Luo, Minnan

20 publications

CVPR 2025 ChatGen: Automatic Text-to-Image Generation from FreeStyle Chatting Chengyou Jia, Changliang Xia, Zhuohang Dang, Weijia Wu, Hangwei Qian, Minnan Luo
AAAI 2025 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
NeurIPS 2025 Rethinking Verification for LLM Code Generation: From Generation to Testing Zihan Ma, Taolin Zhang, Maosongcao, Junnan Liu, Wenwei Zhang, Minnan Luo, Songyang Zhang, Kai Chen
NeurIPS 2025 Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection Herun Wan, Jiaying Wu, Minnan Luo, Zhi Zeng, Zhixiong Su
ECML-PKDD 2025 Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Haokai Zhang, Shengtao Zhang, Zijian Cai, Heng Wang, Ruixuan Zhu, Zinan Zeng, Minnan Luo
ICLR 2024 Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
ECML-PKDD 2024 Disentangled Counterfactual Graph Augmentation Framework for Fair Graph Learning with Information Bottleneck Lijing Zheng, Jihong Wang, Huan Liu, Minnan Luo
CVPR 2024 Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang
ICLR 2024 Masked Distillation Advances Self-Supervised Transformer Architecture Search Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng
AAAI 2024 Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang
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, Jingdong Wang
ECML-PKDD 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
CVPR 2023 Noisy Correspondence Learning with Meta Similarity Correction Haochen Han, Kaiyao Miao, Qinghua Zheng, Minnan Luo
AAAI 2022 Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo
NeurIPS 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, 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
IJCAI 2018 ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
IJCAI 2017 Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng
IJCAI 2017 How Unlabeled Web Videos Help Complex Event Detection? Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng
AAAI 2017 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
IJCAI 2016 Avoiding Optimal Mean Robust PCA/2DPCA with Non-Greedy ℓ1-Norm Maximization Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng