Detecting complex indels with wide length-spectrum from the third generation sequencing data. - Xuanping Zhang; Hengwei Chen; Rong Zhang; Jingwen Pei; Yixuan Wang; Zhongmeng Zhao; Yi Huang; Jiayin Wang (BIBM, 2017)

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance. - Chunlai Feng; Hengwei Chen; Xianqin Yuan; Mengqiu Sun; Kexin Chu; Hanqing Liu; Mengjie Rui (J. Chem. Inf. Model., 2019)

Wind awareness for energy consumption in drone simulations (demo paper). - Noah Kelleher; Ricardo Ramirez; Adnan Salihovic; Nathan McKay; Jonathan Kelly; Hengwei Chen; Goce Trajcevski (SIGSPATIAL/GIS, 2022)

Prediction model for synergistic anti-tumor multi-compound combinations from traditional Chinese medicine based on extreme gradient boosting, targets and gene expression data. - Mengqiu Sun; Shengnan She; Hengwei Chen; Jiaxi Cheng; Wei Ji; Dan Wang; Chunlai Feng (J. Bioinform. Comput. Biol., 2022)

RFAP: A Revocable Fine-Grained Access Control Mechanism for Autonomous Vehicle Platoon. - Yanan Zhao 002; Yunpeng Wang; Xiaochun Cheng; Hengwei Chen; Haiyang Yu 002; Yilong Ren (IEEE Trans. Intell. Transp. Syst., 2022)

DeepAC - Conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds. - Hengwei Chen; Martin Vogt 001; Jürgen Bajorath (Zenodo, 2022)

DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds. - Kohei Umedera; Atsushi Yoshimori; Hengwei Chen; Hiroyuki Kouji; Hiroyuki Nakamura; Jürgen Bajorath (J. Comput. Aided Mol. Des., 2023)

Designing highly potent compounds using a chemical language model. - Hengwei Chen; Jürgen Bajorath (Zenodo, 2023)

Combining a Chemical Language Model and the Structure-Activity Relationship Matrix Formalism for Generative Design of Potent Compounds with Core Structure and Substituent Modifications. - Hengwei Chen; Jürgen Bajorath (J. Chem. Inf. Model., 2024)

Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model. - Hengwei Chen; Jürgen Bajorath (J. Cheminformatics, 2024)