个人简介
About Me
大家好，我是阳行意，刚刚从新加坡国立大学（NUS）电子工程学院博士毕业，即将于2025年秋季加入香港理工大学（PolyU）数据科学与人工智能系（Department of Data Science and Artificial Intelligence, DSAI）担任助理教授，并获得 “校长青年学者”（Presidential Young Scholar） 计划支持。 I am Xingyi Yang. I will be joining The Hong Kong Polytechnic University (PolyU) as an Assistant Professor in the Department of Data Science and Artificial Intelligence (DSAI) in Fall 2025, supported by the Presidential Young Scholar Scheme. I recently obtained my Ph.D. from the National University of Singapore (NUS).
我计划组建并领导一个专注于前沿人工智能的研究团队，核心方向包括生成式人工智能（GenAI）、多模态学习（Multimodal Learning）、高效人工智能（Efficient AI）以及智能体系统（Agentic AI）。现拟招收若干 2026年春/秋季 入学的博士生，同时欢迎更早加入的访问学生、研究助理（RA）和博士后。诚邀对上述方向充满热情的同学和研究人员加入！ I am establishing a new research group dedicated to cutting-edge AI, with a focus on Generative AI, Multimodal Learning, Efficient AI, and Agentic AI. I am looking for passionate Ph.D. students for Spring/Fall 2026 admission, as well as visiting students, RAs, and Postdocs.
教育背景
Educational Background
在此之前，我在新加坡国立大学攻读博士学位，师从Prof. Xinchao Wang。在博士期间，我曾赴牛津大学（University of Oxford）访问交流，与英国皇家工程院院士 Prof. Philip Torr 合作研究。我本科毕业于东南大学计算机学院，随后在加州大学圣地亚哥分校（UC San Diego）获得电子与计算机工程硕士学位。 I completed my Ph.D. at NUS, advised by Prof. Xinchao Wang. During my PhD, I was a visiting researcher at the University of Oxford, collaborating with Prof. Philip Torr (Fellow of the Royal Academy of Engineering). I received my B.Eng. from Southeast University and my M.S. from UC San Diego.
研究与荣誉
Research & Honors
我的研究聚焦于生成式 AI、多模态学习与高效学习，及其在 3D/4D 视觉与物理世界建模中的交叉应用。相关成果已发表在 NeurIPS、ICML、ICLR、CVPR、ICCV、ECCV 等人工智能与计算机视觉领域的顶级会议与期刊，并获得 NeurIPS 2022 最佳论文提名奖、2023 国家优秀自费留学生奖学金、2024 世界人工智能大会青年优秀论文提名奖、百度奖学金 Finalist 等多项荣誉。 My research focuses on Generative AI, Multimodal Learning, and Efficient AI, particularly their application to 3D/4D vision and physical world modeling. My work has been published in top-tier venues, including NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV, and has received several honors, such as the NeurIPS 2022 Best Paper Honorable Mention and the 2023 Chinese Government Award for Outstanding Self-Financed Students Abroad.
💡 研究方向 💡 Research Interests
选择一个长期且有意义的研究方向并不容易。我希望我们的研究能聚焦于人工智能的核心问题，努力构建更聪明、更高效、更能理解和交互物理世界的AI系统。主要方向包括： Our research aims to tackle fundamental challenges in AI by building smarter and more efficient systems that can understand and interact with the physical world. Key directions include:
- 生成式人工智能（Generative AI）：研究结构化生成模型（如扩散模型、LLM），及其在内容生成、场景建模与理解中的应用。 Generative AI: Investigating structured generative models (e.g., Diffusion Models, LLMs) for content creation, scene modeling, and understanding.
- 多模态学习（Multimodal Learning）：融合文本、图像、视频与3D数据，构建能理解、生成并与物理世界交互的智能系统。 Multimodal Learning: Fusing text, image, video, and 3D data to build intelligent systems that can perceive and interact with the physical world.
- 高效人工智能（Efficient AI）：关注模型计算效率、参数/能耗优化，以及预训练大模型的压缩、适配与重用。 Efficient AI: Focusing on the computational efficiency, optimization, and adaptation of large pre-trained models.
- 智能体系统（Agentic AI）：探索可感知、规划、协作的AI Agent，通过模块化与组合性设计实现复杂任务的自主完成。 Agentic AI: Exploring agents that can perceive, plan, and collaborate to autonomously solve complex tasks.
这些方向互为支撑：🤖 生成模型提供通用模型能力，🌐 多模态扩展其对现实世界的理解，⚡ 高效学习确保模型实用落地，🧠 最终构建出具备自主行为与反馈能力的智能体系统。 These areas are interrelated: 🤖 generative models provide general capabilities, 🌐 multimodal learning enhances understanding of the real world, ⚡ efficient AI ensures practical deployment, and 🧠 agentic systems enable autonomous behavior and feedback.
如果你有其他感兴趣的、有潜力的新方向，也欢迎和我交流探讨，我始终对此保持开放态度。 I am always open to discussing new and exciting research ideas.
✨ 我能为你提供什么？ ✨ What We Offer
- 长期、稳健的科研指导与陪伴： 我会与你一起深入思考研究问题，帮助你稳步成长为有独立思考和创新能力的研究者。无论你处在科研的哪个阶段，我都会认真负责地给予支持与反馈。 Close and Consistent Mentorship: I am committed to working closely with each student, providing guidance and support to help them become independent and innovative researchers.
- 充足的资源保障： 我将为你提供稳定的科研经费、计算资源（如GPU集群）、国际会议支持等，确保你能专注于研究而不被琐事分心。 Full Financial and Resource Support: We provide stable research funding, access to computational resources (including a GPU cluster), and support for attending international conferences.
- 丰富的合作与发展机会： 我会积极推荐你参与与NUS、Oxford、UCSD等学术机构，以及华为、Meta、字节等公司的合作项目与实习交流，拓宽你的视野与影响力。 Collaboration and Networking Opportunities: I actively connect students with collaboration and internship opportunities at top institutions (e.g., NUS, Oxford, UCSD) and leading companies (e.g., Huawei, Meta, ByteDance).
📝 招生要求 📝 Who We Are Looking For
我们欢迎对科研有真正热情、主动性强、有思考力和执行力的同学或研究人员加入团队。希望你具备以下部分或全部特点： We are looking for highly motivated candidates who are passionate about research and have strong analytical and problem-solving skills. Ideal candidates will have:
- 对上述一个或多个研究方向有浓厚兴趣，并乐于探索未知问题； A strong interest in one or more of our research areas and a desire to tackle challenging problems.
- 拥有计算机科学、人工智能、电子工程、数学、统计或相关学科的扎实背景； A solid background in CS, AI, EE, Mathematics, Statistics, or related fields.
- 具备良好的编程和工程能力，拥有良好的英文读写和沟通能力； Strong programming skills and proficiency in English.
- 博士后申请者： 已获得或即将获得博士学位，并在相关领域有高水平成果发表； For Postdoc Applicants: A Ph.D. degree (or will be receiving one soon) with a strong publication record.
- 博士申请者： 有科研经历或已发表高质量论文者优先考虑。 For PhD Applicants: Prior research experience and publications are a plus.
如果你有其他值得我了解的情况或优势，也欢迎一并说明。我相信：君子不器。 I value diverse skill sets and intellectual curiosity beyond a narrow specialty. Feel free to highlight any other strengths in your application.
🗓️ 招生时间与申请方式 🗓️ Timelines & How to Apply
我目前计划招收 2–3 名 2026 年春季或秋季入学的博士生 (Ph.D.)。春季入学申请的截止日期是 9 月 30 日。学校也支持联合培养或双学位博士项目。如果你条件优秀，也非常欢迎申请 香港博士奖学金（HKPFS），我会提供所需帮助。 I plan to recruit 2–3 Ph.D. students for Spring/Fall 2026 admission. The deadline for Spring admission is September 30th. Outstanding candidates are strongly encouraged to apply for the Hong Kong PhD Fellowship Scheme (HKPFS), for which I will provide full support.
我预计招收 1–2 位博士后（Postdoc）和研究助理（RA），岗位常年开放，薪资优厚，入职时间可灵活协商。 I am also looking for 1–2 Postdocs and RAs. These positions are open year-round with competitive salaries and flexible start dates.
此外，我希望为本科生或在读硕士提供科研培养机会。欢迎有兴趣的同学申请科研实习（主要针对2026年春季或夏季，也欢迎其他时间段的实习咨询）。 Research internship opportunities are available for undergraduate and master's students, primarily for Spring/Summer 2026.
请将您的个人简历 (CV)、以及其他您认为相关的材料（如代表性论文、项目作品集等）发送至我的邮箱：x3yang@outlook.com。邮件标题请注明：“[申请职位类型] Application - [您的姓名]”（例如：“PhD Application - 张三”）。邮件中可以简单介绍一下自己的 Motivation，说明你为什么对我们的课题感兴趣。 To apply, please send your CV and any relevant materials (e.g., publications, portfolio) to x3yang@outlook.com. Use the subject line: "[Position] Application - [Your Name]" (e.g., "PhD Application - Jane Doe"). Please include a brief statement of interest in your email.
✍️ 写在最后 ✍️ A Final Word
感谢你耐心读到这里。我知道，选择导师和课题组是学术生涯中重要的决定，背后凝聚着你的热情与期待。对我而言，组建团队也是一次全新的启航。我希望我们能建立的是开放、真诚、彼此支持的科研关系，一起探索、一起成长。 Thank you for your interest. Choosing a supervisor is a significant decision, and for me, building this team is a new and exciting journey. My goal is to foster an open, collaborative, and supportive environment where we can explore new ideas and grow together.
由于我正处于建组初期，事务繁忙，可能无法第一时间回复每一封邮件。但我向你保证，每一份申请材料我都会认真阅读、慎重考虑，因为这关乎你的未来，也关乎我们团队的未来。 As I am in the early stages of forming the group, I may not be able to reply to every email immediately. However, I assure you that I will review every application carefully.
期待你的加入，也期待我们能一起把那些有趣的想法变成现实。 I look forward to hearing from you and hope we can turn exciting ideas into reality together.