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A Broadband Variable-Gain Low-Noise Amplifier With Low NF and Dual Phase Compensation[J]. IEEE Transactions on Circuits and Systems II: Express Briefs , 2024, 71(9): 4086-4090.；Wang R , Zhu W, Wang Y. An Adaptive Analog Temperature Compensated W-Band Front-End With ±0.0033 dB\u002F°C Gain Variation Across − 30 °C to 120 °C[J]. IEEE Transactions on Circuits and Systems II: Express Briefs , 2024, 71(2): 542-546.；Wang R , Li C, Wang Y. An Improved Through-Only De-Embedding Method for 110-GHz On-Wafer RF Device Characterization[J]. IEEE Microwave and Wireless Components Letters , 2022, 32(10): 1219-1222.；Huang J, Tian Z, Wang R* , Zhang H. A Parasitic-Aware End-to-End Automated Optimization Scheme for mm-Wave Circuits Based on an Offline Passive Library[C]\u002F\u002F 2026 IEEE International Conference on Microwave and Millimeter Wave Technology , 2026: 1-3.；Huang B, Hao Y, Zhang J, Wang R , Zhang H. A 2.16 μW Chopper Amplifier with a Feedforward SAR ADC Assisted Mixed-Signal DC-Servo Loop Achieving ±1V DC Offset Cancellation in 2.1s and 1 Vpp CM Interference Tolerance for Neural Signal Acquisition[C]\u002F\u002F 2025 IEEE Asian Solid-State Circuits Conference (A-SSCC). Daejeon, Korea, Republic of: IEEE , 2025: 361-363.；X Ji, J Zhang, L Zhang, C Zheng, R Wang , X Wang, H Zhang. A Low-Power Light-to-Digital Converter Using Integrating-Capacitor-Reused Pseudo-Differential Frontend for Self-Ambient Light Cancellation[J]. IEEE Transactions on Very Large Scale Integration (VLSI) Systems , 2026.；Zhu W, Zhang J, Wang J, Wang R , Li C, Wang K. A Packaged 90-to-96GHz 16-Element Phased Array with 18.8\u002F15.8dBm Psat\u002FOP1dB, 14.8% TX PAE in 65nm CMOS Process and +51dBm Array EIRP[C]\u002F\u002F 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). Honolulu, HI, USA: IEEE , 2022: 128-129.；Qiu K, Li C, Liu Y, Wang R , Zhang J, Wang Y. A 2-18G Multi-Stage Distributed Amplifier Using Chebyshev Matching Network for Efficiency Enhancement[C]\u002F\u002F2024 IEEE International Symposium on Radio-Frequency Integration Technology. Chengdu, China: IEEE , 2024: 1-3.；Yin S, Hu W, Zhang W, Wang R , Zhang Z, Wang Y. An Efficient Kriging-based Constrained Multi-objective Evolutionary Algorithm for Analog Circuit Synthesis via Self-adaptive Incremental Learning[C]\u002F\u002F 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC). Taipei, Taiwan: IEEE , 2022: 74-79.；Yin S, Hu W, Zhang W, Wang R , Zhang J, Wang Y. An efficient optimization method of RF passive components using RBF model[C]\u002F\u002F 2021 IEEE 14th International Conference on ASIC (ASICON). Kunming, China: IEEE , 2021: 1-4.；Zhang J, Zhu W, Wang D, Yi X, Wang R , Wang Y. A Ka-Band Mutual Coupling Resilient Balanced PA with Magnetic Coupling Self-Cancelling Inductor Achieving 21.2dBm OP 1dB and 27.6% PAE 1dB [C]\u002F\u002F 2023 IEEE Asian Solid-State Circuits Conference (A-SSCC) . Haikou, China: IEEE , 2023: 1-3.；Wang Z, Hu W, Zhou J, Zhang W, Wang R , Zhang J. Building Post-layout Performance Model of Analog\u002FRF Circuits by Fine-tuning Technique[C]\u002F\u002F 2022 23rd International Symposium on Quality Electronic Design (ISQED). Santa Clara, CA, USA: IEEE , 2022: 1-6.；Yin S, Zhang W, Hu W, Wang Z, Wang R , Zhang J, Wang Y. An Efficient Reference-point Based Surrogate-assisted Multi-objective Differential Evolution for Analog\u002FRF Circuit Synthesis[C]\u002F\u002F 2021 IEEE International Symposium on Radio-Frequency Integration Technology. Hualien, Taiwan: IEEE , 2021: 1-3.；Zhang J, Zhai M, Wang D, Liu Y, Yi X, Wang R ,Wang Y. Design of Compact Bidirectional Amplifier Utilizing Transformers-Stacking Technique[J]. IEEE Transactions on Microwave Theory and Techniques , 2025, 73(4): 1951-1963.","【产业方向】半导体","https:\u002F\u002Fgr.xjtu.edu.cn\u002Fwangrt\u002Fzh_CN\u002Findex.htm",[171,70,28,172,100],"CH-06","FU-02",[174,83,37,175,105],"6G","未来信息",{"id":177,"name":178,"orgName":179,"school":180,"gender":44,"title":12,"degree":181,"honor":12,"position":12,"researchDirection":182,"intro":12,"province":183,"completeness":184,"avatarAuthorized":18,"sourceUrl":185,"nameValid":20,"tags":186,"tagNames":188},"9ba3fe05-ec48-4a0d-b72d-147ef02453b7","董枫","网络空间安全学院","华中科技大学","工学博士学位","凭借“工业界+学术界”的双重背景，我与腾讯、绿盟科技（NSFOCUS）、深信服等头部安全企业保持着密切的研究协作。我的研究始终扎根于企业实际安全场景，聚焦解决真实环境中的安全挑战，核心研究方向为网络与系统安全，特别专注于APT攻击检测和漏洞攻防，包括： 下一代检测与响应：涵盖大语言模型（LLM）赋能的高级持续性威胁（APT）攻击检测、安全运营中心（SOC）告警降噪、自主响应智能体等。 终端evasion与防御：包括端点检测与响应（EDR）规避技术评估、EDR攻防智能体之间的对抗博弈等。 漏洞研究：涉及大语言模型赋能的漏洞挖掘、自动化漏洞利用生成（AEG）等。 相关成果概述： 长期聚焦网络与系统安全领域，主攻终端高级威胁攻防对抗、智能化安全检测与防御技术研究。主持 GF 科研纵向（500 万元）、国家自然科学基金面上项目、国家自然科学基金青年项目、湖北省重点研发计划、CCF - 腾讯犀牛鸟基金等9 项国家级、省部级及企业合作项目。在 USENIX Security、ACM CCS、NDSS 等国际顶级会议发表论文 14 篇（一作11篇，CCF-A类8篇）；申请发明专利 30 余项，获授权 7 项；发现微软、WordPress Plugin 等多个主流厂商高危漏洞并获官方致谢。先后荣获华为 OpenHarmony 先锋课题、教育部研究生网安大赛全国一等奖及全国优秀指导教师等奖励。 深耕人才培养，承担《计算机网络安全》、《汇编语言程序设计》等核心课程教学，主讲的《网络安全综合实践》获评 2025 年国家一流本科课程，连续两学期获校教学评估优秀。具备宏观产业视野与政策研究能力，撰写11 篇资政报告获国家与省级部门采纳，其中 1 篇获两位湖北省委常委批示，为国家 AI 安全政策制定提供重要技术支撑。担任《软件学报》、IEEE TIFS 等 CCF-A 类期刊审稿人，CCF网络与系统安全专委会、系统软件专委会执行委员，积极参与领域学术共同体建设","湖北",38,"http:\u002F\u002Ffaculty.hust.edu.cn\u002FDONGFENG\u002Fzh_CN\u002Findex.htm",[97,65,66,22,98,187,68,73,74],"GB-83",[102,78,79,31,103,189,81,86,87],"教育",11,1,30,{"schools":194},297]