| 2026 | ETRA | Designing Implicit Gaze-Aware Interactions for Scatterplot Analysis. | Tania Sanai Shimabukuro, Feiyang Wang, Mariana Shimabukuro, Christopher Collins |
| 2026 | SIGCOMM | Theseus: Runtime-Adaptive GPU Collective Communication with Hot-Swappable Schedules. | Rui Ding, Xiandong Lu, Jiajun Wang, Xunpeng Liu, Feiyang Wang, Xuran Hao, Houyuan Zhu, Anyi Xu, Sinuo Cao, Haifeng Sun, Qun Huang, Jiamin Cao, Jiaqi Gao |
| 2026 | WSDM | Towards Multifaceted Graph Condensation in Discrete Realm. | Junda Ye, Zhongbao Zhang, Zhizhen He, Feiyang Wang, Li Sun |
| 2025 | AAAI | ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks. | Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen |
| 2025 | CVPR | VisionCube: 3D-Aware Vision-Language Model for Multi-Step Spatial Reasoning. | Feiyang Wang, Nan Luo, Wangyu Wu |
| 2025 | ICML | TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack. | Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen |
| 2025 | ICWS | A Weighted Preference Optimization Service Recommendation Method Based on Knowledge Graph and Large Language Model. | Hongliang Sun, Feiyang Wang, Zhiying Tu, Dianbo Sui, Yongchao Xing, Kai Zhang, Bohai Zhao, Xiaofei Xu |
| 2025 | PAKDD | CLEAR: Cluster-Based Prompt Learning on Heterogeneous Graphs. | Feiyang Wang, Zhongbao Zhang, Junda Ye, Li Sun, Jianzhong Qi |
| 2025 | VTC | Latency- and Jitter-Aware Traffic Scheduling for Hybrid Services in 5G-TSN Integrated Systems. | Feiyang Wang, Zening Liu, Hongxin Lin, Nian Xiong, Cheng Zhang, Yongming Huang |
| 2025 | WWW | CubeRobot: Grounding Language in Rubik's Cube Manipulation via Vision-Language Model. | Feiyang Wang, Xiaomin Yu, Wangyu Wu |
| 2025 | UAI | RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features. | Jialei Song, Xingquan Zuo, Feiyang Wang, Hai Huang, Tianle Zhang |
| 2025 | SIGCOMM | Astraea: Enforcing DPU Performance Isolation in Public Clouds. | Qiyang Peng, Menghao Zhang, Feiyang Wang, Guanyu Li, Chunming Hu |
| 2024 | AAAI | Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning. | Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu |
| 2023 | AAAI | Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. | Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu |
| 2023 | IJCAI | CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. | Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu |
| 2023 | WWW | SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds. | Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren |
| 2022 | WWW | DiriE: Knowledge Graph Embedding with Dirichlet Distribution. | Feiyang Wang, Zhongbao Zhang, Li Sun, Junda Ye, Yang Yan |
| 2021 | AAAI | Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. | Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu |
| 2020 | ETRA | Eye Tracking for Target Acquisition in Sparse Visualizations. | Feiyang Wang, Adam James Bradley, Christopher Collins |
| 2020 | GLOBECOM | Hyperbolic User Identity Linkage across Social Networks. | Feiyang Wang, Li Sun, Zhongbao Zhang |
| 2020 | ICDM | Perfect: A Hyperbolic Embedding for Joint User and Community Alignment. | Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu |
| 2019 | CIKM | Exploiting Multiple Embeddings for Chinese Named Entity Recognition. | Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li |
| 2019 | ICDCS | Detecting Malicious Domains with Behavioral Modeling and Graph Embedding. | Kai Lei, Qiuai Fu, Jiake Ni, Feiyang Wang, Min Yang, Kuai Xu |