Srijan Kumar

Orcid: 0000-0002-5796-3532

According to our database1, Srijan Kumar authored at least 90 papers between 2013 and 2024.

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Bibliography

2024
A Survey of Graph Neural Networks for Social Recommender Systems.
ACM Comput. Surv., October, 2024

MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models.
CoRR, 2024

Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms.
CoRR, 2024

Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories.
CoRR, 2024

Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections.
CoRR, 2024

Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation.
CoRR, 2024

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning.
CoRR, 2024

Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries.
Proceedings of the ACM on Web Conference 2024, 2024

Corrective or Backfire: Characterizing and Predicting User Response to Social Correction.
Proceedings of the 16th ACM Web Science Conference, 2024

SVD-AE: Simple Autoencoders for Collaborative Filtering.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adversarial Text Rewriting for Text-aware Recommender Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

International Workshop on Online and Adaptive Recommender Systems (OARS 2024).
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Graph Vulnerability and Robustness: A Survey.
IEEE Trans. Knowl. Data Eng., June, 2023

Advances in AI for web integrity, equity, and well-being.
Frontiers Big Data, January, 2023

M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion.
IEEE Trans. Multim., 2023

A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators.
CoRR, 2023

Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation.
Proceedings of the ACM Web Conference 2023, 2023

Characterizing and Predicting Social Correction on Twitter.
Proceedings of the 15th ACM Web Science Conference 2023, 2023

Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Predicting Information Pathways Across Online Communities.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

3rd Workshop on Online and Adaptive Recommender Systems (OARS).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Factify 2: A multimodal fake news and satire news dataset.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Findings of factify 2: multimodal fake news detection.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Representation Learning in Continuous-Time Dynamic Signed Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Signed Link Representation in Continuous-Time Dynamic Signed Networks.
CoRR, 2022

Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations.
CoRR, 2022

WIKI'2022: 9th Annual Wiki Workshop.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Characterizing, Detecting, and Predicting Online Ban Evasion.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2nd Workshop on Online and Adaptive Recommender Systems (OARS).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Overcoming Language Disparity in Online Content Classification with Multimodal Learning.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Cross-Platform Multimodal Misinformation: Taxonomy, Characteristics and Detection for Textual Posts and Videos.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rank List Sensitivity of Recommender Systems to Interaction Perturbations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Implicit Session Contexts for Next-Item Recommendations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Workshop on Online and Adaptative Recommender Systems (OARS).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deception Detection in Group Video Conversations using Dynamic Interaction Networks.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Influence-guided Data Augmentation for Neural Tensor Completion.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Evaluating Graph Vulnerability and Robustness using TIGER.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

HawkEye: a robust reputation system for community-based counter-misinformation.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis.
CoRR, 2020

Higher-Order Label Homogeneity and Spreading in Graphs.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Predicting the Visual Focus of Attention in Multi-Person Discussion Videos.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Predicting dominance in multi-person videos.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Demand-Driven Single- and Multitarget Mixture Preparation Using Digital Microfluidic Biochips.
ACM Trans. Design Autom. Electr. Syst., 2018

Measuring the Evolution of a Scientific Field through Citation Frames.
Trans. Assoc. Comput. Linguistics, 2018

Learning Dynamic Embeddings from Temporal Interactions.
CoRR, 2018

False Information on Web and Social Media: A Survey.
CoRR, 2018

Community Interaction and Conflict on the Web.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

MIS2: Misinformation and Misbehavior Mining on the Web.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

REV2: Fraudulent User Prediction in Rating Platforms.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Breaking Bad: Forecasting Adversarial Android Bad Behavior.
Proceedings of the From Database to Cyber Security, 2018

2017
Characterization and Detection of Malicious Behavior on the Web.
PhD thesis, 2017

FairJudge: Trustworthy User Prediction in Rating Platforms.
CoRR, 2017

An Army of Me: Sockpuppets in Online Discussion Communities.
Proceedings of the 26th International Conference on World Wide Web, 2017

Antisocial Behavior on the Web: Characterization and Detection.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Citation Classification for Behavioral Analysis of a Scientific Field.
CoRR, 2016

Structure and Dynamics of Signed Citation Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016

Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes.
Proceedings of the 25th International Conference on World Wide Web, 2016

Metric Logic Program Explanations for Complex Separator Functions.
Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

Edge Weight Prediction in Weighted Signed Networks.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Vandals and Hoaxes on the Web.
Proceedings of the First International Workshop on Computational Methods for CyberSafety, 2016

Tutorial: Identifying Malicious Actors on Social Media.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Layout-Aware Mixture Preparation of Biochemical Fluids on Application-Specific Digital Microfluidic Biochips.
ACM Trans. Design Autom. Electr. Syst., 2015

Stubborn Mining: Generalizing Selfish Mining and Combining with an Eclipse Attack.
IACR Cryptol. ePrint Arch., 2015

VEWS: A Wikipedia Vandal Early Warning System.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

SPINN: Suspicion prediction in nuclear networks.
Proceedings of the 2015 IEEE International Conference on Intelligence and Security Informatics, 2015

Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Demand-Driven Mixture Preparation and Droplet Streaming using Digital Microfluidic Biochips.
Proceedings of the 51st Annual Design Automation Conference 2014, 2014

Accurately detecting trolls in Slashdot Zoo via decluttering.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Automatic Classification and Analysis of Interdisciplinary Fields in Computer Sciences.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Routing-aware resource allocation for mixture preparation in digital microfluidic biochips.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2013

Efficient mixture preparation on digital microfluidic biochips.
Proceedings of the 16th IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems, 2013


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