個(gè)人簡(jiǎn)介：
吳煒濱，必贏3003no1線路檢測(cè)中心“百人計(jì)劃”助理教授，碩士生導(dǎo)師，中國(guó)計(jì)算機(jī)學(xué)會(huì)軟件工程專業(yè)委員會(huì)執(zhí)行委員。2021年于香港中文大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)系獲得博士學(xué)位，師從ACM/IEEE/AAAS Fellow 呂榮聰教授與IEEE Fellow 金國(guó)慶教授。2017年于同濟(jì)大學(xué)電子與信息工程學(xué)院獲得學(xué)士學(xué)位。主要研究方向包括可信人工智能、深度學(xué)習(xí)、計(jì)算機(jī)視覺(jué)、自然語(yǔ)言處理、智能軟件工程等，重點(diǎn)關(guān)注深度學(xué)習(xí)（智能軟件）的可靠性、安全性、可解釋性與隱私性。主持或參與國(guó)家自然科學(xué)基金、香港研資局、深圳科創(chuàng)委等多個(gè)基金項(xiàng)目。為多個(gè)國(guó)際頂級(jí)會(huì)議和期刊的審稿人，如AAAI、ICLR、ICCV、ECCV、ACL、EMNLP、TKDE等。近年來(lái)在NeurIPS、CVPR、FSE等人工智能、計(jì)算機(jī)視覺(jué)、軟件工程領(lǐng)域的頂級(jí)會(huì)議上發(fā)表論文16篇。
研究與招生：
每年招收推免或統(tǒng)考的碩士研究生。招生方向包括但不限于可信人工智能（Trustworthy Artificial Intelligence）、深度學(xué)習(xí)（Deep Learning）、計(jì)算機(jī)視覺(jué)（Computer Vision）、對(duì)抗學(xué)習(xí)（Adversarial Learning）、自然語(yǔ)言處理（Natural Language Processing）、智能軟件測(cè)試（Intelligent Software Testing）、智能軟件安全（Intelligent Software Security）、智能軟件工程（Intelligent Software Engineering）等。
歡迎有意向加入必贏3003no1線路檢測(cè)中心讀研的同學(xué)，以及學(xué)有余力，且有志于參與科研的必贏3003no1線路檢測(cè)中心本科生同學(xué)與我聯(lián)系。
課題組快訊：
- 熱烈祝賀課題組的本科生吳翰同學(xué)、區(qū)冠彥同學(xué)的學(xué)術(shù)論文被人工智能領(lǐng)域的CCF A類國(guó)際頂會(huì)CVPR 2024接收！
- 熱烈祝賀課題組的本科生鄧陽(yáng)同學(xué)在大三年級(jí)首次投稿的學(xué)術(shù)論文被人工智能領(lǐng)域的CCF A類國(guó)際頂會(huì)NeurIPS 2023接收！
課題組學(xué)生去向：
- 美國(guó)普渡大學(xué)：區(qū)同學(xué)（全獎(jiǎng)直博）
- 瑞典查爾姆斯理工大學(xué)：吳同學(xué)（碩士，Avancez Scholarship）
- 香港城市大學(xué)：李同學(xué)（碩士）
- 北京大學(xué)：鄧同學(xué)（碩士）
郵箱：
@mail.sysu.edu.cn
教學(xué)活動(dòng)：
SSE205 計(jì)算機(jī)組成原理 本科生專業(yè)必修課
SSE207 計(jì)算機(jī)組成原理實(shí)驗(yàn) 本科生專業(yè)必修課
SSE5203 軟件分析及質(zhì)量保證 研究生專業(yè)必修課
獲獎(jiǎng)榮譽(yù)：
Nominee, Schmidt Science Fellows, U.K., 2021
DSN Student Travel Award, U.S., 2019
Certificates of Merit for Teaching Assistants, CUHK, 2019
Talent Development Scholarship, Hong Kong, 2018
本科生國(guó)家獎(jiǎng)學(xué)金, China, 2016, 2015, 2014
學(xué)術(shù)服務(wù)：
Invited Session Chair: AAAI 2023
Session Chair：Causality and Explainable AI (ICONIP 2020)
會(huì)議期刊審稿人：
NeurIPS（CCF A類），AAAI（CCF A類），CVPR（CCF A類），ICCV（CCF A類），ACL（CCF A類）；
TPAMI（中科院一區(qū)），TNNLS（中科院一區(qū)），TIP（中科院一區(qū)），TKDE（CCF A類）
主要科研項(xiàng)目：
2023 - 2025：（主持）國(guó)家自然科學(xué)基金青年科學(xué)基金項(xiàng)目
代表性學(xué)術(shù)成果：
[FSE 24] Y. Huang, Y. Li, W. Wu (通訊作者), J. Zhang, M. R. Lyu, "Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials," ACM International Conference on the Foundations of Software Engineering, 2024. (CCF A類會(huì)議)
[CVPR 24] H. Wu*, G. Ou*, W. Wu (通訊作者), Z. Zheng, "Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement," IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024. (CCF A類會(huì)議)
[AAAI 24] J. Zhang, Y. Huang, Z. Xu, W. Wu (通訊作者), M. R. Lyu, "Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection," AAAI Conference on Artificial Intelligence, 2024. (CCF A類會(huì)議)
[AAAI 24] J. Zhang, W. Gu, Y. Huang, Z. Jiang, W. Wu (通訊作者), M. R. Lyu, "Curvature-Invariant Adversarial Attacks for 3D Point Clouds," AAAI Conference on Artificial Intelligence, 2024. (CCF A類會(huì)議)
[NeurIPS 23] Y. Deng, W. Wu (通訊作者), J. Zhang, Z. Zheng, "Blurred-Dilated Method for Adversarial Attacks," Conference on Neural Information Processing Systems, 2023. (CCF A類會(huì)議)
[IJCAI 23] J. Zhang, Y. Huang, W. Wu (通訊作者), M. R. Lyu, "Towards Semantics- and Domain-Aware Adversarial Attacks," International Joint Conference on Artificial Intelligence, 2023. (CCF A類會(huì)議)
[ISSTA 23] W. Wang, J. Huang, C. Chen, J. Gu, J. Zhang, W. Wu, P. He, M. R. Lyu, "Validating Multimedia Content Moderation Software via Semantic Fusion," ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023. (CCF A類會(huì)議)
[CVPR 23] J. Zhang, Y. Huang, W. Wu (通訊作者), M. R. Lyu, "Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization," IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023. (CCF A類會(huì)議)
[CVPR 23] J. Zhang, J.-T. Huang, W. Wang, Y. Li, W. Wu (通訊作者), X. Wang, Y. Su, M. R. Lyu, "Improving the Transferability of Adversarial Samples by Path-Augmented Method," IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023. (CCF A類會(huì)議)
[ICSE 23] W. Wu, J. Zhang, V. J. Wei, X. Chen, Z. Zheng, I. King, and M. R. Lyu, "Practical and Efficient Model Extraction of Sentiment Analysis APIs," IEEE/ACM International Conference on Software Engineering, 2023. (CCF A類會(huì)議)
[ICSE 23] W. Wang, J.-T. Huang, W. Wu, J. Zhang, Y. Huang, S. Li, P. He, and M. R. Lyu, "MTTM: Metamorphic Testing for Textual Content Moderation Software," IEEE/ACM International Conference on Software Engineering, 2023. (CCF A類會(huì)議)
[AAAI 23] Z. Li, W. Wu, Y. Su, Z. Zheng, and M. R. Lyu, "CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning," AAAI Conference on Artificial Intelligence, 2023. (CCF A類會(huì)議, Oral Presentation)
[CVPR 22] J. Zhang, W. Wu (通訊作者), J.-T. Huang, Y. Huang, W. Wang, Y. Su, and M. R. Lyu, "Improving Adversarial Transferability via Neuron Attribution-Based Attacks," IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022. (CCF A類會(huì)議)
[CVPR 21] W. Wu, Y. Su, M. R. Lyu, and I. King, "Improving the Transferability of Adversarial Samples with Adversarial Transformations," IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021. (CCF A類會(huì)議)
[CVPR 20] W. Wu, Y. Su, X. Chen, S. Zhao, I. King, M. R. Lyu, and Y. W. Tai, "Boosting the Transferability of Adversarial Samples via Attention," IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020. (CCF A類會(huì)議)
[CVPR 20] W. Wu, Y. Su, X. Chen, S. Zhao, I. King, M. R. Lyu, and Y. W. Tai, "Towards Global Explanations of Convolutional Neural Networks with Concept Attribution," IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020. (CCF A類會(huì)議, Oral Presentation)
[DSN 19] W. Wu, H. Xu, S. Zhong, M. R. Lyu, and I. King, "Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks," IEEE/IFIP International Conference on Dependable Systems and Networks, 2019. (CCF B類會(huì)議)
[DSN-W 19] H. Xu, Z. Chen, W. Wu, Z. Jin, S.-Y. Kuo, and M. R. Lyu, "NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming," IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2019. (EI)
[ROBIO 16] W. Wu, D. Wang, T. Wang, and M. Liu, "A Personalized Limb Rehabilitation Training System for Stroke Patients," IEEE International Conference on Robotics and Biomimetics, 2016. (EI)
