List of Papers Published in Conference

  1. Arun Chauhan, Utsav Tiwari, and Vikram NR, “Post Training Mixed Precision Quantization of Neural Networks using First-Order Information”, in proceedings of Workshop on Resource Efficient Deep Learning for Computer Vision, ICCV, pp. 1335-1344, 2023. Link
  2. Shobhan Kumar, Arun Chauhan, and Pavan “Augmenting eBooks with recommended questions using contrastive fine-tuned T5”, in proceedings of 19th International Conference on Natural Language Processing (ICON), pp. 109–115, 2022. Link
  3. Shobhan Kumar, Arun Chauhan, and Pavan “Learning enhancement using Question-Answer generation for e-book using contrastive fine-tuned T5”, in proceedings of 10th International Conference on Big Data Analytics (BDA), pp. 68-87, 2022. Link
  4. Arun Chauhan, Jagadish D. N., and Lakshman Mahto, “Multimodality Data Fusion for COVID-19 Diagnosis”, in Special Session on HealthCare Data at IEEE Bigdata, pp. 4659-4666, 2021. Link
  5. Shankar, Sunil Saumya, and Arun Chauhan, “Hate or Non-hate: Translation based hate speech identification in Code-Mixed Hinglish data set” in workshop on Deviant Activities on Social Media at IEEE Bigdata, pp. 2470-2475, 2021. Link
  6. Shankar, Sunil Saumya, and Arun Chauhan, “mBERT based model for identification of offensive content in south Indian languages” in ACM proceedings of the 13th Forum for Information Retrieval Evaluation (FIRE), 2021. Link
  7. Shobhan Kumar and Arun Chauhan, “A FineTuned language model for Recommending cQAQAs for enriching Textbooks”, in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 423-435, 2021. Link
  8. Jagadish D. N., Arun Chauhan and Lakshman Mahto, “Autonomous Vehicle Path Prediction using Conditional Variational Autoencoder Networks”, in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 129-139, 2021. Link
  9. Jagadish D. N., Arun Chauhan and Lakshman Mahto, “Deep Learning Techniques for Autonomous Vehicle Path Prediction”, in AI4UM, AAAI workshop on AI for Urban Mobility Workshop, 2021. Link
  10. Arun Chauhan et. al., “Predicting Mental Health of Scholars Using Contextual Word Embedding”, in 8th IEEE International Conference on Computing for Sustainable Global Development (INDIACom), pp. 923-930, 2021. Link
  11. Arun Chauhan et. al., “Identifying Distracted Students using Computer Vision and Statistical Methods”, in 8th IEEE International Conference on Computing for Sustainable Global Development (INDIACom), pp. 791-797, 2021. Link
  12. Lakhman Mahto and Arun Chauhan, “An approximate gradient based hyper-parameter optimization in a neural network architecture”, in NeurIPS (NIPS) 12th workshop on Optimization in Machine Learning (OPTML), 2020. Link
  13. Jagadish D. N., Lakshman Mahto and Arun Chauhan, “Deep Learning and Density Based Clustering Methods for Road Traffic Prediction”, in 5th IAPR International Conference on Computer Vision & Image Processing (CVIP), pp. 344-355, 2020. Link
  14. Arun Chauhan, Shobhan, Lakshman and Jagadish, “Detection of Reckless Driving using Deep Learning”, 19th IEEE International Conference on Machine Learning and Application (ICMLA), pp. 853-858, 2020. Link
  15. Shobhan Kumar and Arun Chauhan, “Recommending Question-Answers for enriching Textbooks”, in proceedings of 8th International Conference on Big Data Analytics (BDA), pp. 308-328, 2020. Link
  16. Shobhan Kumar and Arun Chauhan, “Making Kids Learning Joyful using Artistic Style Transferred YouTube VCs”, in proceedings of 32nd IEEE, TENCON 2020-2020 IEEE Region 10 Conference (TENCON), pp. 1106-1111, Osaka, Japan, 2020. Link
  17. Jagadish, Lakshman and Arun Chauhan, “Density Based Clustering Methods for Road Traffic Estimation”, in proceedings of 32nd IEEE, TENCON 2020-2020 IEEE Region 10 Conference (TENCON), pp. 885-890, Osaka, Japan, 2020. Link
  18. Shobhan Kumar and Arun Chauhan, “Enriching textbooks by Question-Answers using cQA”, in proceedings of 31st IEEE, TENCON 2019-2019 IEEE Region 10 Conference (TENCON), pp. 707-714, 2019. Link
  19. Arun Chauhan, Durga Toshniwal and Ravi Tejwani, "Predicting future place of visit using user's personality profile," in proceedings of IEEE International Conference on Computational Techniques in Information and Communication Technologies, New Delhi, pp. 427-432, 2016. Link
  20. Arun Chauhan, Shashidhar G. Koolagudi, Sabin Kafley and K. Sreenivasa Rao, "Emotion recognition using LP residual", Students' Technology Symposium (TechSym), 2010 IEEE, pp 255-261, 3-4 April 2010. Link
  21. Sabin Kafley, Anil Vuppala, Arun Chauhan and K. Sreenivasa Rao, "Continuous digit recognition in mobile environment," Students' Technology Symposium (TechSym), 2010 IEEE, pp. 217-222, 2010. Link