Computer Science and Engineering

• Best paper award at CODS-COMAD

Journal
• Exploring Intra-Contextual Influences in Music Emotion Perception by Chaki S., Patnaik P. , Bhattacharya S. Psychology of Music - (Accepted/In-Press)
• A Comparative Data-Driven Study of Intensity-Based Categorical Emotion Representations for MER by Chaki S., Bhattacharya S., Borgohain J., Patnaik P., Mullick R., Karambelkar G. IEEE Transactions on Affective Computing 16 56-67 (2025)
• A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs by Purohit K., Parvathgari A.R., Bhattacharya S. Transactions on Machine Learning Research 2024 - (2024)
• Exploring intra-contextual influences in music emotion perception by Chaki S., Patnaik P., Borgohain J., Mullick R., Karambelkar G., Bhattacharya S. Psychology of Music - (2024)
• CheckSelect: Online Checkpoint Selection for Flexible, Accurate, Robust, and Efficient Data Valuation by Das S., Sagarkar M., Bhattacharya S., Bhattacharya S. IEEE Transactions on Artificial Intelligence - (2024)
• Offsetting Unequal Competition Through RL-Assisted Incentive Schemes by Koley P., Maiti A., Bhattacharya S., Ganguly N. IEEE Transactions on Computational Social Systems - (2022)
• A Comparative Analysis of Machine-learning Models for Solar Flare Forecasting: Identifying High-performing Active Region Flare Indicators by Sinha S., Gupta O., Singh V., Lekshmi B., Nandy D., Mitra D., Chatterjee S., Bhattacharya S., Chatterjee S., Srivastava N., Brandenburg A., Pal S. Astrophysical Journal 935 - (2022)
• Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. by Koley P., Saha A. , Bhattacharya S. , Ganguly N. , De A. ACM Transactions on Knowledge Discovery from Data - (2021)
• A fast scalable distributed kriging algorithm using Spark framework by Misra C., Bhattacharya S. , Ghosh S. K. International Journal of Data Science and Analytics 10 249-264 (2020)
• A fast scalable distributed kriging algorithm using Spark framework by Misra C., Bhattacharya S., Ghosh S.K. International Journal of Data Science and Analytics 10 249-264 (2020)
• Multi-criteria online frame-subset selection for autonomous vehicle videos. by Das S., Mandal S. , Bhoyar A. , Bharde M. , Ganguly N. , Bhattacharya S. , Bhattacharya S. Pattern Recognition Letters 133 349-355 (2020)
• Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark by Misra C., Bhattacharya S. , Ghosh S. K. IEEE Transactions on Big Data 1-12 (2020)
• Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics by De A., Bhattacharya S. , Bhattacharya P. , Ganguly N. , Chakrabarti S. ACM Transactions on the Web (TWEB) 13 1-33 (2019)
• A methodology for customizing clinical tests for esophageal cancer based on patient preferences. by Roy A., Bhattacharya S. , Guin K. Artificial Intelligence in Medicine 95 16-26 (2019)
• Cloud Computing-Based Non-Invasive Glucose Monitoring for Diabetic Care by Pai P. P., Sanki P. K., Sahoo S. K., De A. , Bhattacharya S. , Banerjee S. IEEE Transactions on Circuits and Systems I: Regular Papers 65 663-676 (2018)
• Discriminative Link Prediction using Local, Community, and Global Signals by De A., Bhattacharya S. , Ganguly N. , Chakrabarti S. IEEE Transactions on Knowledge and Data Engineering 28 2057-2070 (2016)
• Comparison of protein structures by growing neighborhood alignments. by Bhattacharya S., Bhattacharyya C. , Chandra N. BMC Bioinformatics 8 - (2007)
• Projections for fast protein structure retrieval. by Bhattacharya S., Bhattacharyya C. , Chandra N. BMC Bioinformatics - (2006)
Conferences
• A Data-Driven Defense Against Edge-Case Model Poisoning Attacks on Federated Learning by Purohit K., Das S., Bhattacharya S., Rana S. Frontiers in Artificial Intelligence and Applications 392 2162-2169 (2024)
• EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning by Purohit K., Venktesh V., Devalla R., Yerragorla K.M., Bhattacharya S., Anand A. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference 5367-5388 (2024)
• Differentiable Change-point Detection With Temporal Point Processes by Koley P., Alimi H., Singla S., Bhattacharya S., Ganguly N., De A. Proceedings of Machine Learning Research 206 6940-6955 (2023)
• Differentiable Change-point Detection With Temporal Point Processes by Koley P., Alimi H. , Singla S. , Bhattacharya S. , Ganguly N. , De A. AISTATS - (2023)
• MTLTS: A multi-task framework to obtain trustworthy summaries from crisis-related microblogs by Mukherjee R., Vishnu U., Peruri H.C., Bhattacharya S., Rudra K., Goyal P., Ganguly N. WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining 755-763 (2022)
• Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit by Purohit K., Parvathgari A. , Das S. , Bhattacharya S. AIML Systems - (2022)
• AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations by Islam S.M., Bhattacharya S. WWW 2022 - Proceedings of the ACM Web Conference 2022 987-998 (2022)
• TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving by Das S., Patibandla H., Bhattacharya S., Bera K., Ganguly N., Bhattacharya S. Proceedings of the IEEE International Conference on Computer Vision 6321-6330 (2021)
• PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction by Mukherjee R., Nayak T., Butala Y., Bhattacharya S., Goyal P. EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings 9279-9291 (2021)
• Finding High-Value Training Data Subset through Differentiable Convex Programming. by Das S., Singh A. , Chatterjee S. , Bhattacharya S. , Bhattacharya S. ECML-PKDD - (2021)
• Finding High-Value Training Data Subset Through Differentiable Convex Programming by Das S., Singh A., Chatterjee S., Bhattacharya S., Bhattacharya S. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12976 LNAI 666-681 (2021)
• Scalable Backdoor Detection in Neural Networks by Harikumar H., Le V., Rana S., Bhattacharya S., Gupta S., Venkatesh S. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12458 LNAI 289-304 (2021)
• Learning Cross-Task Attribute - Attribute Similarity for Multi-task Attribute-Value Extraction by Jain M., Bhattacharya S., Jain H., Shaik K., Chelliah M. ECNLP 2021 - 4th Workshop on e-Commerce and NLP, Proceedings 79-87 (2021)
• Learning Temporal Point Processes with Intermittent Observations. by Gupta V., Bedathur S. , Bhattacharya S. , De A. International Conference on Artificial Intelligence and Statistics - (2021)
• Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews by Mukherjee R., Peruri H.C., Vishnu U., Goyal P., Bhattacharya S., Ganguly N. SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval 1825-1828 (2020)
• Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews by Mukherjee R., Peruri H. C., Vishnu U. , Goyal P. , Bhattacharya S. , Ganguly N. SIGIR 1825-1828 (2020)
• Scalable Backdoor Detection in Neural Networks. by Harikumar H., Lee V. , Rana S. , Bhattacharya S. , Gupta S. , Venkatesh S. ECML PKDD - (2020)
• An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices by Parasrampuria U., Misra C., Bhattacharya S. Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 5798-5800 (2020)
• On Distributed Solution for Simultaneous Linear Symmetric Systems by Misra C., Parasrampuria U., Bhattacharya S., Ghosh S.K. Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 5780-5782 (2020)
• Explaining Perceived Emotion Predictions in Music: An Attentive Approach by Chaki S., Doshi P. , Bhattacharya S. , Patnaik P. ISMIR Conference - (2020)
• Attentive RNNs for continuous-time emotion prediction in music clips by Chaki S., Doshi P., Patnaik P., Bhattacharya S. CEUR Workshop Proceedings 2614 36-46 (2020)
• Probabilistic path planning using obstacle trajectory prediction by Todi V., Sengupta G., Bhattacharya S. ACM International Conference Proceeding Series 36-43 (2019)
• Probabilistic Path Planning using Obstacle Trajectory Prediction by Todi V., Sengupta G. , Bhattacharya S. CODS-COMAD - (2019)
• Probabilistic Path Planning using Obstacle Trajectory Prediction by Todi V., Sengupta G. , Bhattacharya S. CODS-COMAD - (2019)
• Non-link preserving network embedding using subspace learning for network reconstruction by Pandey P.K., Bhattacharya S., Ganguly N. ACM International Conference Proceeding Series 10-17 (2019)
• Non-link Preserving Network Embedding using Subspace Learning for Network Reconstruction by Pandey P., Bhattacharya S. , Ganguly N. CODS-COMAD 10-17 (2019)
• Shaping opinion dynamics in social networks by De A., Bhattacharya S., Ganguly N. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2 1336-1344 (2018)
• Shaping Opinion Dynamics in Social Networks by De A., Bhattacharya S. , Ganguly N. International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 1336-1344 (2018)
• Spin: A fast and scalable matrix inversion method in apache spark by Misra C., Haldar S., Bhattacharya S., Ghosh S.K. ACM International Conference Proceeding Series - (2018)
• SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark by Misra C., Haldar S. , Bhattacharya S. , Ghosh S. K. 19th International Conference on Distributed Computing and Networking 1-10 (2018)
• SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark by Misra C., Haldar S. , Bhattacharya S. , Ghosh S. K. 19th International Conference on Distributed Computing and Networking 1-10 (2018)
• SprIntMap: A system for visualizing interpolating surface using apache spark by Misra C., Bhattacharya S., Ghosh S.K. Advances in Intelligent Systems and Computing 708 315-323 (2018)
• Analyzing Music to Music Perceptual Contagion of Emotion in Clusters of Survey-Takers, Using a Novel Contagion Interface: A Case Study of Hindustani Classical Music by Chaki S., Bhattacharya S., Mullick R., Patnaik P. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11265 LNCS 252-269 (2018)
• Task-specific representation learning for web-scale entity disambiguation by Kar R., Reddy S., Bhattacharya S., Dasgupta A., Chakrabarti S. 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 5812-5819 (2018)
• Task-Specific Representation Learning for Web-scale Entity Disambiguation. by Kar R., Reddy S. , Bhattacharya S. , Dasgupta A. , Chakrabarti S. AAAI conference on Artificial Intelligence - (2018)
• Demarcating endogenous and exogenous opinion diffusion process on social networks by De A., Bhattacharya S., Ganguly N. The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018 549-558 (2018)
• Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks by De A., Bhattacharya S. , Ganguly N. The Web Conference 549-558 (2018)
• Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes by Parmar K., Bushi S. , Bhattacharya S. , Kumar S. CIKM - (2017)
• Link Travel Time Prediction from Large Scale Endpoint Data by Mridha S., Ganguly N. , Bhattacharya S. SIGSPATIAL/GIS 1-4 (2017)
• SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks by Kulkarni B., Agarwal S. , De A. , Bhattacharya S. , Ganguly N. ICDM 931-936 (2017)
• Mining Twitter and Taxi Data for Predicting Taxi Pickup Hotspots by Mridha S., Ghosh S. , Singh R. , Bhattacharya S. , Ganguly N. ASONAM 27-30 (2017)
• Learning and Forecasting Opinion Dynamics in Social Network by De A., Valera I. , Ganguly N. , Bhattacharya S. , Gomez-rodrigue . NIPS - (2016)
• Learning and Forecasting Opinion Dynamics in Social Networks by De A., Valera I. , Ganguly N. , Bhattacharya S. , Rodriguez M. G. NIPS 397-405 (2016)
• Learning a Linear Influence Model from Transient Opinion Dynamics by De A., Bhattacharya S. , Bhattacharya P. , Ganguly N. , Chakraborty S. CIKM 401-410 (2014)
• Segmenting web-domains and hashtags using length specific models. by Srinivasan S., Bhattacharya S. , Chakracorty R. CIKM - (2012)
• Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. by Garg D., Bhattacharya S. , Sundararajan S. , Shevade S. UAI - (2012)
• Robust Formulations for Handling Uncertainty in Kernel Matrices by Bhadra S., Bhattacharya S. , Bhattacharyya C. , Ben-tal A. ICML - (2011)
• Kernels on Attributed Pointsets with Applications. by Parsana M., Bhattacharya S. , Bhattacharyya C. , Chandra N. NeurIPS - (2007)
• Structural alignment based kernels for protein structure classification. by Bhattacharya S., Bhattacharyya C. , Chandra N. ICML - (2007)
Workshop
• VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI by Bhattacharya S., Das S. , Nag S. , Bhattacharya S. International Conference on Learning Representations - (2024)
• Learning Cross-Task Attribute - Attribute Similarity for Multi-task Attribute-Value Extraction by Jain M., Bhattacharya S. , Jain H. , Shaik K. , Chelliah M. ECNLP workshop (ACL) - (2021)
Report
• In-Context Ability Transfer for Question Decomposition in Complex QA. by Viswanathan V., Bhattacharya S. , Anand A. - (2023)
• LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning by Purohit K., Das S. , Bhattacharya S. , Rana S. - (2023)
• Opponent-aware Role-based Learning in Team Competitive Markov Games by Koley P., Maiti A. , Ganguly N. , Bhattacharya S. - (2023)
Book Chapter/Section
• Springer Proceedings in Complexity by Samanta B., Saha A., Ganguly N., Bhattacharya S., De A. Learning Information Dynamics in Online Social Media: A Temporal Point Process Perspective 205-236 (2019)
Symposium
• Analyzing Music to Music Perceptual Contagion of Emotion in Clusters of Survey-Takers, Using a Novel Contagion Interface: A Case Study of Hindustani Classical Music by Bhattacharya S., Chaki S. , Mullick R. , Patnaik P. , Patnaik P. CMMR: International Symposium on Computer Music Multidisciplinary Research 252-269 (2017)

Principal Investigator

• Fast and communication efficient distributed supervised machine learning system using big data platforms
• Unrestricted Grant for Estimation of Product Response using Temporal Modeling of Past Events
• Deep Reinforcement Learning based Design of Incentive Schemes for Fairness Promotion
• Learning Representations from Network Data
• AI/ML Techniques for Online Shopping (Parent Project)
• Unrestricted Research grant for the MSR Academic Research Summit

Co-Principal Investigator

• Artificial intelligence for societal needs: knowledge discovery and intelligent decision making for solving problems in Indian context related to energy, climate, water, disaster management and traffic
• Conversation Agents for Urban Navigation (Imprint-2 / Industry Part)
• Conversation Agents for Urban Navigation (Imprint-2 / SERB Part)
• Data driven approaches for inferring opinion dynamics on social networks
• Decoding and exploring ancient classification of Indian music through machine learning method and audience response
• Development of a real-time short-term ocean hindcast/forecast system with advanced initialization and data assimilative capability for the Bay of Bengal