| 2026 | AAAI | Correspondence Coverage Matters for Multi-Modal Dataset Distillation. | Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xinyu Zhang, Xiaojun Chang, Ivor W. Tsang |
| 2026 | AAAI | Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios? | Shiyan Zheng, Herun Wan, Minnan Luo, Junhang Huang |
| 2026 | ACL | From What Is Said to Why It Is Framed: Intent-Aware News Video Understanding. | Xiangzheng Kong, Minnan Luo, Wenya Wang, Jiaying Wu, Zhi Zeng, Guang Dai |
| 2026 | ACL | From Detection to Understanding: Multi-Turn Reasoning for Video Misinformation Analysis. | Zhi Zeng, Jiaying Wu, Minnan Luo, Di Zhang, Yifei Yang, Xiangzheng Kong, Herun Wan, Zihan Ma |
| 2026 | WWW | From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild. | Zhi Zeng, Yifei Yang, Jiaying Wu, Xulang Zhang, Xiangzheng Kong, Herun Wan, Zihan Ma, Minnan Luo |
| 2025 | AAAI | Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection. | Hao Guo, Zihan Ma, Zhi Zeng, Minnan Luo, Weixin Zeng, Jiuyang Tang, Xiang Zhao |
| 2025 | ACL | AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant. | Chengyou Jia, Minnan Luo, Zhuohang Dang, Qiushi Sun, Fangzhi Xu, Junlin Hu, Tianbao Xie, Zhiyong Wu |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection. | Zhi Zeng, Jiaying Wu, Minnan Luo, Herun Wan, Xiangzheng Kong, Zihan Ma, Guang Dai, Qinghua Zheng |
| 2025 | COLING | Unveiling Fake News with Adversarial Arguments Generated by Multimodal Large Language Models. | Xiaofan Zheng, Minnan Luo, Xinghao Wang |
| 2025 | CVPR | ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting. | Chengyou Jia, Changliang Xia, Zhuohang Dang, Weijia Wu, Hangwei Qian, Minnan Luo |
| 2025 | EMNLP | Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models. | Yilin Wang, Heng Wang, Yuyang Bai, Minnan Luo |
| 2025 | EMNLP | How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. | Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao |
| 2025 | WWW | From Predictions to Analyses: Rationale-Augmented Fake News Detection with Large Vision-Language Models. | Xiaofan Zheng, Zinan Zeng, Heng Wang, Yuyang Bai, Yuhan Liu, Minnan Luo |
| 2025 | SIGIR | Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations. | Zihan Ma, Minnan Luo, Yiran Hao, Zhi Zeng, Xiangzheng Kong, Jiahao Wang |
| 2024 | AAAI | Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. | Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang |
| 2024 | AAAI | SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation. | Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang |
| 2024 | ACL | 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 |
| 2024 | ACL | Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection. | Zihan Ma, Minnan Luo, Hao Guo, Zhi Zeng, Yiran Hao, Xiang Zhao |
| 2024 | ACL | DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. | Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo |
| 2024 | CVPR | Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. | Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang |
| 2024 | DASFAA | FNDPro: Evaluating the Importance of Propagations during Fake News Spread. | Herun Wan, Ningnan Wang, Xiang Zhao, Rui Li, Hui Yang, Minnan Luo |
| 2024 | ICLR | Masked Distillation Advances Self-Supervised Transformer Architecture Search. | Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng |
| 2024 | ICLR | Adversarial Attacks on Fairness of Graph Neural Networks. | Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li |
| 2024 | WSDM | LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. | Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo |
| 2023 | ACL | BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. | Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo |
| 2023 | CVPR | Noisy Correspondence Learning with Meta Similarity Correction. | Haochen Han, Kaiyao Miao, Qinghua Zheng, Minnan Luo |
| 2023 | EMNLP | BotPercent: Estimating Bot Populations in Twitter Communities. | Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov |
| 2023 | EMNLP | Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. | Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo |
| 2023 | ICASSP | Towards Real-Time Person Search with Invariant Feature Learning. | Chengyou Jia, Minnan Luo, Zhuohang Dang, Xiaojun Chang, Qinghua Zheng |
| 2023 | ICDE | A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract). | Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng |
| 2023 | KDD | Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. | Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng |
| 2023 | WWW | KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. | Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo |
| 2023 | SIGIR | BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. | Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo |
| 2022 | AAAI | Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. | Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo |
| 2022 | CIKM | GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. | Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo |
| 2022 | EMNLP | PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. | Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo |
| 2022 | ICDE | Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. | Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo |
| 2022 | NAACL | KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media. | Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo |
| 2021 | CIKM | 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 |
| 2021 | CIKM | TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. | Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo |
| 2021 | DASFAA | Towards Entity Alignment in the Open World: An Unsupervised Approach. | Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng |
| 2020 | CIKM | Graph Few-shot Learning with Attribute Matching. | Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng |
| 2020 | CVPR | ZSTAD: Zero-Shot Temporal Activity Detection. | Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann |
| 2020 | DASFAA | Cross-Graph Representation Learning for Unsupervised Graph Alignment. | Weifan Wang, Minnan Luo, Caixia Yan, Meng Wang, Xiang Zhao, Qinghua Zheng |
| 2020 | DASFAA | Unsupervised Hierarchical Feature Selection on Networked Data. | Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng |
| 2020 | WWW | Graph Representation Learning via Graphical Mutual Information Maximization. | Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang |
| 2019 | DASFAA | Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search. | Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng |
| 2019 | DASFAA | Anomaly Detection in Time-Evolving Attributed Networks. | Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu |
| 2018 | IJCAI | ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. | Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng |
| 2017 | AAAI | Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. | Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng |
| 2017 | IJCAI | How Unlabeled Web Videos Help Complex Event Detection? | Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng |
| 2017 | IJCAI | Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. | Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng |
| 2016 | IJCAI | Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ | Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng |