bcSeq: an R package for fast sequence mapping in high-throughput shRNA and CRISPR screens. - Jiaxing Lin; Jeremy Gresham; Tongrong Wang; So Young Kim; James Alvarez; Jeffrey S. Damrauer; Scott Floyd; Joshua A. Granek; Andrew S. Allen; Cliburn Chan; Jichun Xie; Kouros Owzar (Bioinform., 2018)

Efficient estimation of grouped survival models. - Zhiguo Li; Jiaxing Lin; Alexander B. Sibley; Tracy Truong; Katherina C. Chua; Yu Jiang; Janice M. McCarthy; Deanna L. Kroetz; Andrew S. Allen; Kouros Owzar (BMC Bioinform., 2019)

fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies. - Jiaxing Lin; Alexander B. Sibley; Ivo D. Shterev; Andrew Nixon; Federico Innocenti; Cliburn Chan; Kouros Owzar (BMC Bioinform., 2019)

SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. - Shuzheng Si; Shuang Zeng; Jiaxing Lin; Baobao Chang (COLING, 2022)

SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. - Shuzheng Si; Zefan Cai; Shuang Zeng; Guoqiang Feng; Jiaxing Lin; Baobao Chang (ACL (Findings), 2023)

TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables. - Jiaxing Lin; Runxin Xu; Baobao Chang (ICASSP, 2023)

Prototypical contrastive learning based oriented detector for kitchen waste. - Lihan Ouyang; Leyuan Fang; Qi Tang; Shuaiyu Ding; Junwu Yu; Jiaxing Lin; Lin Tang (Neurocomputing, 2024)

When Vectorization Meets Change Detection. - Yinglong Yan; Jun Yue; Jiaxing Lin; Zhengyang Guo; Yi Fang; Zhenhao Li; Weiying Xie; Leyuan Fang (IEEE Trans. Geosci. Remote. Sens., 2024)

HSLabeling: Toward Efficient Labeling for Large-Scale Remote Sensing Image Segmentation With Hybrid Sparse Labeling. - Jiaxing Lin; Zhen Yang 026; Qiang Liu; Yinglong Yan; Pedram Ghamisi; Weiying Xie; Leyuan Fang (IEEE Trans. Image Process., 2025)