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ORCIDMinhua Lin
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2020 – today
- 2026
[c15]Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen:
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. EACL (Findings) 2026: 6244-6281- [c14]Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang:
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. EACL (Volume 1: Long Papers) 2026: 7945-7957 - [i23]Minhua Lin, Hanqing Lu, Zhan Shi, Bing He, Rui Mao, Zhiwei Zhang, Zongyu Wu, Xianfeng Tang, Hui Liu, Zhenwei Dai, Xiang Zhang, Suhang Wang, Benoît Dumoulin, Jian Pei:
Position: Agentic Evolution is the Path to Evolving LLMs. CoRR abs/2602.00359 (2026) - [i22]Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang:
How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. CoRR abs/2602.00528 (2026) - [i21]Minhua Lin, Zhiwei Zhang, Hanqing Lu, Hui Liu, Xianfeng Tang, Qi He, Xiang Zhang, Suhang Wang:
MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution. CoRR abs/2603.18718 (2026) - 2025
- [c13]Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang:
LLM and GNN Are Complementary: Distilling LLM for Multimodal Graph Learning. IEEE Big Data 2025: 119-124 - [c12]Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen:
xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. ICDM 2025: 1380-1389 - [c11]Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang:
Robustness Inspired Graph Backdoor Defense. ICLR 2025 - [c10]Enyan Dai
, Minhua Lin, Suhang Wang:
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep IP Protection. KDD (2) 2025: 415-426 - [c9]Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang:
Stealing Training Graphs from Graph Neural Networks. KDD (1) 2025: 777-788 - [c8]Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang:
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks. KDD (2) 2025: 1729-1740 - [c7]Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang:
A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness. KDD (2) 2025: 6173-6183 - [c6]Zhengpin Li, Minhua Lin, Jian Wang, Suhang Wang:
Fairness-aware Prompt Tuning for Graph Neural Networks. WWW 2025: 3586-3597 - [i20]Zongyu Wu, Yuwei Niu, Hongcheng Gao, Minhua Lin, Zhiwei Zhang, Zhifang Zhang, Qi Shi, Yilong Wang, Sike Fu, Junjie Xu, Junjie Ao, Enyan Dai, Lei Feng, Xiang Zhang, Suhang Wang:
LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models. CoRR abs/2502.12359 (2025) - [i19]Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang:
How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. CoRR abs/2502.18387 (2025) - [i18]Shuo Yan, Yuliang Yan, Bin Ma, Chenao Li, Haochun Tang, Jiahua Lu, Minhua Lin, Yuyuan Feng, Hui Xiong, Enyan Dai:
Protap: A Benchmark for Protein Modeling on Realistic Downstream Applications. CoRR abs/2506.02052 (2025) - [i17]Bin Ma, Yuyuan Feng, Minhua Lin, Enyan Dai:
How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment. CoRR abs/2506.03087 (2025) - [i16]Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang:
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. CoRR abs/2506.12340 (2025) - [i15]Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Zheng Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang:
Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. CoRR abs/2507.07375 (2025) - [i14]Hongcheng Gao, Zihao Huang, Lin Xu, Jingyi Tang, Xinhao Li, Yue Liu, Haoyang Li, Taihang Hu, Minhua Lin, Xinlong Yang, Ge Wu, Balong Bi, Hongyu Chen, Wentao Zhang:
Pixels, Patterns, but No Poetry: To See The World like Humans. CoRR abs/2507.16863 (2025) - [i13]Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu C. Aggarwal, Hui Liu, Xiang Zhang, Suhang Wang:
A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications. CoRR abs/2510.16724 (2025) - [i12]Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen:
xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. CoRR abs/2510.20651 (2025) - [i11]Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang:
Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation. CoRR abs/2511.02303 (2025) - 2024
- [c5]Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu:
Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. DSAA 2024: 1-2 - [c4]Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang:
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. KDD 2024: 4386-4397 - [c3]Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen:
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. WSDM 2024: 693-701 - [i10]Enyan Dai, Minhua Lin, Suhang Wang:
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection. CoRR abs/2402.04435 (2024) - [i9]Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang:
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. CoRR abs/2405.10757 (2024) - [i8]Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang:
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning. CoRR abs/2406.01032 (2024) - [i7]Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang:
Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks. CoRR abs/2406.09836 (2024) - [i6]Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang:
Trojan Prompt Attacks on Graph Neural Networks. CoRR abs/2410.13974 (2024) - [i5]Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen:
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. CoRR abs/2410.17462 (2024) - [i4]Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang:
Stealing Training Graphs from Graph Neural Networks. CoRR abs/2411.11197 (2024) - 2023
- [c2]Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang:
Certifiably Robust Graph Contrastive Learning. NeurIPS 2023 - [c1]Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang:
Unnoticeable Backdoor Attacks on Graph Neural Networks. WWW 2023: 2263-2273 - [i3]Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang:
Unnoticeable Backdoor Attacks on Graph Neural Networks. CoRR abs/2303.01263 (2023) - [i2]Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang:
Certifiably Robust Graph Contrastive Learning. CoRR abs/2310.03312 (2023) - 2021
- [j1]Fei Cheng, Minhua Lin, Serhat Yüksel, Hasan Dinçer, Hakan Kalkavan:
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. IEEE Access 9: 3947-3969 (2021) - 2020
- [i1]Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen:
Evasion Attacks to Graph Neural Networks via Influence Function. CoRR abs/2009.00203 (2020)
Coauthor Index
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