Full list publications can be fount at [Google Scholar] and [DBLP].
Improving Accuracy and Efficiency of Graph Embedding Training with Fine-Grained Parameter Management Lihan Hu and Peng Jiang [IPDPS’25]: IEEE International Parallel and Distributed Processing Symposium, 2025
Matcha: A Language and Compiler for Backtracking-based Subgraph Matching Yihua Wei, Lihan Hu, and Peng Jiang [IPDPS’25]: IEEE International Parallel and Distributed Processing Symposium, 2025
cuKE: An Efficient Code Generator for Score Function Computation in Knowledge Graph Embedding Lihan Hu, Jing Li, and Peng Jiang [IPDPS’24]: IEEE International Parallel and Distributed Processing Symposium, 2024
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training Peng Jiang, Lihan Hu, Shihui Song [NeurIPS’22]: Thirty-sixth Conference on Neural Information Processing Systems, 2023
A disk failure prediction method based on LSTM network due to its individual specificity Lihan Hu, Lixin Han, Zhenyuan Xu, Tianming Jiang, Huijun Qi [KES’20]: International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 2020
CShaperApp: segmenting and analyzing cellular morphologies of the developing Caenorhabditis elegans embryo Jianfeng Cao, Lihan Hu, Guoye Guan, Zelin Li, Zhongying Zhao, Chao Tang, Hong Yan [Quantitative Biology]: 2024