I am a Postdoctoral Research Associate at the Cambridge Stem Cell Institute, University of Cambridge, supervised by Sarah A. Teichmann. Before that, I was a research assistant at the National University of Singapore (NUS), and received PhD in Computer Science from the Australian National University (ANU) under the supervision of Yu Lin, Vaibhav Rajan, and Lexing Xie. I also spent time at Fudan, NUS, BioMap, and Alibaba Group during my PhD studies.

My research interests span Machine Learning and Bioinformatics, focusing on representation learning on graphs, combinatorial optimization, and their practical applications in computational genomics, single-molecule proteomics, and healthcare.

1. Computational Genomics: Metagenomic Contigs Binning [ICLR'24,BIB'24,AAAI'22], and Haplotype Phasing [NeurIPS'22];
2. Healthcare: Drug Reponse Prediction [KDD'24], Function Prediction [BIB'21], and Disease Diagnosis [Frontiers'21];
3. Representation learning and Applications: GNNs [WWW'21,ECML/PKDD'20,CIKM'19,AAAI'19], and Recommendation [WSDM'25,CIKM'24].

Selected Publications [Google Scholar, DBLP]

• Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
  Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, and Vaibhav Rajan
  Twelfth International Conference on Learning Representations (ICLR), 2024.
  
• Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information
  Aishwarya Jayagopal, Hansheng Xue, Ziyang He et al., Anand D Jeyasekharan, and Vaibhav Rajan
  The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
  
• Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction
  Hansheng Xue, Vaibhav Rajan, and Yu Lin
  Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022.
  
• RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning
  Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, and Yu Lin
  The 36th AAAI Conference on Artificial Intelligence (AAAI), 2022.
  
• Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
  Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, and Yu Lin
  The 30th International World Wide Web Conference (WWW), 2021.
  
• Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
  Hansheng Xue, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, and Yu Lin
  European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2020.