Efficient mixture preparation on digital microfluidic biochips. - Srijan Kumar; Sudip Roy 001; Partha Pratim Chakrabarti; Bhargab B. Bhattacharya; Krishnendu Chakrabarty (DDECS, 2013)

Routing-aware resource allocation for mixture preparation in digital microfluidic biochips. - Sudip Roy 001; Partha Pratim Chakrabarti; Srijan Kumar; Bhargab B. Bhattacharya; Krishnendu Chakrabarty (ISVLSI, 2013)

Automatic Classification and Analysis of Interdisciplinary Fields in Computer Sciences. - Tanmoy Chakraborty 002; Srijan Kumar; M. Dastagiri Reddy; Suhansanu Kumar; Niloy Ganguly; Animesh Mukherjee 001 (SocialCom, 2013)

Accurately detecting trolls in Slashdot Zoo via decluttering. - Srijan Kumar; Francesca Spezzano; V. S. Subrahmanian (ASONAM, 2014)

Demand-Driven Mixture Preparation and Droplet Streaming using Digital Microfluidic Biochips. - Sudip Roy 001; Srijan Kumar; Partha Pratim Chakrabarti; Bhargab B. Bhattacharya; Krishnendu Chakrabarty (DAC, 2014)

Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game. - Vlad Niculae; Srijan Kumar; Jordan L. Boyd-Graber; Cristian Danescu-Niculescu-Mizil (ACL (1), 2015)

SPINN: Suspicion prediction in nuclear networks. - Ian A. Andrews; Srijan Kumar; Francesca Spezzano; V. S. Subrahmanian (ISI, 2015)

VEWS: A Wikipedia Vandal Early Warning System. - Srijan Kumar; Francesca Spezzano; V. S. Subrahmanian (KDD, 2015)

Stubborn Mining: Generalizing Selfish Mining and Combining with an Eclipse Attack. - Kartik Nayak; Srijan Kumar; Andrew Miller 001; Elaine Shi (IACR Cryptol. ePrint Arch., 2015)

Layout-Aware Mixture Preparation of Biochemical Fluids on Application-Specific Digital Microfluidic Biochips. - Sudip Roy 001; Partha Pratim Chakrabarti; Srijan Kumar; Krishnendu Chakrabarty; Bhargab B. Bhattacharya (ACM Trans. Design Autom. Electr. Syst., 2015)

Tutorial: Identifying Malicious Actors on Social Media. - Srijan Kumar; Francesca Spezzano; V. S. Subrahmanian (ASONAM, 2016)

Vandals and Hoaxes on the Web. - Srijan Kumar (CyberSafety@CIKM, 2016)

Edge Weight Prediction in Weighted Signed Networks. - Srijan Kumar; Francesca Spezzano; V. S. Subrahmanian; Christos Faloutsos (ICDM, 2016)

Metric Logic Program Explanations for Complex Separator Functions. - Srijan Kumar; Edoardo Serra; Francesca Spezzano; V. S. Subrahmanian (SUM, 2016)

Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes. - Srijan Kumar; Robert West 001; Jure Leskovec (WWW, 2016)

Structure and Dynamics of Signed Citation Networks. - Srijan Kumar (WWW (Companion Volume), 2016)

Citation Classification for Behavioral Analysis of a Scientific Field. - David Jurgens; Srijan Kumar; Raine Hoover; Daniel A. McFarland; Dan Jurafsky (CoRR, 2016)

Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs. - Sebastian Goebl; Srijan Kumar; Christos Faloutsos (ICDM, 2017)

Antisocial Behavior on the Web: Characterization and Detection. - Srijan Kumar; Justin Cheng; Jure Leskovec (WWW (Companion Volume), 2017)

An Army of Me: Sockpuppets in Online Discussion Communities. - Srijan Kumar; Justin Cheng; Jure Leskovec; V. S. Subrahmanian (WWW, 2017)

FairJudge: Trustworthy User Prediction in Rating Platforms. - Srijan Kumar; Bryan Hooi; Disha Makhija; Mohit Kumar 008; Christos Faloutsos; V. S. Subrahmanian (CoRR, 2017)

Characterization and Detection of Malicious Behavior on the Web. - Srijan Kumar (2017)

Breaking Bad: Forecasting Adversarial Android Bad Behavior. - Shang Li 001; Srijan Kumar; Tudor Dumitras; V. S. Subrahmanian (From Database to Cyber Security, 2018)

REV2: Fraudulent User Prediction in Rating Platforms. - Srijan Kumar; Bryan Hooi; Disha Makhija; Mohit Kumar 008; Christos Faloutsos; V. S. Subrahmanian (WSDM, 2018)

MIS2: Misinformation and Misbehavior Mining on the Web. - Srijan Kumar; Meng Jiang 001; Taeho Jung; Roger Jie Luo; Jure Leskovec (WSDM, 2018)

Community Interaction and Conflict on the Web. - Srijan Kumar; William L. Hamilton; Jure Leskovec; Dan Jurafsky (WWW, 2018)

False Information on Web and Social Media: A Survey. - Srijan Kumar; Neil Shah (CoRR, 2018)

Learning Dynamic Embeddings from Temporal Interactions. - Srijan Kumar; Xikun Zhang 001; Jure Leskovec (CoRR, 2018)

Measuring the Evolution of a Scientific Field through Citation Frames. - David Jurgens; Srijan Kumar; Raine Hoover; Daniel A. McFarland; Dan Jurafsky (Trans. Assoc. Comput. Linguistics, 2018)

Demand-Driven Single- and Multitarget Mixture Preparation Using Digital Microfluidic Biochips. - Shalu; Srijan Kumar; Ananya Singla; Sudip Roy 001; Krishnendu Chakrabarty; Partha Pratim Chakrabarti; Bhargab B. Bhattacharya (ACM Trans. Design Autom. Electr. Syst., 2018)

Predicting dominance in multi-person videos. - Chongyang Bai; Maksim Bolonkin; Srijan Kumar; Jure Leskovec; Judee K. Burgoon; Norah E. Dunbar; V. S. Subrahmanian (IJCAI, 2019)

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 (IJCAI, 2019)

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. - Srijan Kumar; Xikun Zhang 001; Jure Leskovec (KDD, 2019)

The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic. - Nicholas Micallef; Bing He 002; Srijan Kumar; Mustaque Ahamad; Nasir D. Memon (IEEE BigData, 2020)

Higher-Order Label Homogeneity and Spreading in Graphs. - Dhivya Eswaran; Srijan Kumar; Christos Faloutsos (WWW, 2020)

Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis. - Caleb Ziems; Bing He 002; Sandeep Soni; Srijan Kumar (CoRR, 2020)

Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis. - Bing He 002; Caleb Ziems; Sandeep Soni; Naren Ramakrishnan; Diyi Yang; Srijan Kumar (ASONAM, 2021)

HawkEye: a robust reputation system for community-based counter-misinformation. - Rohit Mujumdar; Srijan Kumar (ASONAM, 2021)

Evaluating Graph Vulnerability and Robustness using TIGER. - Scott Freitas; Diyi Yang; Srijan Kumar; Hanghang Tong; Duen Horng Chau (CIKM, 2021)

Influence-guided Data Augmentation for Neural Tensor Completion. - Sejoon Oh; Sungchul Kim; Ryan A. Rossi; Srijan Kumar (CIKM, 2021)

Deception Detection in Group Video Conversations using Dynamic Interaction Networks. - Srijan Kumar; Chongyang Bai; V. S. Subrahmanian; Jure Leskovec (ICWSM, 2021)

Workshop on Online and Adaptative Recommender Systems (OARS). - Xiquan Cui; Estelle Afshar; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Kamelia Aryafar; Vachik S. Dave; Mohammad Korayem (KDD, 2021)

PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models. - Bing He 002; Mustaque Ahamad; Srijan Kumar (KDD, 2021)

The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. - Aude Hofleitner; Meng Jiang 001; Srijan Kumar; Neil Shah; Kai Shu (KDD, 2021)

Implicit Session Contexts for Next-Item Recommendations. - Sejoon Oh; Ankur Bhardwaj; Jongseok Han; Sungchul Kim; Ryan A. Rossi; Srijan Kumar (CIKM, 2022)

Rank List Sensitivity of Recommender Systems to Interaction Perturbations. - Sejoon Oh; Berk Ustun; Julian J. McAuley; Srijan Kumar (CIKM, 2022)

Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. - Gaurav Verma; Vishwa Vinay; Ryan A. Rossi; Srijan Kumar (EMNLP, 2022)

Cross-Platform Multimodal Misinformation: Taxonomy, Characteristics and Detection for Textual Posts and Videos. - Nicholas Micallef; Marcelo Sandoval-Castañeda; Adi Cohen; Mustaque Ahamad; Srijan Kumar; Nasir D. Memon (ICWSM, 2022)

Overcoming Language Disparity in Online Content Classification with Multimodal Learning. - Gaurav Verma; Rohit Mujumdar; Zijie J. Wang; Munmun De Choudhury; Srijan Kumar (ICWSM, 2022)

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). - Pamela Bhattacharya; Jing Gao 004; Meng Jiang 001; Mehran Kafai; Srijan Kumar; Qi Li 012; Neil Shah; Sihong Xie; Philip S. Yu; Ming Zeng 001 (KDD, 2022)

2nd Workshop on Online and Adaptive Recommender Systems (OARS). - Xiquan Cui; Vachik S. Dave; Yi Su 008; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Kamelia Aryafar; Mohammed Korayem (KDD, 2022)

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 (RecSys, 2022)

Characterizing, Detecting, and Predicting Online Ban Evasion. - Manoj Niverthi; Gaurav Verma; Srijan Kumar (WWW, 2022)

WIKI'2022: 9th Annual Wiki Workshop. - Leila Zia; Robert West 001; Miriam Redi; Srijan Kumar; Emily Lescak (WWW (Companion Volume), 2022)

Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations. - Sejoon Oh; Srijan Kumar (CoRR, 2022)

Signed Link Representation in Continuous-Time Dynamic Signed Networks. - Mohit Raghavendra; Kartik Sharma; Anand Kumar M; Srijan Kumar (CoRR, 2022)

Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation. - Srijan Kumar (AAAI, 2023)

Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding. - Venkata Prabhakara Sarath Nookala; Gaurav Verma; Subhabrata Mukherjee; Srijan Kumar (ACL (Findings), 2023)

Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning. - Shivaen Ramshetty; Gaurav Verma; Srijan Kumar (ACL (1), 2023)

Representation Learning in Continuous-Time Dynamic Signed Networks. - Kartik Sharma; Mohit Raghavendra; Yeon-Chang Lee; Anand Kumar M; Srijan Kumar (CIKM, 2023)

Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes. - Shreyash Mishra; S. Suryavardan; Megha Chakraborty; Parth Patwa; Anku Rani; Aman Chadha; Aishwarya Naresh Reganti; Amitava Das 001; Amit P. Sheth; Manoj Chinnakotla; Asif Ekbal; Srijan Kumar (DE-FACTIFY@AAAI, 2023)

Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes. - Shreyash Mishra; S. Suryavardan; Parth Patwa; Megha Chakraborty; Anku Rani; Aishwarya Naresh Reganti; Aman Chadha; Amitava Das 001; Amit P. Sheth; Manoj Chinnakotla; Asif Ekbal; Srijan Kumar (DE-FACTIFY@AAAI, 2023)

Findings of factify 2: multimodal fake news detection. - S. Suryavardan; Shreyash Mishra; Megha Chakraborty; Parth Patwa; Anku Rani; Aman Chadha; Aishwarya Naresh Reganti; Amitava Das 001; Amit P. Sheth; Manoj Chinnakotla; Asif Ekbal; Srijan Kumar (DE-FACTIFY@AAAI, 2023)

Factify 2: A multimodal fake news and satire news dataset. - S. Suryavardan; Shreyash Mishra; Parth Patwa; Megha Chakraborty; Anku Rani; Aishwarya Naresh Reganti; Aman Chadha; Amitava Das 001; Amit P. Sheth; Manoj Chinnakotla; Asif Ekbal; Srijan Kumar (DE-FACTIFY@AAAI, 2023)

3rd Workshop on Online and Adaptive Recommender Systems (OARS). - Xiquan Cui; Vachik S. Dave; Yi Su 008; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Stephen D. Guo; Chip Huyen (KDD, 2023)

Predicting Information Pathways Across Online Communities. - Yiqiao Jin; Yeon-Chang Lee; Kartik Sharma; Meng Ye 002; Karan Sikka; Ajay Divakaran; Srijan Kumar (KDD, 2023)

Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models. - Kartik Sharma; Rakshit Trivedi; Rohit Sridhar; Srijan Kumar (KDD, 2023)

Characterizing and Predicting Social Correction on Twitter. - Yingchen Ma; Bing He 002; Nathan Subrahmanian; Srijan Kumar (WebSci, 2023)

Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation. - Bing He 002; Mustaque Ahamad; Srijan Kumar (WWW, 2023)

M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion. - Chongyang Bai; Haipeng Chen 001; Srijan Kumar; Jure Leskovec; V. S. Subrahmanian (IEEE Trans. Multim., 2023)

Advances in AI for web integrity, equity, and well-being. - Srijan Kumar (Frontiers Big Data, 2023)

Graph Vulnerability and Robustness: A Survey. - Scott Freitas; Diyi Yang; Srijan Kumar; Hanghang Tong; Duen Horng Chau (IEEE Trans. Knowl. Data Eng., 2023)

MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms. - Yiqiao Jin; Minje Choi; Gaurav Verma; Jindong Wang 001; Srijan Kumar (ACL (Findings), 2024)

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 (ACL (Short Papers), 2024)

A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech. - Gaurav Verma; Rynaa Grover; Jiawei Zhou 002; Binny Mathew; Jordan Kraemer; Munmun De Choudhury; Srijan Kumar (ACL (1), 2024)

International Workshop on Online and Adaptive Recommender Systems (OARS 2024). - Xiquan Cui; Vachik S. Dave; Yi Su 008; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Stephen D. Guo; Chip Huyen (CIKM, 2024)

Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation. - Neng Kai Nigel Neo; Yeon-Chang Lee; Yiqiao Jin; Sang-Wook Kim; Srijan Kumar (CIKM, 2024)

Adversarial Text Rewriting for Text-aware Recommender Systems. - Sejoon Oh; Gaurav Verma; Srijan Kumar (CIKM, 2024)

Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation. - Kartik Sharma; Srijan Kumar; Rakshit Trivedi (ICML, 2024)

SVD-AE: Simple Autoencoders for Collaborative Filtering. - Seoyoung Hong 001; Jeongwhan Choi 002; Yeon-Chang Lee; Srijan Kumar; Noseong Park (IJCAI, 2024)

Corrective or Backfire: Characterizing and Predicting User Response to Social Correction. - Bing He 002; Yingchen Ma; Mustaque Ahamad; Srijan Kumar (WebSci, 2024)

Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. - Yiqiao Jin; Mohit Chandra; Gaurav Verma; Yibo Hu 002; Munmun De Choudhury; Srijan Kumar (WWW, 2024)

Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation. - Neng Kai Nigel Neo; Yeon-Chang Lee; Yiqiao Jin; Sang-Wook Kim; Srijan Kumar (CoRR, 2024)

Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections. - Gaurav Verma; Minje Choi; Kartik Sharma; Jamelle Watson-Daniels; Sejoon Oh; Srijan Kumar (CoRR, 2024)

Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories. - Yiqiao Jin; Andrew Zhao; Yeon-Chang Lee; Meng Ye 002; Ajay Divakaran; Srijan Kumar (CoRR, 2024)

MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models. - Vibhor Agarwal; Yiqiao Jin; Mohit Chandra; Munmun De Choudhury; Srijan Kumar; Nishanth Sastry (CoRR, 2024)

UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models. - Sejoon Oh; Yiqiao Jin; Megha Sharma; Donghyun Kim; Eric Ma; Gaurav Verma; Srijan Kumar (CoRR, 2024)

A Survey of Graph Neural Networks for Social Recommender Systems. - Kartik Sharma; Yeon-Chang Lee; Sivagami Nambi; Aditya Salian; Shlok Shah; Sang-Wook Kim; Srijan Kumar (ACM Comput. Surv., 2024)

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning. - Sejoon Oh; Berk Ustun; Julian J. McAuley; Srijan Kumar (ACM Trans. Knowl. Discov. Data, 2024)

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 (ICWSM, 2025)

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 (NAACL (Findings), 2025)

Personalized Layer Selection for Graph Neural Networks. - Kartik Sharma; Vineeth Rakesh; Yingtong Dou; Srijan Kumar; Mahashweta Das (Trans. Mach. Learn. Res., 2025)

A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators. - Bing He 002; Yibo Hu 002; Yeon-Chang Lee; Soyoung Oh; Gaurav Verma; Srijan Kumar (ACM Trans. Knowl. Discov. Data, 2025)

A Thousand Words or An Image: Studying the Influence of Persona Modality in Multimodal LLMs. - Julius Broomfield; Kartik Sharma; Srijan Kumar (CoRR, 2025)

A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models. - Gaurav Verma; Jiawei Zhou 002; Mohit Chandra; Srijan Kumar; Munmun De Choudhury (CoRR, 2025)

The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing. - Yibo Hu 002; Yiqiao Jin; Meng Ye 002; Ajay Divakaran; Srijan Kumar (CoRR, 2025)

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts. - Kartik Sharma; Yiqiao Jin; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar (CoRR, 2025)

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. - Yiqiao Jin; Kartik Sharma; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar (CoRR, 2025)

ROBAD: Robust Adversary-aware Local-Global Attended Bad Actor Detection Sequential Model. - Bing He 002; Mustaque Ahamad; Srijan Kumar (CoRR, 2025)

Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings. - Kartik Sharma; Yiqiao Jin; Rakshit Trivedi; Srijan Kumar (CoRR, 2025)