| 2026 | WSDM | DGNet: Enhancing Parallel CTR Prediction Models via Decoupled Gated Network: Enhancing Parallel CTR Prediction Models via Decoupled Gated Network. | Fangye Wang, Xiaoran Yan |
| 2025 | CGI | Hierarchical Action Recognition: A Contrastive Video-Language Approach with Hierarchical Interactions. | Rui Zhang, Shuailong Li, Junxiao Xue, Diying Yan, Feng Lin, Qing Zhang, Xiao Ma, Xiaoran Yan |
| 2025 | DASFAA | Alignment-Uniformity Aware Feature Representation Learning for CTR Prediction. | Fangye Wang, Xiaoran Yan |
| 2024 | CSCWD | Point-Correlate Adversarial Transformer for Unsupervised Multivariate Time Series Anomaly Detection. | Huan Li, Xiangjie Kong, Guojiang Shen, Xiaoran Yan, Yao Yang, Mario Collotta |
| 2024 | ICASSP | AdaFL: Adaptive Client Selection and Dynamic Contribution Evaluation for Efficient Federated Learning. | Qingming Li, Xiaohang Li, Li Zhou, Xiaoran Yan |
| 2024 | ICASSP | Position-Aware Active Learning for Multi-Modal Entity Alignment. | Baogui Xu, Yafei Lu, Bing Su, Xiaoran Yan |
| 2024 | ICASSP | Video-Language Graph Convolutional Network for Human Action Recognition. | Rui Zhang, Xiaoran Yan |
| 2024 | KDD | Flexible Graph Neural Diffusion with Latent Class Representation Learning. | Liangtian Wan, Huijin Han, Lu Sun, Zixun Zhang, Zhaolong Ning, Xiaoran Yan, Feng Xia |
| 2024 | TrustCom | FedSGProx: Mitigating Data Heterogeneity and Isolated Nodes in Graph Federated Learning. | Xutao Meng, Qingming Li, Yong Li, Li Zhou, Xiaoran Yan |
| 2023 | WWW | Self-Supervised Teaching and Learning of Representations on Graphs. | Liangtian Wan, Zhenqiang Fu, Lu Sun, Xianpeng Wang, Gang Xu, Xiaoran Yan, Feng Xia |
| 2023 | WWW | Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters. | Liangtian Wan, Xiaona Li, Huijin Han, Xiaoran Yan, Lu Sun, Zhaolong Ning, Feng Xia |
| 2021 | CIKM | CADRE: A Cloud-Based Data Service for Big Bibliographic Data. | Xiaoran Yan, Guangchen Ruan, Dimitar Nikolov, Matthew Hutchinson, Chathuri Peli Kankanamalage, Benjamin Serrette, James R. McCombs, Alan Walsh, Esen Tuna, Valentin Pentchev |
| 2015 | MICCAI | Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly. | Madelaine Daianu, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xiaoran Yan, Gautam Prasad, Kristina Lerman, Aram Galstyan, Paul M. Thompson |
| 2014 | KDD | The interplay between dynamics and networks: centrality, communities, and cheeger inequality. | Rumi Ghosh, Shang-Hua Teng, Kristina Lerman, Xiaoran Yan |
| 2013 | KDD | Scalable text and link analysis with mixed-topic link models. | Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore |
| 2011 | KDD | Active learning for node classification in assortative and disassortative networks. | Cristopher Moore, Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, Terran Lane |