We stand with Ukraine

We stand with Ukraine

Herun Wan

Orcid: 0000-0002-3294-3383

According to our database¹, Herun Wan authored at least 30 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

HCGBot: Learning Homophilous Context Graphs for Twitter Bot Detection.

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IEEE Trans. Knowl. Data Eng., March, 2026

From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild.

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Xiangzheng Kong

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CoRR, March, 2026

What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews.

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CoRR, January, 2026

The Facade of Truth: Uncovering and Mitigating LLM Susceptibility to Deceptive Evidence.

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CoRR, January, 2026

From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild.

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Xiangzheng Kong

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Proceedings of the ACM Web Conference 2026, 2026

Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?

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CoRR, November, 2025

DiFaR: Enhancing Multimodal Misinformation Detection with Diverse, Factual, and Relevant Rationales.

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Xiangzheng Kong

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CoRR, August, 2025

Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection.

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CoRR, June, 2025

GuessBench: Sensemaking Multimodal Creativity in the Wild.

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CoRR, June, 2025

Disentangled Noisy Correspondence Learning.

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IEEE Trans. Image Process., 2025

Graphing the Truth: Harnessing Causal Insights for Advanced Multimodal Fake News Detection.

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IEEE Trans. Inf. Forensics Secur., 2025

TeST: Temporal-spatial separated transformer for temporal action localization.

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Neurocomputing, 2025

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis.

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning.

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Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection.

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Xiangzheng Kong

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

FNDPro: Evaluating the Importance of Propagations during Fake News Spread.

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Proceedings of the Database Systems for Advanced Applications, 2024

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection.

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Proceedings of the Findings of the Association for Computational Linguistics, 2024

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection.

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

BotPercent: Estimating Twitter Bot Populations from Groups to Crowds.

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CoRR, 2023

BotPercent: Estimating Bot Populations in Twitter Communities.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.

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CoRR, 2022

TwiBot-22: Towards Graph-Based Twitter Bot Detection.

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

BotRGCN: Twitter bot detection with relational graph convolutional networks.

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Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

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