Zhangli Lu

11 papers Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
DeepDICI: Accurately Predicting Drug-Ion Channel Interactions via Deep Learning with Dynamic Structural Features.
BIBM
Rui Tang, Zhangli Lu, Zhicun Zeng, Ruiqing Zheng, Min Zeng, Min Li
2025 J jnl
TransScore: A Graph Model for Pose Scoring and Affinity Prediction Based on Transformer Convolution Network.
IEEE J. Biomed. Health Informatics
Chuqi Lei, Wenkang Wang, Wei Fan, Zhangli Lu, Jing Tang, Min Li
2025 J jnl
Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning-Enhanced Super-Resolution Tactile Sensor Array with Rapid Response.
Adv. Intell. Syst.
Shuyao Zhou, Depeng Kong, Mengke Wang, Baocheng Wang, Yuyao Lu, Honghao Lyu, Zhangli Lu, Yong Tao, Kaichen Xu, Geng Yang
2025 J jnl
Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning-Enhanced Super-Resolution Tactile Sensor Array with Rapid Response.
Adv. Intell. Syst.
Shuyao Zhou, Depeng Kong, Mengke Wang, Baocheng Wang, Yuyao Lu, Honghao Lyu, Zhangli Lu, Yong Tao, Kaichen Xu, Geng Yang
2024 J jnl
Drug repositioning with adaptive graph convolutional networks.
Bioinform.
Xinliang Sun, Xiao Jia, Zhangli Lu, Jing Tang, Min Li
2023 J jnl
DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.
CoRR
Zhangli Lu, Chuqi Lei, Kaili Wang, Libo Qin, Jing Tang, Min Li
2023 J jnl
StackCPA: A stacking model for compound-protein binding affinity prediction based on pocket multi-scale features.
Comput. Biol. Medicine
Chuqi Lei, Zhangli Lu, Meng Wang, Min Li
2022 J jnl
BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction.
Bioinform.
Min Li, Zhangli Lu, Yifan Wu, Yaohang Li
2020 J jnl
NEDD: a network embedding based method for predicting drug-disease associations.
BMC Bioinform.
Renyi Zhou, Zhangli Lu, Huimin Luo, Ju Xiang, Min Zeng, Min Li
2019 — conf
HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding.
BIBM
Zhangli Lu, Yake Wang, Min Zeng, Min Li
2019 — conf
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques.
BIBM
Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling