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Dapeng Zhi, Peixin Wang, Si Liu, Luke Ong,,Min Zhang Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems The,36th,CAV,2024,(CCF-A),,,Accepted
Haoze Wu, ,Omri Isac, ...,,Min Zhang,,Ekaterina Komendantskaya, Guy Katz and Clark Barrett Marabou 2.0: A Versatile Formal Analyzer of Neural Networks The,36th,CAV,2024 ,(CCF-A),,Accepted
Liangyu Chen, Chen Wang, Cheng Chen, Caidie Huang, Xiaohong Chen,,Min Zhang HomeGuard: A Lightweight SMT-Based Conflict Analysis for Trigger-Action Programming IEEE Internet of Things (IoT) Journal, 2024,,Accepted
Dapeng Zhi, Peixin Wang, Cheng Chen,,Min Zhang ,Robustness Verification of Deep Reinforcement Learning Based Control Systems using Reward Martingales The,38th,AAAI, 2024,,,(CCF-A,,Link)
Zhaohui Wang, Min Zhang, Jingran Yang, Bojie Shao,,Min Zhang MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search The,46th,ICSE, 2024,,Accepted (CCF-A, Technical Track)
Zhiyi Xue, Liangguo Li, Senyue Tian, Xiaohong Chen, Pingping Li, Liangyu Chen, Tingting Jiang,,Min Zhang Domain Knowledge is All You Need: A Field Deployment of ,LLM-Powered Test Case Generation in FinTech Domain The,46th,ICSE, 2024,,Accepted (CCF-A, Poster Track)
Jiaxu Tian, Dapeng Zhi, Si Liu, Peixin Wang, Guy Katz,,Min Zhang: Taming Reachability Analysis of DNN-Controlled Systems via Abstraction-Based Training The,25th,VMCAI, 2024,,,Vol. 14500, pp. 73 - 97, LNCS, Springer (CCF-B,,link)
Jiaxu Tian, Dapeng Zhi, Si Liu, Peixin Wang, Cheng Chen,,Min Zhang: Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks The,37th,NeurIPS, 2023,,,Accepted (CCF-A,,Link)
Zhiyi Xue, Si Liu, Zhaodi Zhang, Yiting Wu,,Min Zhang: A Tale of Two Approximations: Tightening Over-Approximation for ,DNN Robustness Verification via Under-Approximation The,32nd,ISSTA, 2023,,pp. 1182-1194, ACM.,(CCF-A,,Link)
Zhaodi Zhang, Zhiyi Xue, Yang Chen, Si Liu, Yueling Zhang, Jing Liu,,Min Zhang: Boosting Verified Training for Robust Image Classifications via Abstraction The,CVPR, 2023,pp. 16251-16260, ,(CCF-A,,Link)
Xiaohong Chen, Juan Zhang, Zhi Jin,,Min Zhang, Tong Li, Xiang Chen, Tingliang Zhou: Empowering Domain Experts with Formal Methods for Consistency Verification of Safety Requirements The,IEEE Transactions on Intelligent Transportation Systems, 2023 (JCR Q1)
Ming Hu, Jun Xia,,Min Zhang, Xiaohong Chen, Frederic Mallet, Mingsong Chen: Automated Synthesis of Safe Timing Behaviors for Requirements Models using CCSL The,IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023 (CCF-A,,link)
Ming Hu, E Cao, Hongbing Huang,,Min Zhang, Xiaohong Chen, Mingsong Chen: AIoTML: A Unified Modeling Language for AIoT-Based Cyber-Physical Systems The,IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023 (CCF-A,,link)
Xingwu Guo, Ziwei Zhou, ,Yueling Zhang, Katz Guy,,Min Zhang: OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks The,29th TACAS, pp. 208-226, LNCS, Springer, 2023 ,(CCF-B,,Link)
Xinping Wang, Liangyu Chen,,Min Zhang: Deep Attentive Model for Knowledge Tracing ,,, The,37th AAAI, pp. 10192-10199, AAAI, 2023 (CCF-A,,Link)
Min Zhang: Abstraction-Based Training and Verification of Safe Deep Reinforcement Learning Systems (extended abstract) The,8th SETTA, vol. 13649, LNCS, Springer, 2022 ,(CCF-C,,PDF)
Zhaodi Zhang, Yiting Wu, Si Liu, Jing Liu*,,Min Zhang*: Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks. The,37th,ASE, 2022, ACM (CCF-A,,PDF)
Yedi Zhang, Zhe Zhao, Guangke Chen, Fu Song,,Min Zhang, Taolue Chen, Jun Sun: QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks. The,37th ASE,2022, ACM (CCF-A)
Peng Jin, Jiaxu Tian, Dapeng Jin, Xuejun Wen,,Min Zhang*:, Trainify: A CEGAR-Driven Training and Verification Framework for Safe Deep Reinforcement Learning. The,34th CAV, pp. 219-238, vol. 13371, Springer, 2022 (CCF-A,,PDF,,Slides,,Video)
Si Liu, Peter C. Olveczky, Jose Meseguer,,Min Zhang, David Basin:, Bridging the Semantic Gap between Qualitative and Quantitative Models of Distributed Systems., OOPSLA 2022, ACM (CCF-A,,PDF)
Ming Hu, Min Zhang, Frederic Mallet, Xin Fu, Mingsong Chen Accelerating Reinforcement Learning-based CCSL Specification Synthesis Using Curiosity-Driven Exploration. IEEE Transactions on Computers. (CCF-A,,URL)
Omri Isac, Clark Barrett,,Min Zhang, Guy Katz :, Neural Network Verification with Proof Production. FMCAD 2022, IEEE. (CCF-C,,PDF)
Zhaodi Zhang, Jing Liu,,Min Zhang, Haiying Sun:, Efficient Robustness Verification of the Neural Networks in Smart IoT Devices. The Computer Journal. (CCF-B,,PDF)
Peng Jin, Yang Wang,,Min Zhang*:, Efficient LTL Model Checking of Deep Reinforcement Learning Systems using Policy Extraction. The 34th SEKE, 2022 (CCF-C,,PDF)
Yiting Wu,,Min Zhang*: Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation. The,35th AAAI, pp. 11674-11681, AAAI (CCF-A,,LINK).
Jifeng He, Geguang Pu, Mingsong Chen,,Min Zhang*, Weikai Miao: Toward trustworthy human-cyber-physical systems: Theories, methods, and applications. 70 Years of Excellence,,Science Digest, 54, AAAS
,Ming Hu, Jiepin Ding,,Min Zhang, Frederic Mallet and Mingsong Chen:, Enumeration and Deduction Driven Co-Synthesis of CCSL Specifications Using Reinforcement Learning., The,42th RTSS,,pp. 227-239, IEEE,,2021 (CCF-A)
边寒, 陈小红, 金芝, 张民. 基于环境建模的物联网系统TAP规则生成方法. 软件学报. 2021, 32(4):934-952.,,http://www.jos.org.cn/1000-9825/6224.htm
Xingwu Guo, Wenjie Wan, Zhaodi Zhang, Fu Song, Xuejun Wen,,Min Zhang*:, Eager Falsification For Accelerating Robustness Verification of Deep Neural Networks., The,32nd ISSRE, pp. 345-356, IEEE (CCF-B,,258700a345.pdf)
Yiwei Zhu, Feng Wang, Wenjie Wan,,Min Zhang*: Attack-Guided Efficient Robustness Verification of ReLU Neural Networks, The IJCNN, pp. 1-8, IEEE (CCF-C,,IJCNN2021-YWZ.pdf)
Zhaosen Wen,,Min Zhang*,and Weikai Miao: Fine-Grained Neural Network Abstraction for Efficient Formal Verification,, 33rd SEKE, pp. 144-149, 2021. (CCF-C,,paper071.pdf)
Yi Wang,,Min Zhang*:, Reducing implicit gender biases in software development: does intergroup contact theory work,,, The 28th EFEC/FSE, 580-592, ACM, 2020. (CCF-A,,Distinguished Paper Award Nominee)
Ming Hu,,WenxueDuan,,Min Zhang,,Tongquan,Wei,,Mingsong,Chen:, Quantitative Timing Analysis for Cyber-Physical Systems Using Uncertainty-Aware Scenario-Based Specifications., IEEE Trans.,Comput. Aided Des.,Integr. Circuits Syst.,39(11): 4006-4017, 2020 (CCF-A)
Fei Gao, Frederic Mallet,,Min Zhang*, Mingsong Chen:, Modeling and Verifying Uncertainty-Aware Timing Behaviors using Parametric Logical Time Constraint., Design, Automation and Test in Europe (DATE 2020),,pp. 376-381, IEEE,(CCF-B)
Dongdong An, Jing Liu,,Min Zhang, Xiaohong Chen, Mingsong Chen, Haiying Sun., Uncertainty modeling and runtime verification for autonomous vehicles driving control: A machine learning-based approach,, Journal of Software System, Vol. 167, 2020 （,SCI二区）
Xiaohong Chen, Zhiwei Zhong, Zhi Jin,,Min Zhang*,,Tong Li, Xiang Chen and Tingliang Zhou:, Automating Consistency Verification of Safety Requirements for Railway Interlocking Systems., The,27th RE, IEEE CSP, 2019 (CCF-B,,Best Paper Award Nominee)
Xiaotong Chi,,Min Zhang*, Xiao Xu:, An Algebraic Approach to Modeling and Verifying Policy-Driven Smart Devices in IoT Systems., The,26th APSEC,,(CCF-C, Best Paper Award)
Xiaoran Zhu,,Min Zhang*, Jian Guo, Xin Li, Huibiao Zhu, Jifeng He:, Towards a unified executable formal automobile OS kernel and its applications. IEEE Transactions on Reliability, Vol. 68, No. 3, pp. 1117-1133, 2019. (pdf,,SCI二区)
Si Liu, Peter ,lveczky,,Min Zhang*, Qi Wang and Jose Meseguer:, Automatic Analysis of Consistency Properties of Distributed Transaction Systems in Maude. The,25th TACAS, ETAPS 2019, pp. 40-57, LNCS, Springer, 2019 (CCF-B),
Min Zhang, Fu Song, Frederic Mallet, Xiaohong Chen:, SMT-Based Bounded Schedulability Analysis of the Clock Constraint Specification Language., The 22nd FASE, ETAPS 2019, pp. 61-78, LNCS, Springer, 2019 (CCF-B),
Jiaqi Qian,,Min Zhang*, Yi Wang, Kazuhiro Ogata:, KupC: A Formal Tool for Modeling and Verifying Dynamic Updating of C Programs., The 22nd FASE, ETAPS 2019, pp. 229-305, LNCS, Springer, 2019 (CCF-B),
Ming Hu, Tongquan Wei,,Min Zhang, Frederic Mallet, Mingsong Chen:, Sample-Guided Automated Synthesis for ,CCSL Specifications., The 56th DAC, IEEE CSP, 2019,（CCF-A)
Min Zhang, Ogata Kazuhiro:, From hidden to visible: a unified framework for transforming behavioral theories into rewrite theories., Theoretical Computer Science,, Vol. 722, pp. 52-75, Elsevier, 2018. (link, CCF-B)
Min Zhang, Feng Dai, Frédéric Mallet:, Periodic scheduling for MARTE/CCSL: Theory and practice., Science of Computer Programming, Vol. 154, pp. 42-60, Elsevier, 2018. (PDF, CCF-B)
Yunhui Ying,,Min Zhang*:, SMT-Based Approach to Formal Analysis of CCSL with Tool Support., Ruan Jian Xue Bao/Journal of Software, Vol. 29(6), pp. 1-12, 2018. (in Chinese). (PDF,,中文)
Frederic Mallet,,Min Zhang*:,, Work-in-Progress: From Logical Time Scheduling to Real-Time Scheduling., 39th RTSS, pp. 143-146, IEEE CSP, 2018 (CCF-A),
Wei Tang,,Min Zhang*:, PyReload:,Dynamic,Updating,of,Python,Programs,by,Reloading. 25th APSEC, pp. 229-238, IEEE CSP, 2018 (CCF-C),
Feng Wang,,Fu Song,,Min Zhang, Xiaoran Zhu and Jun Zhang:, KRust: A Formal Executable Semantics of Rust., 12th TASE, pp. 44-51, IEEE CSP, 2018 (CCF-C)
Wanling Xie,,Huibiao Zhu,,Min Zhang,,Gang Lu,,Yucheng Fang:, Formalization and Verification of Mobile Systems Calculus Using the Rewriting Engine Maude., 42nd COMPSAC, pp. 213-218, IEEE CSP, 2018 (CCF-C)
Min Zhang,,Yunhui Ying:, Towards SMT-based LTL Model Checking of Clock Constraint,Specification Language for Real-Time and Embedded Systems (PDF) The,18th,LCTES 2017,,pp. 61-70, ACM, 2017. (CCF-B)
Yuxin Deng,,Min Zhang*, Guoqing Lei:, An Algebraic Approach to Automatic Reasoning for NetKAT based on its Operational Semantics., The 19th ICFEM, pp. 464-480, LNCS,,Springer-Verlag, 2017 (PDF, CCF-C).
Jia She, Xiaoran Zhu,,Min Zhang*:, Algebraic Formalization and Verification of PKMv3 Protocol using Maude The 29th,SEKE,,pp. 167-172,,,2017,,PDF, CCF-C),
Min Zhang, Toshiaki Aoki, Yueying He:, A spiral process of formalization and verification: a case study on verification of the scheduling mechanism of OSEK/VDX.,, The Journal of Information Security and its Applications (JISA), Vol. 31, pp. 41-53, Elsevier, 2016. (PDF, CCF-C)
Kazuhiro Ogata, Thapana Caimanont, and,Min Zhang:,, Formal Modeling and Analysis of Time- and Resource-sensitive Simple Business Processes. The Journal of Information Security and its Applications (JISA), Vol. 31, pp. 23-40, Elsevier, 2016.,,(PDF, CCF-C)
Min Zhang, Frédéric Mallet and Huibiao Zhu:,, An SMT-based Approach to the Formal Analysis of MARTE/CCSL,, 18th ICFEM, LNCS,,Vol. 10009, pp. 433-449,,Springer-Verlag, 2016. (PDF, CCF-C)
Min Zhang, and Frederic Mallet:, An Executable Semantics of Clock Constraint Specification Language and its Applications, The 4th,FTSCS 2015,,CCIS, Vol. 596, Springer, pp. 37-51, 2015 (PDF)
Min Zhang, and Kazuhiro Ogata, and Kokichi Futatsugi:,, Towards a Formal Approach to Modeling and Verifying the Design of Dynamic Software Updates.,, The 22nd APSEC 2015,,pp. 159-166, IEEE CSP (PDF, CCF-C)
Min Zhang, and Toshiaki Aoki: A Spiral Process of Modeling and Verifying the Scheduling Mechanism of OSEK/VDX in OTS/CafeOBJ Method.,, The 2nd DCIT 2015, pp. 159-166, IEEE CSP,
Dung Tuan Ho,,Min Zhang, Kazuhiro Ogata:, Case Studies on Extracting the Characteristics of the Reachable States of State Machines Formalizing Communication Protocols with Inductive Logic Programming., The 25th ILP 2015, pp. 33-47, CEUR
Kazuhiro Ogata, and Thapana Caimanont, and,Min Zhang:, Formal Modeling and Analysis of Time- and Resource-sensitive Simple Business Processes., The 2nd DCIT 2015, pp. 11-20, IEEE CSP (Best Paper Award)
Ha Thi Thu Doan, Wenjie Zhang,,Min Zhang, Kazuhiro Ogata:,, Model Checking Chandy-Lamport Distributed Snapshot Algorithm Revisited,,, The 2nd DCIT 2015, pp. 30-39, IEEE CSP, 2015
Yunja Choi,,Min Zhang, and Kazuhiro Ogata:, Evaluation of Maude as a test generation engine for automotive operating systems The 21st APSEC 2014, IEEE CSP (CCF-C)
Min Zhang, Yunja Choi, Kazuhiro Ogata A Formal Semantics of the OSEK/VDX Standard in K Framework and its Applications 10th WRLA, LNCS 8663, Springer, pp. 280-296, 2014 (Click,here,for details.)
Min Zhang, Kazuhiro Ogata, Kokichi Futatsugi Verifying the Design of Dynamic Software Updating in the OTS/CafeOBJ Method ,Specification, Algebra and Software (SAS), LNCS 8373, pp.560-577, 2014 (,pdf,)
Min Zhang, and Kazuhiro Ogata, and Kokichi Futatsugi:, Formalization and Verification of Behavioral Correctness of Dynamic Software Updates Electronic Notes in Theoretical Computer Science, Vol. 294, pp.11-13,2013
Min Zhang, Kazuhiro Ogata, and Masaki Nakamura., Translation of State Machines from Equational Theories into Rewrite Theories with Tool Support. Special section on formal methods, IEICE Transaction, Vol.E94-D(5), pp.976-988. 2011 (zip file, SCI).
Daniel Gaina,,Min Zhang, Yuki Chiba and Y. Arimoto Constructor-based Inductive Theorem Prover The 5th CALCO, LNCS 8089, pp. 328-333, Springer, 2013
Kazuhiro Ogata and,Min Zhang, A Divide & Conquer Approach to Model Checking of Liveness Properties, The 37th COMPSAC, IEEE CSP, (2013, CCF-C)
Min Zhang, Kazuhiro Ogata, Kokichi Futatsugi:, An Algebraic Approach to Formal Analysis of Dynamic Software Updating Mechanisms, The 19th APSEC, pp.664-673, (2012, CCF-C) [pdf]
Min Zhang, Kazuhiro Ogata:, Invariant-preserved Transformation of State Machines from Equations into Rewrite Rules The 19th APSEC, pp. 551-556, (2012, CCF-C) [pdf]
Min Zhang, Kazuhiro Ogata:, Facilitating the Transformation of State Machines from Equations into Rewrite Rules. (pre-proceedings) The 9th WRLA: 182-197 (2012)
Min Zhang, Kazuhiro Ogata, and Masaki Nakamura., Specification Translation of State Machines from Equational Theories into Rewrite Theories., The 12th ICFEM, LNCS 6447, pp.678-693, Springer-Verlag, 2010 (zip file, CCF-C).
Yi Wang,,Min Zhang, Penalty policies in,professional,software development practice: a multi-method field study., ,In: 32nd ICSE, ACM, pp.39-47, 2010
Min Zhang, and Kazuhiro,Ogata., Modular Implementation of a Translator from Behavioral Specifications to Rewrite Theory Specifications,(Extended Version)., ,JAIST Technical report. IS-RR-2010-002: 1-16, 2009 (pdf).
Min Zhang,,and Kazuhiro Ogata., Modular Implementation of a Translator from Behavioral Specifications to Rewrite Theory Specifications. The 9th QISC, IEEE, pp. 406-411, 2009. (zip file, CCF-C)
Min Zhang, Z. Qi, X. Dong: Executable Specification of P Systems with Active Membranes and its Implementation. Journal of Shanghai Jiaotong University. Vol. 42(10), 2008.
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