Enyan Dai - RankMe

67 papers A* 10A 7Journal 42Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection. EACL (Findings) Yuliang Yan, Haochun Tang, Shuo Yan, Enyan Dai
2026	A*	`conf`	FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks. WWW Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026	J	`jnl`	FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks. CoRR Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026	J	`jnl`	How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. CoRR 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
2026	J	`jnl`	Poisoning the Inner Prediction Logic of Graph Neural Networks for Clean-Label Backdoor Attacks. CoRR Yuxiang Zhang, Bin Ma, Enyan Dai
2026	J	`jnl`	SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning. CoRR Yuxiang Zhang, Enyan Dai
2025	—	`conf`	Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks. KDD (2) Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
2025	J	`jnl`	Backdoor or Manipulation? Graph Mixture of Experts Can Defend Against Various Graph Adversarial Attacks. CoRR Yuyuan Feng, Bin Ma, Enyan Dai
2025	J	`jnl`	DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection. CoRR Yuliang Yan, Haochun Tang, Shuo Yan, Enyan Dai
2025	J	`jnl`	Fairness in Graph Learning Augmented with Machine Learning: A Survey. CoRR Renqiang Luo, Ziqi Xu, Xikun Zhang, Qing Qing, Huafei Huang, Enyan Dai, Zhe Wang, Bo Yang
2025	J	`jnl`	How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment. CoRR Bin Ma, Yuyuan Feng, Minhua Lin, Enyan Dai
2025	J	`jnl`	LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models. CoRR 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
2025	J	`jnl`	Let's Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links. CoRR Jiahua Lu, Huaxiao Liu, Shuotong Bai, Junjie Xu, Renqiang Luo, Enyan Dai
2025	—	`conf`	LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection. PAKDD (4) Wenlun Zhang, Enyan Dai, Kentaro Yoshioka
2025	J	`jnl`	LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection. CoRR Wenlun Zhang, Enyan Dai, Kentaro Yoshioka
2025	—	`conf`	PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep IP Protection. KDD (2) Enyan Dai, Minhua Lin, Suhang Wang
2025	J	`jnl`	Protap: A Benchmark for Protein Modeling on Realistic Downstream Applications. CoRR Shuo Yan, Yuliang Yan, Bin Ma, Chenao Li, Haochun Tang, Jiahua Lu, Minhua Lin, Yuyuan Feng, Hui Xiong, Enyan Dai
2025	A*	`conf`	Robustness Inspired Graph Backdoor Defense. ICLR Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
2025	—	`conf`	Stealing Training Graphs from Graph Neural Networks. KDD (1) Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang
2025	J	`jnl`	Towards Prototype-Based Self-Explainable Graph Neural Network. ACM Trans. Knowl. Discov. Data Enyan Dai, Suhang Wang
2025	J	`jnl`	UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge. CoRR Chenao Li, Shuo Yan, Enyan Dai
2024	J	`jnl`	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. Mach. Intell. Res. Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
2024	A	`conf`	Effective Clean-Label Backdoor Attacks on Graph Neural Networks. CIKM Xuanhao Fan, Enyan Dai
2024	J	`jnl`	Improving Issue-PR Link Prediction via Knowledge-Aware Heterogeneous Graph Learning. IEEE Trans. Software Eng. Shuotong Bai, Huaxiao Liu, Enyan Dai, Lei Liu
2024	J	`jnl`	PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection. CoRR Enyan Dai, Minhua Lin, Suhang Wang
2024	A*	`conf`	Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. KDD Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang
2024	J	`jnl`	Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. CoRR Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang
2024	J	`jnl`	Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks. CoRR Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
2024	A	`conf`	Shape-aware Graph Spectral Learning. CIKM Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Stealing Training Graphs from Graph Neural Networks. CoRR Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Trojan Prompt Attacks on Graph Neural Networks. CoRR Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
2023	A*	`conf`	A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. KDD Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023	J	`jnl`	A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. CoRR Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023	A*	`conf`	Certifiably Robust Graph Contrastive Learning. NeurIPS Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Certifiably Robust Graph Contrastive Learning. CoRR Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information. IEEE Trans. Knowl. Data Eng. Enyan Dai, Suhang Wang
2023	J	`jnl`	Learning Graph Filters for Spectral GNNs via Newton Interpolation. CoRR Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Learning fair models without sensitive attributes: A generative approach. Neurocomputing Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang
2023	A*	`conf`	Unnoticeable Backdoor Attacks on Graph Neural Networks. WWW Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Unnoticeable Backdoor Attacks on Graph Neural Networks. CoRR Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
2022	J	`jnl`	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. CoRR Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
2022	A*	`conf`	Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series. ICLR Enyan Dai, Jie Chen
2022	J	`jnl`	Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series. CoRR Enyan Dai, Jie Chen
2022	A*	`conf`	HP-GMN: Graph Memory Networks for Heterophilous Graphs. ICDM Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang
2022	J	`jnl`	HP-GMN: Graph Memory Networks for Heterophilous Graphs. CoRR Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang
2022	—	`conf`	Label-Wise Graph Convolutional Network for Heterophilic Graphs. LoG Enyan Dai, Shijie Zhou, Zhimeng Guo, Suhang Wang
2022	A	`conf`	Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. WSDM Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
2022	J	`jnl`	Towards Prototype-Based Self-Explainable Graph Neural Network. CoRR Enyan Dai, Suhang Wang
2022	A	`conf`	Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. WSDM Enyan Dai, Wei Jin, Hui Liu, Suhang Wang
2022	J	`jnl`	Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. CoRR Enyan Dai, Wei Jin, Hui Liu, Suhang Wang
2021	J	`jnl`	Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs. CoRR Enyan Dai, Zhimeng Guo, Suhang Wang
2021	A*	`conf`	Labeled Data Generation with Inexact Supervision. KDD Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
2021	J	`jnl`	Labeled Data Generation with Inexact Supervision. CoRR Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
2021	A*	`conf`	NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. KDD Enyan Dai, Charu Aggarwal, Suhang Wang
2021	J	`jnl`	NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. CoRR Enyan Dai, Charu C. Aggarwal, Suhang Wang
2021	A	`conf`	Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information. WSDM Enyan Dai, Suhang Wang
2021	J	`jnl`	Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network. CoRR Yuqing Hu, Xiaoyuan Cheng, Suhang Wang, Jianli Chen, Tianxiang Zhao, Enyan Dai
2021	A	`conf`	Towards Self-Explainable Graph Neural Network. CIKM Enyan Dai, Suhang Wang
2021	J	`jnl`	Towards Self-Explainable Graph Neural Network. CoRR Enyan Dai, Suhang Wang
2021	J	`jnl`	You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features. CoRR Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
2020	J	`jnl`	FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information. CoRR Enyan Dai, Suhang Wang
2020	A	`conf`	Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. ICWSM Enyan Dai, Yiwei Sun, Suhang Wang
2020	J	`jnl`	Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. CoRR Enyan Dai, Yiwei Sun, Suhang Wang
2020	—	`conf`	TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. W-NUT@EMNLP Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
2020	J	`jnl`	TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text. CoRR Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
2020	—	`conf`	Unsupervised Image Super-Resolution with an Indirect Supervised Path. CVPR Workshops Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, Qi Tian
2019	J	`jnl`	Unsupervised Image Super-Resolution with an Indirect Supervised Path. CoRR Zhen Han, Enyan Dai, Xu Jia, Xiaoying Ren, Shuaijun Chen, Chunjing Xu, Jianzhuang Liu, Qi Tian