About Me

More Majestic, More Enthusiastic.

I am Zhixu Duan (段之续), an undergraduate at SMEE (School of Mechanical and Electrical Engineering) of UESTC (University of Electronic Science and Technology, China)   , major in mechanical engineering. Now as RA in Center for System Reliability and Safety, China (ReliaLab), advised by Zuoyi Chen and Hong-Zhong Huang. Also RA in EPICLab (Efficient and Precision Intelligent Computing Lab), SAI of SJTU (School of Artificial Intelligence, Shanghai Jiao Tong University)   , advised by Linfeng Zhang.

Feel free to Ask me anything! Always keep a passion for exploring strange fields . Research interests focus on AI4Reliability including but are not limited to zero/few-shot learning, transfer learning, and llm.

🎓Education & Background

● 2025.11–Present, RA at EPICLab, SAI of SJTU
● 2023.12–Present, RA at ReliaLab, UESTC
● 2023.9–2027.9, B.S. at SMEE of UESTC.
● 2020.9–2023.9, In No.1 Middle School of Huairen, Shanxi Province.

🏆Achievements

● National Scholarship in 2025 Top 1.8%  
● National Scholarship in 2024 Top 1.8%  
● Ranked 1/83 in my major🥇 Top 1
● Research/Papers📃

EAAI

🔥𝐏𝐬𝐞𝐮𝐝𝐨-𝐟𝐚𝐮𝐥𝐭 𝐝𝐚𝐭𝐚 𝐞𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐫𝐞𝐥𝐚𝐭𝐢𝐨𝐧 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐟𝐨𝐫 𝐟𝐚𝐮𝐥𝐭 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐥𝐨𝐜𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐭𝐫𝐚𝐢𝐧 𝐭𝐫𝐚𝐧𝐬𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬

⭐First Author published in EAAI (CAS Q1)

TL;DR: A relation network using pseudo-fault data improves train transmission fault detection and localization performance.

SHM

🔥𝐔𝐧𝐢𝐟𝐢𝐞𝐝 𝐇𝐞𝐚𝐥𝐭𝐡 𝐃𝐨𝐦𝐚𝐢𝐧 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐓𝐫𝐚𝐢𝐧 𝐓𝐫𝐚𝐧𝐬𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐅𝐚𝐮𝐥𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐮𝐧𝐝𝐞𝐫 𝐂𝐨𝐦𝐩𝐥𝐞𝐱 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬

⭐Co-first Author (first author of adviser) published in SHM (CAS Q2)

TL;DR: A unified health-domain relation learning approach enhances fault detection under complex operating conditions.

IEEE PHM 2024

🔥𝐏𝐚𝐫𝐚𝐥𝐥𝐞𝐥 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐟𝐨𝐫 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐅𝐚𝐮𝐥𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐋𝐨𝐜𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐓𝐫𝐚𝐢𝐧 𝐓𝐫𝐚𝐧𝐬𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐰𝐢𝐭𝐡 𝐙𝐞𝐫𝐨-𝐟𝐚𝐮𝐥𝐭 𝐒𝐚𝐦𝐩𝐥𝐞

⭐First Author and delivered an oral presentation to IEEE PHM 2024

TL;DR: A PRN model combining RSN and KAN is proposed for train transmission fault detection with few samples, achieving over 98% accuracy and strong generalization.

Minor Revision

🔥𝐃𝐞𝐜𝐨𝐮𝐩𝐥𝐢𝐧𝐠 𝐈𝐧𝐭𝐫𝐢𝐧𝐬𝐢𝐜 𝐅𝐚𝐮𝐥𝐭 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐟𝐫𝐨𝐦 𝐃𝐨𝐦𝐚𝐢𝐧 𝐕𝐚𝐫𝐢𝐚𝐭𝐢𝐨𝐧𝐬 𝐯𝐢𝐚 𝐃𝐨𝐦𝐚𝐢𝐧-𝐀𝐭𝐭𝐫𝐢𝐛𝐮𝐭𝐞 𝐅𝐮𝐬𝐢𝐨𝐧 𝐟𝐨𝐫 𝐔𝐧𝐬𝐞𝐞𝐧-𝐃𝐨𝐦𝐚𝐢𝐧 𝐅𝐚𝐮𝐥𝐭 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬

⭐First Author submitted manuscript to AEI (CAS Q1)

TL;DR: A domain-attribute fusion model decouples intrinsic fault features, improving unseen-domain diagnosis robustness.

Under Review

🔥𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐯𝐞 𝐓𝐞𝐚𝐜𝐡𝐞𝐫-𝐒𝐭𝐮𝐝𝐞𝐧𝐭 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐞𝐝 𝐃𝐨𝐦𝐚𝐢𝐧 𝐀𝐭𝐭𝐚𝐜𝐤𝐬 𝐟𝐨𝐫 𝐂𝐥𝐚𝐬𝐬-𝐈𝐧𝐭𝐫𝐢𝐧𝐬𝐢𝐜 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐌𝐮𝐥𝐭𝐢-𝐃𝐨𝐦𝐚𝐢𝐧 𝐆𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐅𝐚𝐮𝐥𝐭 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬

⭐First Author submitted manuscript to IEEE TII (CAS Q1)

TL;DR: Proposed CTSL(Collaborative Teacher-Student Learning): Simulated Domain Attacks for Class-Intrinsic Feature Learning in Multi-Domain Generalized Fault Diagnosis.

Minor Revision

🔥𝐎𝐩𝐞𝐧-𝐒𝐞𝐭 𝐅𝐚𝐮𝐥𝐭 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬 𝐔𝐬𝐢𝐧𝐠 𝐂𝐋𝐈𝐏 𝐰𝐢𝐭𝐡 𝐅𝐨𝐫𝐰𝐚𝐫𝐝-𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠

⭐Second Author (first author of adviser) minor revision of COMPUT IND (CAS Q1)

TL;DR: A CLIP-based forward–reverse reasoning model enable for fault diagnosis

Under Review

🔥𝐑𝐞𝐢𝐧𝐟𝐨𝐫𝐜𝐢𝐧𝐠 𝐂𝐫𝐨𝐬𝐬-𝐃𝐨𝐦𝐚𝐢𝐧 𝐅𝐞𝐰-𝐒𝐡𝐨𝐭 𝐅𝐚𝐮𝐥𝐭 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬 𝐨𝐟 𝐓𝐫𝐚𝐢𝐧 𝐓𝐫𝐚𝐧𝐬𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐯𝐢𝐚 𝐑𝐞𝐝𝐮𝐜𝐢𝐧𝐠 𝐈𝐧𝐭𝐫𝐚-𝐂𝐥𝐚𝐬𝐬 𝐚𝐧𝐝 𝐌𝐚𝐱𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐈𝐧𝐭𝐞𝐫-𝐂𝐥𝐚𝐬𝐬 𝐕𝐚𝐫𝐢𝐚𝐭𝐢𝐨𝐧𝐬

⭐Second Author submitted manuscript to AEI (CAS Q1)

TL;DR: Proposed Reinforcing Cross-Domain Few-Shot Fault Diagnosis of Train Transmission Systems via Reducing Intra-Class and Maximizing Inter-Class Variations

ICML Submitted

🔥𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲𝐂𝐨𝐝𝐞: 𝐀 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤 𝐟𝐨𝐫 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐂𝐨𝐝𝐞 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧

⭐Contributor submited to ICML2026

TL;DR: A Benchmark for LLM to carry Industry Code Generation

● Second author of 2 invention patent (first author of adviser), accepted for filing.
● Principal leader of a National Innovation and Entrepreneurship Program (College Student Project)

Leadership

● Vice President & Founding Core Member  

UESTC Interdisciplinary Association (IA)
🌐 Independently designed and maintained the association's official website.
🎓 Invited Prof. Dezhong Yao (Founding Dean, School of Life Science and Technology) and brain scientist Prof. Pedro A. Valdes Sosa as advisors.
🔬 Promoting interdisciplinary research in bioinformatics, bioimaging, bioelectronics, and AI for Life Science.

● Student Mentor for SMEE 2025 Freshmen

Mentored freshmen under the guidance of Counselor Keyu Chen

Talks & Reports

● 【SMEE idol】Zhixu Duan:”Take Each Step Steadily, and the Distance Will Unfold” –Interviewed by SMEE of UESTC

● 【UESTC-IA×DP Technology】Uni-Lab Developers’ Offline Workshop –Interviewed by DP Technology

Academic Positions

● 😏A key reader of Nature and a potential contributor to Science.
● 😎Attending major international conferences, and leading the field in tea break self-service acquisition and multimodal collection.