| 2026 | ACL | CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation. | Yanting Li, Zhuoyang Jiang, Enyan Dai, Lei Wang, Wen-Cai Ye, Li Liu |
| 2026 | ACL | Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization. | Haochun Tang, Yuliang Yan, Jiahua Lu, Huaxiao Liu, Enyan Dai |
| 2026 | EACL | DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection. | Yuliang Yan, Haochun Tang, Shuo Yan, Enyan Dai |
| 2026 | WWW | FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks. | Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia |
| 2025 | ICLR | Robustness Inspired Graph Backdoor Defense. | Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang |
| 2025 | KDD | PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep IP Protection. | Enyan Dai, Minhua Lin, Suhang Wang |
| 2025 | KDD | Stealing Training Graphs from Graph Neural Networks. | Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang |
| 2025 | KDD | Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks. | Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang |
| 2025 | PAKDD | LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection. | Wenlun Zhang, Enyan Dai, Kentaro Yoshioka |
| 2024 | CIKM | Effective Clean-Label Backdoor Attacks on Graph Neural Networks. | Xuanhao Fan, Enyan Dai |
| 2024 | CIKM | Shape-aware Graph Spectral Learning. | Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang |
| 2024 | KDD | Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. | Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang |
| 2023 | KDD | A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. | Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang |
| 2023 | WWW | Unnoticeable Backdoor Attacks on Graph Neural Networks. | Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang |
| 2022 | ICDM | HP-GMN: Graph Memory Networks for Heterophilous Graphs. | Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang |
| 2022 | ICLR | Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series. | Enyan Dai, Jie Chen |
| 2022 | WSDM | Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. | Enyan Dai, Wei Jin, Hui Liu, Suhang Wang |
| 2022 | WSDM | Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. | Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang |
| 2021 | CIKM | Towards Self-Explainable Graph Neural Network. | Enyan Dai, Suhang Wang |
| 2021 | KDD | NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. | Enyan Dai, Charu Aggarwal, Suhang Wang |
| 2021 | KDD | Labeled Data Generation with Inexact Supervision. | Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang |
| 2021 | WSDM | Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information. | Enyan Dai, Suhang Wang |
| 2020 | CVPR | Unsupervised Image Super-Resolution with an Indirect Supervised Path. | Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, Qi Tian |
| 2020 | ICWSM | Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. | Enyan Dai, Yiwei Sun, Suhang Wang |