Heng Ma

According to our database, Heng Ma authored at least 51 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

CT differentiation of the oncocytoma and renal cell carcinoma based on peripheral tumor parenchyma and central hypodense area characterisation.

Jianyi Qu, Qianqian Zhang, Xinhong Song, Hong Jiang, Heng Ma, Wenhua Li, Xiaofei Wang

BMC Medical Imaging, December, 2023

Shotgun Threshold for Sparse Erdős-Rényi Graphs.

Jian Ding, Yiyang Jiang, Heng Ma

IEEE Trans. Inf. Theory, November, 2023

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics.

Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan

Int. J. High Perform. Comput. Appl., November, 2023

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.

Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro

Int. J. High Perform. Comput. Appl., 2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

CoRR, 2023

Initialization of SINS/GNSS Error Covariance Matrix Based on Error States Correlation.

Jun Tang, Hongwei Bian, Heng Ma, Rongying Wang

IEEE Access, 2023

2022

Quantitative Study of the T-AVIM-Based Simulated IMU Error in Polar Regions.

Zhe Wen, Hongwei Bian, Rongying Wang, Heng Ma

Sensors, 2022

One-Step Initial Alignment Algorithm for SINS in the ECI Frame Based on the Inertial Attitude Measurement of the CNS.

Jun Tang, Hongwei Bian, Heng Ma, Rongying Wang

Sensors, 2022

Ship Trajectory Generator under the Interference of Wind, Current and Waves.

Xian Ding, Hongwei Bian, Heng Ma, Rongying Wang

Sensors, 2022

High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.

Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens

J. Chem. Inf. Model., 2022

Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action.

Anda Trifan, Defne Gorgun, Michael Salim, Zongyi Li, Alexander Brace, Maxim Zvyagin, Heng Ma, Austin Clyde, David Clark, David J. Hardy, Tom Burnley, Lei Huang, John D. McCalpin, Murali Emani, Hyenseung Yoo, Junqi Yin, Aristeidis Tsaris, Vishal Subbiah, Tanveer Raza, Jessica Liu, Noah Trebesch, Geoffrey Wells, Venkatesh Mysore, Tom Gibbs, James C. Phillips, S. Chakra Chennubhotla, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, John E. Stone, Emad Tajkhorshid, Sarah A. Harris, Arvind Ramanathan

Int. J. High Perform. Comput. Appl., 2022

Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations.

Alexander Brace, Igor Yakushin, Heng Ma, Anda Trifan, Todd S. Munson, Ian T. Foster, Arvind Ramanathan, Hyungro Lee, Matteo Turilli, Shantenu Jha

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Dynamic Profiling of β-Coronavirus 3CL Mpro Protease Ligand-Binding Sites.

Eunice Cho, Margarida Rosa, Ruhi Anjum, Saman Mehmood, Mariya Soban, Moniza Mujtaba, Khair Bux, Syed Tarique Moin, Mohammad Tanweer, Sarath Dantu, Alessandro Pandini, Junqi Yin, Heng Ma, Arvind Ramanathan, Barira Islam, Antonia S. J. S. Mey, Debsindhu Bhowmik, Shozeb M. Haider

J. Chem. Inf. Model., 2021

AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics.

Lorenzo Casalino, Abigail C. Dommer, Zied Gaieb, Emília P. Barros, Terra Sztain, Surl-Hee Ahn, Anda Trifan, Alexander Brace, Anthony T. Bogetti, Austin Clyde, Heng Ma, Hyungro Lee, Matteo Turilli, Syma Khalid, Lillian T. Chong, Carlos Simmerling, David J. Hardy, Julio D. C. Maia, James C. Phillips, Thorsten Kurth, Abraham C. Stern, Lei Huang, John D. McCalpin, Mahidhar Tatineni, Tom Gibbs, John E. Stone, Shantenu Jha, Arvind Ramanathan, Rommie E. Amaro

Int. J. High Perform. Comput. Appl., 2021

Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles.

Alexander Brace, Hyungro Lee, Heng Ma, Anda Trifan, Matteo Turilli, Igor Yakushin, Todd S. Munson, Ian T. Foster, Shantenu Jha, Arvind Ramanathan

CoRR, 2021

Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers.

Agastya P. Bhati, Shunzhou Wan, Dario Alfè, Austin R. Clyde, Mathis Bode, Li Tan, Mikhail Titov, André Merzky, Matteo Turilli, Shantenu Jha, Roger R. Highfield, Walter Rocchia, Nicola Scafuri, Sauro Succi, Dieter Kranzlmüller, Gerald Mathias, David Wifling, Yann Donon, Alberto Di Meglio, Sofia Vallecorsa, Heng Ma, Anda Trifan, Arvind Ramanathan, Tom Brettin, Alexander Partin, Fangfang Xia, Xiaotan Duan, Rick Stevens, Peter V. Coveney

CoRR, 2021

Scalable HPC & AI infrastructure for COVID-19 therapeutics.

Hyungro Lee, André Merzky, Li Tan, Mikhail Titov, Matteo Turilli, Dario Alfè, Agastya Bhati, Alex Brace, Austin Clyde, Peter V. Coveney, Heng Ma, Arvind Ramanathan, Rick Stevens, Anda Trifan, Hubertus Van Dam, Shunzhou Wan, Sean R. Wilkinson, Shantenu Jha

Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021

Stream-AI-MD: streaming AI-driven adaptive molecular simulations for heterogeneous computing platforms.

Alexander Brace, Michael Salim, Vishal Subbiah, Heng Ma, Murali Emani, Anda Trifan, Austin R. Clyde, Corey Adams, Thomas D. Uram, Hyun Seung Yoo, Andew Hock, Jessica Liu, Venkatram Vishwanath, Arvind Ramanathan

Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021

An Efficient Parallelized Huffman Decoding PE.

Yan Wu, Ruizhen Wu, Heng Ma, Lin Wang, Jianlong Su

Proceedings of the ITCC 2021: 3rd International Conference on Information Technology and Computer Communications, Guangzhou, China, June 23, 2021

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads.

Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020

Multiclass Membership Determination Integrating an ID-Bound Method with Bloom Filter.

Lu-I Chen, Heng Ma

Inf. Technol. Control., 2020

A Multibit Representation of Bloom Filter for Simultaneous Acquisition of Membership and Attribute Information.

Ying-Chih Tseng, Heng Ma

Int. J. Netw. Secur., 2020

Artificial intelligence techniques for integrative structural biology of intrinsically disordered proteins.

Arvind Ramanathan, Heng Ma, Akash Parvatikar, S. Chakra Chennubhotla

CoRR, 2020

Scalable HPC and AI Infrastructure for COVID-19 Therapeutics.

Hyungro Lee, André Merzky, Li Tan, Mikhail Titov, Matteo Turilli, Dario Alfè, Agastya Bhati, Alex Brace, Austin Clyde, Peter V. Coveney, Heng Ma, Arvind Ramanathan, Rick Stevens, Anda Trifan, Hubertus Van Dam, Shunzhou Wan, Sean R. Wilkinson, Shantenu Jha

CoRR, 2020

Adnexal torsion in the third trimester of pregnancy: a case report and diagnostic value of MR imaging.

Wei Bai, Xiao Xu, Haizhu Xie, Chunjuan Sun, Kaili Che, Meijie Liu, Jing Liu, Yinghong Shi, Heng Ma

BMC Medical Imaging, 2020

2019

DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding.

Hyungro Lee, Matteo Turilli, Shantenu Jha, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan

Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

Deep Generative Model Driven Protein Folding Simulations.

Heng Ma, Debsindhu Bhowmik, Hyungro Lee, Matteo Turilli, Michael T. Young, Shantenu Jha, Arvind Ramanathan

Proceedings of the Parallel Computing: Technology Trends, 2019

Automatic generation of tower defense levels using PCG.

Simon Cheng Liu, Chaoran Li, Yue Li, Heng Ma, Xiao Hou, Yiming Shen, Licong Wang, Ze Chen, Xianghao Guo, Hengtong Lu, Yu Du, Qinting Tang

Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019

Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations.

Junghoon Chae, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan, Chad A. Steed

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A curvature corrected bandgap reference with mismatch cancelling and noise reduction.

Dehong Lv, Heng Ma, Fuqiang Liu, Zhiliang Hong

Proceedings of the 13th IEEE International Conference on ASIC, 2019

Dual-Loop-Controlled AC-Coupling 100MHz Bandwidth Envelope Tracking Modulator for 5G RF Power Amplifier.

Fuqiang Liu, Mingfeng Chen, Heng Ma, Zhiliang Hong

Proceedings of the 13th IEEE International Conference on ASIC, 2019

High-Bandwidth Wide-Output-Swing Linear Amplifier for LTE-100MHz Envelope Tracking.

Mingfeng Chen, Fuqiang Liu, Heng Ma, Zhiliang Hong

Proceedings of the 13th IEEE International Conference on ASIC, 2019

2018

Density-based Clustering using Automatic Density Peak Detection.

Huanqian Yan, Yonggang Lu, Heng Ma

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2017

Analysis of Temperature and Gas Flow Distribution Inside Safety Helmet Based on Numerical Simulation.

Heng Ma, Rui Li, Ke Qian, Yibo Gao, Ling Chen

Proceedings of the Advanced Computational Methods in Life System Modeling and Simulation, 2017

2016

A CMAC-based scheme for determining membership with classification of text strings.

Heng Ma, Ying-Chih Tseng, Lu-I Chen

Neural Comput. Appl., 2016

Determining the Near Optimal Architecture of Autoencoder using Correlation Analysis of the Network Weights.

Heng Ma, Yonggang Lu, Haitao Zhang

Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Trajectory similarity metric based on vector fields on manifold and multi-scale space partition.

Heng Ma, Meng Wang

Proceedings of the 12th International Conference on Natural Computation, 2016

2015

The economic design of variable acceptance sampling plan with rectifying inspection.

Ching-Ho Yen, Heng Ma, Chi-Huang Yeh, Chia-Hao Chang

Kybernetes, 2015

A framework for stochastic simulations and visualization of biological electron-transfer dynamics.

C. Masato Nakano, Hye Suk Byun, Heng Ma, Tao Wei, Mohamed Y. El-Naggar

Comput. Phys. Commun., 2015

2014

Spectral Clustering with Neighborhood Attribute Reduction Based on Information Entropy.

Hongjie Jia, Shifei Ding, Heng Ma, Wanqiu Xing

J. Comput., 2014

2013

A Two-Layer Scheme for Membership and Classification Querying.

Heng Ma, Hung-Yu Cheng

Kybernetes, 2013

Membership classification using Integer Bloom Filter.

Hung-Yu Cheng, Heng Ma

Proceedings of the 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, 2013

2012

A Neural-Based Scheme for Simultaneously Determining Membership and Class of String Identifiers.

Heng Ma, Ying-Chih Tseng

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2012

2010

Real-time monitoring of water quality using temporal trajectory of live fish.

Heng Ma, Tsueng-Fang Tsai, Chia-Cheng Liu

Expert Syst. Appl., 2010

2008

Fast blocking of undesirable web pages on client PC by discriminating URL using neural networks.

Heng Ma

Expert Syst. Appl., 2008

A heuristic for nesting problems of irregular shapes.

Wen-Chen Lee, Heng Ma, Bor-Wen Cheng

Comput. Aided Des., 2008

2007

Fast Nesting of 2-D Sheet Parts With Arbitrary Shapes Using a Greedy Method and Semi-Discrete Representations.

Heng Ma, Chia-Cheng Liu

IEEE Trans Autom. Sci. Eng., 2007

2006

A Greedy Approach for Multi-Symbol SMS Message Segmentation.

Liang-Chyau Sheu, Heng Ma

Proceedings of the 2006 Joint Conference on Information Sciences, 2006

String Filtering of a Large String Collection on Mobile Devices using a Neural Network.

Heng Ma, Chia-Cheng Liu

Proceedings of the 2006 Joint Conference on Information Sciences, 2006

1997

Human-Machine Collaboration in Robotics: Integrating Virtual Tools with a Collision Avoidance Concept using Conglomerates of Spheres.

Collin Wang, Heng Ma, David J. Cannon

J. Intell. Robotic Syst., 1997

1995

A Scheme Integrating Neural Networks for Real-Time Robotic Collision Detection.

Heng Ma, David J. Cannon, Soundar R. T. Kumara

Proceedings of the 1995 International Conference on Robotics and Automation, 1995