Optimal necessary conditions for general SISO Mamdani fuzzy systems as function approximators within a given accuracy. - Fuchun Sun 001; Jin Yang; Minnan Luo; Huaping Liu 001 (FUZZ-IEEE, 2011)

A dynamic T-S fuzzy systems identification algorithm based on sparsity regularization. - Minnan Luo; Fuchun Sun 001; Huaping Liu 001 (ISIC, 2012)

A new algorithm for testing diagnosability of fuzzy discrete event systems. - Minnan Luo; Yongming Li 001; Fuchun Sun 001; Huaping Liu 001 (Inf. Sci., 2012)

Hierarchical Structured Sparse Representation for T-S Fuzzy Systems Identification. - Minnan Luo; Fuchun Sun 001; Huaping Liu 001 (IEEE Trans. Fuzzy Syst., 2013)

Sparse fuzzy c-regression models with application to T-S fuzzy systems identification. - Minnan Luo; Fuchun Sun 001; Huaping Liu 001 (FUZZ-IEEE, 2014)

A novel T-S fuzzy systems identification with block structured sparse representation. - Minnan Luo; Fuchun Sun 001; Huaping Liu 001; Zhijun Li 001 (J. Frankl. Inst., 2014)

Joint Block Structure Sparse Representation for Multi-Input-Multi-Output (MIMO) T-S Fuzzy System Identification. - Minnan Luo; Fuchun Sun 001; Huaping Liu 001 (IEEE Trans. Fuzzy Syst., 2014)

Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ1-Norm Maximization. - Minnan Luo; Feiping Nie 001; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (IJCAI, 2016)

Sparse Multi-Modal Topical Coding for Image Annotation. - Lingyun Song; Minnan Luo; Jun Liu 002; Lingling Zhang 005; Buyue Qian; Max Haifei Li; Qinghua Zheng (Neurocomputing, 2016)

Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions. - Hengshan Zhang; Qinghua Zheng; Ting Liu 002; Zijiang Yang 006; Minnan Luo; Yu Qu (IEEE Trans. Fuzzy Syst., 2016)

Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. - Minnan Luo; Feiping Nie 001; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (AAAI, 2017)

How Unlabeled Web Videos Help Complex Event Detection? - Huan Liu 012; Qinghua Zheng; Minnan Luo; Dingwen Zhang; Xiaojun Chang; Cheng Deng (IJCAI, 2017)

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. - Minnan Luo; Lingling Zhang 005; Feiping Nie 001; Xiaojun Chang; Buyue Qian; Qinghua Zheng (IJCAI, 2017)

Simple to Complex Cross-modal Learning to Rank. - Minnan Luo; Xiaojun Chang; Yi Yang 001; Liqiang Nie; Alexander G. Hauptmann; Qinghua Zheng (CoRR, 2017)

Simple to complex cross-modal learning to rank. - Minnan Luo; Xiaojun Chang; Zhihui Li 001; Liqiang Nie; Alexander G. Hauptmann; Qinghua Zheng (Comput. Vis. Image Underst., 2017)

Distributed extreme learning machine with alternating direction method of multiplier. - Minnan Luo; Lingling Zhang 005; Jun Liu 002; Jun Guo; Qinghua Zheng (Neurocomputing, 2017)

Avoiding Optimal Mean ℓ2, 1-Norm Maximization-Based Robust PCA for Reconstruction. - Minnan Luo; Feiping Nie 001; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (Neural Comput., 2017)

Sparse Relational Topical Coding on multi-modal data. - Lingyun Song; Jun Liu 002; Minnan Luo; Buyue Qian; Kuan Yang (Pattern Recognit., 2017)

ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. - Zhen Peng 005; Minnan Luo; Jundong Li; Huan Liu 001; Qinghua Zheng (IJCAI, 2018)

Top-k multi-class SVM using multiple features. - Caixia Yan; Minnan Luo; Huan Liu 012; Zhihui Li 001; Qinghua Zheng (Inf. Sci., 2018)

Robust dictionary learning with graph regularization for unsupervised person re-identification. - Caixia Yan; Minnan Luo; Wenhe Liu; Qinghua Zheng (Multim. Tools Appl., 2018)

Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. - Lingling Zhang 005; Jun Liu 002; Minnan Luo; Xiaojun Chang; Qinghua Zheng (Neural Comput., 2018)

An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition. - Minnan Luo; Xiaojun Chang; Liqiang Nie; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (IEEE Trans. Cybern., 2018)

Secure Content Delivery With Edge Nodes to Save Caching Resources for Mobile Users in Green Cities. - Qichao Xu; Zhou Su; Qinghua Zheng; Minnan Luo; Bo Dong 001 (IEEE Trans. Ind. Informatics, 2018)

Adaptive Unsupervised Feature Selection With Structure Regularization. - Minnan Luo; Feiping Nie 001; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann; Qinghua Zheng (IEEE Trans. Neural Networks Learn. Syst., 2018)

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search. - Zhen Peng 005; Minnan Luo; Jundong Li; Chen Chen 022; Qinghua Zheng (DASFAA (1), 2019)

Anomaly Detection in Time-Evolving Attributed Networks. - Luguo Xue; Minnan Luo; Zhen Peng 005; Jundong Li; Yan Chen 031; Jun Liu 002 (DASFAA (3), 2019)

Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks. - Qichao Xu; Zhou Su; Qinghua Zheng; Minnan Luo; Bo Dong 001; Kuan Zhang 001 (IEEE Internet Things J., 2019)

Scheduled sampling for one-shot learning via matching network. - Lingling Zhang 005; Jun Liu 002; Minnan Luo; Xiaojun Chang; Qinghua Zheng; Alexander G. Hauptmann (Pattern Recognit., 2019)

Large-Scale Robust Semisupervised Classification. - Lingling Zhang 005; Minnan Luo; Zhihui Li 001; Feiping Nie 001; Huaxiang Zhang 001; Jun Liu 002; Qinghua Zheng (IEEE Trans. Cybern., 2019)

LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition. - Chunfang Liu; Wen-bing Huang 001; Fuchun Sun 001; Minnan Luo; Chuanqi Tan (IEEE Trans. Fuzzy Syst., 2019)

Discrete Multi-Graph Clustering. - Minnan Luo; Caixia Yan; Qinghua Zheng; Xiaojun Chang; Ling Chen 006; Feiping Nie 001 (IEEE Trans. Image Process., 2019)

Graph Few-shot Learning with Attribute Matching. - Ning Wang 020; Minnan Luo; Kaize Ding; Lingling Zhang 005; Jundong Li; Qinghua Zheng (CIKM, 2020)

ZSTAD: Zero-Shot Temporal Activity Detection. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Sen Wang 001; Zongyuan Ge; Alexander G. Hauptmann (CVPR, 2020)

Cross-Graph Representation Learning for Unsupervised Graph Alignment. - Weifan Wang 004; Minnan Luo; Caixia Yan; Meng Wang 009; Xiang Zhao 002; Qinghua Zheng (DASFAA (2), 2020)

Unsupervised Hierarchical Feature Selection on Networked Data. - Yuzhe Zhang 003; Chen Chen 022; Minnan Luo; Jundong Li; Caixia Yan; Qinghua Zheng (DASFAA (3), 2020)

Graph Representation Learning via Graphical Mutual Information Maximization. - Zhen Peng 005; Wenbing Huang 001; Minnan Luo; Qinghua Zheng; Yu Rong 001; Tingyang Xu; Junzhou Huang (WWW, 2020)

Self-Supervised Graph Representation Learning via Global Context Prediction. - Zhen Peng 005; Yixiang Dong; Minnan Luo; Xiao-Ming Wu 003; Qinghua Zheng (CoRR, 2020)

Scalable attack on graph data by injecting vicious nodes. - Jihong Wang 003; Minnan Luo; Fnu Suya; Jundong Li; Zijiang Yang 006; Qinghua Zheng (Data Min. Knowl. Discov., 2020)

Nonlinear feature selection on attributed networks. - Zhongping Lin; Minnan Luo; Zhen Peng 005; Jundong Li; Qinghua Zheng (Neurocomputing, 2020)

An anomaly detection framework for time-evolving attributed networks. - Luguo Xue; Yan Chen 031; Minnan Luo; Zhen Peng 005; Jun Liu 002 (Neurocomputing, 2020)

Dual-stream generative adversarial networks for distributionally robust zero-shot learning. - Huan Liu 012; Lina Yao 001; Qinghua Zheng; Minnan Luo; Hongke Zhao; Yanzhang Lyu (Inf. Sci., 2020)

Memory transformation networks for weakly supervised visual classification. - Huan Liu 012; Qinghua Zheng; Minnan Luo; Xiaojun Chang; Caixia Yan; Lina Yao 001 (Knowl. Based Syst., 2020)

Few-shot activity recognition with cross-modal memory network. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Mahesh Prakash; Alexander G. Hauptmann (Pattern Recognit., 2020)

Progressive generative adversarial networks with reliable sample identification. - Gang Wei; Minnan Luo; Huan Liu 012; Donghui Zhang; Qinghua Zheng (Pattern Recognit. Lett., 2020)

Diverse fuzzy c-means for image clustering. - Lingling Zhang 005; Minnan Luo; Jun Liu 002; Zhihui Li 001; Qinghua Zheng (Pattern Recognit. Lett., 2020)

Semantics-Preserving Graph Propagation for Zero-Shot Object Detection. - Caixia Yan; Qinghua Zheng; Xiaojun Chang; Minnan Luo; Chung-Hsing Yeh; Alexander G. Hauptmann (IEEE Trans. Image Process., 2020)

Deep Top-$k$ Ranking for Image-Sentence Matching. - Lingling Zhang 005; Minnan Luo; Jun Liu 002; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann (IEEE Trans. Multim., 2020)

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)

Towards Entity Alignment in the Open World: An Unsupervised Approach. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Xinyi Li 001; Minnan Luo; Qinghua Zheng (DASFAA (1), 2021)

Knowledge Graph Augmented Political Perspective Detection in News Media. - Shangbin Feng; Zilong Chen; Qingyao Li; Minnan Luo (CoRR, 2021)

Encoding Heterogeneous Social and Political Context for Entity Stance Prediction. - Shangbin Feng; Zilong Chen; Peisheng Yu; Minnan Luo (CoRR, 2021)

PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method. - Binchi Zhang; Minnan Luo; Shangbin Feng; Ziqi Liu; Jun Zhou 011; Qinghua Zheng (CoRR, 2021)

Reliable shot identification for complex event detection via visual-semantic embedding. - Minnan Luo; Xiaojun Chang; Chen Gong 002 (Comput. Vis. Image Underst., 2021)

Self-weighted Robust LDA for Multiclass Classification with Edge Classes. - Caixia Yan; Xiaojun Chang; Minnan Luo; Qinghua Zheng; Xiaoqin Zhang 002; Zhihui Li 001; Feiping Nie 001 (ACM Trans. Intell. Syst. Technol., 2021)

Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. - Shangbin Feng; Zhaoxuan Tan; Rui Li; Minnan Luo (AAAI, 2022)

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)

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 (EMNLP, 2022)

Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. - Weifan Wang 005; Xiaocheng Cheng; Ziqi Liu; Yu Lin; Yue Shen; Binbin Hu; Zhiqiang Zhang 012; Xiaodong Zeng; Jun Zhou 011; Jinjie Gu; Minnan Luo (ICDE, 2022)

KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media. - Wenqian Zhang; Shangbin Feng; Zilong Chen; Zhenyu Lei 004; Jundong Li; Minnan Luo (NAACL-HLT, 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)

Robust Unsupervised Graph Representation Learning via Mutual Information Maximization. - Jihong Wang 003; Minnan Luo; Jundong Li; Ziqi Liu; Jun Zhou 011; Qinghua Zheng (CoRR, 2022)

CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search. - Chengyou Jia; Minnan Luo; Caixia Yan; Xiaojun Chang; Qinghua Zheng (CoRR, 2022)

Towards Explanation for Unsupervised Graph-Level Representation Learning. - Qinghua Zheng; Jihong Wang 003; Minnan Luo; Yaoliang Yu; Jundong Li; Lina Yao 001; Xiaojun Chang (CoRR, 2022)

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach. - Shujie Yang; Binchi Zhang; Shangbin Feng; Zhaoxuan Tan; Qinghua Zheng; Jun Zhou 011; 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; Qinghua Zheng; Minnan Luo (CoRR, 2022)

Disentangled Generation with Information Bottleneck for Few-Shot Learning. - Zhuohang Dang; Jihong Wang 003; Minnan Luo; Chengyou Jia; Caixia Yan; Qinghua Zheng (CoRR, 2022)

Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling. - Xiang Zhao 002; Weixin Zeng; Jiuyang Tang; Xinyi Li 001; Minnan Luo; Qinghua Zheng (Data Sci. Eng., 2022)

A new self-supervised task on graphs: Geodesic distance prediction. - Zhen Peng 005; Yixiang Dong; Minnan Luo; Xiao-Ming Wu 003; Qinghua Zheng (Inf. Sci., 2022)

LookCom: Learning Optimal Network for Community Detection. - Yixiang Dong; Minnan Luo; Jundong Li; Deng Cai 001; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2022)

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks. - Zhen Peng 005; Minnan Luo; Jundong Li; Luguo Xue; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 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)

Noisy Correspondence Learning with Meta Similarity Correction. - Haochen Han; Kaiyao Miao; Qinghua Zheng; Minnan Luo (CVPR, 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)

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. - Heng Wang 008; Wenqian Zhang; Yuyang Bai; Zhaoxuan Tan; Shangbin Feng; Qinghua Zheng; Minnan Luo (EMNLP, 2023)

Towards Real-Time Person Search with Invariant Feature Learning. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Xiaojun Chang; Qinghua Zheng (ICASSP, 2023)

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract). - Zhen Peng 005; Minnan Luo; Jundong Li; Luguo Xue; Qinghua Zheng (ICDE, 2023)

Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. - Jihong Wang 003; Minnan Luo; Jundong Li; Yun Lin 001; Yushun Dong; Jin Song Dong 001; Qinghua Zheng (KDD, 2023)

BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. - Yuhan Liu; Zhaoxuan Tan; Heng Wang 008; Shangbin Feng; Qinghua Zheng; Minnan Luo (SIGIR, 2023)

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 (WWW, 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)

HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention. - Sen Ye; Zhaoxuan Tan; Zhenyu Lei 004; Ruijie He; Hongrui Wang 004; Qinghua Zheng; Minnan Luo (CoRR, 2023)

PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Guang Dai; Xiaojun Chang; Jingdong Wang 001; Qinghua Zheng (CoRR, 2023)

GADY: Unsupervised Anomaly Detection on Dynamic Graphs. - Shiqi Lou; Qingyue Zhang; Shujie Yang; Yuyang Tian; Zhaoxuan Tan; Minnan Luo (CoRR, 2023)

Disentangled Representation Learning with Transmitted Information Bottleneck. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Guang Dai; Jihong Wang 003; Xiaojun Chang; Jingdong Wang 001; Qinghua Zheng (CoRR, 2023)

Learning Representations by Graphical Mutual Information Estimation and Maximization. - Zhen Peng 005; Minnan Luo; Wenbing Huang 001; Jundong Li; Qinghua Zheng; Fuchun Sun 001; Junzhou Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Collaborative Contrastive Refining for Weakly Supervised Person Search. - Chengyou Jia; Minnan Luo; Caixia Yan; Linchao Zhu; Xiaojun Chang; Qinghua Zheng (IEEE Trans. Image Process., 2023)

TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Zhihui Li 001; Lina Yao 001; Alex Hauptmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Dual-channel graph contrastive learning for self-supervised graph-level representation learning. - Zhenfei Luo; Yixiang Dong; Qinghua Zheng; Huan Liu 012; Minnan Luo (Pattern Recognit., 2023)

Counterfactual Generation Framework for Few-Shot Learning. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Caixia Yan; Xiaojun Chang; Qinghua Zheng (IEEE Trans. Circuits Syst. Video Technol., 2023)

Heterogeneous graph attention network with motif clique. - Chenxu Wang 003; Minnan Luo; Zhen Peng 005; Yixiang Dong; Huaping Liu 001 (Neurocomputing, 2023)

Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Guang Dai; Xiaojun Chang; Jingdong Wang 001 (AAAI, 2024)

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 005; Jingdong Wang 001 (AAAI, 2024)

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)

Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection. - Zihan Ma 001; Minnan Luo; Hao Guo; Zhi Zeng; Yiran Hao; Xiang Zhao 002 (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)

Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. - Haochen Han; Qinghua Zheng; Guang Dai; Minnan Luo; Jingdong Wang 001 (CVPR, 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)

Masked Distillation Advances Self-Supervised Transformer Architecture Search. - Caixia Yan; Xiaojun Chang; Zhihui Li 001; Lina Yao 001; Minnan Luo; Qinghua Zheng (ICLR, 2024)

Adversarial Attacks on Fairness of Graph Neural Networks. - Binchi Zhang; Yushun Dong; Chen Chen 022; Yada Zhu; Minnan Luo; Jundong Li (ICLR, 2024)

Learning Multimodal Attention Mixed with Frequency Domain Information as Detector for Fake News Detection. - Zihan Ma 001; Huan Liu 012; Zhi Zeng; Hao Guo; Xiang Zhao 002; Minnan Luo (ICME, 2024)

Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition. - Chengyou Jia; Minnan Luo; Xiaojun Chang; Zhuohang Dang; Mingfei Han 002; Mengmeng Wang 005; Guang Dai; Sizhe Dang; Jingdong Wang 001 (ACM Multimedia, 2024)

Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection. - Zhi Zeng; Minnan Luo; Xiangzheng Kong; Huan Liu 012; Hao Guo; Hao Yang 042; Zihan Ma 001; Xiang Zhao 002 (ACM Multimedia, 2024)

Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. - Wujiang Xu; Xuying Ning; Wenfang Lin; Mingming Ha; Qiongxu Ma; Qianqiao Liang; Xuewen Tao; Linxun Chen; Bing Han; Minnan Luo (ECML/PKDD (1), 2024)

Disentangled Counterfactual Graph Augmentation Framework for Fair Graph Learning with Information Bottleneck. - Lijing Zheng; Jihong Wang 003; Huan Liu; Minnan Luo (ECML/PKDD (1), 2024)

LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. - Zijian Cai; Zhaoxuan Tan; Zhenyu Lei 004; Zifeng Zhu; Hongrui Wang 004; Qinghua Zheng; Minnan Luo (WSDM, 2024)

MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts. - Zinan Zeng; Sen Ye; Zijian Cai; Heng Wang 008; Yuhan Liu; Haokai Zhang; Minnan Luo (CoRR, 2024)

A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels. - Haochen Han; Minnan Luo; Huan Liu; Fang Nan (CoRR, 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)

Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning. - Zhuohang Dang; Minnan Luo; Jihong Wang 003; Chengyou Jia; Caixia Yan; Guang Dai; Xiaojun Chang; Qinghua Zheng (IEEE Trans. Image Process., 2024)

Semi-Supervised Graph Contrastive Learning With Virtual Adversarial Augmentation. - Yixiang Dong; Minnan Luo; Jundong Li; Ziqi Liu; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2024)

Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective. - Jihong Wang 003; Minnan Luo; Jundong Li; Ziqi Liu; Jun Zhou 011; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2024)

Noise-Tolerant Learning for Audio-Visual Action Recognition. - Haochen Han; Qinghua Zheng; Minnan Luo; Kaiyao Miao; Feng Tian 002; Yan Chen 031 (IEEE Trans. Multim., 2024)

Semantics-Guided Contrastive Network for Zero-Shot Object Detection. - Caixia Yan; Xiaojun Chang; Minnan Luo; Huan Liu 012; Xiaoqin Zhang 002; Qinghua Zheng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Disentangled Representation Learning With Transmitted Information Bottleneck. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Guang Dai; Jihong Wang 003; Xiaojun Chang; Jingdong Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection. - Hao Guo; Zihan Ma 001; Zhi Zeng; Minnan Luo; Weixin Zeng; Jiuyang Tang; Xiang Zhao 002 (AAAI, 2025)

AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Qiushi Sun; Fangzhi Xu; Junlin Hu 003; Tianbao Xie; Zhiyong Wu 003 (ACL (Findings), 2025)

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)

Unveiling Fake News with Adversarial Arguments Generated by Multimodal Large Language Models. - Xiaofan Zheng; Minnan Luo; Xinghao Wang (COLING, 2025)

ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting. - Chengyou Jia; Changliang Xia; Zhuohang Dang; Weijia Wu; Hangwei Qian; Minnan Luo (CVPR, 2025)

Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations. - Zihan Ma 001; Minnan Luo; Yiran Hao; Zhi Zeng; Xiangzheng Kong; Jiahao Wang 004 (SIGIR, 2025)

From Predictions to Analyses: Rationale-Augmented Fake News Detection with Large Vision-Language Models. - Xiaofan Zheng; Zinan Zeng; Heng Wang 008; Yuyang Bai; Yuhan Liu; Minnan Luo (WWW, 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)

PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph. - Shengtao Zhang; Haokai Zhang; Shiqi Lou; Zicheng Wang; Zinan Zeng; Yilin Wang; Minnan Luo (CoRR, 2025)

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection. - Haokai Zhang; Shengtao Zhang; Zijian Cai; Heng Wang 008; Ruixuan Zhu; Zinan Zeng; Minnan Luo (CoRR, 2025)

AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning. - Bowen Ping; Minnan Luo; Zhuohang Dang; Chenxi Wang; Chengyou Jia (CoRR, 2025)

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

Multi-Modal Dataset Distillation in the Wild. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Hangwei Qian; Xiaojun Chang; Ivor W. Tsang (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)

From Ideal to Real: Unified and Data-Efficient Dense Prediction for Real-World Scenarios. - Changliang Xia; Chengyou Jia; Zhuohang Dang; Minnan Luo (CoRR, 2025)

Why Settle for One? Text-to-ImageSet Generation and Evaluation. - Chengyou Jia; Xin Shen; Zhuohang Dang; Zhuohang Dang; Changliang Xia; Weijia Wu; Xinyu Zhang; Hangwei Qian; Ivor W. Tsang; Minnan Luo (CoRR, 2025)

PSDiff: Diffusion Model for Person Search With Iterative and Collaborative Refinement. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Guang Dai; Xiaojun Chang; Jingdong Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Rethinking Verification for LLM Code Generation: From Generation to Testing. - Zihan Ma 010; Taolin Zhang 003; Maosong Cao; Junnan Liu; Wenwei Zhang; Minnan Luo; Songyang Zhang; Kai Chen 026 (CoRR, 2025)

DiFaR: Enhancing Multimodal Misinformation Detection with Diverse, Factual, and Relevant Rationales. - Herun Wan; Jiaying Wu; Minnan Luo; Xiangzheng Kong; Zihan Ma 001; Zhi Zeng (CoRR, 2025)

Self-supervised transformer architecture search via multi-level masked information fusion. - Caixia Yan; Xiaojun Chang; Weizhan Zhang; Zhihui Li 001; Lina Yao 001; Minnan Luo; Feng Tian 002 (Inf. Fusion, 2026)