Yue Wu(武越)

Yue Wu(武越)

Professor
Senior Member, IEEE
To:ywu[at]xidian.edu.cn
Cc:ywu0912[at]outlook.com

Biography

Yue Wu, Professor, Ph.D. Supervisor at the School of Computer Science and Technology, Xidian University, Shaanxi Youth Science and Technology New Star, IEEE/CCF/CAAI Senior Member, Secretary-General of the CAAI Youth Committee, Executive Member of CCF Xi’an, Chair of CCF YOCSEF Xi’an, Secretary-General of CCF Xi’an Branch. His research interests include computational intelligence and 3D computer vision.

He received the B.Eng. and Ph.D. degrees from Xidian University, Xi’an, China, in 2011 and 2016, respectively. He is currently a Professor with Xidian University and the deputy director of the Key Laboratory of Collaborative Intelligent Systems of the Ministry of Education. He has published over 50 papers as the first/corresponding author in SCI A1 or CCF-A journals/conference, and 12 papers have been selected as ESI highly cited papers, which have been cited over 5,300 times. He is selected for Stanford University Top 2% Scientists List (2022-2025). He has applied and authorized over 50 patents. He is leading or has completed more than 20 projects as the principal investigator, including National Natural Science Foundation of China (Key Program, General Program, Youth Program), Natural Science Basic Research Program of Shaanxi (General Program, Youth Program), China Postdoctoral Foundation (Special Foundation, General Program), SAST Fund, and the CAAI-Huawei MindSpore Academic Fund. He has won over 10 academic awards as the first principal investigator, including Second Prize for Science and Technology Award of Shaanxi Province, Outstanding Youth Award of Wu Wenjun AI Science & Technology, Youth Science and Technology Star of Shaanxi Province, and Huawei Spark Award. He serves as the Secretary-General of the Youth Committee of the CAAI, the Chair of CCF YOCSEF Xi’an, and the Secretary-General of the CCF Xi’an Branch. He is also the Associate Editor for IEEE Transactions on Evolutionary Computation, Expert Systems with Applications, IEEE Transactions on Emerging Topics in Computational Intelligence, and the Editorial Board Member for CAAI Transactions on Intelligence Technology and Frontiers of Computer Science.

Education Experience:

  • 2007.09-2011.06      Bachelor, School of Electronic Engineering, Xidian University
  • 2011.08-2016.06      Ph.D (advised by Professor Maoguo Gong), School of Electronic Engineering, Xidian University

Working Experience:

  • 2016.09-2019.06      Lecturer, School of Computer Science and Technology, Xidian University
  • 2019.06-2024.11      Associate Professor, School of Computer Science and Technology, Xidian University
  • 2024.11-Present      Professor, School of Computer Science and Technology, Xidian University

Research Interests

  • Computational Intelligence Theory and Applications (Evolutionary computation, Machine Learning, Neural Networks etc.)
  • 3D Computer Vision (Point Cloud Understanding, Registration, Detection, Tracking, Reconstruction etc.)
  • Image Processing and Pattern Recognition

Awards

  • Science and Technology Award of Shaanxi Province, Second Prize, 2023（1/6）
  • Award of Wu Wenjun AI Science & Technology, Outstanding Youth, 2023（1/1）
  • Youth Science and Technology Star of Shaanxi Province, 2023（1/1）
  • ACM China (Xi’an), Rising Star Award, 2020. （1/1）
  • AAAI2024 Outstanding Paper Award, 2024（5/6）
  • Huawei Spark Award, 2022（1/1）
  • Shaanxi Provincial Institute of Electronics Science and Technology Award for Natural Science, Second Prize, 2022（1/4）
  • The 7th National Youth Artificial Intelligence Innovation and Entrepreneurship Conference, First prize, 2022（1/6）
  • Shaanxi Innovation and Entrepreneurship Competition For Scientific and Technical Professionals, Gold Award, 2018（2/6）
  • The 6th Asian Conference on Artificial Intelligence Technology, Best paper, 2022（1/6）
  • The 15th International Conference on Computational Intelligence and Security, Best student paper, 2019（4/5）
  • The 5th China High Resolution Earth Observation Conference, Best paper, 2018（2/5）
  • Huawei MindSpore Open Source Community Excellence, Mentorship Award, 2023（1/1）
  • Outstanding Association Worker of the CAAI, 2020（1/1）

Publications

  • Jiaming Liu, Yue Wu*, Qiguang Miao, Maoguo Gong, Linghe Kong, Revisiting Siamese-Based 3D Single Object Tracking with a Versatile Transformer, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.(CCF A) [Paper]
  • Maoguo Gong, Yuan Gao, Yue Wu, Yuanqiao Zhang, A. K. Qin, Yew Soon Ong, Heterogeneous Multi-Party Learning with Data-Driven Network Sampling, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.(CCF A, IF=18.6) [Paper]
  • Yongzhe Yuan, Yue Wu*, Maoguo Gong, Qiguang Miao, A. K. Qin, One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025. (IF=8.9) [Paper]
  • Yue Wu, Yue Zhang, Wenping Ma, Maoguo Gong, Xiaolong Fan, Mingyang Zhang, A. K. Qin, Qiguang Miao, RORNet: Partial-to-Partial Registration Network with Reliable Overlapping Representations, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.(IF=8.9) [Paper] [Code]
  • Wenping Ma, Mingyu Yue, Yue Wu*, Yongzhe Yuan, Hao Zhu, Biao Hou, Licheng Jiao, Explore the Influence of Shallow Information on Point Cloud Registration, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.(IF=8.9) [Paper]
  • Yue Wu, Jiaheng Li, Yongzhe Yuan, A. K. Qin, Qiguang Miao, Maoguo Gong Commonality Autoencoder: Learning Common Features for Change Detection from Heterogeneous Images, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. (IF=8.9) [Paper] [Code]
  • Yue Wu, Chuang Luo, Maoguo Gong, Hangqi Ding, Jinlong Sheng, Qiguang Miao, Hao Li, Wenping Ma, Hao He, Multi-Task Multi-Scale Feature Selection for Point Cloud Registration Evolution, IEEE Transactions on Evolutionary Computation (TEVC), 2025. (IF=12) [Paper] [Code]
  • Yue Wu, Jinlong Sheng, Hangqi Ding, Peiran Gong, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao, Evolutionary Multitasking Descriptor Optimization for Point Cloud Registration, IEEE Transactions on Evolutionary Computation (TEVC), 2024.(IF=12) [Paper] [Code]
  • Yue Wu, Hangqi Ding, Maoguo Gong, A. K. Qin, Wenping Ma, Qiguang Miao, Kay Chen Tan, Evolutionary Multiform Optimization with Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration, IEEE Transactions on Evolutionary Computation (TEVC), 2024.(IF=12) [Paper] [Code]
  • Zedong Tang, Maoguo Gong, Yue Wu, Wenfeng Liu, Yu Xie, Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace, IEEE Transactions on Evolutionary Computation (TEVC), 2021.(IF=12) [Paper]
  • Yongzhe Yuan, Yue Wu*, Xiaolong Fan, Maoguo Gong, Wenping Ma, Qiguang Miao, EGST: Enhanced Geometric Structure Transformer for Point Cloud Registration, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023.(CCF A) [Paper]
  • Zedong Tang, Maoguo Gong, Yue Wu, A. K. Qin, Kay Chen Tan, A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System, IEEE Transactions on Cybernetics (TCYB), 2022.(IF=10.5) [Paper]
  • Yue Wu, Jiaming Liu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Joint Semantic Segmentation Using Representations of LiDAR Point Clouds and Camera Images, Information Fusion (INFFUS), 2024.(IF=15.5) [Paper]
  • Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li, Maximizing Mutual Information Across Feature and Topology Views for Representing Graphs, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.(CCF A) [Paper]
  • Xiaolong Fan, Maoguo Gong, Yue Wu, A. K. Qin, Yu Xie, Propagation Enhanced Neural Message Passing for Graph Representation Learning, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.(CCF A) [Paper]
  • 武越, 苑咏哲, 岳铭煜, 公茂果, 李豪, 张明阳, 马文萍, 苗启广, 点云配准中多维度信息融合的特征挖掘方法, 计算机研究与发展 , 2022. [Paper]
  • 武越, 白壮飞, 公茂果, 曲博艺婷, 李豪, 张明阳, 马文萍, 苗启广, 遥感图像配准中的群智汇聚方法, 中国科学 , 2023. [Paper]
  • Yue Wu, Jun Jiang, Yongzhe Yuan, Maoguo Gong, Qiguang Miao, Hao Li, Mingyang Zhang, PointTruss: K-Truss for Point Cloud Registration, Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.(CCF A) [Paper]
  • Yue Wu, Xidao Hu, Yongzhe Yuan, Xiaolong Fan, Maoguo Gong, Hao Li, Mingyang Zhang, Qiguang Miao, Wenping Ma, PointMC: Multi-instance Point Cloud Registration Based on Maximal Cliques, International Conference on Machine Learning (ICML), 2024.(CCF A) [Paper]
  • Tengfei Xiao, Yue Wu*, Yuelong Li, Can Qin, Maoguo Gong, Qiguang Miao, Wenping Ma, Disentangled Pose and Appearance Guidance for Multi-Pose Generation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.(CCF A) [Paper]
  • Yongzhe Yuan, Yue Wu*, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma, Inlier Confidence Calibration for Point Cloud Registration, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.(CCF A) [Paper] [Code]
  • Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang, SKFAC: Training Neural Networks with Faster Kronecker-factored Approximate Curvature, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.(CCF A) [Paper]
  • Yue Wu*, Zhigang Gao, Yongzhe Yuan, Can Qin, Tengfei Xiao, Hao Li, Kaiyuan Feng, Wenping Ma, Hybrid Vector-Occupancy Field for Robust Implicit 3D Surface Reconstruction, AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF A)
  • Tengfei Xiao, Yue Wu*, Zhigang Gao, Yongzhe Yuan, Can Qin, Hao Li, Mingyang Zhang, DcSplat: Dual-Constraint Human Gaussian Splatting with Latent Multi-View Consistency, AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF A)
  • Yue Wu*, Zhipeng Wang, Yongzhe Yuan, Maoguo Gong, Hao Li, Mingyang Zhang, Wenping Ma, Qiguang Miao, MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency, AAAI Conference on Artificial Intelligence (AAAI), 2025.(CCF A) [Paper]
  • Yue Zhang, Yue Wu*, Wenping Ma, Maoguo Gong, Hao Li, Biao Hou, Partial Point Cloud Registration with Multi-view 2D Image Learning, AAAI Conference on Artificial Intelligence (AAAI), 2025.(CCF A) [Paper]
  • Yongzhe Yuan, Yue Wu*, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma, Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration, AAAI Conference on Artificial Intelligence (AAAI), 2025.(CCF A) [Paper]
  • Cai Xu, Jiajun Si, Ziyu Guan, Wei Zhao, Yue Wu, Xiyue Gao, Reliable Conflictive Multi-View Learning, AAAI Conference on Artificial Intelligence (AAAI, Outstanding Paper), 2024.(CCF A) [Paper] [Code]
  • Jiaming Liu, Yue Wu*, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can Qin M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking, AAAI Conference on Artificial Intelligence (AAAI), 2024.(CCF A) [Paper] [Code]
  • Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu, Neural Gaussian Similarity Modeling for Differential Graph Structure Learning, AAAI Conference on Artificial Intelligence (AAAI), 2024.(CCF A) [Paper]
  • Jiaming Liu, Yue Wu*, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Exploring Dual Representations in Large-Scale Point Clouds: A Simple Weakly Supervised Semantic Segmentation Framework, ACM International Conference on Multimedia (ACM MM), 2023.(CCF A) [Paper] [Code]
  • Cai Xu, Zehui Li, Ziyu Guan, Wei Zhao, Xiangyu Song, Yue Wu, Jianxin Li, Unbalanced Multi-view Deep Learning, ACM International Conference on Multimedia (ACM MM), 2023.(CCF A) [Paper] [Code]

    • Academic Service

    Academic Organizations Serving:

    • The Youth Committee Secretary-General of the CAAI (2022-present)
    • The Chairperson of CCF YOCSEF Xi'an (2021-2022)
    • The Secretary-General of the CCF Xi'an Branch (2020-2022)
    • IEEE Senior Member (2024-present)
    • The Member of the Committee on 3D Vision of the China Society for Image and Graphics (2022-present)

    Academic Journals Serving:

    • Associate Editor of IEEE Transactions on Evolutionary Computation (IF: 12, SCI A1 TOP) (2024-present)
    • Associate Editor of Expert Systems with Applications (IF: 7.5, SCI A1 TOP) (2024-present)
    • Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence (IF: 6.5) (2024-present)
    • Editorial Board Member of Frontiers of Computer Science (CCF B) (2022-present)
    • Editorial Board Member of CAAI Transactions on Intelligence Technology (IF: 7.3, SCI A1 TOP) (2022-present)
    • Special Issue Editor of Remote Sensing (SCI A2) (2022-present)

    Academic Conferences Serving:

    • PC Member for the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
    • PC Member for the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
    • PC Member for the 37th AAAI Conference on Artificial Intelligence (AAAI 2023)
    • PC Member for the 31st ACM International Conference on Multimedia (ACM MM 2023)
    • TC Member for the 8th IEEE International Conference on Cloud Computing and Intelligent Systems (IEEE CCIS 2022)
    • OC Chair for the 7th IEEE International Conference on Cloud Computing and Intelligent Systems (IEEE CCIS 2021)
    • Registration Chair for the 11th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2016)
    • Vice Chair of Publications for the 6th CCF Conference on Big Data (CCF Big Data 2018)

    Team Members

    PhD Students:


    Master Students:

    • Master of 2022: Junhao Wang, Junyang Sun, Tianqing Li, Luyu Chen.
    • Master of 2023: Tianyu Bai, Zhigang Gao, Zhipeng Wang, Rongjie Guo, Changhao Liu, Hongfeng Wu.
    • Master of 2024: Jun Jiang, Hao He, Shunjie Bi, Feng Xiao, Tao Peng, JiaJun Yin, XiangJie He, Yin Zhang.

    Graduated Students:

    • Master of 2022:
        Benhua Xiang(向本华, 研究生国家奖学金), 2022-2025
        Jinlong Sheng(绳金龙, 研究生国家奖学金), 2022-2025
        Jiayi Lei(雷佳熠), 2022-2025
        Congying Hu(胡聪颖), 2022-2025
        Yifan Sun(孙逸帆), 2022-2025
        Zeyu Zhang(章泽宇), 2022-2025
    • Master of 2021:
        Jiaming Liu(刘家铭, 研究生国家奖学金), 2021-2024, 上海交通大学在读博士
        Chuang Luo(罗闯), 2021-2024, 中国航空研究院631所
        Xidao Hu(胡西道, 研究生国家奖学金), 2021-2024, 中国移动通信有限公司西安研究院
        Jiaxin Xing(邢家鑫), 2021-2024, 小米科技有限责任公司
    • Master of 2020:
        Yibo Liu(刘怡博, 研究生国家奖学金), 2020-2023, 北京旷视科技有限公司
        Qianlin Yao(姚乾林), 2020-2023, 深圳镭神智能系统有限公司
        Mingyu Yue(岳铭煜), 2020-2023, 国家电网英大泰和财产保险股份有限公司
        Yejian Cheng(程叶剑), 2020-2023, 中国航空研究院631所
        Jinsheng Liu(刘金生), 2020-2023, 华为技术有限公司
    • Master of 2019:
        Zhenglei Xiao(肖郑磊), 中兴通讯股份有限公司
        Qiuyue Gao(高秋月), 北京百度网讯科技有限公司
        Zhuangfei Bai(白壮飞, 研究生国家奖学金), 华为技术有限公司
        Junwei Liu(刘君威, 研究生国家奖学金), 航天三院体系总体部
        Chenzhuo Zhu(朱晨卓), 华为技术有限公司
    • Master of 2018:
        Hongyu Lu(陆洪玉), 2018-2021, 山东大学网络安全学院在读博士
        Hang Zhang(张航), 2018-2021, 中原银行股份有限公司
        Chenjie Wang(王晨杰, 优秀学生干部), 2018-2021, 北京字节跳动科技有限公司
        Peirong Zhang(张佩荣), 2018-2021, 中兴通讯股份有限公司
    • Master of 2017:
        Guifeng Mu(慕贵峰), 2017-2020, 中国电信股份有限公司榆林分公司
        Simei Liu(刘思美), 2017-2020, 成都航昇机电有限责任公司

    Enrollment Informations:

    I recruit 4-7 graduate students and 3-5 undergraduates annually in the field of Computer Science and Technology (top 0.1% in ESI). Students who are interested in artificial intelligence theory and applications, computational intelligence, 3D vision, machine learning, deep learning, and computer vision are welcome to contact and inquire. Additionally, my research team has several openings for graduate students. You are welcome to join us!

    Team Lab Research Profile

    Three-dimensional visual channel is one of the important ways for human brain to obtain information. Three-dimensional vision technology, which is centered on scene analysis and perception and understanding in three-dimensional space, is one of the important research directions of the new generation of artificial intelligence frontiers. We live in three-dimensional space, so how to intelligently perceive and explore the external environment has been a hot topic. Two-dimensional vision technology has achieved beyond human cognition with the help of powerful computer vision and deep learning algorithms, but three-dimensional vision still faces problems such as algorithmic modeling and environment dependence, and has been at the forefront of ongoing research. However, 3D information can reflect the state of objects and environment more realistically and is closer to human perception mode. In recent years, our lab team has been developing rapidly based on the Key Laboratory of Collaborative Intelligent Systems of the Ministry of Education, Xidian University. Based on the core technology of artificial intelligence, the team has launched scientific research in the field of 3D vision, focusing on solving its core problems such as scene analysis, semantic understanding, and collaborative optimization. In the process, the team has achieved a series of scientific research results with international influence. Our team publishes more than 20 papers every year in top international journals and conferences, such as IEEE TNNLS, IEEE TVCG, IEEE TEVC, AAAI, ACM MM, CVPR.

    We Are Looking For Students Who:

    • Have a profound interest in Artificial Intelligence, enjoy conducting in-depth research, and are motivated by more than just the acquisition of a diploma or degree.
    • Are determined to pursue scientific research work after graduation.
    • Exhibit a spirit of exploration and are not discouraged by challenges
    • Possess strong English language skills.
    • Physically and mentally healthy and active.
    • Are mature thinkers with ideals and aspirations.

    How and When to Apply:

    • If you are ready to take your passion for computer science to the next level, please reach out to us for more information and to express your interest. Contact us at ywu[at]xidian.edu.cn to learn more about the application process and how you can become a part of our thriving research team.
    • If you are eligible for guaranteed research, we recommend that you start contacting us in June to July of the second semester of your junior year. We will conduct an assessment in July-August to ensure that you will be able to join our research team. Please note that due to the large number of applicants each year, places for exempted postgraduate students are usually booked out by early August. Therefore, we strongly recommend that you contact us as early as possible to avoid missing out on valuable opportunities. For students interested in pursuing a PhD degree, we usually finalize the list of students who will enroll in September of the following year by November. Given the limited number of places available, we recommend that you prepare well in advance and contact us as early as possible to increase the success rate of your application. We look forward to your joining us and growing with you!

    Work Environment:

    Our lab is dedicated to creating a superior academic environment with ample computing resources for each member. We have a number of high-performance graphics servers, including RTX 4090 and RTX 3090 and other advanced equipment, ensuring that each team member can use two high-performance graphics cards per person. We are confident that these computing resources will provide you with strong support for your research and study, and help you make excellent progress on your path of academic exploration.