99 citations
- University of Hong KongHK10 papers
- Hong Kong University of Science and TechnologyHK8 papers
- Hunan UniversityCN2 papers
- Imperial College LondonGB2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Tianjin UniversityCN2 papers
- Tongji UniversityCN2 papers
- University of AucklandNZ2 papers
- Xi'an Jiaotong UniversityCN2 papers
- Aalto UniversityFI1 paper
- Beihang UniversityCN1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
14 papers
MemNovo: Look Back at the Spectrum for Balanced De Novo Peptide Sequencing from Mass Spectrometry
Dongxin Lyu, Jingbo Zhou, Hongxin Xiang +2
De novo peptide sequencing from tandem mass spectrometry is pivotal in proteomics, enabling identification of novel peptides without reference databases. While recent Transformer-b…
MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis
Congying Xu, Hengcheng Zhu, Songqiang Chen +3
Metamorphic testing (MT) is a widely recognized technique for alleviating the oracle problem in software testing. However, its adoption is hindered by the difficulty of constructin…
DeInfer: Efficient Parallel Inferencing for Decomposed Large Language Models
You-Liang Huang, Xinhao Huang, Chengxi Liao +1
Existing works on large language model (LLM) decomposition mainly focus on improving performance on downstream tasks, but they ignore the poor parallel inference performance when t…
FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search
Zekai Wu, Jiabao Jin, Peng Cheng +7
As the state-of-the-art methods for high-dimensional data retrieval, Approximate Nearest Neighbor Search (ANNS) approaches with graph-based indexes have attracted increasing attent…
Thermal conductivities of monolayer graphene oxide from machine learning molecular dynamics simulations
Bohan Zhang, Biyuan Liu, Penghua Ying +6
Graphene oxide (GO) exhibits rich chemical heterogeneity that strongly influences its structural, thermal, and mechanical properties, yet quantitatively linking reduction chemistry…
Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode
Songqiang Chen, Congying Xu, Jingyi Chen +3
Although large language models (LLMs) show promising potential in code translation, they still struggle to generate accurate translations using the commonly adopted direct code-to-…