Lei Ma

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82 artikel

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Yang LiuNanyang Technological UniversityEmail yang diverifikasi di ntu.edu.sg
Xiaofei XieSingapore Management UniversityEmail yang diverifikasi di smu.edu.sg
Jianjun ZhaoKyushu UniversityEmail yang diverifikasi di ait.kyushu-u.ac.jp
Felix Juefei-XuResearch Scientist, GenAI at MetaEmail yang diverifikasi di cmu.edu
Guo, Qing (郭青)Investigator, CFAR, A*STAR, and Adjunct Assistant Professor at NUSEmail yang diverifikasi di ieee.org
Li LI (黎立)Professor of Software Engineering, Beihang UniversityEmail yang diverifikasi di monash.edu
Cyrille ArthoKTH Royal Institute of Technology, SwedenEmail yang diverifikasi di kth.se
Tianyi ZhangAssistant Professor of Computer Science, Purdue UniversityEmail yang diverifikasi di purdue.edu
Yi LiNanyang Technological UniversityEmail yang diverifikasi di ntu.edu.sg
Bo LiUniversity of Illinois at Urbana–ChampaignEmail yang diverifikasi di illinois.edu
Yves Le TraonProfessor of Computer Science, University of LuxembourgEmail yang diverifikasi di uni.lu
Mark HarmanResearch Scientist at Meta & Professor of Software Engineering at UCLEmail yang diverifikasi di ucl.ac.uk
Simon SeenvidiaEmail yang diverifikasi di nvidia.com
Jacques KleinUniversity of Luxembourg / SnTEmail yang diverifikasi di uni.lu
Tegawendé F. BissyandéChief Scientist II / ERC Fellow / TruX @SnT, University of LuxembourgEmail yang diverifikasi di uni.lu
Rudolf RamlerSoftware Competence Center Hagenberg GmbH (SCCH)Email yang diverifikasi di scch.at
Miryung KimFull Professor and Vice Chair of Graduate Studies, UCLA Computer ScienceEmail yang diverifikasi di cs.ucla.edu
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongEmail yang diverifikasi di cse.cuhk.edu.hk
Takeo IgarashiThe University of TokyoEmail yang diverifikasi di acm.org
John C. GrundyAustralian Laureate Fellow and Professor of Software Engineering, Faculty of IT, Monash UniversityEmail yang diverifikasi di monash.edu

Ikuti

Lei Ma

Associate Professor, The University of Tokyo, Japan & University of Alberta, Canada

Email yang diverifikasi di acm.org - Beranda

Trustworthy AI MLOps SE4AI AI Safety XAI


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Machine learning testing: Survey, landscapes and horizons JM Zhang, M Harman, L Ma, Y Liu IEEE Transactions on Software Engineering 48 (1), 1-36, 2020	1006	2020
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems L Ma, F Juefei-Xu, F Zhang, J Sun, M Xue, B Li, C Chen, T Su, L Li, Y Liu, ... https://dl.acm.org/citation.cfm?id=3238202, 2018	808	2018
Deephunter: a coverage-guided fuzz testing framework for deep neural networks X Xie, L Ma, F Juefei-Xu, M Xue, H Chen, Y Liu, J Zhao, B Li, J Yin, S See Proceedings of the 28th ACM SIGSOFT international symposium on software …, 2019	561*	2019
DeepMutation: Mutation Testing of Deep Learning Systems L Ma, F Zhang, J Sun, M Xue, B Li, F Juefei-Xu, C Xie, L Li, Y Liu, J Zhao, ... 2018 IEEE 29th International Symposium on Software Reliability Engineering …, 2018	447	2018
Fakespotter: A simple baseline for spotting ai-synthesized fake faces R Wang, L Ma, F Juefei-Xu, X Xie, J Wang, Y Liu IJCAI 2020, 2020	315*	2020
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems L Ma, JX Felix, M Xue, B Li, L Li, Y Liu, J Zhao 2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019	283*	2019
Deeprhythm: Exposing deepfakes with attentional visual heartbeat rhythms H Qi, Q Guo, F Juefei-Xu, X Xie, L Ma, W Feng, Y Liu, J Zhao Proceedings of the 28th ACM international conference on multimedia, 4318-4327, 2020	256	2020
DeepStellar: Model-Based Quantitative Analysis of Stateful Deep Learning Systems X Du, X Xie, Y Li, L Ma, Y Liu, J Zhao The 27th ACM Joint European Software Engineering Conference and Symposium on …, 2019	220*	2019
Wuji: Automatic online combat game testing using evolutionary deep reinforcement learning Y Zheng, X Xie, T Su, L Ma, J Hao, Z Meng, Y Liu, R Shen, Y Chen, C Fan 2019 34th IEEE/ACM International Conference on Automated Software …, 2019	193	2019
An empirical study of common challenges in developing deep learning applications T Zhang, C Gao, L Ma, M Lyu, M Kim 2019 IEEE 30th International Symposium on Software Reliability Engineering …, 2019	183	2019
Countering malicious deepfakes: Survey, battleground, and horizon F Juefei-Xu, R Wang, Y Huang, Q Guo, L Ma, Y Liu International journal of computer vision 130 (7), 1678-1734, 2022	176	2022
Practical Fault Attack on Deep Neural Networks J Breier, X Hou, D Jap, L Ma, S Bhasin, Y Liu Conference on Computer and Communications Security (CCS’18), 2018	159	2018
An empirical study towards characterizing deep learning development and deployment across different frameworks and platforms Q Guo, S Chen, X Xie, L Ma, Q Hu, H Liu, Y Liu, J Zhao, X Li 2019 34th IEEE/ACM International Conference on Automated Software …, 2019	149	2019
Deepmutation++: A mutation testing framework for deep learning systems Q Hu, L Ma, X Xie, B Yu, Y Liu, J Zhao 2019 34th IEEE/ACM International Conference on Automated Software …, 2019	145	2019
Stealthy and efficient adversarial attacks against deep reinforcement learning J Sun, T Zhang, X Xie, L Ma, Y Zheng, K Chen, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5883-5891, 2020	142	2020
Deepsonar: Towards effective and robust detection of ai-synthesized fake voices R Wang, F Juefei-Xu, Y Huang, Q Guo, X Xie, L Ma, Y Liu Proceedings of the 28th ACM international conference on multimedia, 1207-1216, 2020	128	2020
Efficientderain: Learning pixel-wise dilation filtering for high-efficiency single-image deraining Q Guo, J Sun, F Juefei-Xu, L Ma, X Xie, W Feng, Y Liu, J Zhao Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1487-1495, 2021	123	2021
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models H Zhang, Z Li, G Li, L Ma, Y Liu, Z Jin Proceedings of the AAAI Conference on Artificial Intelligence, 2020	123	2020
An empirical study of the impact of hyperparameter tuning and model optimization on the performance properties of deep neural networks L Liao, H Li, W Shang, L Ma ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (3), 1-40, 2022	121	2022
Spark: Spatial-aware online incremental attack against visual tracking Q Guo, X Xie, F Juefei-Xu, L Ma, Z Li, W Xue, W Feng, Y Liu European conference on computer vision, 202-219, 2020	110	2020

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