Evasion Attacks to Graph Neural Networks via Influence Function. - Binghui Wang; Tianxiang Zhou; Minhua Lin; Pan Zhou 001; Ang Li 005; Meng Pang; Cai Fu; Hai Li 001; Yiran Chen 001 (CoRR, 2020)

A Hybrid Hesitant 2-Tuple IVSF Decision Making Approach to Analyze PERT-Based Critical Paths of New Service Development Process for Renewable Energy Investment Projects. - Fei Cheng 003; Minhua Lin; Serhat Yüksel; Hasan Dinçer; Hakan Kalkavan (IEEE Access, 2021)

Certifiably Robust Graph Contrastive Learning. - Minhua Lin; Teng Xiao; Enyan Dai; Xiang Zhang 001; Suhang Wang (NeurIPS, 2023)

Unnoticeable Backdoor Attacks on Graph Neural Networks. - Enyan Dai; Minhua Lin; Xiang Zhang 001; Suhang Wang (WWW, 2023)

Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. - Zhichao Hou; Minhua Lin; MohamadAli Torkamani; Suhang Wang; Xiaorui Liu (DSAA, 2024)

Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. - Zhiwei Zhang; Minhua Lin; Enyan Dai; Suhang Wang (KDD, 2024)

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. - Binghui Wang; Minhua Lin; Tianxiang Zhou; Pan Zhou 001; Ang Li 005; Meng Pang; Hai Helen Li; Yiran Chen 001 (WSDM, 2024)

PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection. - Enyan Dai; Minhua Lin; Suhang Wang (CoRR, 2024)

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning. - Junjie Xu; Zongyu Wu 001; Minhua Lin; Xiang Zhang 001; Suhang Wang (CoRR, 2024)

Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks. - Zhiwei Zhang; Minhua Lin; Junjie Xu; Zongyu Wu 001; Enyan Dai; Suhang Wang (CoRR, 2024)

Trojan Prompt Attacks on Graph Neural Networks. - Minhua Lin; Zhiwei Zhang; Enyan Dai; Zongyu Wu 001; Yilong Wang 001; Xiang Zhang 001; Suhang Wang (CoRR, 2024)

Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. - Minhua Lin; Zhengzhang Chen; Yanchi Liu; Xujiang Zhao; Zongyu Wu 001; Junxiang Wang; Xiang Zhang 001; Suhang Wang; Haifeng Chen (CoRR, 2024)

Robustness Inspired Graph Backdoor Defense. - Zhiwei Zhang; Minhua Lin; Junjie Xu; Zongyu Wu 001; Enyan Dai; Suhang Wang (ICLR, 2025)

Stealing Training Graphs from Graph Neural Networks. - Minhua Lin; Enyan Dai; Junjie Xu; Jinyuan Jia 001; Xiang Zhang 001; Suhang Wang (KDD (1), 2025)

Fairness-aware Prompt Tuning for Graph Neural Networks. - Zhengpin Li; Minhua Lin; Jian Wang 016; Suhang Wang (WWW, 2025)

LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models. - Zongyu Wu 001; Yuwei Niu; Hongcheng Gao; Minhua Lin; Zhiwei Zhang; Zhifang Zhang; Qi Shi; Yilong Wang 001; Sike Fu; Junjie Xu; Junjie Ao; Enyan Dai; et al. (CoRR, 2025)

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. - Minhua Lin; Hui Liu 003; Xianfeng Tang; Jingying Zeng; Zhenwei Dai; Chen Luo 003; Zheng Li 018; Xiang Zhang 001; Qi He 002; Suhang Wang (CoRR, 2025)

Protap: A Benchmark for Protein Modeling on Realistic Downstream Applications. - Shuo Yan; Yuliang Yan; Bin Ma; Chenao Li; Haochun Tang; Jiahua Lu; Minhua Lin; Yuyuan Feng; Hui Xiong; Enyan Dai (CoRR, 2025)

How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment. - Bin Ma; Yuyuan Feng; Minhua Lin; Enyan Dai (CoRR, 2025)

Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. - Zongyu Wu 001; Minhua Lin; Zhiwei Zhang; Fali Wang; Xianren Zhang; Xiang Zhang 001; Suhang Wang (CoRR, 2025)

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. - Zhiwei Zhang; Hui Liu; Xiaomin Li; Zhenwei Dai; Jingying Zeng; Fali Wang; Minhua Lin; Ramraj Chandradevan; Zheng Li 018; Chen Luo 003; Xianfeng Tang; Qi He 002; et al. (CoRR, 2025)

Pixels, Patterns, but No Poetry: To See The World like Humans. - Hongcheng Gao; Zihao Huang; Lin Xu; Jingyi Tang; Xinhao Li; Yue Liu; Haoyang Li; Taihang Hu; Minhua Lin; Xinlong Yang; Ge Wu; Balong Bi; et al. (CoRR, 2025)