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MA LEI  馬 雷

ORCIDConnect your ORCID iD *help
Researcher Number 70842061
Other IDs
Affiliation (Current) 2025: 東京大学, 大学院情報理工学系研究科, 准教授
Affiliation (based on the past Project Information) *help 2023 – 2024: 東京大学, 大学院情報理工学系研究科, 准教授
2020 – 2022: 九州大学, システム情報科学研究院, 准教授
2020: 九州大学, システム情報科学研究院, 学術研究員
2019: 九州大学, システム情報科学研究院, 助教
Review Section/Research Field
Principal Investigator
Basic Section 60050:Software-related / 1001:Information science, computer engineering, and related fields
Except Principal Investigator
Basic Section 60050:Software-related / Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords
Principal Investigator
信頼性 / 機械学習工学 / 深層学習システム / テスト / 分析 / LLM / 品質保証 / 回帰型ニューラルネットワーク / ソフトウエア修復 / ソフトウエアテスト … More / ソフトウエア解析 / 回帰型ニューラルネットワーク解析 / 知能ソフトウェア解析 / ソフトウェア工学 / 機械学習品質保証 / 回帰型ニューラルネットワーク分析 / 深層学習 / 知能ソフトウェア分析 / 品質保障 / ソフトウェアテスト / システム開発と展開 / ソフトウェア品質保障 / テスト基準 / 深層学習システムの展開 / 信頼性と安全性 / 差動テスト … More
Except Principal Investigator
プログラム修正 / テスト / サイバーフィジカルシステム / AI品質保証 / 開発コンテキスト / 自動生成 / テストスイート / 自動プログラム修正 / プログラムデバッグ / 信頼性と安全性 / ソフトウェアテスト / 安全性と信頼性 / 深層学習システム / ソフトウエアテスト Less
  • Research Projects

    (6 results)
  • Research Products

    (112 results)
  • Co-Researchers

    (15 People)
  •  大規模言語モデルのための品質保証技術に関する研究Principal Investigator

    • Principal Investigator
      馬 雷
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60050:Software-related
    • Research Institution
      The University of Tokyo
  •  Testing, Analysis, and Repair of AI-enabled Cyber-Physical Systems

    • Principal Investigator
      趙 建軍
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60050:Software-related
    • Research Institution
      Kyushu University
  •  機械がバグを修正する時代―擬似オラクル生成・適用と自動バグ修正技術の深化

    • Principal Investigator
      亀井 靖高
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      Kyushu University
  •  Comprehensive Analysis and Repairing Techniques for Stateful Deep Learning SystemsPrincipal Investigator

    • Principal Investigator
      MA LEI
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60050:Software-related
    • Research Institution
      Kyushu University
  •  Differential Testing Techniques Towards Large-scale Deployment of Deep Learning SystemsPrincipal Investigator

    • Principal Investigator
      MA LEI
    • Project Period (FY)
      2019 – 2020
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      1001:Information science, computer engineering, and related fields
    • Research Institution
      Kyushu University
  •  Automated Testing of Deep Learning Systems

    • Principal Investigator
      Zhao Jianjun
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60050:Software-related
    • Research Institution
      Kyushu University

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

  • [Journal Article] TraceJIT: Evaluating the Impact of Behavioral Code Change on Just-In-Time Defect Prediction2024

    • Author(s)
      Issei Morita, Yutaro Kashiwa, Masanari Kondo, Jeongju Sohn, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi
    • Journal Title

      Proc. of the International Conference on Software Analysis, Evolution, and Reengineering (SANER)

      Volume: 1 Pages: 1-12

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] Osmy: A Tool for Periodic Software Vulnerability Assessment and File Integrity Verification using SPDX Documents2024

    • Author(s)
      Rio Kishimoto, Tetsuya Kanda, Yuki Manabe, Katsuro Inoue, and Yoshiki Higo
    • Journal Title

      Proc. of the International Conference on Software Analysis, Evolution, and Reengineering (SANER)

      Volume: 1 Pages: 1-5

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning2023

    • Author(s)
      Hiroki Yamamoto, Dong Wang, Gopi Rajbahadur, Masanari Kondo, Yasutaka Kamei, and Naoyasu Ubayashi
    • Journal Title

      Proceedings of International Conference on Software Analysis, Evolution, and Reengineering

      Volume: 1

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] When Conversations Turn Into Work: A Taxonomy of Converted Discussions and Issues in GitHub2023

    • Author(s)
      Dong Wang, Masanari Kondo, Yasutaka Kamei, Raula Gaikovina Kula, Naoyasu Ubayashi
    • Journal Title

      Empirical Software Engineering Journal

      Volume: 28 Issue: 6 Pages: 1-30

    • DOI

      10.1007/s10664-023-10366-z

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17874, KAKENHI-PROJECT-23K16864, KAKENHI-PROJECT-20K19774, KAKENHI-PROJECT-20H05706, KAKENHI-PROJECT-21H04877
  • [Journal Article] The Effects of Soft Assertion on Spectrum-Based Fault Localization2023

    • Author(s)
      Mihara Kouhei、Matsumoto Shinsuke、Kusumoto Shinji
    • Journal Title

      Proc. of the International Conference on Product-Focused Software Process Improvement (PROFES)

      Volume: 1 Pages: 379-386

    • DOI

      10.1007/978-3-031-49266-2_26

    • ISBN
      9783031492655, 9783031492662
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] Large-Scale Evaluation of Method-Level Bug Localization with FinerBench4BL2023

    • Author(s)
      Shizuka Tsumita, Shinpei Hayashi, Sousuke Amasaki
    • Journal Title

      Proceedings of the 30th IEEE International Conference on Software Analysis, Evolution and Reengineering

      Volume: 1

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] FalsifAI: Falsification of AI-Enabled Hybrid Control Systems Guided by Time-Aware Coverage Criteria2023

    • Author(s)
      Zhang Zhenya、Lyu Deyun、Arcaini Paolo、Ma Lei、Hasuo Ichiro、Zhao Jianjun
    • Journal Title

      IEEE Transactions on Software Engineering

      Volume: 49 Issue: 4 Pages: 1842-1859

    • DOI

      10.1109/tse.2022.3194640

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04877, KAKENHI-PROJECT-20H04168, KAKENHI-PROJECT-19H04086
  • [Journal Article] Do Exceptional Behavior Tests Matter on Spectrum-Based Fault Localization?2023

    • Author(s)
      Yoshioka Haruka、Higo Yoshiki、Matsumoto Shinsuke、Kusumoto Shinji、Itoh Shinji、Huyen Phan Thi Thanh
    • Journal Title

      Proc. of the International Conference on Product-Focused Software Process Improvement (PROFES)

      Volume: 1 Pages: 399-414

    • DOI

      10.1007/978-3-031-49266-2_28

    • ISBN
      9783031492655, 9783031492662
    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04877, KAKENHI-PROJECT-23K24823
  • [Journal Article] PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks2023

    • Author(s)
      Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei
    • Journal Title

      Information and Software Technology

      Volume: 155 Pages: 107117-107117

    • DOI

      10.1016/j.infsof.2022.107117

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K17874, KAKENHI-PROJECT-21H04877, KAKENHI-PROJECT-20H04168, KAKENHI-PROJECT-18H04097, KAKENHI-PROJECT-20H04167
  • [Journal Article] ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks2023

    • Author(s)
      Hua Qi, Zhijie Wang, Qing Guo, Jianlang Chen, Felix Juefei-Xu, Lei Ma, Jianjun Zhao
    • Journal Title

      ACM Transactions on Software Engineering and Methodology 2023 (TOSEM)

      Volume: 1 Pages: 1-33

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] A Survey on Automated Driving System Testing: Landscapes and Trends.2023

    • Author(s)
      Shuncheng Tang, Zhenya Zhang, Yi Zhang, Jixiang Zhou, Yan Guo, Shuang Liu, Shengjian Guo, Yan-Fu Li, Lei Ma, Yinxing Xue, Yang Liu
    • Journal Title

      ACM Transactions on Software Engineering and Methodology (TOSEM 2023, CORE Rank A*, impact factor 3.685)

      Volume: n.a. Issue: 5 Pages: 1-62

    • DOI

      10.1145/3579642

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Journal Article] Automatic Fixation of Decompilation Quirks Using Pre-trained Language Model2023

    • Author(s)
      Kaichi Ryunosuke、Matsumoto Shinsuke、Kusumoto Shinji
    • Journal Title

      Proc. of the International Conference on Product-Focused Software Process Improvement (PROFES)

      Volume: 1 Pages: 259-266

    • DOI

      10.1007/978-3-031-49266-2_18

    • ISBN
      9783031492655, 9783031492662
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks2023

    • Author(s)
      Hua Qi, Zhijie Wang, Qing Guo, Jianlang Chen, Felix Juefei-Xu, Fuyuan Zhang, Lei Ma, Jianjun Zhao
    • Journal Title

      ACM Transactions on Software Engineering and Methodology (TOSEM 2023, CORE Rank A*, Impact Factor 3.685)

      Volume: n.a.

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Journal Article] Repeated Builds During Code Review: An Empirical Study of the OpenStack Community2023

    • Author(s)
      Maipradit Rungroj、Wang Dong、Thongtanunam Patanamon、Kula Raula Gaikovina、Kamei Yasutaka、McIntosh Shane
    • Journal Title

      Proc. of the IEEE/ACM International Conference on Automated Software Engineering (ASE)

      Volume: 1 Pages: 153-165

    • DOI

      10.1109/ase56229.2023.00030

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18630, KAKENHI-PROJECT-23K16864, KAKENHI-PROJECT-21H04877
  • [Journal Article] PyVerDetector: A Chrome Extension Detecting the Python Version of Stack Overflow Code Snippets2023

    • Author(s)
      Yang Shiyu、Kanda Tetsuya、Pizzolotto Davide、German Daniel M.、Higo Yoshiki
    • Journal Title

      Proc. of the International Conference on Program Comprehension (ICPC)

      Volume: 1 Pages: 25-29

    • DOI

      10.1109/icpc58990.2023.00013

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing.2023

    • Author(s)
      Yuheng Huang, Lei Ma, Yuanchun Li
    • Journal Title

      ACM Transactions on Software Engineering and Methodology (TOSEM 2023, CORE Rank A*, Impact Factor 3.685)

      Volume: n.a. Issue: 6 Pages: 1-34

    • DOI

      10.1145/3591870

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Journal Article] Empirical Study of Co-Renamed Identifiers2022

    • Author(s)
      Yuki Osumi, Naotaka Umekawa, Hitomi Komata, Shinpei Hayashi
    • Journal Title

      Proceedings of the 29th Asia-Pacific Software Engineering Conference 2022

      Volume: 1 Pages: 71-80

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks2022

    • Author(s)
      Xie Xiaofei、Li Tianlin、Wang Jian、Ma Lei、Guo Qing、Juefei-Xu Felix、Liu Yang
    • Journal Title

      ACM Transactions on Software Engineering and Methodology

      Volume: 31 Issue: 3 Pages: 1-27

    • DOI

      10.1145/3490489

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168, KAKENHI-PROJECT-21H04877
  • [Journal Article] An empirical study on self-admitted technical debt in Dockerfiles2022

    • Author(s)
      Azuma Hideaki、Matsumoto Shinsuke、Kamei Yasutaka、Kusumoto Shinji
    • Journal Title

      Empirical Software Engineering

      Volume: 27 Issue: 2 Pages: 1-26

    • DOI

      10.1007/s10664-021-10081-7

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] Hey APR! Integrate Our Fault Localization Skill: Toward Better Automated Program Repair2022

    • Author(s)
      Yamate Kyosuke、Kondo Masanari、Kashiwa Yutaro、Kamei Yasutaka、Ubayashi Naoyasu
    • Journal Title

      Proceedings of Annual Computers, Software, and Applications Conference (COMPSAC)

      Volume: 1 Pages: 563-568

    • DOI

      10.1109/compsac54236.2022.00101

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877, KAKENHI-PROJECT-18H04097
  • [Journal Article] Are NLP Metrics Suitable for Evaluating Generated Code?2022

    • Author(s)
      Takaichi Riku、Higo Yoshiki、Matsumoto Shinsuke、Kusumoto Shinji、Kurabayashi Toshiyuki、Kirinuki Hiroyuki、Tanno Haruto
    • Journal Title

      Proceedings of International Conference on Product-Focused Software Process Improvement

      Volume: 1 Pages: 531-537

    • DOI

      10.1007/978-3-031-21388-5_38

    • ISBN
      9783031213878, 9783031213885
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877, KAKENHI-PROJECT-23K24823
  • [Journal Article] Tidy Up Your Source Code! Eliminating Wasteful Statements in Automatically Repaired Source Code2022

    • Author(s)
      Iwase Takumi、Matsumoto Shinsuke、Kusumoto Shinji
    • Journal Title

      Proceedings of International Conference on Product-Focused Software Process Improvement

      Volume: 1 Pages: 544-550

    • DOI

      10.1007/978-3-031-21388-5_40

    • ISBN
      9783031213878, 9783031213885
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] On the usage and development of deep learning compilers: an empirical study on TVM2022

    • Author(s)
      Xiongfei Wu, Jinqiu Yang, Lei Ma, Yinxing Xue, and Jianjun Zhao
    • Journal Title

      Empirical Software Engineering volume 27, 172, Sep. 2022 (EMSE 2022, Impact Factor 3.762)

      Volume: 27

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Journal Article] Evaluating Automated Program Repair Techniques using Introductory Programming Course Datasets2022

    • Author(s)
      Nakamura Tsukasa、Kondo Masanari、Kamei Yasutaka、Ubayashi Naoyasu
    • Journal Title

      Proceedings of Annual Computers, Software, and Applications Conference (COMPSAC)

      Volume: 1 Pages: 569-574

    • DOI

      10.1109/compsac54236.2022.00102

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877, KAKENHI-PROJECT-18H04097
  • [Journal Article] Do visual issue reports help developers fix bugs?2022

    • Author(s)
      Kuramoto Hiroki、Kondo Masanari、Kashiwa Yutaro、Ishimoto Yuta、Shindo Kaze、Kamei Yasutaka、Ubayashi Naoyasu
    • Journal Title

      Proceedings of International Conference on Program Comprehension (ICPC)

      Volume: 1 Pages: 511-515

    • DOI

      10.1145/3524610.3527882

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] An empirical study on self-admitted technical debt in modern code review2022

    • Author(s)
      Kashiwa Yutaro、Nishikawa Ryoma、Kamei Yasutaka、Kondo Masanari、Shihab Emad、Sato Ryosuke、Ubayashi Naoyasu
    • Journal Title

      Information and Software Technology

      Volume: 146 Pages: 106855-106855

    • DOI

      10.1016/j.infsof.2022.106855

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K17725, KAKENHI-PROJECT-21H04877
  • [Journal Article] Classification of Changes Based on API2022

    • Author(s)
      Iriyama Masashi、Higo Yoshiki、Kusumoto Shinji
    • Journal Title

      Proceedings of International Conference on Product-Focused Software Process Improvement

      Volume: 1 Pages: 61-70

    • DOI

      10.1007/978-3-031-21388-5_5

    • ISBN
      9783031213878, 9783031213885
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877, KAKENHI-PROJECT-23K24823
  • [Journal Article] DARTSRepair: Core-failure-set guided DARTS for network robustness to common corruptions2022

    • Author(s)
      Ren Xuhong、Chen Jianlang、Juefei-Xu Felix、Xue Wanli、Guo Qing、Ma Lei、Zhao Jianjun、Chen Shengyong
    • Journal Title

      Pattern Recognition

      Volume: 131 Pages: 108864-108864

    • DOI

      10.1016/j.patcog.2022.108864

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04877, KAKENHI-PROJECT-20H04168
  • [Journal Article] When cyber-physical systems meet AI2022

    • Author(s)
      Song Jiayang、Lyu Deyun、Zhang Zhenya、Wang Zhijie、Zhang Tianyi、Ma Lei
    • Journal Title

      Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice

      Volume: 1 Pages: 343-352

    • DOI

      10.1145/3510457.3513049

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] Learning to Adversarially Blur Visual Object Tracking2021

    • Author(s)
      Guo Qing、Cheng Ziyi、Juefei-Xu Felix、Ma Lei、Xie Xiaofei、Liu Yang、Zhao Jianjun
    • Journal Title

      Proceedings of International Conference on Computer Vision

      Volume: 1 Pages: 10819-10828

    • DOI

      10.1109/iccv48922.2021.01066

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] Detecting Functional Differences using Automatic Test Generation for Automated Assessment in Programming Education2021

    • Author(s)
      Ryoko Izuta, Shinsuke Matsumoto, Hiroshi Igaki, Sachio Saiki, Naoki Fukuyasu, Shinji Kusumoto
    • Journal Title

      Proc. 28th Asia-Pacific Software Engineering Conference (APSEC)

      Volume: APSEC 2021 Pages: 526-530

    • DOI

      10.1109/apsec53868.2021.00062

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K03001, KAKENHI-PROJECT-21H04877
  • [Journal Article] Applying Multi-Objective Genetic Algorithm for Efficient Selection on Program Generation2021

    • Author(s)
      Watanabe Hiroto、Matsumoto Shinsuke、Higo Yoshiki、Kusumoto Shinji、Kurabayashi Toshiyuki、Kirinuki Hiroyuki、Tanno Haruto
    • Journal Title

      Proceedings of Asia-Pacific Software Engineering Conference (APSEC)

      Volume: 1 Pages: 515-519

    • DOI

      10.1109/apsec53868.2021.00060

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] Evaluating the impact of falsely detected performance bug-inducing changes in JIT models2021

    • Author(s)
      Quach Sophia、Lamothe Maxime、Adams Bram、Kamei Yasutaka、Shang Weiyi
    • Journal Title

      Empirical Software Engineering

      Volume: 26 Issue: 5 Pages: 1-33

    • DOI

      10.1007/s10664-021-10004-6

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] JTDog: a Gradle Plugin for Dynamic Test Smell Detection2021

    • Author(s)
      Taniguchi Masayuki、Matsumoto Shinsuke、Kusumoto Shinji
    • Journal Title

      Proceedings of International Conference on Automated Software Engineering (ASE)

      Volume: 1 Pages: 1271-1275

    • DOI

      10.1109/ase51524.2021.9678529

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Journal Article] DeepRepair: Style-Guided Repairing for Deep Neural Networks in the Real-World Operational Environment2021

    • Author(s)
      Yu Bing、Qi Hua、Qing Guo、Juefei-Xu Felix、Xie Xiaofei、Ma Lei、Zhao Jianjun
    • Journal Title

      IEEE Transactions on Reliability

      Volume: - Issue: 4 Pages: 1-16

    • DOI

      10.1109/tr.2021.3096332

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168, KAKENHI-PROJECT-21H04877, KAKENHI-PROJECT-19H04086
  • [Journal Article] Machine Learning Testing: Survey, Landscapes and Horizons2020

    • Author(s)
      Zhang Jie M.、Harman Mark、Ma Lei、Liu Yang
    • Journal Title

      IEEE Transactions on Software Engineering

      Volume: 1 Issue: 1 Pages: 1-37

    • DOI

      10.1109/tse.2019.2962027

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction2023

    • Author(s)
      Zhijie Wang, Yuheng Huang, Da Song, Lei Ma, Tianyi Zhang
    • Organizer
      The ACM CHI Conference on Human Factors in Computing Systems (CHI 2023, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Towards Robust Object Detection Models by Metamorphic Testing2023

    • Author(s)
      Jianhong Wang, Yuta Ishimoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi
    • Organizer
      情報処理学会ソフトウェア工学研究会
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Presentation] DeepLens: Interactive Out-of-Distribution Data Detection in NLP Models2023

    • Author(s)
      Da Song, Zhijie Wang, Yuheng Huang, Lei Ma, Tianyi Zhang
    • Organizer
      The ACM CHI Conference on Human Factors in Computing Systems (CHI 2023, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] CodeS: Towards Code Model Generalization Under Distribution Shift2023

    • Author(s)
      Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
    • Organizer
      The 45th International Conference on Software Engineering, NIER Track (ICSE 2023, CORE Rank A* )
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation2023

    • Author(s)
      Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
    • Organizer
      The 45th International Conference on Software Engineering (ICSE 2023, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] An Initial Analysis of Repair and Side-effect Prediction for Neural Networks2023

    • Author(s)
      Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei
    • Organizer
      The 2nd International Conference on AI Engineering - Software Engineering for AI (CAIN 2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] DeepGemini: Verifying Dependency Fairness for Deep Neural Network2023

    • Author(s)
      Xuan Xie, Fuyuan Zhang, Xinwen Hu, Lei Ma
    • Organizer
      The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Docker における複数環境対応のための Dockerfile プリプロセッサの調査2023

    • Author(s)
      馬渕 航, 松本 真佑, 楠本 真二
    • Organizer
      電子情報通信学会技術研究報告(SIGSS)
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Presentation] Generative Model-Based Testing on Decision-Making Policies2023

    • Author(s)
      Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao
    • Organizer
      The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K28062
  • [Presentation] DeepRover: A Query-efficient Blackbox Attack for Deep Neural Networks2023

    • Author(s)
      Fuyuan Zhang, Xinwen Hu, Lei Ma, Jianjun Zhao
    • Organizer
      The 31st ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K28062
  • [Presentation] Evaluating the impact of falsely detected performance bug-inducing changes in JIT models2022

    • Author(s)
      Sophia Quach, Maxime Lamothe, Bram Adams, Yasutaka Kamei, and Weiyi Shang
    • Organizer
      International Conference on Software Engineering
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Presentation] An Empirical Study on Self-Admitted Technical Debt in Modern Code Review2022

    • Author(s)
      Yutaro Kashiwa, Ryoma Nishikawa, Yasutaka Kamei, Masanari Kondo, Emad Shihab, Ryosuke Sato, and Naoyasu Ubayashi
    • Organizer
      International Conference on Software Maintenance and Evolution
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04877
  • [Presentation] When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward2022

    • Author(s)
      Jiayang Song, Deyun Lyu, Zhenya Zhang, Zhijie Wang, Tianyi Zhang, Lei Ma
    • Organizer
      The 44th International Conference on Software Engineering, SEIP Track (ICSE 2022, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Learning to adversarially blur visual object tracking2021

    • Author(s)
      Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao
    • Organizer
      Proceedings of the IEEE/CVF International Conference on Computer Vision
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Effective hybrid system falsification using monte carlo tree search guided by QB-robustness2021

    • Author(s)
      Zhenya Zhang, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, Jianjun Zhao
    • Organizer
      Computer Aided Verification: 33rd International Conference, CAV 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Effective Hybrid System Falsification Using Monte Carlo Tree Search Guided by QB-Robustness2021

    • Author(s)
      Zhenya Zhang, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo and Jianjun Zhao
    • Organizer
      The 33rd International Conference on Computer-Aided Verification, 2021 (CAV 2021, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image2021

    • Author(s)
      Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, and Jianjun
    • Organizer
      Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] Deepmix: Online auto data augmentation for robust visual object tracking2021

    • Author(s)
      Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao
    • Organizer
      2021 IEEE International Conference on Multimedia and Expo (ICME)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining2021

    • Author(s)
      Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, and Jianjun Zhao
    • Organizer
      The 35th AAAI Conference on Artificial Intelligence (AAAI 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Efficientderain: Learning pixel-wise dilation filtering for high-efficiency single-image deraining2021

    • Author(s)
      Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao
    • Organizer
      Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks2021

    • Author(s)
      Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun
    • Organizer
      Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] What to Blame? On the Granularity of Fault Localization for Deep Neural Networks2021

    • Author(s)
      Matias Duran, Xiao-Yi Zhang, Paolo Arcaini, Fuyuki Ishikawa
    • Organizer
      The 32nd International Symposium on Software Reliability Engineering (ISSRE 2021 Practical Experience Reports), pp.264-275, October 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Effective Hybrid System Falsification Using Monte Carlo Tree Search Guided by QB-Robustness2021

    • Author(s)
      Zhenya Zhang, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo and Jianjun Zhao
    • Organizer
      The 33rd International Conference on Computer-Aided Verification, 2021 (CAV 2021, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding2021

    • Author(s)
      Maryam V. Pour, Li Zhuo, Lei Ma and Hadi Hemmati
    • Organizer
      IEEE International Conference on Software Testing, Verification and Validation (ICST 2021, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Learning to Adversarially Blur Visual Object Tracking2021

    • Author(s)
      Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, and Jianjun Zhao
    • Organizer
      International Conference on Computer Vision, Montreal, Canada, 2021 (ICCV 2021, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Model-based Data-Complexity Estimator for Deep Learning Systems2021

    • Author(s)
      Yuta Ojima, Shingo Horiuchi, Fuyuki Ishikawa
    • Organizer
      The 3rd IEEE International Conference on Artificial Intelligence Testing (IEEE AI Tests 2021), pp.1-8, August 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Automatic RNN Repair via Model-based Analysis2021

    • Author(s)
      Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing
    • Organizer
      The 38th International Conference on Machine Learning, 2021 (ICML 2021, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Automatic Web Testing using Curiosity-Driven Reinforcement Learning2021

    • Author(s)
      Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, and Yang Liu
    • Organizer
      The 43rd International Conference on Software Engineering (ICSE 2021, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks2021

    • Author(s)
      Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun
    • Organizer
      Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] On the effectiveness of signal rescaling in hybrid system falsification2021

    • Author(s)
      Zhenya Zhang, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, Jianjun Zhao
    • Organizer
      NASA Formal Methods: 13th International Symposium, NFM 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining2021

    • Author(s)
      Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, and Jianjun Zhao
    • Organizer
      Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding2021

    • Author(s)
      Maryam V. Pour, Li Zhuo, Lei Ma and Hadi Hemmati
    • Organizer
      IEEE International Conference on Software Testing, Verification and Validation (ICST 2021, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] A First Look at the Integration of Machine Learning Models in Complex Autonomous Driving Systems: a Case Study on Apollo2020

    • Author(s)
      Zi Peng, Jinqiu Yang, Tse-Hsun Chen, Lei Ma
    • Organizer
      The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness2020

    • Author(s)
      David Berend, Xiaofei Xie, Lei Ma, Lingjun Zhou, Yang Liu, Chi Xu, Jianjun Zhao
    • Organizer
      The 35th IEEE/ACM International Conference on Automated Software Engineering. (ASE 2020, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Generating Adversarial Examples for Holding Robustness of Source Code Processing Models2020

    • Author(s)
      Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin
    • Organizer
      The 34th AAAI Conference on Artificial Intelligence, New York, USA, Feb 7-12, 2020. (AAAI'20, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty2020

    • Author(s)
      Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, and Meng Sun
    • Organizer
      The 42nd International Conference on Software Engineering (ICSE 2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Few-Shot Guided Mix for DNN Repairing2020

    • Author(s)
      Xuhong Ren, Bing Yu, Hua Qi, Felix Juefei-Xu, Zhuo Li, Wanli Xue, Lei Ma and Jianjun Zhao
    • Organizer
      The 36th IEEE International Conference on Software Maintenance and Evolution, NIER Track (CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Watch out! Motion is Blurring the Vision of Your Deep Neural Networks2020

    • Author(s)
      Qing Gu, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu
    • Organizer
      Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] How are Deep Learning Models Similar? An Empirical Study on Clone Analysis of Deep Learning Software2020

    • Author(s)
      Xiongfei Wu, Liangyu Qin, Bing Yu, Xiaofei Xie, Lei Ma, Yinxing Xue, Yang Liu, and Jianjun Zhao
    • Organizer
      The 28th International Conference on Program Comprehension (ICPC 2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices2020

    • Author(s)
      Run Wang,Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu
    • Organizer
      Proceedings of the 28th ACM International Conference on Multimedia (ACM MM, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] Amora: Black-box Adversarial Morphing Attack2020

    • Author(s)
      Run Wang,Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu
    • Organizer
      Proceedings of the 28th ACM International Conference on Multimedia (ACM MM, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices2020

    • Author(s)
      Run Wang,Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu
    • Organizer
      Proceedings of the 28th ACM International Conference on Multimedia (ACM MM, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] MARBLE: Model-Based Robustness Analysis of Stateful Deep Learning Systems2020

    • Author(s)
      Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, Jianjun Zhao
    • Organizer
      The 35th IEEE/ACM International Conference on Automated Software Engineering. (ASE 2020, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty2020

    • Author(s)
      Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun
    • Organizer
      The 42nd International Conference on Software Engineering, 12 pages, 23-29 May 2020, Seoul, South Korea (ICSE’20, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] Marble: Model-Based Robustness Analysis of Stateful Deep Learning Systems2020

    • Author(s)
      Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, Jianjun Zhao
    • Organizer
      The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning2020

    • Author(s)
      Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu
    • Organizer
      The 34th AAAI Conference on Artificial Intelligence, 9 pages, New York, USA, Feb 7-12, 2020. (AAAI’20, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness2020

    • Author(s)
      David Berend, Xiaofei Xie, Lei Ma, Lingjun Zhou, Yang Liu, Chi Xu, Jianjun Zhao
    • Organizer
      The 35th IEEE/ACM International Conference on Automated Software Engineering. (ASE 2020, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms2020

    • Author(s)
      Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao
    • Organizer
      Proceedings of the 28th ACM International Conference on Multimedia (ACM MM, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Amora: Black-box Adversarial Morphing Attack2020

    • Author(s)
      Run Wang,Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu
    • Organizer
      Proceedings of the 28th ACM International Conference on Multimedia (ACM MM, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H04168
  • [Presentation] Few-Shot Guided Mix for DNN Repairing2020

    • Author(s)
      Xuhong Ren, Bing Yu, Hua Qi, Felix Juefei-Xu, Zhuo Li, Wanli Xue, Lei Ma, and Jianjun Zhao
    • Organizer
      Proc. 36th IEEE International Conference on Software Maintenance and Evolution (ICSME 2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning2020

    • Author(s)
      Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu
    • Organizer
      The 34th AAAI Conference on Artificial Intelligence, New York, USA, Feb 7-12, 2020. (AAAI'20, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] Few-Shot Guided Mix for DNN Repairing2020

    • Author(s)
      Xuhong Ren, Bing Yu, Hua Qi, Felix Juefei-Xu, Zhuo Li, Wanli Xue, Lei Ma and Jianjun Zhao
    • Organizer
      The 36th IEEE International Conference on Software Maintenance and Evolution (CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] A first look at the integration of machine learning models in complex autonomous driving systems: a case study on Apollo2020

    • Author(s)
      Zi Peng, Jinqiu Yang, Tse-Hsun Chen, Lei Ma
    • Organizer
      The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] Towards characterizing adversarial defects of deep learning software from the lens of uncertainty2020

    • Author(s)
      Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun
    • Organizer
      The 42nd International Conference on Software Engineering, 12 pages, 23-29 May 2020, Seoul, South Korea (ICSE’20, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] MARBLE: Model-Based Robustness Analysis of Stateful Deep Learning Systems2020

    • Author(s)
      Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, Jianjun Zhao
    • Organizer
      The 35th IEEE/ACM International Conference on Automated Software Engineering. (ASE 2020, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms2020

    • Author(s)
      Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, and Jianjun Zhao
    • Organizer
      The 28th ACM International Conference on Multimedia (ACM MM 2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness2020

    • Author(s)
      David Berend, Xiaofei Xie, Lei Ma, Lingjun Zhou, Yang Liu, Chi Xu, and Jianjun Zhao
    • Organizer
      The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Generating Adversarial Examples for Holding Robustness of Source Code Processing Models2020

    • Author(s)
      Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin
    • Organizer
      The 34th AAAI Conference on Artificial Intelligence, 8 pages, New York, USA, Feb 7-12, 2020. (AAAI’20, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] Watch out! Motion is Blurring the Vision of Your Deep Neural Networks2020

    • Author(s)
      Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu
    • Organizer
      Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020, CORE Rank A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] Secure Deep Learning Engineering: A Road towards Quality Assurance of Intelligent Systems2019

    • Author(s)
      Yang Liu, Lei Ma, and Jianjun Zhao
    • Organizer
      Proc. 21st International Conference on Formal Engineering Methods (ICFEM 2019)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Secure Deep Learning Engineering: a Road towards Quality Assurance of Intelligent Systems2019

    • Author(s)
      Yang Liu, Lei Ma, Jianjun Zhao
    • Organizer
      The 21st International Conference on Formal Engineering Methods, pp.3-15, ShenZhen, China, Nov. 2019 (ICFEM 2019, CORE Rank B)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] DeepHunter: A Coverage-Guided Fuzz Testing Framework for Deep Neural Networks2019

    • Author(s)
      Xiaofei Xie, Lei Ma [Corresponding Author], Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See
    • Organizer
      The 28th International Symposium on Software Testing and Analysis, pp.146-157, Beijing, China, July 2019 (ISSTA’19, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] DeepStellar: Model-Based Quantitative Analysis of Stateful Deep Learning Systems2019

    • Author(s)
      Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu and Jianjun Zhao
    • Organizer
      Proc. 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] DeepVisual: A Visual Programming Tool for Deep Learning Systems2019

    • Author(s)
      Chao Xie, Hua Qi, Lei Ma, and Jianjun Zhao
    • Organizer
      Proc. 27th IEEE/ACM International Conference on Program Comprehension (ICPC 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Yan Zheng, Xiaofei Xie, Ting Su, Lei Ma, Jianye Hao, Zhaopeng Meng, Yang Liu, Ruimin Shen, Yinfeng Chen, Changjie Fan2019

    • Author(s)
      Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning
    • Organizer
      The 34rd IEEE/ACM International Conference on Automated Software Engineering, pp.772-784, San Diego, California, USA, November 11-15, 2019 (ASE’19, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] DeepStellar: Model-Based Quantitative Analysis of Stateful Deep Learning Systems2019

    • Author(s)
      Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu and Jianjun Zhao
    • Organizer
      The 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 477-487, Tallinn, Estonia, August 2019 (FSE’19, CORE A*)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] DeepMutation++: a Mutation Testing Framework for Deep Learning Systems2019

    • Author(s)
      Qiang Hu, Lei Ma, Xiaofei Xie, Bing Yu, Yang Liu, and Jianjun Zhao
    • Organizer
      In Proc. 34th IEEE/ACM Conference on Automated Software Engineering, pp.1158-1161, San Diego, California, USA, November 11-15, 2019. (ASE’19, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] A Quantitative Analysis Framework for Recurrent Neural Network.2019

    • Author(s)
      Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, and Jianjun Zhao
    • Organizer
      In Proc. 34th IEEE/ACM Conference on Automated Software Engineering, pp.1062-1065, San Diego, California, USA, November 11-15, 2019. (ASE’19, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] DeepHunter:A Coverage-Guided Fuzz Testing Framework for Deep Neural Networks2019

    • Author(s)
      Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, and Simon See
    • Organizer
      Proc. 28th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] A Quantitative Analysis Framework for Recurrent Neural Network2019

    • Author(s)
      Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, and Jianjun Zhao
    • Organizer
      Proc. 34th IEEE/ACM Conference on Automated Software Engineering (ASE 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] An Empirical Study of Common Challenges in Developing Deep Learning Applications2019

    • Author(s)
      Tianyi Zhang, Cuiyun Gao, Lei Ma, Michael R. Lyu and Miryung Kim
    • Organizer
      The 30th International Symposium on Software Reliability Engineering, 12 pages, Oct. 2019, Berlin, Germany (ISSRE’19, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms2019

    • Author(s)
      Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li
    • Organizer
      In Proc. 34th IEEE/ACM Conference on Automated Software Engineering, pp.810-822, San Diego, California, USA, November 11-15, 2019. (ASE’19, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • [Presentation] An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms2019

    • Author(s)
      Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li
    • Organizer
      Proc. 34th IEEE/ACM Conference on Automated Software Engineering (ASE 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] DeepHunter: A Coverage-Guided Fuzzer for Deep Neural Networks2019

    • Author(s)
      Xiaofei Xie, Hongxu Chen, Yi Li, Lei Ma, Yang Liu, and Jianjun Zhao
    • Organizer
      Proc. 34th IEEE/ACM Conference on Automated Software Engineering (ASE 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] DeepMutation++: a Mutation Testing Framework for Deep Learning Systems2019

    • Author(s)
      Qiang Hu, Lei Ma, Xiaofei Xie, Bing Yu, Yang Liu, and Jianjun Zhao
    • Organizer
      Proc. 34th IEEE/ACM Conference on Automated Software Engineering (ASE 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04086
  • [Presentation] Coverage-guided Fuzzing for Feedforward Neural Networks2019

    • Author(s)
      Xiaofei Xie, Hongxu Chen, Yi Li, Lei Ma, Yang Liu, and Jianjun Zhao
    • Organizer
      In Proc. 34th IEEE/ACM Conference on Automated Software Engineering, pp.1162-1165, San Diego, California, USA, November 11-15, 2019. (ASE’19, CORE Rank A)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K24348
  • 1.  Zhao Jianjun (20299580)
    # of Collaborated Projects: 4 results
    # of Collaborated Products: 32 results
  • 2.  鵜林 尚靖 (80372762)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 1 results
  • 3.  石川 冬樹 (50455193)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 2 results
  • 4.  亀井 靖高 (10610222)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 11 results
  • 5.  佐藤 周行 (20225999)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 6.  馮 尭楷 (60363389)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 7.  林 晋平 (40541975)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 8.  肥後 芳樹 (70452414)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 6 results
  • 9.  松本 真佑 (90583948)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 9 results
  • 10.  宮尾 祐介 (00343096)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  蓮尾 一郎 (60456762)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  張 振亜 (10971228)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 13.  福安 直樹
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 14.  近藤 将成
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 2 results
  • 15.  柏 祐太郎
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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