BotRGCN: Twitter bot detection with relational graph convolutional networks. - Shangbin Feng; Herun Wan; Ningnan Wang; Minnan Luo (ASONAM, 2021)

SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. - Shangbin Feng; Herun Wan; Ningnan Wang; Jundong Li; Minnan Luo (CIKM, 2021)

TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. - Shangbin Feng; Herun Wan; Ningnan Wang; Jundong Li; Minnan Luo (CIKM, 2021)

GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. - Xinshun Feng; Herun Wan; Shangbin Feng; Hongrui Wang 004; Qinghua Zheng; Jun Zhou 011; Minnan Luo (CIKM, 2022)

TwiBot-22: Towards Graph-Based Twitter Bot Detection. - Shangbin Feng; Zhaoxuan Tan; Herun Wan; Ningnan Wang; Zilong Chen; Binchi Zhang; Qinghua Zheng; Wenqian Zhang; Zhenyu Lei 004; Shujie Yang; Xinshun Feng; Qingyue Zhang; et al. (NeurIPS, 2022)

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. - Zhenyu Lei 004; Herun Wan; Wenqian Zhang; Shangbin Feng; Zilong Chen; Qinghua Zheng; Minnan Luo (CoRR, 2022)

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. - Zhenyu Lei 004; Herun Wan; Wenqian Zhang; Shangbin Feng; Zilong Chen; Jundong Li; Qinghua Zheng; Minnan Luo (ACL (1), 2023)

BotPercent: Estimating Bot Populations in Twitter Communities. - Zhaoxuan Tan; Shangbin Feng; Melanie Sclar; Herun Wan; Minnan Luo; Yejin Choi 001; Yulia Tsvetkov (EMNLP (Findings), 2023)

BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. - Zhaoxuan Tan; Shangbin Feng; Melanie Sclar; Herun Wan; Minnan Luo; Yejin Choi 001; Yulia Tsvetkov (CoRR, 2023)

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. - Shangbin Feng; Herun Wan; Ningnan Wang; Zhaoxuan Tan; Minnan Luo; Yulia Tsvetkov (ACL (1), 2024)

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. - Herun Wan; Shangbin Feng; Zhaoxuan Tan; Heng Wang 008; Yulia Tsvetkov; Minnan Luo (ACL (Findings), 2024)

FNDPro: Evaluating the Importance of Propagations during Fake News Spread. - Herun Wan; Ningnan Wang; Xiang Zhao 002; Rui Li; Hui Yang; Minnan Luo (DASFAA (6), 2024)

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. - Herun Wan; Minnan Luo; Zihan Ma 001; Guang Dai; Xiang Zhao 002 (CoRR, 2024)

HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring. - Zhixiong Su; Yichen Wang; Herun Wan; Zhaohan Zhang; Minnan Luo (ACL (1), 2025)

On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs. - Herun Wan; Minnan Luo; Zhixiong Su; Guang Dai; Xiang Zhao 002 (ACL (1), 2025)

IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection. - Zhi Zeng; Jiaying Wu; Minnan Luo; Herun Wan; Xiangzheng Kong; Zihan Ma 001; Guang Dai; Qinghua Zheng (ACL (1), 2025)

TeST: Temporal-spatial separated transformer for temporal action localization. - Herun Wan; Minnan Luo; Zhihui Li 001; Yang Wang (Neurocomputing, 2025)

Disentangled Noisy Correspondence Learning. - Zhuohang Dang; Minnan Luo; Jihong Wang 003; Chengyou Jia; Haochen Han; Herun Wan; Guang Dai; Xiaojun Chang; Jingdong Wang 001 (IEEE Trans. Image Process., 2025)

GuessBench: Sensemaking Multimodal Creativity in the Wild. - Zifeng Zhu; Shangbin Feng; Herun Wan; Ningnan Wang; Minnan Luo; Yulia Tsvetkov (CoRR, 2025)

Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection. - Herun Wan; Jiaying Wu; Minnan Luo; Zhi Zeng; Zhixiong Su (CoRR, 2025)