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Hongming Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
- [j44]Zihao Lei
, Hongming Chen, Guangrui Wen
, Ke Feng
, Zheng Liu, Ruqiang Yan, Xuefeng Chen:
A Synchronous Holo-Balancing Method for Flexible Rotors Based on the Modified Initial Phase Vector. Inf. Fusion 90: 95-110 (2023) - [j43]Guangrui Hu, Anhui Tan, Liangtian He, Haozhen Shen, Hongming Chen, Chao Wang
, Huandi Du:
Pyramid feature boosted network for single image dehazing. Int. J. Mach. Learn. Cybern. 14(6): 2099-2110 (2023) - 2022
- [j42]Penglei Wang
, Shuangjia Zheng
, Yize Jiang, Chengtao Li, Junhong Liu, Chang Wen, Atanas Patronov, Dahong Qian, Hongming Chen
, Yuedong Yang
:
Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction. J. Chem. Inf. Model. 62(5): 1308-1317 (2022) - [j41]Jie Zhang
, Hongming Chen
:
De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand-Protein Interactions. J. Chem. Inf. Model. 62(14): 3291-3306 (2022) - [j40]Youhai Tan
, Lingxue Dai, Weifeng Huang, Yinfeng Guo, Shuangjia Zheng
, Jinping Lei
, Hongming Chen, Yuedong Yang
:
DRlinker: Deep Reinforcement Learning for Optimization in Fragment Linking Design. J. Chem. Inf. Model. 62(23): 5907-5917 (2022) - [j39]Hao Jiang
, Hongming Chen
:
A Full-Duplex MIMO System Based on CP-Free OFDM in Sensor Network. J. Sensors 2022: 1-5 (2022) - [j38]Shuangjia Zheng, Youhai Tan, Zhenyu Wang, Chengtao Li, Zhiqing Zhang, Xu Sang, Hongming Chen, Yuedong Yang
:
Accelerated rational PROTAC design via deep learning and molecular simulations. Nat. Mac. Intell. 4(9): 739-748 (2022) - [j37]Hao Jiang, Daiming Qu, Jie Ding, Zhibing Wang, Hui He, Hongming Chen:
Enabling LPWAN Massive Access: Grant-Free Random Access with Massive MIMO. IEEE Wirel. Commun. 29(4): 72-77 (2022) - [c14]Longgang Dai, Hongming Chen, Yufeng Li, Caihua Kong, Zhentao Fan, Jiyang Lu, Xiang Chen:
TARDet: Two-stage Anchor-free Rotating Object Detector in Aerial Images. CVPR Workshops 2022: 4266-4274 - [c13]Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen:
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. ECCV Workshops (5) 2022: 60-77 - 2021
- [j36]Shuangjia Zheng, Zengrong Lei, Haitao Ai, Hongming Chen, Daiguo Deng, Yuedong Yang
:
Deep scaffold hopping with multimodal transformer neural networks. J. Cheminformatics 13(1): 87 (2021) - [j35]Jie Zhang
, Rocío Mercado, Ola Engkvist
, Hongming Chen:
Comparative Study of Deep Generative Models on Chemical Space Coverage. J. Chem. Inf. Model. 61(6): 2572-2581 (2021) - [j34]Mingyuan Xu
, Ting Ran
, Hongming Chen:
De Novo Molecule Design Through the Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites. J. Chem. Inf. Model. 61(7): 3240-3254 (2021) - [j33]Lizhao Hu, Yuyao Yang
, Shuangjia Zheng
, Jun Xu, Ting Ran
, Hongming Chen
:
Kinase Inhibitor Scaffold Hopping with Deep Learning Approaches. J. Chem. Inf. Model. 61(10): 4900-4912 (2021) - [j32]Rocío Mercado
, Tobias Rastemo, Edvard Lindelöf, Günter Klambauer, Ola Engkvist, Hongming Chen, Esben Jannik Bjerrum
:
Graph networks for molecular design. Mach. Learn. Sci. Technol. 2(2): 25023 (2021) - [j31]Hongming Chen, Quan Liu
, Shan Zhong:
Self-guided deep deterministic policy gradient with multi-actor. Neural Comput. Appl. 33(15): 9723-9732 (2021) - 2020
- [j30]Michael Withnall
, Edvard Lindelöf, Ola Engkvist
, Hongming Chen:
Building attention and edge message passing neural networks for bioactivity and physical-chemical property prediction. J. Cheminformatics 12(1): 1 (2020) - [j29]Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin
, Hugo Ceulemans, Jörg K. Wegner
, José Felipe Golib Dzib, Nina Jeliazkova
, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic
, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist
, Günter Klambauer, Hongming Chen:
Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics 12(1): 26 (2020) - [j28]Josep Arús-Pous
, Atanas Patronov, Esben Jannik Bjerrum, Christian Tyrchan
, Jean-Louis Reymond, Hongming Chen, Ola Engkvist
:
SMILES-based deep generative scaffold decorator for de-novo drug design. J. Cheminformatics 12(1): 38 (2020) - [j27]Thomas Blaschke, Josep Arús-Pous, Hongming Chen, Christian Margreitter
, Christian Tyrchan
, Ola Engkvist
, Kostas Papadopoulos
, Atanas Patronov
:
REINVENT 2.0: An AI Tool for De Novo Drug Design. J. Chem. Inf. Model. 60(12): 5918-5922 (2020) - [j26]Panagiotis-Christos Kotsias
, Josep Arús-Pous, Hongming Chen, Ola Engkvist
, Christian Tyrchan, Esben Jannik Bjerrum
:
Direct steering of de novo molecular generation with descriptor conditional recurrent neural networks. Nat. Mach. Intell. 2(5): 254-265 (2020)
2010 – 2019
- 2019
- [j25]Qing Song, Yingqi Wu
, Xueshi Xin, Lu Yang, Min Yang, Hongming Chen, Chun Liu, Mengjie Hu, Xuesong Chai, Jianchao Li:
Real-Time Tunnel Crack Analysis System via Deep Learning. IEEE Access 7: 64186-64197 (2019) - [j24]Josep Arús-Pous
, Thomas Blaschke, Silas Ulander, Jean-Louis Reymond
, Hongming Chen, Ola Engkvist
:
Exploring the GDB-13 chemical space using deep generative models. J. Cheminformatics 11(1): 20:1-20:14 (2019) - [j23]Oliver Laufkötter
, Noé Sturm, Jürgen Bajorath, Hongming Chen, Ola Engkvist
:
Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capability. J. Cheminformatics 11(1): 54:1-54:14 (2019) - [j22]Josep Arús-Pous
, Simon Johansson
, Oleksii Prykhodko, Esben Jannik Bjerrum, Christian Tyrchan
, Jean-Louis Reymond
, Hongming Chen, Ola Engkvist
:
Randomized SMILES strings improve the quality of molecular generative models. J. Cheminformatics 11(1): 71:1-71:13 (2019) - [j21]Oleksii Prykhodko, Simon Johansson
, Panagiotis-Christos Kotsias, Josep Arús-Pous
, Esben Jannik Bjerrum, Ola Engkvist
, Hongming Chen:
A de novo molecular generation method using latent vector based generative adversarial network. J. Cheminformatics 11(1): 74 (2019) - [j20]Noé Sturm
, Jiangming Sun
, Yves Vandriessche, Andreas Mayr, Günter Klambauer
, Lars Carlsson, Ola Engkvist
, Hongming Chen:
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models. J. Chem. Inf. Model. 59(3): 962-972 (2019) - [c12]Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen:
ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics. BNAIC/BENELEARN 2019 - [c11]Josep Arús-Pous
, Simon Johansson
, Oleksii Prykhodko
, Esben Jannik Bjerrum
, Christian Tyrchan
, Jean-Louis Reymond
, Hongming Chen
, Ola Engkvist
:
Improving Deep Generative Models with Randomized SMILES. ICANN (Workshop) 2019: 747-751 - [c10]Michael Withnall
, Edvard Lindelöf, Ola Engkvist
, Hongming Chen:
Attention and Edge Memory Convolution for Bioactivity Prediction. ICANN (Workshop) 2019: 752-757 - [c9]Philip T. G. Jackson, Yinhai Wang, Sinead Knight, Hongming Chen, Thierry Dorval, Martin Brown, Claus Bendtsen
, Boguslaw Obara:
Phenotypic Profiling of High Throughput Imaging Screens with Generic Deep Convolutional Features. MVA 2019: 1-4 - [i3]Philip T. G. Jackson
, Yinhai Wang, Sinead Knight, Hongming Chen, Thierry Dorval, Martin Brown, Claus Bendtsen, Boguslaw Obara:
Phenotypic Profiling of High Throughput Imaging Screens with Generic Deep Convolutional Features. CoRR abs/1903.06516 (2019) - 2017
- [j19]Jiangming Sun, Nina Jeliazkova
, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist
, Lars Carlsson, Jörg K. Wegner
, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov
, Nikolay T. Kochev
, Thomas J. Ashby, Hongming Chen:
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics 9(1): 17:1-17:9 (2017) - [j18]Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist
, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen:
Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics 9(1): 41:1 (2017) - [j17]Marcus Olivecrona
, Thomas Blaschke, Ola Engkvist
, Hongming Chen:
Molecular de-novo design through deep reinforcement learning. J. Cheminformatics 9(1): 48:1-48:14 (2017) - [j16]Jiangming Sun
, Lars Carlsson, Ernst Ahlberg, Ulf Norinder, Ola Engkvist, Hongming Chen:
Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets. J. Chem. Inf. Model. 57(7): 1591-1598 (2017) - [i2]Marcus Olivecrona, Thomas Blaschke, Ola Engkvist
, Hongming Chen:
Molecular De Novo Design through Deep Reinforcement Learning. CoRR abs/1704.07555 (2017) - [i1]Thomas Blaschke, Marcus Olivecrona, Ola Engkvist
, Jürgen Bajorath, Hongming Chen:
Application of generative autoencoder in de novo molecular design. CoRR abs/1711.07839 (2017) - 2016
- [j15]Long Zhao
, Chenxi Deng, Guan Wang, Hongming Chen, Yuhua Cheng:
A 1.1V 12μW 86dB DR Sigma-Delta Modulator for Health Monitoring System. J. Circuits Syst. Comput. 25(6): 1650059:1-1650059:17 (2016) - [c8]Hongming Chen, Yan Chen:
The Performance Appraisal of Port Logistics Informationization. IDCS 2016: 413-420 - 2015
- [c7]Long Zhao, Chenxi Deng, Hongming Chen, Guan Wang, Yuhua Cheng:
A 1-V 23-μW 88-dB DR Sigma-Delta ADC for high-accuracy and low-power applications. ASICON 2015: 1-4 - 2014
- [j14]Hongming Chen, Yuhua Cheng:
A leakage current suppression technique for cascade SRAM array in 55 nm CMOS technology. Sci. China Inf. Sci. 57(8): 1-8 (2014) - [j13]Hongming Chen, Song Ma, Liu Wang, Hao Zhang, Kenyi Pan, Yuhua Cheng:
A low-power, area-efficient all-digital delay-locked loop for DDR3 SDRAM controller. Sci. China Inf. Sci. 57(12): 1-8 (2014) - [j12]Mats Eriksson, Hongming Chen, Lars Carlsson, J. Willem M. Nissink
, John G. Cumming, Ingemar Nilsson:
Beyond the Scope of Free-Wilson Analysis. 2 Can Distance Encoded R-Group Fingerprints Provide Interpretable Nonlinear Models? J. Chem. Inf. Model. 54(4): 1117-1128 (2014) - 2013
- [j11]Hongming Chen, Lars Carlsson, Mats Eriksson, Péter L. Várkonyi, Ulf Norinder
, Ingemar Nilsson:
Beyond the Scope of Free-Wilson Analysis: Building Interpretable QSAR Models with Machine Learning Algorithms. J. Chem. Inf. Model. 53(6): 1324-1336 (2013) - [c6]Yiwu Yao, Kailiang Zhang, Hongming Chen, Yuhua Cheng:
The decimator with multiplier-free realizations for high precision ADC applications. ASICON 2013: 1-4 - 2012
- [j10]Hongming Chen, Yanan Shi:
Empirical Study on the Correlation between the Internal Control and Enterprise Value - Based on the Information System. J. Comput. 7(7): 1688-1695 (2012) - [j9]Hongming Chen, Xiaocan Xiao:
The Application of SPSS Factor Analysis in the Evaluation of Corporate Social Responsibility. J. Softw. 7(6): 1258-1264 (2012) - [c5]Hongming Chen, Yuhua Cheng:
VLSI implementation of color interpolation in color difference spaces. ISCAS 2012: 1680-1683 - [c4]Yiwu Yao, Hongming Chen, Yuhua Cheng:
A low power IC for efficient de-interlacing based on refined motion adaptive method. ISIE 2012: 1094-1099 - 2011
- [j8]Hongming Chen, Wenchuan Sun:
Study on Rational Application of eXtensible Business Reporting Language. J. Softw. 6(2): 257-264 (2011) - [c3]Hongming Chen, Xiaoyuan Chen, Tie Liu, Yuhua Cheng:
ASIC implementation of an OFDM baseband transceiver for HINOC. ASICON 2011: 167-170 - [c2]Hongming Chen, Xiaoyuan Chen, Yuhua Cheng:
A dual 12bit 80MSPS 3.3V Current-Steering DAC for HINOC. ASICON 2011: 488-491 - 2010
- [j7]Hongming Chen, Yidong Yang, Ola Engkvist
:
Molecular Topology Analysis of the Differences between Drugs, Clinical Candidate Compounds, and Bioactive Molecules. J. Chem. Inf. Model. 50(12): 2141-2150 (2010)
2000 – 2009
- 2009
- [j6]Hongming Chen, Ulf Borjesson, Ola Engkvist
, Thierry Kogej, Mats Svensson, Niklas Blomberg
, Dirk Weigelt, Jeremy N. Burrows, Tim Lange:
ProSAR: A New Methodology for Combinatorial Library Design. J. Chem. Inf. Model. 49(3): 603-614 (2009) - 2008
- [j5]Timothy Lovell, Hongming Chen, Paul D. Lyne, Fabrizio Giordanetto, Jin Li:
On Evaluating Molecular-Docking Methods for Pose Prediction and Enrichment Factors. [J. Chem. Inf. Model. 46, 401-415 (2006)]. J. Chem. Inf. Model. 48(1): 246 (2008) - 2006
- [j4]Hongming Chen, Paul D. Lyne, Fabrizio Giordanetto, Timothy Lovell, Jin Li:
On Evaluating Molecular-Docking Methods for Pose Prediction and Enrichment Factors. J. Chem. Inf. Model. 46(1): 401-415 (2006) - 2005
- [c1]Hongming Chen, Zhijun Liao, Xiaoqing Zeng:
The planning research on financial informationization of electrical power business. ICEC 2005: 41-44 - 2004
- [j3]Colin R. Gardner, Orn Almarsson, Hongming Chen, Sherry Morissette, Matt Peterson, Zhong Zhang, Szu Wang, Anthony Lemmo, Javier Gonzalez-Zugasti, Julie Monagle, Joseph Marchionna, Steve Ellis, Chris McNulty, Alasdair Johnson, Doug Levinson, Michael Cima:
Application of high throughput technologies to drug substance and drug product development. Comput. Chem. Eng. 28(6-7): 943-953 (2004) - 2000
- [j2]Salvatore Guccione
, Arthur M. Doweyko, Hongming Chen, Gloria Uccello Barretta, Federica Balzano
:
3D-QSAR using 'Multiconformer' alignment: The use of HASL in the analysis of 5-HT1A thienopyrimidinone ligands. J. Comput. Aided Mol. Des. 14(7): 647-657 (2000)
1990 – 1999
- 1998
- [j1]Hongming Chen, Jiaju Zhou, Guirong Xie:
PARM: A Genetic Evolved Algorithm To Predict Bioactivity. J. Chem. Inf. Comput. Sci. 38(2): 243-250 (1998)
Coauthor Index

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last updated on 2023-06-05 02:00 CEST by the dblp team
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