Medhashree Ghosh, Chirag Jain, Raju Halder and Joydeep Chandra, TEMPER: Capturing Consistent and Fluctuating TEMPoral Evolution of the EtheReum Users for Phishing Scam Detection, Accepted to ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
Rahul Kumar, Manish Bhanu, João Mendes Moreira and Joydeep Chandra, Spatio-Temporal Predictive Modeling Techniques for Different Domains: A Survey, ACM Computing Surveys, ACM, 2024
Medhashree Ghosh, Raju Halder and Joydeep Chandra, SpaTeD: Sparsity-aware Tensor Decomposition-based Representation Learning Framework for Phishing Scams Detection, IEEE Transactions on Computational Social Science, IEEE, 2024
Saurabh Sharma, Atul Kumar, Jenish Monpara and Joydeep Chandra, StAlK: Structural Alignment based Self Knowledge Distillation for Medical Image Classification, Knowledge Based Systems, Elsevier, 2024
Shruti Saxena and Joydeep Chandra, RoCoNA: A Robust Continual Learning Framework for Alignment of Dynamic Networks Under Distribution Shift and Domain Differences, ACM SIGKDD workshop 2024 (Received the Best Paper Award)
Rahul Kumar, João Mendes Moreira and Joydeep Chandra, Spatio-Temporal Parallel Transformer based model for Traffic Prediction, ACM Transactions on Knowledge Discovery from Data, 2024
Saurabh Sharma, Atul Kumar and Joydeep Chandra, Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024
Shruti Saxena and Joydeep Chandra, A Survey on Network Alignment: Approaches, Applications and Future Directions, International Joint Conference on Artificial Intelligence (IJCAI) Survey Track 2024
Shalini Priya, Vaishali Joshi and Joydeep Chandra, Let's Explain Crisis: Deep Multiscale Hierarchical Attention Framework for Crisis Task Identification, Journal of Supercomputing, Springer, 2024
Shruti Saxena and Joydeep Chandra, EvoAlign: A Continual Learning Framework for Aligning Evolving Networks, Proceedings of 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023
Aditya Thaker, Medhasree Ghosh, Raju Halder and Joydeep Chandra, Graph2Vec-LSTM: An Ensemble Model for Phishing User Detection on Ethereum Using Evolving Ego Graphs,Proceedings of International Conference on Blockchain and Trustworthy Systems (BlockSys 2023)
Medhashree Ghosh, Dyuti Ghosh, Raju Halder and Joydeep Chandra, Investigating the Impact of Structural and Temporal Behaviors in Ethereum Phising Users Detection, Blockchain: Research and Applications, Elsevier, 2023
Rahul Kumar, João Mendes Moreira and Joydeep Chandra, DyGCN-LSTM: A Dynamic GCN-LSTM based Encoder-Decoder Framework for Multistep Traffic Prediction, Applied Intelligence Springer, 2023
Manish Bhanu, Saswata Roy, Shalini Priya, João Mendes Moreira, and Joydeep Chandra, An Encoder Framework for Taxi-demand Prediction using Spatio-Temporal Function Approximation, Engineering Applications of Artificial Intelligence, Elsevier, 2023
Medhashree Ghosh, Dyuti Ghosh, Raju Halder, and Joydeep Chandra,Investigating the Impact of Structural and Temporal Behaviours in Ethereum Phishing users Detection, Blockchain: Research and Applications, Elsevier, 2023
Shruti Saxena and Joydeep Chandra, SAlign: A Graph Neural Attention Framework for Aligning Structurally Heterogeneous Networks, Journal of Aritificial Intelligence Research, AAAI, 2023
Arnab Mukherjee, Raju Halder, Joydeep Chandra and Shailesh Shrivastava, HealthChain: A Blockchain-aided Federated Healthcare Managament System, IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 2023
Saswata Roy, Manish Bhanu, Sourav Kumar Dandapat and Joydeep Chandra, Towards an Orthogonality Constraint-based Feature Partitioning Approach to Classify Veracity and Identify Stance Overlapping of Rumors on Twitter, Expert Systems with Applications, Elsevier, 2022,
Shruti Saxena, Roshni Chakraborty and Joydeep Chandra, HCNA: Hyperbolic Contrastive Learning Framework for Self-Supervised Network Alignment, Information Processing and Management, Elsevier, 2022,
Apoorva Upadhyaya and Joydeep Chandra, Spotting Flares: The Vital Signs of the Viral Spread of Tweets Made During Communal Incidents, ACM Transactions on the Web, 2022,
Roshni Chakraborty, Ritwika Das, and Joydeep Chandra, SigGAN : Adversarial Model for Learning Signed Relationships in Networks, ACM Transactions on Knowledge Discovery from Data, 2022,
Saswata Roy, Manish Bhanu, Shruti Saxena, Sourav Kumar Dandapat and Joydeep Chandra, gDART: Improving Rumor Verification in Social Media with Discrete Attention Representations, Information Processing and Management, Elsevier, 2022,
Manish Bhanu, Shalini Priya, João Mendes-Moreira and Joydeep Chandra, ST-AGP: Spatio-Temporal Aggregator Predictor Model for Multi-Step Taxi Demand Prediction in Cities, Applied Intelligence, Springer, 2022,
Manish Bhanu, Rahul Kumar, Saswata Roy, João Mendes-Moreira and Joydeep Chandra, Graph Multi-head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction, 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022,
K.M. Pooja, Samrat Mondal, and Joydeep Chandra, Exploiting Higher Order Multi-dimensional Relationships with Self-attention for Author Name Disambiguation, ACM Transactions on Knowledge Discovery from Data, 2021,
K.M. Pooja, Samrat Mondal, and Joydeep Chandra, Online Author Name Disambiguation in Evolving Digital Library, Neurocomputing, 2021,
K.M. Pooja, Samrat Mondal, and Joydeep Chandra, Exploiting Similarities Across Multiple Dimensions for Author Name Disambiguation, Scientometrics, 2021,
Akash Yadav, Joydeep Chandra, and Ashok Singh Sairam, A Budget and Deadline Aware Task Assignment Scheme for Crowdsourcing Environment, IEEE Transactions on Emerging Topics in Computing, 2021,
Shalini Priya, Manish Bhanu, Sourav Kumar Dandapat and Joydeep Chandra, Mirroring Hierarchical Attention in Adversary for Crisis Task Identification: COVID-19, Hurricane Irma, ISCRAM, 2021,
Shalini Priya, Apoorva Upadhyaya, Manish Bhanu, Sourav Kumar Dandapat and Joydeep Chandra, EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters, ACM CIKM 2020,
Rimjhim, Nikhil Cheke, Joydeep Chandra, Sourav Dandapat, Understanding the Impact of Geographical Distance on Online Discussions, IEEE Transactions on Computational Social Systems, 2020,
Manish Bhanu, João Mendes-Moreira and Joydeep Chandra, Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction, IEEE Transactions on Intelligent Transportation Systems, 2020.
Shalini Priya, Manish Bhanu, Sourav Kumar Dandapat, Kripabandhu Ghosh and Joydeep Chandra, TAQE: Tweet Retrieval Based Infrastructure Damage Assessment During Disasters, IEEE Transactions on Computational Social Systems, 2019.
Ryan Sequeira, Avijit Gayen, Niloy Ganguly, Sourav Kumar Dandapat and Joydeep Chandra, A Large Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets, IEEE Transactions on Computational Social Systems, 2019.
Shalini Priya, Saharsh Singh, Sourav Kumar Dandapat, Kripabandhu Ghosh and Joydeep Chandra , Identifying Infrastructure Damage during Earthquake using Deep Active Learning, Proceedings of IEEE/ACM ASONAM, August, 2019, Vancouver, Canada.
Roshni Chakraborty, Maitry Bhavsar, Sourav Kumar Dandapat and Joydeep Chandra, Tweet Summarization of News Articles: An Objective Ordering Based Perspective, IEEE Transactions on Computational Social Systems, vol. 6, no. 4, pp. 761-777, Aug. 2019.
KM Pooja, Samrat Mondal and Joydeep Chandra, A Graph Combination with Edge Pruning Based Approach for Author Name Disambiguation, Journal of the Association for Information Science and Technology, Wiley, 2019
Shalini Priya, Ryan Sequeira, Joydeep Chandra and Sourav Kumar Dandapat, Where should one get news updates: Twitter or Reddit, Elsevier Journal on Online Social Networks and Media, vol. 9, pp. 17-29, Jan. 2019.
Manish Bhanu, Shalini Priya, Joydeep Chandra, Sourav Kumar Dandapat and João Mendes-Moreira, Predicting Big Cities Traffic Flow using Modified Tucker Decomposition, Proceedings of Advanced Data Mining and Applications (ADMA), 2018, Nanjing, China.
Roshni Chakraborty, Abhijeet Kharat, Apalak Khatua, Sourav Kumar Dandapat and Joydeep Chandra, Predicting Tomorrow's Headline Using Today's Twitter Deliberations, CIKM Workshop on News Recommendation and Analytics (INRA), 2018, Turin, Italy.
Shalini Priya, Manish Bhanu, Sourav Kumar Dandapat, Kripabandhu Ghosh and Joydeep Chandra, Characterizing Infrastructure Damage after Earthquake: A Split Query Based IR Approach, Proceedings of IEEE/ACM ASONAM, 2018, Barcelona, Spain.
Manish Bhanu, Joydeep Chandra and João Mendes-Moreira, Enhancing Traffic Model of Big Cities: Network Skeleton and Reciprocity, Proceedings of COMSNETS, 2018, Bangalore, India
Joydeep Chandra, Bivas Mitra and Niloy Ganguly, Evolution of Superpeer Topologies --- An Analytical Perspective, Elsevier Journal on Pervasive and Mobile Computing, Volume 40, 2017, Pages 339-358
Avijit Gayen, Maitry Bhavsar and Joydeep Chandra,Towards a Trust Based Measure of Scientific Productivity, Proceedings of The 2017 IEEE/ACM ASONAM, 2017, Sydney, Australia
Manish Bhanu and Joydeep Chandra,Exploiting Response Pattern in Identifying Topical Experts in StackOverflow, Proceedings of 11th IEEE ICDIM, 2016, Porto, Portugal.
Roshni Chakraborty and Joydeep Chandra, Link Dynamics in Social Collaboration Networks, Proceedings of COMSNETS, 2016, Bangalore, India.
Karthik Gopalakrishnan and Joydeep Chandra, Social Interactions in Flickr: Mechanisms and Role in Link Formation, Proceedings of COMSNETS, 2016, Bangalore, India
Arun Pandey, Roshni Chakraborty, Soumya Sarkar and Joydeep Chandra, Analyzing Link Dynamics in Scientific Collaboration Networks --- A Social Yield Based Perspective, Proceedings of IEEE/ACM ASONAM, 2015, Paris, France.
Avijit Gayen and Joydeep Chandra, Role of Trust in Evolution of Scientific Collaboration Networks, SocialCom, 2014, Beijing, China.
Nemi Chandra Rathore, Somanath Tripathy and Joydeep Chandra, Predicting User Visibility in Online Social Networks using Local Connectivity Properties, Proceedings of ICDCIT, 2014, Bhubaneswar, India.
Joydeep Chandra, Bivas Mitra and Niloy Ganguly, Effect of Constraints on Superpeer Topologies, IEEE INFOCOM mini-conference, 2013, Turin, Italy.
Joydeep Chandra, Ingo Scholtes, Niloy Ganguly and Frank Schweitzer, A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks,11th IEEE TrustCom 2012, Liverpool, UK (Recieved the Best Paper Award).
Joydeep Chandra and Niloy Ganguly, On Coverage Bounds of Unstructured Peer-to-Peer Networks, Advances in Complex Systems, World Scientific Publishing, Volume 14, Issue 4 (2011), pp 611-633, June 2011.
Joydeep Chandra, Santosh Shaw, and Niloy Ganguly. HPC5: An Efficient Topology Generation Mechanism for Gnutella Networks, Computer Networks, Elsevier, Volume 54, Issue 9, 17 June 2010.
Joydeep Chandra, Sascha Delitzscher, Niloy Ganguly, Ashish Jhunjhunwala, Tyll Krueger and Naveen Sharma , Optimizing Topology in Bit Torrent Based Networks,INFOCOM IEEE Conference on Computer Communications Workshops , 2011, pp.888-893 Shanghai, China.
Joydeep Chandra and Niloy Ganguly, On Coverage Bounds of Unstructured Peer-to-Peer Networks, In European Conference on Complex Systems, September, 13-17, 2010, Lisbon, Portugal.
Joydeep Chandra, Santosh Shaw and Niloy Ganguly, Analyzing Network Coverage in Unstructured Peer-to-Peer Networks : A Complex Network Approach, In Proceedings of IFIP-Networking 2009, May-11-15 2009, Aachen, Germany.
Santosh Shaw, Joydeep Chandra, Niloy Ganguly, HPC5: An Efficient Topology Generation Mechanism for Gnutella Networks, In 10th International Conference on Distributed Computing and Networking - ICDCN 2009, Hyderabad, India.
Abhigyan, Joydeep Chandra and Niloy Ganguly, A Bandwidth Aware Topology Generation Mechanism for Peer-to-Peer based Publish-Subscribe Systems, In Proceedings of 3rd IEEE International Conference on Industrial and Information Systems, Kharagpur, India.
Parul Agarwal, Brijesh Yadav, Joydeep Chandra, Statistical Analysis Based Efficient Decentralized Intrusion Detection Scheme for Mobile Ad Hoc Networks, In Proceedings of 16th International Conference on Networks (ICON-2008), New Delhi, India.
