Minnan Luo

197 papers A* 34A 7B 4Misc 1Journal 131Unranked 20
YearRankTypeTitle / Venue / Authors
2026 A* conf
Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?
AAAI
Shiyan Zheng, Herun Wan, Minnan Luo, Junhang Huang
2026 A* conf
Correspondence Coverage Matters for Multi-Modal Dataset Distillation.
AAAI
Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xinyu Zhang, Xiaojun Chang, Ivor W. Tsang
2026 J jnl
Dynamic graph representation learning with disentangled information bottleneck.
Neural Networks
Jihong Wang, Yuxin Bai, Chunqiang Zhu, Hao Qian, Ziqi Liu, Minnan Luo
2026 J jnl
Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models.
CoRR
Bowen Ping, Chengyou Jia, Minnan Luo, Hangwei Qian, Ivor W. Tsang
2026 A* conf
From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild.
WWW
Zhi Zeng, Yifei Yang, Jiaying Wu, Xulang Zhang, Xiangzheng Kong, Herun Wan, Zihan Ma, Minnan Luo
2026 J jnl
From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild.
CoRR
Zhi Zeng, Yifei Yang, Jiaying Wu, Xulang Zhang, Xiangzheng Kong, Herun Wan, Zihan Ma, Minnan Luo
2026 J jnl
GIDE: Unlocking Diffusion LLMs for Precise Training-Free Image Editing.
CoRR
Zifeng Zhu, Jiaming Han, Jiaxiang Zhao, Minnan Luo, Xiangyu Yue
2026 J jnl
HCGBot: Learning Homophilous Context Graphs for Twitter Bot Detection.
IEEE Trans. Knowl. Data Eng.
Herun Wan, Minnan Luo, Jihong Wang, Xiaojun Chang, Qinghua Zheng
2026 J jnl
Memory-guided Prototypical Co-occurrence Learning for Mixed Emotion Recognition.
CoRR
Ming Li, Yong-Jin Liu, Fang Liu, Huankun Sheng, Yeying Fan, Yixiang Wei, Minnan Luo, Weizhan Zhang, Wenping Wang
2026 J jnl
Self-supervised transformer architecture search via multi-level masked information fusion.
Inf. Fusion
Caixia Yan, Xiaojun Chang, Weizhan Zhang, Zhihui Li, Lina Yao, Minnan Luo, Feng Tian
2026 J jnl
The Facade of Truth: Uncovering and Mitigating LLM Susceptibility to Deceptive Evidence.
CoRR
Herun Wan, Jiaying Wu, Minnan Luo, Fanxiao Li, Zhi Zeng, Min-Yen Kan
2025 J jnl
A Unified Optimal Transport Framework for Cross-Modal Retrieval With Noisy Labels.
IEEE Trans. Neural Networks Learn. Syst.
Haochen Han, Minnan Luo, Huan Liu, Fang Nan, Jun Liu
2025 — conf
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant.
ACL (Findings)
Chengyou Jia, Minnan Luo, Zhuohang Dang, Qiushi Sun, Fangzhi Xu, Junlin Hu, Tianbao Xie, Zhiyong Wu
2025 J jnl
AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning.
CoRR
Bowen Ping, Minnan Luo, Zhuohang Dang, Chenxi Wang, Chengyou Jia
2025 J jnl
Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?
CoRR
Shiyan Zheng, Herun Wan, Minnan Luo, Jun Huang
2025 A* conf
Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations.
SIGIR
Zihan Ma, Minnan Luo, Yiran Hao, Zhi Zeng, Xiangzheng Kong, Jiahao Wang
2025 A* conf
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting.
CVPR
Chengyou Jia, Changliang Xia, Zhuohang Dang, Weijia Wu, Hangwei Qian, Minnan Luo
2025 A* conf
Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models.
EMNLP
Yilin Wang, Heng Wang, Yuyang Bai, Minnan Luo
2025 J jnl
Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models.
CoRR
Yilin Wang, Heng Wang, Yuyang Bai, Minnan Luo
2025 J jnl
D
CoRR
Changliang Xia, Chengyou Jia, Minnan Luo, Zhuohang Dang, Xin Shen, Bowen Ping
2025 J jnl
DiFaR: Enhancing Multimodal Misinformation Detection with Diverse, Factual, and Relevant Rationales.
CoRR
Herun Wan, Jiaying Wu, Minnan Luo, Xiangzheng Kong, Zihan Ma, Zhi Zeng
2025 J jnl
Disentangled Noisy Correspondence Learning.
IEEE Trans. Image Process.
Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Haochen Han, Herun Wan, Guang Dai, Xiaojun Chang, Jingdong Wang
2025 A* conf
Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection.
AAAI
Hao Guo, Zihan Ma, Zhi Zeng, Minnan Luo, Weixin Zeng, Jiuyang Tang, Xiang Zhao
2025 J jnl
From Ideal to Real: Unified and Data-Efficient Dense Prediction for Real-World Scenarios.
CoRR
Changliang Xia, Chengyou Jia, Zhuohang Dang, Minnan Luo
2025 A* conf
From Predictions to Analyses: Rationale-Augmented Fake News Detection with Large Vision-Language Models.
WWW
Xiaofan Zheng, Zinan Zeng, Heng Wang, Yuyang Bai, Yuhan Liu, Minnan Luo
2025 J jnl
Graphing the Truth: Harnessing Causal Insights for Advanced Multimodal Fake News Detection.
IEEE Trans. Inf. Forensics Secur.
Zihan Ma, Minnan Luo, Zhi Zeng, Herun Wan, Yifei Li, Xiang Zhao
2025 J jnl
GuessBench: Sensemaking Multimodal Creativity in the Wild.
CoRR
Zifeng Zhu, Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo, Yulia Tsvetkov
2025 — conf
HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring.
ACL (1)
Zhixiong Su, Yichen Wang, Herun Wan, Zhaohan Zhang, Minnan Luo
2025 J jnl
HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring.
CoRR
Zhixiong Su, Yichen Wang, Herun Wan, Zhaohan Zhang, Minnan Luo
2025 A conf
Harmony in Chaos: A Progressive Noise-Resilient Network for Robust Fake News Video Detection.
ICME
Xiangzheng Kong, Zhi Zeng, Chenxi Zhu, Zihan Ma, Minnan Luo
2025 J jnl
How Brittle is Agent Safety? Rethinking Agent Risk under Intent Concealment and Task Complexity.
CoRR
Zihan Ma, Dongsheng Zhu, Shudong Liu, Taolin Zhang, Junnan Liu, Qingqiu Li, Minnan Luo, Songyang Zhang, Kai Chen
2025 A* conf
How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis.
EMNLP
Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao
2025 — conf
IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection.
ACL (1)
Zhi Zeng, Jiaying Wu, Minnan Luo, Herun Wan, Xiangzheng Kong, Zihan Ma, Guang Dai, Qinghua Zheng
2025 J jnl
Multi-Modal Dataset Distillation in the Wild.
CoRR
Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xiaojun Chang, Ivor W. Tsang
2025 — conf
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs.
ACL (1)
Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao
2025 J jnl
PSDiff: Diffusion Model for Person Search With Iterative and Collaborative Refinement.
IEEE Trans. Circuits Syst. Video Technol.
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang
2025 J jnl
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph.
CoRR
Shengtao Zhang, Haokai Zhang, Shiqi Lou, Zicheng Wang, Zinan Zeng, Yilin Wang, Minnan Luo
2025 J jnl
PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling.
CoRR
Bowen Ping, Chengyou Jia, Minnan Luo, Changliang Xia, Xin Shen, Zhuohang Dang, Hangwei Qian
2025 J jnl
Rethinking Verification for LLM Code Generation: From Generation to Testing.
CoRR
Zihan Ma, Taolin Zhang, Maosong Cao, Junnan Liu, Wenwei Zhang, Minnan Luo, Songyang Zhang, Kai Chen
2025 J jnl
TeST: Temporal-spatial separated transformer for temporal action localization.
Neurocomputing
Herun Wan, Minnan Luo, Zhihui Li, Yang Wang
2025 J jnl
Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection.
CoRR
Herun Wan, Jiaying Wu, Minnan Luo, Zhi Zeng, Zhixiong Su
2025 A* conf
Understand, Refine and Summarize: Multi-View Knowledge Progressive Enhancement Learning for Fake News Video Detection.
ACM Multimedia
Zhi Zeng, Jiaying Wu, Minnan Luo, Xiangzheng Kong, Zihan Ma, Guang Dai, Qinghua Zheng
2025 B conf
Unveiling Fake News with Adversarial Arguments Generated by Multimodal Large Language Models.
COLING
Xiaofan Zheng, Minnan Luo, Xinghao Wang
2025 — conf
Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection.
ECML/PKDD (3)
Haokai Zhang, Shengtao Zhang, Zijian Cai, Heng Wang, Ruixuan Zhu, Zinan Zeng, Minnan Luo
2025 J jnl
Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection.
CoRR
Haokai Zhang, Shengtao Zhang, Zijian Cai, Heng Wang, Ruixuan Zhu, Zinan Zeng, Minnan Luo
2025 J jnl
Why Settle for One? Text-to-ImageSet Generation and Evaluation.
CoRR
Chengyou Jia, Xin Shen, Zhuohang Dang, Changliang Xia, Weijia Wu, Xinyu Zhang, Hangwei Qian, Ivor W. Tsang, Minnan Luo
2024 J jnl
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels.
CoRR
Haochen Han, Minnan Luo, Huan Liu, Fang Nan
2024 A* conf
Adversarial Attacks on Fairness of Graph Neural Networks.
ICLR
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2024 J jnl
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant.
CoRR
Chengyou Jia, Minnan Luo, Zhuohang Dang, Qiushi Sun, Fangzhi Xu, Junlin Hu, Tianbao Xie, Zhiyong Wu
2024 J jnl
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting.
CoRR
Chengyou Jia, Changliang Xia, Zhuohang Dang, Weijia Wu, Hangwei Qian, Minnan Luo
2024 — conf
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection.
ACL (Findings)
Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo
2024 J jnl
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection.
CoRR
Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo
2024 — conf
Disentangled Counterfactual Graph Augmentation Framework for Fair Graph Learning with Information Bottleneck.
ECML/PKDD (1)
Lijing Zheng, Jihong Wang, Huan Liu, Minnan Luo
2024 J jnl
Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning.
IEEE Trans. Image Process.
Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Caixia Yan, Guang Dai, Xiaojun Chang, Qinghua Zheng
2024 J jnl
Disentangled Noisy Correspondence Learning.
CoRR
Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Haochen Han, Herun Wan, Guang Dai, Xiaojun Chang, Jingdong Wang
2024 J jnl
Disentangled Representation Learning With Transmitted Information Bottleneck.
IEEE Trans. Circuits Syst. Video Technol.
Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang
2024 J jnl
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection.
CoRR
Hao Guo, Zihan Ma, Zhi Zeng, Minnan Luo, Weixin Zeng, Jiuyang Tang, Xiang Zhao
2024 — conf
Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection.
ACL (1)
Zihan Ma, Minnan Luo, Hao Guo, Zhi Zeng, Yiran Hao, Xiang Zhao
2024 — conf
FNDPro: Evaluating the Importance of Propagations during Fake News Spread.
DASFAA (6)
Herun Wan, Ningnan Wang, Xiang Zhao, Rui Li, Hui Yang, Minnan Luo
2024 A* conf
Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition.
ACM Multimedia
Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang
2024 J jnl
How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis.
CoRR
Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao
2024 A conf
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection.
WSDM
Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo
2024 A conf
Learning Multimodal Attention Mixed with Frequency Domain Information as Detector for Fake News Detection.
ICME
Zihan Ma, Huan Liu, Zhi Zeng, Hao Guo, Xiang Zhao, Minnan Luo
2024 A* conf
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval.
CVPR
Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang
2024 J jnl
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval.
CoRR
Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang
2024 J jnl
MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts.
CoRR
Zinan Zeng, Sen Ye, Zijian Cai, Heng Wang, Yuhan Liu, Haokai Zhang, Minnan Luo
2024 A* conf
Masked Distillation Advances Self-Supervised Transformer Architecture Search.
ICLR
Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng
2024 A* conf
Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection.
ACM Multimedia
Zhi Zeng, Minnan Luo, Xiangzheng Kong, Huan Liu, Hao Guo, Hao Yang, Zihan Ma, Xiang Zhao
2024 J jnl
Noise-Tolerant Learning for Audio-Visual Action Recognition.
IEEE Trans. Multim.
Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, Feng Tian, Yan Chen
2024 A* conf
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation.
AAAI
Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang
2024 J jnl
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs.
CoRR
Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao
2024 A* conf
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation.
AAAI
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang
2024 J jnl
Semantics-Guided Contrastive Network for Zero-Shot Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng
2024 J jnl
Semi-Supervised Graph Contrastive Learning With Virtual Adversarial Augmentation.
IEEE Trans. Knowl. Data Eng.
Yixiang Dong, Minnan Luo, Jundong Li, Ziqi Liu, Qinghua Zheng
2024 J jnl
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective.
IEEE Trans. Knowl. Data Eng.
Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng
2024 — conf
Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach.
ECML/PKDD (1)
Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo
2024 — conf
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection.
ACL (1)
Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov
2024 J jnl
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection.
CoRR
Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov
2023 A* conf
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract).
ICDE
Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng
2023 J jnl
Adversarial Attacks on Fairness of Graph Neural Networks.
CoRR
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2023 — conf
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.
ACL (1)
Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo
2023 A* conf
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts.
SIGIR
Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo
2023 J jnl
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts.
CoRR
Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo
2023 — conf
BotPercent: Estimating Bot Populations in Twitter Communities.
EMNLP (Findings)
Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov
2023 J jnl
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds.
CoRR
Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov
2023 J jnl
Collaborative Contrastive Refining for Weakly Supervised Person Search.
IEEE Trans. Image Process.
Chengyou Jia, Minnan Luo, Caixia Yan, Linchao Zhu, Xiaojun Chang, Qinghua Zheng
2023 J jnl
Counterfactual Generation Framework for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol.
Zhuohang Dang, Minnan Luo, Chengyou Jia, Caixia Yan, Xiaojun Chang, Qinghua Zheng
2023 A* conf
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks.
EMNLP
Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo
2023 J jnl
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks.
CoRR
Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo
2023 J jnl
Disentangled Representation Learning with Transmitted Information Bottleneck.
CoRR
Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang, Qinghua Zheng
2023 J jnl
Dual-channel graph contrastive learning for self-supervised graph-level representation learning.
Pattern Recognit.
Zhenfei Luo, Yixiang Dong, Qinghua Zheng, Huan Liu, Minnan Luo
2023 A* conf
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.
KDD
Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng
2023 J jnl
GADY: Unsupervised Anomaly Detection on Dynamic Graphs.
CoRR
Shiqi Lou, Qingyue Zhang, Shujie Yang, Yuyang Tian, Zhaoxuan Tan, Minnan Luo
2023 J jnl
Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition.
CoRR
Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang
2023 J jnl
HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention.
CoRR
Sen Ye, Zhaoxuan Tan, Zhenyu Lei, Ruijie He, Hongrui Wang, Qinghua Zheng, Minnan Luo
2023 J jnl
Heterogeneous graph attention network with motif clique.
Neurocomputing
Chenxu Wang, Minnan Luo, Zhen Peng, Yixiang Dong, Huaping Liu
2023 A* conf
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion.
WWW
Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
2023 J jnl
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection.
CoRR
Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Hongrui Wang, Zifeng Zhu, Qinghua Zheng, Minnan Luo
2023 J jnl
Learning Representations by Graphical Mutual Information Estimation and Maximization.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang
2023 A* conf
Noisy Correspondence Learning with Meta Similarity Correction.
CVPR
Haochen Han, Kaiyao Miao, Qinghua Zheng, Minnan Luo
2023 J jnl
Noisy Correspondence Learning with Meta Similarity Correction.
CoRR
Haochen Han, Kaiyao Miao, Qinghua Zheng, Minnan Luo
2023 J jnl
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation.
CoRR
Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang
2023 J jnl
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement.
CoRR
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang, Qinghua Zheng
2023 J jnl
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation.
CoRR
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang
2023 J jnl
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann
2023 J jnl
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach.
CoRR
Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo
2023 Misc conf
Towards Real-Time Person Search with Invariant Feature Learning.
ICASSP
Chengyou Jia, Minnan Luo, Zhuohang Dang, Xiaojun Chang, Qinghua Zheng
2022 J jnl
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks.
IEEE Trans. Knowl. Data Eng.
Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng
2022 J jnl
A new self-supervised task on graphs: Geodesic distance prediction.
Inf. Sci.
Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng
2022 J jnl
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach.
CoRR
Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo
2022 J jnl
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.
CoRR
Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Qinghua Zheng, Minnan Luo
2022 J jnl
CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search.
CoRR
Chengyou Jia, Minnan Luo, Caixia Yan, Xiaojun Chang, Qinghua Zheng
2022 J jnl
Disentangled Generation with Information Bottleneck for Few-Shot Learning.
CoRR
Zhuohang Dang, Jihong Wang, Minnan Luo, Chengyou Jia, Caixia Yan, Qinghua Zheng
2022 A conf
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.
CIKM
Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo
2022 J jnl
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.
CoRR
Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Jun Zhou, Qinghua Zheng, Minnan Luo
2022 A* conf
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers.
AAAI
Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo
2022 A* conf
Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing.
ICDE
Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo
2022 — conf
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media.
NAACL-HLT
Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo
2022 J jnl
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media.
CoRR
Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo
2022 J jnl
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion.
CoRR
Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
2022 J jnl
LookCom: Learning Optimal Network for Community Detection.
IEEE Trans. Knowl. Data Eng.
Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng
2022 J jnl
Noise-Tolerant Learning for Audio-Visual Action Recognition.
CoRR
Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, Feng Tian, Yan Chen
2022 A* conf
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge.
EMNLP
Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo
2022 J jnl
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge.
CoRR
Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo
2022 J jnl
Robust Unsupervised Graph Representation Learning via Mutual Information Maximization.
CoRR
Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng
2022 J jnl
Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling.
Data Sci. Eng.
Xiang Zhao, Weixin Zeng, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng
2022 J jnl
Towards Explanation for Unsupervised Graph-Level Representation Learning.
CoRR
Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang
2022 A* conf
TwiBot-22: Towards Graph-Based Twitter Bot Detection.
NeurIPS
Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
2022 J jnl
TwiBot-22: Towards Graph-Based Twitter Bot Detection.
CoRR
Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
2021 J jnl
BotRGCN: Twitter Bot Detection with Relational Graph Convolutional Networks.
CoRR
Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo
2021 B conf
BotRGCN: Twitter bot detection with relational graph convolutional networks.
ASONAM
Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo
2021 J jnl
Encoding Heterogeneous Social and Political Context for Entity Stance Prediction.
CoRR
Shangbin Feng, Zilong Chen, Peisheng Yu, Minnan Luo
2021 J jnl
Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers.
CoRR
Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo
2021 J jnl
Knowledge Graph Augmented Political Perspective Detection in News Media.
CoRR
Shangbin Feng, Zilong Chen, Qingyao Li, Minnan Luo
2021 J jnl
PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method.
CoRR
Binchi Zhang, Minnan Luo, Shangbin Feng, Ziqi Liu, Jun Zhou, Qinghua Zheng
2021 J jnl
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding.
CoRR
Minnan Luo, Xiaojun Chang, Chen Gong
2021 J jnl
Reliable shot identification for complex event detection via visual-semantic embedding.
Comput. Vis. Image Underst.
Minnan Luo, Xiaojun Chang, Chen Gong
2021 A conf
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection.
CIKM
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
2021 J jnl
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection.
CoRR
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
2021 J jnl
Self-weighted Robust LDA for Multiclass Classification with Edge Classes.
ACM Trans. Intell. Syst. Technol.
Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie
2021 J jnl
Semantics-Guided Contrastive Network for Zero-Shot Object detection.
CoRR
Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng
2021 — conf
Towards Entity Alignment in the Open World: An Unsupervised Approach.
DASFAA (1)
Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng
2021 J jnl
Towards Entity Alignment in the Open World: An Unsupervised Approach.
CoRR
Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng
2021 A conf
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.
CIKM
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
2021 J jnl
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.
CoRR
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
2020 J jnl
An anomaly detection framework for time-evolving attributed networks.
Neurocomputing
Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu
2020 — conf
Cross-Graph Representation Learning for Unsupervised Graph Alignment.
DASFAA (2)
Weifan Wang, Minnan Luo, Caixia Yan, Meng Wang, Xiang Zhao, Qinghua Zheng
2020 J jnl
Deep Top-$k$ Ranking for Image-Sentence Matching.
IEEE Trans. Multim.
Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann
2020 J jnl
Diverse fuzzy
Pattern Recognit. Lett.
Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng
2020 J jnl
Dual-stream generative adversarial networks for distributionally robust zero-shot learning.
Inf. Sci.
Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao, Yanzhang Lyu
2020 J jnl
Few-shot activity recognition with cross-modal memory network.
Pattern Recognit.
Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Mahesh Prakash, Alexander G. Hauptmann
2020 A conf
Graph Few-shot Learning with Attribute Matching.
CIKM
Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng
2020 A* conf
Graph Representation Learning via Graphical Mutual Information Maximization.
WWW
Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
2020 J jnl
Graph Representation Learning via Graphical Mutual Information Maximization.
CoRR
Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
2020 J jnl
Memory transformation networks for weakly supervised visual classification.
Knowl. Based Syst.
Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, Lina Yao
2020 J jnl
Nonlinear feature selection on attributed networks.
Neurocomputing
Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng
2020 J jnl
Progressive generative adversarial networks with reliable sample identification.
Pattern Recognit. Lett.
Gang Wei, Minnan Luo, Huan Liu, Donghui Zhang, Qinghua Zheng
2020 J jnl
Scalable Attack on Graph Data by Injecting Vicious Nodes.
CoRR
Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng
2020 J jnl
Scalable attack on graph data by injecting vicious nodes.
Data Min. Knowl. Discov.
Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng
2020 J jnl
Self-Supervised Graph Representation Learning via Global Context Prediction.
CoRR
Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng
2020 J jnl
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes.
CoRR
Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie
2020 J jnl
Semantics-Preserving Graph Propagation for Zero-Shot Object Detection.
IEEE Trans. Image Process.
Caixia Yan, Qinghua Zheng, Xiaojun Chang, Minnan Luo, Chung-Hsing Yeh, Alexander G. Hauptmann
2020 — conf
Unsupervised Hierarchical Feature Selection on Networked Data.
DASFAA (3)
Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng
2020 A* conf
ZSTAD: Zero-Shot Temporal Activity Detection.
CVPR
Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann
2020 J jnl
ZSTAD: Zero-Shot Temporal Activity Detection.
CoRR
Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann
2019 — conf
Anomaly Detection in Time-Evolving Attributed Networks.
DASFAA (3)
Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu
2019 J jnl
Discrete Multi-Graph Clustering.
IEEE Trans. Image Process.
Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie
2019 J jnl
Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks.
IEEE Internet Things J.
Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong, Kuan Zhang
2019 — conf
Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.
DASFAA (1)
Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng
2019 J jnl
LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition.
IEEE Trans. Fuzzy Syst.
Chunfang Liu, Wen-bing Huang, Fuchun Sun, Minnan Luo, Chuanqi Tan
2019 J jnl
Large-Scale Robust Semisupervised Classification.
IEEE Trans. Cybern.
Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, Qinghua Zheng
2019 J jnl
Scheduled sampling for one-shot learning via matching network.
Pattern Recognit.
Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann
2018 A* conf
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.
IJCAI
Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
2018 J jnl
Adaptive Unsupervised Feature Selection With Structure Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng
2018 J jnl
An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition.
IEEE Trans. Cybern.
Minnan Luo, Xiaojun Chang, Liqiang Nie, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng
2018 J jnl
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy.
Neural Comput.
Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng
2018 J jnl
Robust dictionary learning with graph regularization for unsupervised person re-identification.
Multim. Tools Appl.
Caixia Yan, Minnan Luo, Wenhe Liu, Qinghua Zheng
2018 J jnl
Secure Content Delivery With Edge Nodes to Save Caching Resources for Mobile Users in Green Cities.
IEEE Trans. Ind. Informatics
Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong
2018 J jnl
Top-
Inf. Sci.
Caixia Yan, Minnan Luo, Huan Liu, Zhihui Li, Qinghua Zheng
2017 A* conf
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression.
IJCAI
Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng
2017 J jnl
Avoiding Optimal Mean ℓ
Neural Comput.
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng
2017 J jnl
Distributed extreme learning machine with alternating direction method of multiplier.
Neurocomputing
Minnan Luo, Lingling Zhang, Jun Liu, Jun Guo, Qinghua Zheng
2017 A* conf
How Unlabeled Web Videos Help Complex Event Detection?
IJCAI
Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng
2017 A* conf
Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling.
AAAI
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng
2017 J jnl
Simple to Complex Cross-modal Learning to Rank.
CoRR
Minnan Luo, Xiaojun Chang, Yi Yang, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng
2017 J jnl
Simple to complex cross-modal learning to rank.
Comput. Vis. Image Underst.
Minnan Luo, Xiaojun Chang, Zhihui Li, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng
2017 J jnl
Sparse Relational Topical Coding on multi-modal data.
Pattern Recognit.
Lingyun Song, Jun Liu, Minnan Luo, Buyue Qian, Kuan Yang
2016 A* conf
Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ
IJCAI
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng
2016 J jnl
Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions.
IEEE Trans. Fuzzy Syst.
Hengshan Zhang, Qinghua Zheng, Ting Liu, Zijiang Yang, Minnan Luo, Yu Qu
2016 J jnl
Sparse Multi-Modal Topical Coding for Image Annotation.
Neurocomputing
Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Buyue Qian, Max Haifei Li, Qinghua Zheng
2014 J jnl
A novel T-S fuzzy systems identification with block structured sparse representation.
J. Frankl. Inst.
Minnan Luo, Fuchun Sun, Huaping Liu, Zhijun Li
2014 J jnl
Joint Block Structure Sparse Representation for Multi-Input-Multi-Output (MIMO) T-S Fuzzy System Identification.
IEEE Trans. Fuzzy Syst.
Minnan Luo, Fuchun Sun, Huaping Liu
2014 B conf
Sparse fuzzy c-regression models with application to T-S fuzzy systems identification.
FUZZ-IEEE
Minnan Luo, Fuchun Sun, Huaping Liu
2013 J jnl
Hierarchical Structured Sparse Representation for T-S Fuzzy Systems Identification.
IEEE Trans. Fuzzy Syst.
Minnan Luo, Fuchun Sun, Huaping Liu
2012 — conf
A dynamic T-S fuzzy systems identification algorithm based on sparsity regularization.
ISIC
Minnan Luo, Fuchun Sun, Huaping Liu
2012 J jnl
A new algorithm for testing diagnosability of fuzzy discrete event systems.
Inf. Sci.
Minnan Luo, Yongming Li, Fuchun Sun, Huaping Liu
2011 B conf
Optimal necessary conditions for general SISO Mamdani fuzzy systems as function approximators within a given accuracy.
FUZZ-IEEE
Fuchun Sun, Jin Yang, Minnan Luo, Huaping Liu