| 2024 | COMPSAC | PMCS: Partition-Based Maximal Frequent Subgraph Mining Using MCS. | Vani Sancheti, Lini T. Thomas, Vikram Pudi |
| 2022 | AAAI | Extraction of Competing Models using Distant Supervision and Graph Ranking. | Swayatta Daw, Vikram Pudi |
| 2022 | COLING | CitRet: A Hybrid Model for Cited Text Span Retrieval. | Amit Pandey, Avani Gupta, Vikram Pudi |
| 2022 | NAACL | Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers. | Vivek Kumar, Rishabh Maheshwary, Vikram Pudi |
| 2021 | AAAI | Generating Natural Language Attacks in a Hard Label Black Box Setting. | Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi |
| 2021 | AAAI | A Context Aware Approach for Generating Natural Language Attacks. | Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi |
| 2021 | EMNLP | Adversarial Examples for Evaluating Math Word Problem Solvers. | Vivek Kumar, Rishabh Maheshwary, Vikram Pudi |
| 2021 | EMNLP | A Strong Baseline for Query Efficient Attacks in a Black Box Setting. | Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi |
| 2020 | SIGIR | Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated Problems. | Kritika Agrawal, Vikram Pudi |
| 2019 | ECIR | Mining Intellectual Influence Associations. | Tejas Shah, Vikram Pudi |
| 2019 | WSDM | Sequential Variational Autoencoders for Collaborative Filtering. | Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi |
| 2018 | ECIR | Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation. | Kartik Gupta, Noveen Sachdeva, Vikram Pudi |
| 2018 | RecSys | Attentive neural architecture incorporating song features for music recommendation. | Noveen Sachdeva, Kartik Gupta, Vikram Pudi |
| 2017 | AAAI | WikiSeq: Mining Maximally Informative Simple Sequences from Wikipedia. | Goutam Nair, Vikram Pudi |
| 2017 | ECIR | Paper2vec: Combining Graph and Text Information for Scientific Paper Representation. | Soumyajit Ganguly, Vikram Pudi |
| 2017 | ICDM | AutoLearn - Automated Feature Generation and Selection. | Ambika Kaul, Saket Maheshwary, Vikram Pudi |
| 2017 | ICDM | Controversy Detection Using Reactions on Social Media. | Allaparthi Sriteja, Prakhar Pandey, Vikram Pudi |
| 2017 | IJCNLP | Injecting Word Embeddings with Another Language's Resource : An Application of Bilingual Embeddings. | Prakhar Pandey, Vikram Pudi, Manish Shrivastava |
| 2016 | DSAA | Mining Research Problems from Scientific Literature. | Chanakya Aalla, Vikram Pudi |
| 2016 | WWW | Author2Vec: Learning Author Representations by Combining Content and Link Information. | Ganesh J, Soumyajit Ganguly, Manish Gupta, Vasudeva Varma, Vikram Pudi |
| 2015 | ICDM | Dispersion Based Similarity for Mining Similar Papers in Citation Network. | Saksham Singhal, Vikram Pudi |
| 2014 | DSAA | A semisupervised associative classification method for POS tagging. | Pratibha Rani, Vikram Pudi, Dipti Misra Sharma |
| 2013 | PAKDD | CLUEKR : CLUstering Based Efficient | Harshit Dubey, Vikram Pudi |
| 2013 | PAKDD | Class Based Weighted K-Nearest Neighbor over Imbalance Dataset. | Harshit Dubey, Vikram Pudi |
| 2012 | ADMA | Topic-Centric Recommender Systems for Bibliographic Datasets. | Aditya Pratap Singh, Kumar Shubhankar, Vikram Pudi |
| 2012 | ESANN | RNN Based Batch Mode Active Learning Framework. | Gaurav Maheshwari, Vikram Pudi |
| 2012 | IC3K | BINGR: Binary Search based Gaussian Regression. | Harshit Dubey, Saket Bharambe, Vikram Pudi |
| 2011 | DEXA | An Efficient Algorithm for Topic Ranking and Modeling Topic Evolution. | Kumar Shubhankar, Aditya Pratap Singh, Vikram Pudi |
| 2011 | IC3K | Detecting Correlations between Hot Days in News Feeds. | Raghvendra Mall, Nahil Jain, Vikram Pudi |
| 2011 | IC3K | Utilizing Term Proximity based Features to Improve Text Document Clustering. | Shashank Paliwal, Vikram Pudi |
| 2011 | PAKDD | DISC: Data-Intensive Similarity Measure for Categorical Data. | Aditya Desai, Himanshu Singh, Vikram Pudi |
| 2011 | WWW | Fuzzy associative rule-based approach for pattern mining and identification and pattern-based classification. | Ashish Mangalampalli, Vikram Pudi |
| 2011 | WWW | A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns. | Ashish Mangalampalli, Adwait Ratnaparkhi, Andrew O. Hatch, Abraham Bagherjeiran, Rajesh Parekh, Vikram Pudi |
| 2010 | COMAD | A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling. | Bhanukiran Vinzamuri, Vikram Pudi |
| 2010 | DaWaK | Specialty Mining. | Hanuma Kumar, Rohit Paravastu, Vikram Pudi |
| 2010 | DEXA | PAGER: Parameterless, Accurate, Generic, Efficient | Himanshu Singh, Aditya Desai, Vikram Pudi |
| 2010 | IC3K | SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression. | Aditya Desai, Himanshu Singh, Vikram Pudi |
| 2010 | ICTAI | PERFICT: Perturbed Frequent Itemset Based Classification Technique. | Raghvendra Mall, Prakhar Jain, Vikram Pudi |
| 2010 | KDD | Evolutionary clustering using frequent itemsets. | Ravi Shankar, G. V. R. Kiran, Vikram Pudi |
| 2010 | KES | Frequent Itemset Based Hierarchical Document Clustering Using Wikipedia as External Knowledge. | Kiran G. V. R., Ravi Shankar, Vikram Pudi |
| 2009 | COMAD | Variations and Trends in Hot Topics in News Feeds. | Raghvendra Mall, Neeraj Bagdia, Vikram Pudi |
| 2008 | COMAD | REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences. | Pratibha Rani, Vikram Pudi |
| 2008 | DASFAA | Uniqueness Mining. | Rohit Paravastu, Hanuma Kumar, Vikram Pudi |
| 2008 | DASFAA | Is There really Anything Beyond Frequent Patterns, Classification and Clustering in Data Mining? | Vikram Pudi |
| 2008 | ICDM | RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences. | Pratibha Rani, Vikram Pudi |
| 2007 | MMM | Efficient Search with Changing Similarity Measures on Large Multimedia Datasets. | Nataraj Jammalamadaka, Vikram Pudi, C. V. Jawahar |
| 2005 | ALT | ACME: An Associative Classifier Based on Maximum Entropy Principle. | Risivardhan Thonangi, Vikram Pudi |
| 2005 | DASFAA | Using Prefix-Trees for Efficiently Computing Set Joins. | Ravindranath Jampani, Vikram Pudi |
| 2003 | ICDE | Generalized Closed Itemsets for Association Rule Mining. | Vikram Pudi, Jayant R. Haritsa |
| 2003 | PAKDD | Reducing Rule Covers with Deterministic Error Bounds. | Vikram Pudi, Jayant R. Haritsa |
| 2002 | ICDE | How Good Are Association-Rule Mining Algorithms? | Vikram Pudi, Jayant R. Haritsa |
| 2002 | PAKDD | On the Efficiency of Association-Rule Mining Algorithms. | Vikram Pudi, Jayant R. Haritsa |