1.  Navneet Goyal, Yashvardhan Sharma, Susheel Kumar Zaveri,  ‘Improved Bitmap Indexing Strategy for Data Warehouses’, Proceedings of 9^th International Conference on Information Technology (ICIT), Bhubaneshwar, IEEE Computer Society Press, 18^th -21^st December, pp 213-216, 2006.

2. Yashvardhan Sharma, Navneet Goyal, Som Ranjan Satpathy, ‘New Approach to overcome the complexity issues raised by Simple Bitmap Indexing’, Proceedings of International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CIS²E 06), 4^th -14^th December, Bridgeport, USA, Springer, pp.501-503, 2006.

3. Yashvardhan Sharma, ‘Effective Usage of Metadata in Data Warehousing’, Proceedings of 2^nd National Conference on Information & Emerging Technologies(NCIET), Ropar, Punjab, 7^th – 8^th September, pp. 97-105, 2007.

4. Yashvardhan Sharma and Navneet Goyal, ‘Data Mining Algorithms with Bitmap Indexes’, Proceedings of National Conference  On Emerging Trends In Information Technology(NCETIT), Indore, 18^th – 20^th December , pp. 316-320, 2007.

5. Yashvardhan Sharma and Navneet Goyal, ‘An Efficient Multi-Component Indexing Embedded Bitmap Compression for Data Reorganization’, Information Technology Journal, Asian Network for Scientific Information Publications, Vol 7, No. 1, ISSN 1812-5638, pp.160-164   , 2008.

6. Navneet Goyal and Yashvardhan Sharma, ‘New binning strategy for bitmap indices on high cardinality attributes’, Proceedings of the 2nd Bangalore ACM Compute Conference, Bangalore, India, Article No. 22  , ISBN:978-1-60558-476-8, 2009

7. Yashvardhan Sharma, Raghib Nasri, Kumar Aksand , Anshul Tuteja, e-Learning Implementation using Service Oriented Architecture , CIT Journal of Research, Volume 1, No. 2, AUG 2010(pp.35-39)

8. Yashvardhan Sharma, Prasanta Bhattacharya, Abhilash R., Vasanth Kumar V.

Multi-agent Systems: A Novel Perspective

2010 IRAST International Congress on Computer Applications and Computational Science (CACS 2010),4-6 December, 2010, Singapore,ISBN:978-981-08-6847-5,pp. 595-601

9. Yashvardhan Sharma, Prasanta Bhattacharya, Query optimization in spatio-temporal warehouses with query-sensitive storage , international Conference on Computer Engineering and Technology (ICCET’10), In association with IEEE, 13-14 November 2010, organized by Jodhpur Institute of Engineering & Technology, Jodhpur (Raj.), India

10. Yashvardhan Sharma,  Ch Abhishek, A Novel Method for Retrieving Data from a Spatio-Temporal Data Warehouse, 2^nd National Conference on Applications and Trends in Data Warehousing, Data Mining and Data Modeling (DWDM2010). September 24-25, 2010 , Thapar University, Patiala

11. Arindam Paul, Varuni Ganesan, Jagat Sesh Challa, Yashvardhan Sharma, HADCLEAN: A Hybrid Approach to DataCleaning in Data Warehouses, International Conference on Information Retrieval & Knowledge Management, Kuala Lumpur, Malaysia, 13-15 March 2012,IEEE Cat. No. CFP12821-CDRISBN 978-1-4673-1089-5, pp.136 – 142

12. Yashvardhan Sharma, Soft Computing Particle Swarm Optimization based Approach for Class Responsibility Assignment Problem, International Journal of Computer Applications, Vol. 40, No. 12, February, 2012,pp. 19-24

13.  Yashvardhan Sharma, Raghib Nasri and Kumar Askand,   Building a Data Warehousing Infrastructure based on Service Oriented Architecture,  International Conference on Cloud Computing Technologies, Applications and Management 2012 (ICCCTAM-12), December 8-10, BITS-Pilani Dubai Campus, Dubai, 2012, pp. 82-87.

 14. Yashvardhan Sharma, Saurabh Verma, Sumit Kumar, Shivam U., “A Context-Based Performance Enhancement Algorithm for Columnar Storage in MapReduce with Hive”, International Journal of Cloud Applications and Computing,Volume 3, No. 4, December 2013, pp. 38-50.

 15. D. Bhatia, V.K. Choudhary, Y. Sharma, TwiBiNG: A Bipartite News Generator Using Twitter. Proceedings of SNOW 2014 Data Challenge, 2014, pp. 70-76.

 16.  Yashvardhan Sharma, Sheetal Sisodia, “Temperature Prediction based on Fuzzy Time Series and MTPSO with Automatic Clustering Algorithm”, 2nd International Symposium on Computational and Business Intelligence (ISCBI-II 2014) New Delhi, India, December 7-8, 2014, pp.32-36.

 17. Yashvardhan Sharma, D. Bhatia, “Near Real Time Data Warehouse with Priority Updates”, 2nd Workshop on Smarter Planet and Big Data Analytics, 16^th International Conference on Distributed Computing and Networking (ICDCN 2015), Goa, Inida, January 4-7 , 2015, pp. 7-12

 18.Yashvardhan Sharma, Mayank Garg, Ekansh Mittal, “Political Opinion Mining from Twitter”, International Journal of Information Systems in the Service Sector (IJISSS), Vol 8 (4), 2016, pp. 47-56.

 

19. Rupal Bhargava ,Yashvardhan Sharma, “Analyzing Sentiments through text summarization”, International Conference on Evidence Based Management 2015 (ICEBM 2015) March 20-21, 2015, pp. 769- 772.

 

20. Rupal Bhargava ,Yashvardhan Sharma, “Analyzing Sentiments through text summarization”, National Conference on  Emerging Trends of Research in Applied Sciences, Experimental & Computational Techniques(ERRASECT’15), 20-21 February, 2015, pp 37-41.

 21. Yashvardhan Sharma, Jigar Bhatt, Rachit Magon, “A Multi Criteria Review-Based Hotel Recommendation System”, in IEEE Proceedings of the International Workshop on Social Media Mining and Analysis (SMMA-2015) in conjunction with 15^th IEEE International Conference on Computer and Information Technology (CIT-2015), Liverpool, England, UK, 26-28 October 2015, pp. 687-691.

22. Rupal Bhargava, Yashvardhan Sharma, Shubham Sharma, Abhinav Baid, "Query Labelling for Indic Languages using a hybrid approach". In workshop proceedings of Forum of Information Retrieval and Evaluation 2015, CEUR Workshop Proceedings, ISSN 1613-0073, Vol 1587, December 2015, pp. 40-42.

 23. Yashvardhan Sharma , “Effort Estimation for Program Modification in Object Oriented Development”, 16th International Conference on Computational Science and Its Applications (ICCSA 2016) , Beijing, China, (Springer)Part IV, LNCS 9789, July 4 - 7, 2016, pp. 334–345.

 24. Rupal Bhargava, Yashvardhan Sharma, Gargi Sharma, “ATSSI: Abstractive Text Summarization using Sentiment Infusion”, In proceedings of Twelfth International Multi Conference on Information Processing, (Elsevier) Procedia Computer Science, Vol 89C, August 2016, pp. 404-411.

 25. Rupal Bhargava, Yashvardhan Sharma, Shubham Sharma, “Sentiment Analysis for Mixed Script Indic Sentences”, In proceedings of Fifth International Conference on Advances in Computing, Communications & Informatics (Fifth International Symposium on Natural Language Processing) , (IEEE),September 2016, pp.538-543.

45.  Rupal Bhargava, Gargi sharma, Yashvardhan Sharma, “Deep Text Summarization using Generative Adversarial Networks in Indian Languages”, International Conference on Computational Intelligence and Data Science (ICCIDS 2019), published in Procedia Computer Science (Elsevier) , pp. 147-153, 6^th-07^th September, 2019.

 

46. Akankshya Mishra, Yashvardhan Sharma, “Language Identification and Context-based Analysis of Code-switching Behaviors in Social Media Discussions” IEEE BigData Conference   Los Angeles, CA, USA, pp. 5951-5956, December 9-12, 2019.

 47.Ritu Arora,Anand Wani,Ankur Vineet,Bhavik Dhandhalya,Yashvardhan Sharma,Sanjay Goel, "Continuous Conflict Prediction during Collaborative Software Development: A step-before Continuous Integration", Proceedings of the 3rd International Conference on Software Engineering and Information Management, ICSIM '20,ACM Publications, Sydney NSW Australia 12-15 January, pp. 105-109,2020, ISBN:978-1-4503-7690-7 https://dl.acm.org/doi/abs/10.1145/3378936.3378951

 48. Harsh Sinha, Sakshi Kalra, and Yashvardhan Sharma, “Text-Convolutional Neural Networks for Fake News Detection in Tweets”, 8^th International Conference on

Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), National Institute of Technology Karnataka, Surathkal, Karnatka, India,  January 4 - 5, pp. 81-90, 2020,

 49. Tarun Kumar and Yashvardhan Sharma, “Character aware Models with Similarity Learning for Metaphor Detection”, The Second Workshop on Figurative Language Processing FigLang 2020, The 58th Annual Meeting of the Association for Computational Linguistics (ACL) Fig-Lang@ACL 2020 pp.116-125, July 9-10, 2020.

50. Naman Deep Srivastava, Sakshi Kalra and Yashvardhan Sharma, “ Combating Online Hate: A Comparative Study on Identification of Hate Speech and Offensive Content in Social Media Text”, 2020 IEEE Recent Advances in Intelligent Computational Systems (RAICS),IEEE,  3-5 December 2020

51. Yashvardhan Sharma and Asrita Venkata Mandalam. “bits2020@Dravidian­CodeMix­FIRE2020: Sub­Word Level Sentiment Analysis of Dravidian Code Mixed Data.” In: Working Notes of the Forum for Information Retrieval Evaluation (FIRE 2020). CEUR Workshop Proceedings. In: CEUR­-WS. org, Hyderabad, India. 2020,pp. 503-509.

 52. Siva Sai, Yashvardhan Sharma, Siva@HASOC-Dravidian-CodeMix-FIRE-2020: Multilingual Offensive Speech Detection in Code-mixed and Romanized Text, In: Working Notes of the Forum for Information Retrieval Evaluation (FIRE 2020). CEUR Workshop Proceedings. In: CEUR­-WS. org, Hyderabad, India. 2020, pp. 336-443.

 53. Racchit Jain, Abhishek Agarwal and Yashvardhan Sharma, spectre@AILA-FIRE2020: Supervised Rhetorical Role Labeling for Legal Judgments using Transformers, In: Working Notes of the Forum for Information Retrieval Evaluation (FIRE 2020). CEUR Workshop Proceedings. In: CEUR­-WS. org, Hyderabad, India. 2020,pp. 66-70.

 54. Yashvardhan Sharma and Asrita Venkata Mandalam. “Irony Detection in Non­-English Tweets.” In: 2021 IEEE 6th International Conference for Convergence in Technology (I2CT). Pune, India. Apr 02-04, 2021.

55. Ritu Arora, Arun Motilal Maurya and Yashvardhan Sharma, “Application of Java Relationship Graphs (JRG) to plagiarism detection in Java Projects: A Neo4j Graph Database Approach” The 4th International Conference on Software Engineering and Information Management(ICSIM 2021) Yokohama, Japan , January 16-18,pp. 46-51, January 2021. [ACM Publications] https://doi.org/10.1145/3451471.3451479

56. Shaily Bhatt, Naman Goenka , Sakshi Kalra, Yashvardhan Sharma, Fake News Detection: Experiments and Approaches beyond Linguistic Features, 5th International Conference of Data Management, Analytics and Innovation (ICDMAI 2021), Science City Kolkata, Kolkata, India, 15-17 January 2021[Springer Publications]

 57. Abhishek Agarwal, Vijay Kumari, Yashvardhan Sharma, Lavika Goel, “Ranking based Question Answering System with a Web and Mobile Application”,  Proceedings of the Confluence 2021, 11th International Conference on Cloud Computing, Data Science & Engineering,28–29 January 2021, pp. 52-58.

58. Siva Sai, Alfred W. Jacob, Sakshi Kalra, and Yashvardhan Sharma, “Stacked embeddings and multiple fine-tuned XLM-RoBERTa models for Enhanced hostility identification”, Combating Online Hostile Posts in Regional Languages during Emergency Situations (CONSTRAINT-2021) part of The Thirty-Fifth AAAI Conference on Artificial Intelligence, A Virtual Conference Palo Alto, California 94303, USA, February 8-9, 2021 [AAAI Conference Proceedings]

 59..Yashvardhan Sharma , Rupal Bhargava, Bapiraju Vamsi Tadikonda, , "Named Entity Recognition for Code Mixed Social Media Sentences", International Journal of Software Science and Computational Intelligence (IJSSCI) 13(2), pp.. 23-36, 2021 DOI: 10.4018/IJSSCI.2021040102

 60. Kumar N., Mittal V., Sharma Y. (2021) A Three-Fold Machine Learning Approach for Detection of COVID-19 from Audio Data. In Computational Science and Its Applications – ICCSA 2021. Lecture Notes in Computer Science, vol 12951. Springer, Cham. pp 497-511. https://doi.org/10.1007/978-3-030-86970-0_35

 61. Jain, V., Kaliyar, R. K., Goswami, A., Narang, P., & Sharma, Y. AENeT: an attention-enabled neural architecture for fake news detection using contextual features. Neural computing & applications, pp. 1-12, 2021.

 62. Ritu Arora; ARUN MOTILAL MAURYA; YASHVARDHAN SHARMA; MANOJ KANNAN,  “A comprehensive framework and tool for supporting Progressive Learning of Software Development in Academic Learning Environment”, Computer Applications in Engineering Education, Vol 30, Issue 2, pp. 362-383, March 2022 DOI: https://doi.org/10.1002/cae.22460

63. Vidit Jain,Rohit Kumar Kaliyar,Pratik Narang,Anurag Goswami,Yashvardhan Sharma, “An Attention Enabled Neural Architecture for Fake News Detection using Contextual Features   ”, Neural Computing and Applications (NCAA), 1-12, 2021

 64. Bhatt S., Goenka N., Kalra S., Sharma Y. (2022) Fake News Detection: Experiments and Approaches Beyond Linguistic Features. In: Sharma N., Chakrabarti A., Balas V.E., Bruckstein A.M. (eds) Data Management, Analytics and Innovation. Lecture Notes on Data Engineering and Communications Technologies, vol 71. Springer, Singapore, pp. 113-128. 2022. https://doi.org/10.1007/978-981-16-2937-2_9

 65. Sai, S., Srivastava, N.D. & Sharma, Y. Explorative Application of Fusion Techniques for Multimodal Hate Speech Detection. SN COMPUT. SCI. 3, 122 (2022). https://doi.org/10.1007/s42979-021-01007-7

 66. Vijay Kumari, Yashvardhan Sharma, Lavika Goel, “A Comparative Analysis of Different BERT Based Models for Document Visual Question Answering.” In 5th International Conference On Computational Intelligence & Data Engineering. (ICCIDE), Springer, VIT-AP University, Andhra Pradesh, INDIA, 12-13 August 2022.

 67. Kalra, Sakshi, Chitneedi Hemanth Sai Kumar, Yashvardhan Sharma, and Gajendra Singh Chauhan, "Multimodal Fake News Detection on Fakeddit Dataset using Transformer-Based Architectures", In 4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences(MIND 2022), Springer, NIT Bhopal, INDIA, 2022, 21-22 August 2022.