Jian Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Convolutional Neural Networks

Machine Learning

Top Venues

J. Chem. Inf. Model.

ACM Great Lakes Symposium on VLSI

Publications

Debarshi Kundu, Archisman Ghosh, Srinivasan Ekambaram, Jian Wang, Nikolay V. Dokholyan, Swaroop Ghosh
Application of Quantum Tensor Networks for Protein Classification. CoRR (2024)
Debarshi Kundu, Archisman Ghosh, Srinivasan Ekambaram, Jian Wang, Nikolay V. Dokholyan, Swaroop Ghosh
Application of Quantum Tensor Networks for Protein Classification. ACM Great Lakes Symposium on VLSI (2024)
Congzhou M. Sha, Jian Wang, Nikolay V. Dokholyan
Differentiable Rotamer Sampling with Molecular Force Fields. CoRR (2023)
Huaipan Jiang, Jian Wang, Weilin Cong, Yihe Huang, Morteza Ramezani, Anup Sarma, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir
Predicting Protein-Ligand Docking Structure with Graph Neural Network. J. Chem. Inf. Model. 62 (12) (2022)
Jian Wang, Nikolay V. Dokholyan
Yuel: Improving the Generalizability of Structure-Free Compound-Protein Interaction Prediction. J. Chem. Inf. Model. 62 (3) (2022)
Junde Li, Mahabubul Alam, Congzhou M. Sha, Jian Wang, Nikolay V. Dokholyan, Swaroop Ghosh
Drug Discovery Approaches using Quantum Machine Learning. CoRR (2021)
Junde Li, Mahabubul Alam, Congzhou M. Sha, Jian Wang, Nikolay V. Dokholyan, Swaroop Ghosh
Invited: Drug Discovery Approaches using Quantum Machine Learning. DAC (2021)
Huaipan Jiang, Mengran Fan, Jian Wang, Anup Sarma, Shruti Mohanty, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir
Guiding Conventional Protein-Ligand Docking Software with Convolutional Neural Networks. J. Chem. Inf. Model. 60 (10) (2020)
Jian Wang, Nikolay V. Dokholyan
MedusaDock 2.0: Efficient and Accurate Protein-Ligand Docking With Constraints. J. Chem. Inf. Model. 59 (6) (2019)