| 2026 | ACL | SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding. | Yiqiao Jin, Rachneet Kaur, Zhen Zeng, Sumitra Ganesh, Srijan Kumar |
| 2026 | ACL | SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. | Yiqiao Jin, Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar |
| 2025 | AIES | A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models. | Gaurav Verma, Jiawei Zhou, Mohit Chandra, Srijan Kumar, Munmun De Choudhury |
| 2025 | ICWSM | Supporters and Skeptics: LLM-Based Analysis of Engagement with Mental Health (Mis)Information Content on Video-Sharing Platforms. | Viet Cuong Nguyen, Mini Jain, Abhijat Chauhan, Heather Jaime Soled, Santiago Alvarez Lesmes, Zihang Li, Michael L. Birnbaum, Sunny X. Tang, Srijan Kumar, Munmun De Choudhury |
| 2025 | NAACL | Do Large Language Models Align with Core Mental Health Counseling Competencies? | Viet Cuong Nguyen, Mohammad Taher, Dongwan Hong, Vinicius Konkolics Possobom, Vibha Thirunellayi Gopalakrishnan, Ekta Raj, Zihang Li, Heather J. Soled, Michael L. Birnbaum, Srijan Kumar, Munmun De Choudhury |
| 2024 | ACL | MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms. | Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar |
| 2024 | ACL | Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space. | Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar |
| 2024 | ACL | A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech. | Gaurav Verma, Rynaa Grover, Jiawei Zhou, Binny Mathew, Jordan Kraemer, Munmun De Choudhury, Srijan Kumar |
| 2024 | CIKM | International Workshop on Online and Adaptive Recommender Systems (OARS 2024). | Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen |
| 2024 | CIKM | Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation. | Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar |
| 2024 | CIKM | Adversarial Text Rewriting for Text-aware Recommender Systems. | Sejoon Oh, Gaurav Verma, Srijan Kumar |
| 2024 | ICML | Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation. | Kartik Sharma, Srijan Kumar, Rakshit S. Trivedi |
| 2024 | IJCAI | SVD-AE: Simple Autoencoders for Collaborative Filtering. | Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park |
| 2024 | WWW | Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. | Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar |
| 2023 | AAAI | Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation. | Srijan Kumar |
| 2023 | ACL | Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding. | Venkata Prabhakara Sarath Nookala, Gaurav Verma, Subhabrata Mukherjee, Srijan Kumar |
| 2023 | ACL | Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning. | Shivaen Ramshetty, Gaurav Verma, Srijan Kumar |
| 2023 | CIKM | Representation Learning in Continuous-Time Dynamic Signed Networks. | Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar |
| 2023 | KDD | 3rd Workshop on Online and Adaptive Recommender Systems (OARS). | Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen |
| 2023 | KDD | Predicting Information Pathways Across Online Communities. | Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar |
| 2023 | KDD | Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models. | Kartik Sharma, Rakshit S. Trivedi, Rohit Sridhar, Srijan Kumar |
| 2023 | WWW | Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation. | Bing He, Mustaque Ahamad, Srijan Kumar |
| 2022 | CIKM | Implicit Session Contexts for Next-Item Recommendations. | Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar |
| 2022 | CIKM | Rank List Sensitivity of Recommender Systems to Interaction Perturbations. | Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar |
| 2022 | EMNLP | Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. | Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar |
| 2022 | ICWSM | Cross-Platform Multimodal Misinformation: Taxonomy, Characteristics and Detection for Textual Posts and Videos. | Nicholas Micallef, Marcelo Sandoval-Castaeda, Adi Cohen, Mustaque Ahamad, Srijan Kumar, Nasir D. Memon |
| 2022 | ICWSM | Overcoming Language Disparity in Online Content Classification with Multimodal Learning. | Gaurav Verma, Rohit Mujumdar, Zijie J. Wang, Munmun De Choudhury, Srijan Kumar |
| 2022 | KDD | Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). | Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng |
| 2022 | KDD | 2nd Workshop on Online and Adaptive Recommender Systems (OARS). | Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem |
| 2022 | RecSys | M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations. | Walid Shalaby, Sejoon Oh, Amir Afsharinejad, Srijan Kumar, Xiquan Cui |
| 2022 | WWW | Characterizing, Detecting, and Predicting Online Ban Evasion. | Manoj Niverthi, Gaurav Verma, Srijan Kumar |
| 2022 | WWW | WIKI'2022: 9th Annual Wiki Workshop. | Leila Zia, Robert West, Miriam Redi, Srijan Kumar, Emily Lescak |
| 2021 | CIKM | Evaluating Graph Vulnerability and Robustness using TIGER. | Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau |
| 2021 | CIKM | Influence-guided Data Augmentation for Neural Tensor Completion. | Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar |
| 2021 | ICWSM | Deception Detection in Group Video Conversations using Dynamic Interaction Networks. | Srijan Kumar, Chongyang Bai, V. S. Subrahmanian, Jure Leskovec |
| 2021 | KDD | Workshop on Online and Adaptative Recommender Systems (OARS). | Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem |
| 2021 | KDD | PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models. | Bing He, Mustaque Ahamad, Srijan Kumar |
| 2021 | KDD | The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. | Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu |
| 2020 | WWW | Higher-Order Label Homogeneity and Spreading in Graphs. | Dhivya Eswaran, Srijan Kumar, Christos Faloutsos |
| 2019 | IJCAI | Predicting dominance in multi-person videos. | Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian |
| 2019 | IJCAI | Predicting the Visual Focus of Attention in Multi-Person Discussion Videos. | Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam J. Metzger, Jay F. Nunamaker Jr., V. S. Subrahmanian |
| 2019 | KDD | Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. | Srijan Kumar, Xikun Zhang, Jure Leskovec |
| 2018 | WWW | Community Interaction and Conflict on the Web. | Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky |
| 2018 | WSDM | REV2: Fraudulent User Prediction in Rating Platforms. | Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian |
| 2018 | WSDM | MIS2: Misinformation and Misbehavior Mining on the Web. | Srijan Kumar, Meng Jiang, Taeho Jung, Roger Jie Luo, Jure Leskovec |
| 2017 | ICDM | Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs. | Sebastian Goebl, Srijan Kumar, Christos Faloutsos |
| 2017 | WWW | Antisocial Behavior on the Web: Characterization and Detection. | Srijan Kumar, Justin Cheng, Jure Leskovec |
| 2017 | WWW | An Army of Me: Sockpuppets in Online Discussion Communities. | Srijan Kumar, Justin Cheng, Jure Leskovec, V. S. Subrahmanian |
| 2016 | CIKM | Vandals and Hoaxes on the Web. | Srijan Kumar |
| 2016 | ICDM | Edge Weight Prediction in Weighted Signed Networks. | Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian, Christos Faloutsos |
| 2016 | WWW | Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes. | Srijan Kumar, Robert West, Jure Leskovec |
| 2016 | WWW | Structure and Dynamics of Signed Citation Networks. | Srijan Kumar |
| 2015 | ACL | Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game. | Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil |
| 2015 | ISI | SPINN: Suspicion prediction in nuclear networks. | Ian A. Andrews, Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian |
| 2015 | KDD | VEWS: A Wikipedia Vandal Early Warning System. | Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian |
| 2014 | DAC | Demand-Driven Mixture Preparation and Droplet Streaming using Digital Microfluidic Biochips. | Sudip Roy, Srijan Kumar, Partha Pratim Chakrabarti, Bhargab B. Bhattacharya, Krishnendu Chakrabarty |
| 2013 | DDECS | Efficient mixture preparation on digital microfluidic biochips. | Srijan Kumar, Sudip Roy, Partha Pratim Chakrabarti, Bhargab B. Bhattacharya, Krishnendu Chakrabarty |