| 2025 | WSDM | Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior Sequences. | Xuanzhou Liu, Zhibo Xiao, Luwei Yang, Hansheng Xue, Jianxing Ma, Yujiu Yang |
| 2024 | CIKM | Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation. | Jianxing Ma, Zhibo Xiao, Luwei Yang, Hansheng Xue, Xuanzhou Liu, Wen Jiang, Wei Ning, Guannan Zhang |
| 2024 | ICLR | Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning. | Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, Vaibhav Rajan |
| 2024 | KDD | Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information. | Aishwarya Jayagopal, Hansheng Xue, Ziyang He, Robert J. Walsh, Krishna Kumar Hariprasannan, David Shao Peng Tan, Tuan Zea Tan, Jason J. Pitt, Anand D. Jeyasekharan, Vaibhav Rajan |
| 2022 | AAAI | RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning. | Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin |
| 2021 | WWW | Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. | Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin |
| 2019 | AAAI | Towards Gene Function Prediction via Multi-Networks Representation Learning. | Hansheng Xue, Jiajie Peng, Xuequn Shang |
| 2019 | CIKM | Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding. | Hansheng Xue, Jiajie Peng, Jiying Li, Xuequn Shang |