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我于 2026 年 9 月加入西安电子科技大学,担任华山菁英副教授,加入 高大化 团队。2026 年 6 月获西安交通大学计算机科学与技术博士学位,导师为 刘均 和 张玲玲。2024 年 10 月至 2025 年 10 月,我在新加坡科技研究局 A*STAR 前沿人工智能研究中心(CFAR)访问学习,合作导师为 Basura Fernando 和新加坡国立大学的 Mike Shou。2021 年获西安交通大学计算机科学与技术学士学位,本科期间参加“华为云”人工智能菁英班,并辅修自动化学士学位。

I joined Xidian University as a Huashan Elite Associate Professor in September 2026, working with Dahua Gao. I received my Ph.D. in Computer Science and Technology from Xi'an Jiaotong University in June 2026, advised by Jun Liu and Lingling Zhang. From October 2024 to October 2025, I was a visiting student at the Centre for Frontier AI Research (CFAR), A*STAR, Singapore, mentored by Basura Fernando and Mike Shou from the National University of Singapore. I received my B.Eng. from Xi'an Jiaotong University in 2021, where I participated in the Huawei Cloud AI Elite Class and pursued a minor degree in Automation.

欢迎就相关研究交流与合作,可通过邮件联系我:If you are interested in my research, please get in touch: zhangxinyu01@xidian.edu.cnzhibei1204@gmail.com

办公室:南校区网安大楼 · 人工智能学院 1108Office: Room 1108, School of Artificial Intelligence, Cyber Security Building, South Campus.

招生与科研招募Join Us

研究生招生

招收 2028级硕士研究生(推免 / 统考)。欢迎对我们团队研究方向感兴趣的同学联系我,提前交流研究兴趣与未来规划。博士研究生及2028级之前的硕士研究生招生事宜,请联系高大化老师。

本科生科研招募

欢迎西安电子科技大学本科生加入课题组,一起参与科研探索。希望你具备一定的数学与编程基础,愿意主动学习、动手实践,并持续投入科研工作。有相关项目、竞赛或科研经历的同学,也欢迎在来信中介绍。

在招生与科研招募中,我们更看重同学的自驱力和对科研的热情,期待你能保持好奇,主动提出问题,耐心寻找答案,在交流与实践中逐步形成自己的思考。

有意申请的同学可将个人简历发送至 zhangxinyu01@xidian.edu.cn,并简要介绍自己的学习经历和研究兴趣,欢迎提前联系交流。

期待与志同道合的同学一道,探索通用人工智能与智能无人系统的更多可能。

Graduate Admissions

I am recruiting master's students for 2028 entry through recommendation-based admission or the national entrance examination. If you are interested in our team's research, please get in touch to discuss your research interests and future plans. For Ph.D. applications or master's entry before 2028, please contact Prof. Dahua Gao.

Undergraduate Research

Undergraduates at Xidian University are welcome to join our group and take part in research. We hope you have some foundation in mathematics and programming, are willing to learn proactively and put ideas into practice, and can sustain your commitment to research. If you have relevant project, competition, or research experience, please feel free to share it in your email.

In admissions and research recruitment, we place particular value on self-motivation and enthusiasm for research. We hope you will stay curious, actively ask questions, patiently seek answers, and develop your own thinking through discussion and practice.

Interested applicants can send a CV to zhangxinyu01@xidian.edu.cn, along with a brief introduction to their academic background and research interests. You are welcome to get in touch early.

I look forward to exploring new possibilities in artificial general intelligence and intelligent unmanned systems together with like-minded students.

研究方向Research Interests

大模型的推理、博弈与进化;无人机的感知、通信与导航。Reasoning, game theory and evolution of large language models; perception, communication and navigation of UAVs.

最新动态News

  • 受邀担任 ACL Rolling Review (ARR) 领域主席 (AC)! Invited to serve as an Area Chair (AC) for ACL Rolling Review (ARR)!
  • 一篇论文被 EMNLP 2026 接收,并入选 Oral (~2% 录取率)! One paper is accepted by EMNLP 2026 and selected as Oral (~2% acceptance rate)!
  • 获得 徐宗本应用数学奖! Received the Xu Zongben Applied Mathematics Award!
  • 一篇论文被 自动化学报 接收! One paper is accepted by Acta Automatica Sinica!
  • 三篇论文被 ACL 2026 接收!其中一篇为 Oral (~2% 录取率)! Three papers are accepted by ACL 2026! One is selected as Oral (~2% acceptance rate)!
  • 一篇论文被 CVPR 2026 接收! One paper is accepted by CVPR 2026!
  • 一篇论文被 CVIU 2025 接收! One paper is accepted by CVIU 2025!
  • 一篇论文被 NeurIPS 2025 接收! One paper is accepted by NeurIPS 2025!
  • 一篇论文被 EMNLP 2025 接收! One paper is accepted by EMNLP 2025!
  • 一篇论文被 ACM MM 2025 接收! One paper is accepted by ACM MM 2025!
  • 一篇论文被 ACL 2025 接收! One paper is accepted by ACL 2025!
  • 我在新加坡 A*STAR 开始了为期一年的访问学习。 I start my one-year visiting at A*STAR, Singapore.
  • 一篇论文被 IEEE TIP 2024 接收! One paper is accepted by IEEE TIP 2024!
  • 一篇论文被 IEEE TCSVT 2023 接收! One paper is accepted by IEEE TCSVT 2023!

论文发表Publications [完整列表Full List]

† 通讯作者† Corresponding author

LogicGraph: Benchmarking Multi-Path Logical Reasoning via Neuro-Symbolic Generation and Verification

Yanrui Wu, Lingling Zhang, Xinyu Zhang, Jiayu Chang, Pengyu Li, Xu Jiang, Jingtao Hu, Jun Liu

EMNLP 2026 CCF-B Oral (~2%) [Paper]

面向示意图问答的前瞻性多视角视觉推理框架Towards Proactive Multi-Perspective Visual Reasoning for Diagram Question Answering

张新宇, 吴艳瑞, 张玲玲, 董宇轩, 杨泽晟, 武亚强, 郑庆华Xinyu Zhang, Yanrui Wu, Lingling Zhang, Yuxuan Dong, Zesheng Yang, Yaqiang Wu, Qinghua Zheng

自动化学报 2026Acta Automatica Sinica 2026 CCF-A [Paper]

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving

Xinyu Zhang, Yuchen Wan, Boxuan Zhang, Zesheng Yang, Lingling Zhang, Bifan Wei, Jun Liu

ACL 2026 CCF-A Oral (~2%) [Paper]

OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving

Xinyu Zhang, Boxuan Zhang, Yuchen Wan, Lingling Zhang, YiXing Yao, Bifan Wei, Yaqiang Wu, Jun Liu

ACL 2026 Findings [Paper]

PhysPRM: A Generative Process Reward Model with Fine-grained Diagnosis for Physics Problem Solving

Yuxuan Dong, Xinyu Zhang†, Lingling Zhang, Han Lai, Pengyu Li, Bifan Wei, Yaqiang Wu, Jun Liu

ACL 2026 Findings

Beyond Layer-Wise Merging: Chain-of-Merging for Vision-Language Models

Xinyu Zhang, Yuxuan Dong, Lingling Zhang, Chengyou Jia, Zhuohang Dang, YiXing Yao, Yaqiang Wu, Basura Fernando, Jun Liu

CVPR 2026 CCF-A [Paper]

Correspondence Coverage Matters for Multi-Modal Dataset Distillation

Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xinyu Zhang, Xiaojun Chang, Ivor Tsang

AAAI 2026 CCF-A [Paper]

Encode Geometric Diagram as Geo-Graph in Geometry Problem Solving

Wenjun Wu, Lingling Zhang, Bo Zhao, Bo Li, Xinyu Zhang, Yanrui Wu

AAAI 2026 CCF-A [Paper]

Memory-Enriched Thought-by-Thought Framework for Complex Diagram Question Answering

Xinyu Zhang, Lingling Zhang, Yanrui Wu, Shaowei Wang, Wenjun Wu, Muye Huang, Qianying Wang and Jun Liu

CVIU 2025 CCF-B [Paper]

CoFFT: Chain of Foresight-Focus Thought for Visual Language Models

Xinyu Zhang, Yuxuan Dong, Lingling Zhang, Chengyou Jia, Zhuohang Dang, Basura Fernando, Jun Liu, Mike Zheng Shou

NeurIPS 2025 CCF-A [Paper]

Diagram-driven course questions generation

Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Wenjun Wu, Bo Li, Shaowei Wang, Basura Fernando, Jun Liu

EMNLP 2025 CCF-B [Paper]

Cognitive Predictive Coding Network: Rethinking the Generalization in Raven's Progressive Matrices

Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Jun Liu

ACM MM 2025 CCF-A [Paper]

PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning

Xinyu Zhang, Yuxuan Dong, Yanrui Wu, Jiaxing Huang, Chengyou Jia, Basura Fernando, Mike Zheng Shou, Lingling Zhang, Jun Liu

ACL 2025 CCF-A [Paper]

Evochart: A Benchmark and a Self-Training Approach towards Real-World Chart Understanding

Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu

AAAI 2025 CCF-A [Paper]

VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning

Muye Huang, Lingling Zhang, Han Lai, Wenjun Wu, Xinyu Zhang, Jun Liu

AAAI 2025 CCF-A [Paper]

Cog-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering

Shaowei Wang, Lingling Zhang, Longji Zhu, Tao Qin, Kim-Hui Yap, Xinyu Zhang, Jun Liu

CVPR 2024 CCF-A [Paper]

Alignment Relation is What You Need for Diagram Parsing

Xinyu Zhang, Lingling Zhang, Xin Hu, Jun Liu, Shaowei Wang, Qianying Wang

IEEE TIP 2024 CCF-A [Paper]

Alignment-Guided Self-Supervised Learning for Diagram Question Answering

Shaowei Wang, Lingling Zhang, Wenjun Wu, Tao Qin, Xinyu Zhang, Jun Liu

IEEE TMM 2024 CCF-A [Paper]

RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation

Lingling Zhang, Xinyu Zhang†, Qianying Wang, Wenjun Wu, Xiaojun Chang, Jun Liu

IEEE TCSVT 2023 CCF-B [Paper]

Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention

Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang

IJCAI 2023 CCF-B [Paper]

荣誉与奖项Honors & Awards

  • 徐宗本应用数学奖Xu Zongben Applied Mathematics Award
  • 西安交通大学特等奖学金、比亚迪奖学金XJTU Special Scholarship; BYD Scholarship
  • 西安交通大学特等奖学金、优秀研究生干部XJTU Special Scholarship; Outstanding Graduate Student Cadre
  • 西交大—华为云菁英班奖学金XJTU–Huawei Cloud AI Elite Class Scholarship
  • 美国大学生数学建模竞赛 · 特等奖提名(Finalist)MCM/ICM Contest in Modeling · Finalist
  • Intel 全国并行应用挑战赛 · 全国银奖Intel Parallel Application Challenge · National Silver Award
  • 全国大学生数学建模竞赛 · 国家二等奖Contemporary Undergraduate Mathematical Contest in Modeling · National Second Prize

工作与教育经历Experience & Education

  1. ,华山菁英副教授,西安电子科技大学, Huashan Elite Associate Professor, Xidian University
  2. ,访问学生,A*STAR & 新加坡国立大学, Visiting Student, A*STAR & National University of Singapore
  3. ,计算机科学与技术博士,西安交通大学, Ph.D. in Computer Science and Technology, Xi'an Jiaotong University
  4. ,实习生,西交大—华为云菁英班, Intern, XJTU–Huawei Cloud AI Elite Class
  5. ,计算机科学与技术本科,西安交通大学(辅修自动化), B.Eng. in Computer Science and Technology, Xi'an Jiaotong University (Minor: Automation)

邀请报告Invited Talks

  • · Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving,美国圣地亚哥, San Diego, USA
  • · 多模态思维链范式演进:从显式图像到隐式表征,徐宗本应用数学奖报告,西安交通大学Evolution of Multimodal Chain-of-Thought Paradigm: From Explicit Images to Implicit Representations, Xu Zongben Applied Mathematics Award Talk, Xi'an Jiaotong University

学术服务Professional Services

领域主席Area Chair:

  • ACL Rolling Review (ARR)

会议审稿Conference Reviewer:

  • CVPR, ICCV, ECCV, NeurIPS, AAAI, ICLR, ACL, WWW

期刊审稿Journal Reviewer:

  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

学术组织任职Academic Leadership:

  • 中国计算机学会(CCF)西安交通大学学生分会主席Chair, CCF Xi'an Jiaotong University Student Chapter (2023.11 — 2024.11)