep Chakraborty; Saibal Mukhopadhyay (L4DC, 2024)

Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction. - Harshit Kumar; Biswadeep Chakraborty; Beomseok Kang; Saibal Mukhopadhyay (CoRR, 2024)

Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation. - Harshit Kumar; Sudarshan Sharma; Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2024)

A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks. - Biswadeep Chakraborty; Harshit Kumar; Saibal Mukhopadhyay (CoRR, 2024)

Few-Shot Learning for Structure Extraction from Heterogeneous Log Data. - Pranjal Gupta; Debanjana Kar; Harshit Kumar; Prateeti Mohapatra; Pooja Aggarwal (COMSNETS, 2025)

Demonstration of Dynamic Logging Framework for Cloud Native Environments. - Divya Pathak; Mudit Verma; Aishwariya Chakraborty; Harshit Kumar (COMSNETS, 2025)

A Statistical approach to Event Suppression in Cloud Environments. - Mudit Verma; Harshit Kumar; Pratibha Moogi (COMSNETS, 2025)

Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint. - Harshit Kumar; Beomseok Kang; Biswadeep Chakraborty; Saibal Mukhopadhyay (ICLR, 2025)

LogAn: An LLM-Based Log Analytics Tool with Causal Inferencing. - Pranjal Gupta; Karan Bhukar; Harshit Kumar; Seema Nagar; Prateeti Mohapatra; Debanjana Kar (ICPE (Companion), 2025)

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. - Saurabh Jha; Rohan R. Arora; Yuji Watanabe; Takumi Yanagawa; Yinfang Chen; Jackson Clark; Bhavya; Mudit Verma; Harshit Kumar; Hirokuni Kitahara; Noah Zheutlin; Saki Takano; et al. (CoRR, 2025)

De-Fake: Style based Anomaly Deepfake Detection. - Sudev Kumar Padhi; Harshit Kumar; Umesh Kashyap; Sk Subidh Ali (CoRR, 2025)