Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions. - Wei Peng 004; Hancheng Liu; Wei Dai 012; Ning Yu 004; Jianxin Wang 001 (Bioinform., 2022)

Improving drug response prediction based on two-space graph convolution. - Wei Peng 004; Tielin Chen; Hancheng Liu; Wei Dai 012; Ning Yu 004; Wei Lan (Comput. Biol. Medicine, 2023)

GORetriever: reranking protein-description-based GO candidates by literature-driven deep information retrieval for protein function annotation. - Huiying Yan; Shaojun Wang; Hancheng Liu; Hiroshi Mamitsuka; Shanfeng Zhu (Bioinform., 2024)

DualGOFiller: A Dual-Channel Graph Neural Network with Contrastive Learning for Enhancing Function Prediction in Partially Annotated Proteins. - Shaojun Wang; Hancheng Liu; Weiqi Zhai; Shanfeng Zhu (RECOMB, 2025)

PipeBoost: Resilient Pipelined Architecture for Fast Serverless LLM Scaling. - Chongpeng Liu; Xiaojian Liao; Hancheng Liu; Limin Xiao; Jianxin Li (CoRR, 2025)