The creator of C++, academician of National Academy of Engineering, ACM and IEEE, is known as "the most influential 20 people in the computer industry in the past 20 years". Bjarne Stroustrup received his PhD in Computer Science from Cambridge University in 1979 and joined Bell Laboratory after graduation, where he invented C++. His research fields include distributed systems, programming languages and software development tools. In 2018, he was awarded the Charles Stark Draper Prize by the National Academy of Engineering, which is known as the Nobel Prize in engineering field. He is currently the managing director of Morgan Stanley Technology Department and visiting professor of Columbia University. Representative works: C++ Programming Language, Design and Evolution of C++ Language.

Mr. Li Jianzhong, Senior Vice President of CSDN, Chief Technologist of Boolan, and Chairman of the Global Machine Learning Technology Conference, has extensive experience and in-depth research on software architecture and product innovation. He has rich experience and in-depth research on software architecture, product innovation, and artificial intelligence. In recent years, he mainly researches on the application of artificial intelligence methodology in the software field based on large language models, and proposes the “ParaShift Cube” for technological innovation, which has attracted a lot of attention from the industry in the related research and speeches.

Expert of the ISO Artificial Intelligence Technical Committee, Chair of the C++ Standard Committee’s Machine Learning Group, and CTO of YetiWare. He also serves as Chair of the C++ Embedded Development Committee (SG14) and the Machine Learning Committee (SG19), as well as Chair of the C++ Evolution Working Group. He is the former Vice President of R&D at Codeplay and former CEO of OpenMP, and currently leads the Canadian Delegation to the C++ Standard Committee. Michael has extensive experience in C++ parallel computing, high-performance computing, and machine learning. He led the development of the C++ heterogeneous programming language (SYCL) standard for GPU application development, as well as OpenCL. He has profound research and insights into the performance optimization of the underlying layers of PyTorch and TensorFlow. His work specifically covers parallel programming, neural networks, computer vision, and autonomous driving. Michael previously served as a Senior Technical Expert at IBM, where he led the development of the IBM XL C++ compiler and XL C compiler.

David Sankel is a Principal Scientist at Adobe and an active member of the C++ Standardization Committee. His experience spans microservice architectures, CAD/CAM, computer graphics, visual programming languages, web applications, computer vision, and cryptography. He is a frequent speaker at C++ conferences and specializes in large-scale software engineering and advanced C++ topics. David’s interests include dependently typed languages, semantic domains, EDSLs, and functional programming. He is the project editor of the C++ Reflection TS, Executive Director of the Boost Foundation, and an author of several C++ proposals including pattern matching and language variants.

John is a world authority on C++ large-scale componentized development methods and processes and currently heads Bloomberg LP's infrastructure development (BDE) division, which develops large-scale, reusable C++ suites.John is also responsible for training and mentoring all technical leaders in Bloomberg Group's software infrastructure team.He is also the founder of Bloomberg Group's BDE/BSL Open source Innovation Library.He is also a senior member of the C++ standards committee working group on the standard library.His representative work large-scale C++ software design is the authoritative work on large-scale software development.

Peter Muldoon has been using C++ professionally since 1991. He has worked in Ireland, England, and the USA across a wide variety of technical and financial domains. Pete spent over 20 years as a consultant before joining Bloomberg, where he has now worked for over 15 years. During his time at Bloomberg, he has led engineering efforts on large-scale, high-reliability systems and contributed to numerous strategic initiatives. Throughout his career, Pete has worked on an expansive range of projects and codebases, giving him deep insight into what works—and what fails—in complex software systems. He’s a strong advocate for applied engineering principles, elegant architectural design, and expressive, maintainable code.

Graduated from Beijing University of Posts and Telecommunications in 2001, majoring in management engineering, and now working in SUSE Labs storage group, he has been an active Linux kernel developer for a long time, and maintainer of bcache subsystem of main Linux kernel. 2010, as the first engineer, he joined and founded Taobao kernel group (predecessor of the current Alibaba kernel team), and left Alibaba to return to SUSE Labs to continue to work on first-line kernel development in 2015. In 2015, he left Alibaba and returned to SUSE Labs to continue to work on first-line kernel development. Before joining Alibaba to set up Taobao kernel team, he worked in Lenovo Research Institute server system research lab, SUSE China R&D Centre and SUSE Labs kernel team, and participated in Linux kernel open source projects such as openIPMI, Ext4, OCFS2, MD raid, bcache, etc. He has also worked with SUSE Labs kernel team and SUSE Labs kernel team in the past.

Dr. Huimin Cui is a Researcher and Doctoral Supervisor at the Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS), and the Founder and CEO of Zhongke Jiahe. She also serves as the Director of the Compiler and Programming Laboratory at ICT, CAS. She has led multiple national-level research projects, including those funded by the National Natural Science Foundation of China, the 973 Program, and the Ministry of Science and Technology’s Key R&D Program. She is the Chief Scientist of a programming project under China’s 2030 New Generation Artificial Intelligence initiative. Dr. Cui has published over 60 papers in top international conferences and journals in the fields of compilers and systems, including ASPLOS, MICRO, PLDI, PPoPP, OSDI, SC, TOCS, TPDS, and TACO.

A senior C/C++ software engineer with 20 years of experience. Early in his career, he contributed to the development of the well-known Chinese open-source software MiniGUI. After joining Xiaomi, he was deeply involved in the development of MIUI, Quick Apps, and the Xiaomi Vela system. He has in-depth knowledge of popular GUI frameworks such as Flutter, LVGL, and MiniGUI, and has extensively studied virtual machine technologies including ART, V8, QuickJS, and WebAssembly.

Incredibuild Chief Evangelist and former CTO Dori Exterman is an expert in software development and product strategy, with 30 years of experience in the industry. As Chief Evangelist of Incredibuild, he is co-leading the technical aspects of Incredibuild's product strategy, vision, and M&A. Before joining Incredibuild, Dori held a variety of technological and product leadership roles at software development companies, with a focus on architecture, performance and advanced technologies. Passionate about productivity, Dori is a frequent writer and speaker on engineering efficiency, DevOps, and technology trends.

Yongwei is a well-known C++ expert in China. He used to be a senior system architect of Intel Asia Pacific Research and Development Center. He has 30 years of experience in C/C++ system-level software development and architecture. He focuses on C/C++ languages (including C++98/C++11/14/17/20), software architecture, performance optimization, design patterns, and code reuse. He has served as a senior technical coach, involving C++, software architecture, security development, open source software and other aspects.

Senior Engineer, primarily responsible for research on intelligent computing power scheduling platforms, AI compilers, and AI chips. He has served as a technical lead and expert at several internet companies, engaging in AI research and development across both foundational technologies and practical applications. His representative achievements include the large-scale deployment of JD Logistics’ drones and autonomous vehicles, as well as the application of large models in short video scenarios at Kuaishou. He holds 13 granted invention patents.

Jinming Ma holds both bachelor's and master's degrees from Harbin Institute of Technology, where he studied under Professors Xiaohua Chen and Kui Yu. He is currently a Young Researcher at the Shanghai Artificial Intelligence Laboratory, specializing in high-performance inference services for large language models (LLMs) and heterogeneous communication library technologies. He led the development of the lab’s heterogeneous communication library, which has been successfully applied to large-scale, cross-domain intelligent computing projects spanning over a thousand kilometers, addressing key communication challenges in distributed training. His related research has been published in top international conferences such as DAC, ICPP, and IISWC, and he holds four invention patents.

Director of Algorithms at the Intelligent Platform Division, JD Retail Group, responsible for the Inference Engine and Services Department and lead of the open-source large model inference engine xLLM. He has participated in the development of multiple deep learning open-source frameworks. His main research areas include large model inference optimization, multimodal large models, and generative recommendation. He has published over ten papers in top conferences and journals, including SC, KDD, MLSYS, AAAI, EMNLP, NAACL, TC, and TPDS.

He has over 10 years of experience in the field of robotics and autonomous driving software systems, having served as an Autonomous Driving R&D Expert at BMW, Director of Software Development at Wincher Tech, and Director of R&D at AgiBot.

Responsible for Tencent Cloud's developer product CodeBuddy, and previously led products such as Cloud Studio and Coding DevOps. He has also served as the product lead and core developer for Teambition, Autodesk BIM, SuccessFactors HCM, Sybase Database, and PowerDesigner. He has extensive industry experience in software architecture design, product management, project engineering management, agile team practices, and AI-driven R\&D efficiency improvement.

Leads the system architecture design of the knowledge-enhanced and code-context engine, exploring the integration of large models in areas such as code generation, semantic retrieval, and adaptive reasoning. Focuses on research in code model training, knowledge augmentation mechanisms, and agent collaboration, with a commitment to advancing intelligent programming technologies and driving their deep adoption in enterprise-level R&D scenarios.

Hongbin Zhang, Postdoctoral Researcher at the Institute of Software, Chinese Academy of Sciences, and a member of the Technical Steering Committee (TSC) of RISC-V International. His main research focuses on multi-level compilation technologies. He has participated in major national research projects in the field of foundational software and initiated and leads the open-source community of the Ruyi Buddy Compiler for AI compilation.

Yinkui is the founder of Xedge.AI, and focused on AI Edge Computing. Senior software and hardware architect. Previously working at Intel for 13 years. He has 10 years of GPU depth optimization technology accumulation, specialised in machine learning, operating system kernel, driver program, software tuning.

Yulong Ao is the Head of AI Framework Development at BAAI, a Postdoctoral Fellow at Peking University, and holds a Ph.D. from the Chinese Academy of Sciences. He currently leads the development of the large-model training and inference framework FlagScale and the unified communication library FlagCX, both key components of the open-source unified AI software stack FlagOS. He pioneered industry-ready solutions for heterogeneous large-model training and inference across diverse compute architectures. His long-term research focuses on distributed systems and performance optimization in artificial intelligence, high-performance computing (HPC), and scientific computing. Previously, he worked at Huawei and Baidu, contributing to core technologies in large-model systems. In 2016, he jointly received China’s first ACM Gordon Bell Award. He has published over ten papers in top international conferences and journals, holds multiple domestic and international patents, and has participated in the formulation of national and international standards for operator interfaces and communication libraries.

Wang Haojie is an Assistant Researcher at the Department of Computer Science, Tsinghua University, and the Intelligent Computing Systems Research Center at Qiyuan Laboratory. His research interests include artificial intelligence systems and high-performance computing. His work has been published in top international conferences and journals such as OSDI, ATC, PPoPP, SC, PLDI, TC, and TPDS. He received the Best Student Paper Award at ICS 2021 and the Second Place Best Paper Award at TPDS 2022. He has been recognized with several honors, including the Tsinghua University Outstanding Doctoral Dissertation Award, Beijing Outstanding Graduate Award, “Shuimu Scholar” of Tsinghua University, Tsinghua University Outstanding Postdoctoral Fellow, and the ACM SIGHPC China Excellent Doctoral Dissertation Award. He has been supported by the National Natural Science Foundation of China (Youth Program) and selected for the Beijing Young Talents Program.

Huang Ning is currently the Head of Product R&D at SiliconHeart Technology (aiXcoder), leading the end-to-end design and development of the aiXcoder intelligent software development system. He graduated from the School of Mathematical Sciences at Peking University and previously led the compiler development of the data-driven programming language “ByLang.” Since then, he has been deeply engaged in the field of “AI + Software Development,” leading teams to develop a variety of general-purpose software engineering agents, including intelligent programming and intelligent testing. He is dedicated to exploring the future of programming languages, program design, and software engineering in the AI era.

Focused on the database field, I have been a core contributor to products such as the Redis-like storage engine Pika, PolarDB MySQL, and RDS MySQL, with long-term experience in database kernel feature development and performance optimization.

Li Yanbo is a Senior Solution Architect at Parasoft Greater China, with more than 10 years of experience in software testing and quality assurance. He is proficient in C/C++ and well-versed in multiple functional safety and cybersecurity standards, including ISO 26262, ISO 21434, EN 50518, and IEC 61508. He excels at applying testing theories to high-demand industries such as finance, automotive, rail transit, embedded systems, and defense. In numerous key industry projects, he has successfully leveraged toolchains such as C/C++test to help clients build C/C++ code quality systems compliant with functional safety certifications. For automotive clients, he integrated C++ testing workflows using environments such as Docker. In the financial sector, he assisted clients in building continuous testing platforms based on Jenkins/TFS, effectively addressing code management challenges caused by team turnover. In the defense and power sectors, he developed customized white-box testing solutions focused on unit test coverage and certification compliance, enhancing code security levels. He has delivered technical talks at events such as the China International Finance Exhibition, automotive academic conferences, and embedded systems forums, demonstrating expertise in C++ testing and software quality assurance and facilitating multiple business collaborations. He is committed to helping clients achieve high-quality software delivery and long-term quality improvement through professional C++ testing methodologies and systematic toolchains.

Shizhu Huang is a Senior Expert and R&D Architect at Tencent Cloud Intelligence, with extensive hands-on experience spanning AI applications to underlying AI infrastructure. He has incubated and developed multiple medium- and large-scale projects at Tencent. He has led the R&D of TencentOS, voice assistants, and conversational AI technologies, supporting the deployment of AI across multiple Tencent product lines. He has also optimized and reinforced the architecture of Qidian Customer Service, Qidian Marketing Cloud, and the TI platform. From the ground up, he helped build the Tencent Cloud Intelligent Agent Platform, deeply empowering industry partners. In 2024, he delivered a specialized session on AI technologies at the Shanghai Society of Mechanical Engineering Annual Conference. He has also contributed to the design and optimization of multiple Tencent Cloud large model technical solutions, achieving industry-leading progress in DeepSeek inference acceleration in 2025.

Joined Alibaba in 2013 and has been working on large model inference development since 2023, responsible for scheduling, distributed architecture, inference processes, and performance optimization of RTP-LLM. RTP-LLM is a widely used inference engine within Alibaba, supporting large model inference across multiple business units including Taobao, Tmall, Xianyu, Cainiao, Amap, Ele.me, AE, and Lazada.

Compiler Optimization Expert at Kuaishou with over six years of experience in C++ development and compiler technology. He specializes in compiler middle- and back-end optimization, intelligent resource allocation under complex constraints, and profile-guided optimizations based on runtime feedback, with a deep understanding of compiler theory and practice. He led the development of China’s first commercially deployed P4 network compiler system, overcoming multiple technical bottlenecks and delivering an efficient compilation solution for network data processing. Actively contributing to the LLVM open-source community, he proposed and implemented an innovative solution to address industry pain points in Propeller optimization—specifically its sensitivity to compiler flag changes and outdated profiles—resulting in significant performance gains for large-scale Kuaishou service projects.

Zhao Yingquan is an Associate Research Fellow and Master’s Supervisor at the School of Cyber Science and Technology, Tianjin University. He received his Ph.D. from Tianjin University in 2025 under the supervision of Professors Chen Junjie and Wang Zan. His main research interests include compiler testing and virtual machine testing. He has proposed a series of program feature-driven testing methods for compiler systems and has discovered numerous previously unknown defects in open-source communities and domestic foundational software. Zhao has published 15 papers in top-tier CCF-A conferences and journals such as ASE, ICSE, ISSTA, TSE, TOSEM, and CCS. He has participated in the National Key R&D Program for Young Scientists and several Huawei-sponsored research projects. He has received the First Prize in the CCF Prototype Competition and was selected for the ChinaSoft 2022 Excellent PhD Student Forum.

Storage System Expert at vivo, primarily responsible for technical research and development of storage systems. With over 10 years of experience in Linux kernel storage development, he has deep expertise in storage system performance optimization.

He is currently working in the Alibaba Cloud Intelligent Basic Software Team, focusing on research and development in the areas of kernel stability and system operations. His work is dedicated to exploring the application of artificial intelligence in kernel crash analysis and advancing intelligent fault diagnosis technologies.

Researcher at the institute with in-depth expertise in large language models, deep learning, natural language processing, full-text search systems, database engines, programming language theory, and formal verification of programs. He is well-versed in custom compiler development, particularly in GCC and LLVM frontends as well as MLIR. He has extensive experience in memory models, security mechanisms, distributed systems, programming methodologies, and software architecture. He previously served as Senior Architect for Firefox Gecko, Chief Architect at the Lambda Foundation, Technical Advisor at PingCap, and Technical Lead at Coreseek.

Yang Ke is a Technical Expert at Approaching AI and a core contributor to the open-source project Mooncake. He earned his Ph.D. from the Institute of High-Performance Computing, Department of Computer Science, Tsinghua University, and his bachelor's degree from Beijing University of Posts and Telecommunications. He was a finalist in the 2013 ACM-ICPC World Finals and has published first-author papers in top systems conferences such as SOSP and ASPLOS. His research interests include distributed systems, parallel computing, and AI infrastructure.

Meya Zhao is a software engineer at Bloomberg, where she works on real-time market data systems in APAC. Meya has led projects related to connectivity and data schema updates for market data feeds. Outside of her team, Meya is an active contributor and leader in the company's internal groups such as the Bloomberg Women in Tech community and the C++ Guild. She has led workshops to introduce technology concepts related to software programming and electrical engineering. Meya earned a master's degree in analytic finance from the Waseda University and dual bachelor's degrees in english linguistics and mathematics from Chinese University of Hong Kong.

Zhenchao Lin is a software engineer at Bloomberg, where he works on real-time market data systems in APAC. He leads a working group focused on improving technical interviews and organizes annual internal C++ coding competitions. Zhenchao also supports APAC hiring and internal mobility initiatives. Zhenchao earned a master's degree in electrical, electronic & information engineering from the University of Tokyo and a bachelor's degree in computer science - computer engineering from Zhejiang University.

Haorong Yang is a software engineer at Bloomberg, where he works on real-time market data systems in APAC. Henry is a participant in an internal working group focused on improving technical interviews. Henry has also contributed to the development of Reflection in C++26 by implementing a feature in Clang for attribute reflection. Henryearned a bachelor's degree in computer graphics from the University of Pennsylvania.