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个人简介

教育经历 2011.10-2017.04 慕尼黑工业大学 人工智能 2008.09-2011.03 上海交通大学 模式识别与智能系统 2004.09-2008.07 北京交通大学 自动化

研究领域

基础理论 几何机器学习,复杂环境几何建图,流形上的动力学建模与运动规划,几何优化 应用方向 1 机器人与智能车的几何地图构建,3D点云建模,感知决策一体化; 2 分子结构的几何结构解析、动力学建模、构效关系预测与几何结构生成,以辅助制药等; 3 几何深度学习的算法轻量化、优化与硬件加速

近期论文

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[J1]Xian Wei, Hao Shen, Martin Kleinsteuber. Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42(12), pp: 3119-3135, 2020. (DOI:10.1109/TPAMI.2019.2921031) [J2]Xian Wei, Yingjie Liu, Xuan Tang, Shui Yu, Mingsong Chen. Integrating Convolution and Sparse Coding for Learning Low-Dimensional Discriminative Image Representations[J]. IEEE Transactions on Neural Network and Learning System, 2024, DOI: 10.1109/TNNLS.2024.3453374 [J3]Xian Wei, Yuanxiang Li, Hao Shen, Xuan Tang, fengxiang wang, Yi Lu Murphey. Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning[J]. IEEE Transactions on Neural Network and Learning System. vol.30(1), pp:175-189, 2019 [J4]Xian Wei, Yuanxiang Li, Hao Shen, Zhongfeng Wang, Dynamical Texture Modeling via Joint Video Dictionary Learning[J]. IEEE Transactions on Image Processing, vol.26(6), pp: 2929 –2943, 2017. [J5]Xian Wei, Yuanxiang Li, Hao Shen, Yi Lu Murphey, Joint Learning Sparsifying Linear Transformation for Low-Resolution Image Synthesis and Recognition[J], Pattern Recognition, vol.66, pp:412-424, 2017. [J6]Yuanzhi Feng, Shing-Ho J. Lin, Xuan Tang, Mu-Yu Wang, Jian-Zhang Zheng, Ziyao He, Zi-Yi Pang,Jian Yang,Ming-Song Chen, Xian Wei(*), Hyperbolic prototype rectification for few-shot 3D point cloud classification[J], Pattern Recognition, Volume 158, DOI: 10.1016/j.patcog.2024.111042, 2024. [J7]Rui Zhang, Feiping Nie, Xuelong Li, Xian Wei, Feature Selection with Multi-view Data: A Survey[J]. Information Fusion, vol.50, pp:158-167, 2019. [J8]Rui Zhang, Feiping Nie, Muhan Guo, Xian Wei, Xuelong Li, Joint Learning of Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information[J], IEEE Transactions on Image Processing, vol.28(5), pp: 215-2162, 2019. [J9]Jinguang Sun, Wanli Wang, Xian Wei(*), Li Fang, Xiaoliang Tang, Yusheng Xu, Hui Yu, Wei Yao, Deep Clustering With Intra-class Distance Constraint for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 59(5), 2021.(10.1109/TGRS.2020.3019313) [J10]Yanhong Fei, Yingjie Liu, Xian Wei(*), Mingsong Chen(*), A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold, ACM computing surveys, 2024 [J11]E Cao, Saira Musa, Mingsong Chen, Tongquan Wei, Xian Wei, Xin Fu, Meikang Qiu. Energy and Reliability-Aware Task Scheduling for Cost Optimization of DVFS-Enabled Cloud Workflows[J]. IEEE Transactions on Cloud Computing, vol.11(2), pp:2127 - 2143, 2023.04. [J12]Yong Wang, Xian Wei(*), Xuan Tang, Hao Shen, Lu Ding. CNN tracking based on data augmentation[J]. Knowledge-Based Systems, Volume 194, 22 April 2020, 105594. (DOI: 10.1016/j.knosys.2020.105594) FJ [J13]zou, yi; Ko, Kohsin; Yang, Jian; liu, YinJie; li, ke; you, xiong; mi, jinpeng; tang, xuan; Chen, Mingsong, Xuan Tang, Xian Wei(*), FuseFormer: A Manifold Metric Fusing Attention for Pedestrian Trajectory Prediction[J], IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), 2025. [J14]Wong Wang, Xian Wei(*), Xuan Tang(*), Hao Shen, Huanlong Zhang. Adaptive Fusion CNN Features for RGBT Object Tracking[J], IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), doi.org/10.1109/TITS.2021.3073046, 2021. [J15]Yong Wang, Xinbin Luo, Lu Ding, Shan Fu and Xian Wei, Detection based visual tracking with convolutional neural network[J], Knowledge-Based Systems, vol.75, pp:62-71, 2019. (DOI: 10.1016/j.knosys. 2019.03.012) [J16]Pu Li, Xian Wei(共同一作), Xuan Tang, Jiawei Deng, Jing Xu, UAV-Assisted Free Space Optical Communication System With Decode-and-Forward Relaying, IEEE Transactions on Vehicular Technology, 10.1109/TVT.2024.3399408,2024 . [J17]Tongtong Zhang, Yuanxiang Li, Xian Wei, rpcPRF: Generalizable MPI Neural Radiance Field for Satellite Camera with Single and Sparse Views[J], IEEE Transactions on Geoscience and Remote Sensing (TGRS), PP(99):1-1, 2024. (Early Access).(10.1109/TGRS.2020.3019313) [J18]Tongtong Zhang, Yu Zhou, Yuanxiang Li, Xian Wei, SatensoRF: Fast Satellite Tensorial Radiance Field for Multi-date Satellite Imagery of Large Size[J], IEEE Transactions on Geoscience and Remote Sensing (TGRS), PP(99):1-1, March 2024. (Early Access).(10.1109/TGRS.2024.3382632) [J19]Tong Wu, Rui Zhang, Ziheng Jiao, Xian Wei, Xuelong Li. Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure[J]. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol.35(1), pp:71-81, 2022 doi.org/10.1109/TKDE.2021.30765212023. [J20]Yutong Ye, Jiepin Ding, Ting Wang, Junlong Zhou, Xian Wei, and Mingsong Chen. FairLight: Fairness-Aware Autonomous Traffic Signal Control with Hierarchical Action Space[J]. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vo.42(8), pp:2434–2446,2023.08. [J21]Yuxuan Zhang, Yuanxiang Li, Xian Wei, Yongsheng Yang, Lei Liu, Yi Lu Murphey, Graph matching for knowledge graph alignment using edge-coloring propagation, Pattern Recognition, pp:109851,vol.144, 2023.12 [J22]Pengyu Zhang, Yingbo Zhou, Ming Hu, Xian Wei, Mingsong Chen,CyclicFL: Efficient Federated Learning with Cyclic Model Pre-Training, Journal of Circuits, Systems and Computers,2025.02.05, pp:2550165 [J23]Wang, Yong and Wei, Xian(*) and Tang, Xuan and Yu, Keping and Luo, Lingkun, RGBT tracking using randomly projected CNN features, Expert Systems with Applications, vol.223,pp:119865, 2023 FJ [J24]Yuxuan Zhang, Yuanxiang Li, Yini Zhang, Yilin Wang, Yongshen Yang, Xian Wei, Jianhua Luo. Missing-edge aware knowledge graph inductive inference through dual graph learning and traversing[J]. Expert Systems with Applications, 2023, vol.213,pp: 118969. [C1]Zhiqiang Wu, Yingjie Liu, Hanlin Dong, Xuan Tang, Jian Yang, Bo Jin, Mingsong Chen, Xian Wei(*), R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection, ICLR 2025 (A类) [C2]Zhiqiang Wu, Zhiqiang_Wu, Yingjie Liu, Licheng Sun, Jian Yang, Hanlin Dong, Shing-Ho J. Lin, Xuan Tang, Jinpeng Mi, Bo Jin,Xian Wei(*), Relaxed Rotational Equivariance via G-Biases in Vision, The 39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025, February 27 – March 4, Philadelphia, USA, 2025. (CCF A 类) [C3]Lingfeng Wen, Xuan Tang, Jian Yang, Mingsong Chen, Xian Wei(*), Hyperbolic Graph Diffusion Model[C], The 38th Annual AAAI Conference on Artificial Intelligence, Feb.20-27, 2024, Vancouver, Canada. AAAI 2024.(CCF A 类) [C4]Yingjie Liu, Xuan Liu, Hui Yu, Xuan Tang, Xian Wei(*). Learning Dictionary for Visual Attention[C]//Advances in Neural Information Processing Systems, New Orleans, Louisiana, United States, NeurIPS 2023.(CCF A 类) [C5]Zhengyu Li, Xuan Tang, Zihao Xu, Xihao Wang, Hui Yu, Mingsong Chen, Xian Wei(*). Geodesic Self-Attention for 3D Point Clouds[C]//Advances in Neural Information Processing Systems, PP:6190-6203,New Orleans, Louisiana, United States, NeurIPS 2022.(CCF A 类) [C6]Xian Wei, Yangyu Xu, Yanhui Huang, Hairong Lv, Hai Lan, Mingsong Chen, Xuan Tang. Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number[C]//European Conference on Computer Vision (ECCV), Springer, Cham, 2022: 690-707. ECCV 2022 (CAAI-A类) [C7]Feng Wang, Guoyizhe Wei, Jinxiang Ou, Qiao Liu, Xian Wei, Hairong Lv, Boost Neural Networks by Checkpoints[C], Thirty-Fifth Conference on Neural Information Processing Systems, NeurIPS 2021.(CCF A 类) [C8]Jianfeng Zhang, Hanlin Dong, Jian Yang, Jiahui Liu, Shibo Huang, Ke Li, Xuan Tang, Xian Wei(*), Xiong You(*), Dual-BEV Nav: Dual-layer BEV-based Heuristic Path Planning for Robotic Navigation in Unstructured Outdoor Environments[C], IEEE International Conference on Robotics and Automation (ICRA), USA, ICRA, 2025.5 (CAAI-A类) [C9]Hongwei Liu∗, Jian Yang∗, Zhengyu Li∗, Ke Li, Jianzhang Zheng, Xihao Wang, Xuan Tang, Mingsong Chen, Xiong You, Xian Wei(*), ProEqBEV: Product Group Equivariant BEV Network in 3D Object Detection of Road Scenes for Autonomous Driving[C],IEEE International Conference on Robotics and Automation (ICRA), Japan, ICRA, 2024.5 (CAAI-A类) [C10]Xihao Wang, Jiaming Lei, Hai Lan, Arafat Al-Jawari, Xian Wei(*), DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving[C], IEEE International Conference on Robotics and Automation (ICRA), May 29 - June 2, 2023, ExCeL London, UK, ICRA, 2023 (CAAI-A类) [C11]Jinpeng Mi, IEEE International Conference on Robotics and Automation (ICRA), USA, ICRA, 2025.5 (CAAI-A类) [C12]Man Zhou , Jie Huang , Keyu Yan , Hu Yu , Xueyang Fu , Aiping Liu , Xian Wei, Feng Zhao. Spatial-Frequency Domain Information Integration for Pan-Sharpening[C]//European Conference on Computer Vision. Springer, Cham, 2022: 274-291. ECCV 2022 (CAAI-A类) [C13]Jun Xia, Ting Wang, Jiepin Ding, Xian Wei, Mingsong Chen, Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation[C], Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, Main Track. pp:1481-1487,July 23-29, Messe Wien, Vienna, Austria,IJCAI,2022.(CCF A 类) [C14]Xian Wei, Hao Shen, Martin Kleinsteuber, Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations[C]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), pp:5268-5277, Las Vegas, Nevada,USA, 2016.(CCF A 类) [C15]Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen, Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination, 30th SIGKDD Conference on Knowledge Discovery and Data Mining, ACM KDD,Barcelona, Spain,25 August–29 August 2024.(CCF A 类) [C16]Ziqi Yao, Lianzhi Li, Mingsong Chen, Xian Wei, Cheng Chen, Approximate Matrix Multiplication over Sliding Windows, 30th SIGKDD Conference on Knowledge Discovery and Data Mining, ACM KDD,Barcelona, Spain,25 August–29 August 2024.(CCF A 类) [C17]Exact Fusion via Feature Distribution Matching for Few-shot Image Generation[C],Yingbo Zhou,Yutong Ye,Pengyu Zhang,Xian Wei,Mingsong Chen,IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2024, June 19 - 21. (CCF A 类) [C18]Model-Contrastive Learning for Backdoor Elimination[C], Y Zhou, Z Yue, Y Ye, P Zhang, X Wei, M Chen, arXiv preprint arXiv:2307.14638, Proceedings of the 31st ACM International Conference on Multimedia, ACM MM,Pages 8869–8880, 2023.10.(CCF A 类) [C19]Yanxin Yang, Chentao Jia, DengKe Yan, Ming Hu, Tianlin Li, Xiaofei Xie, Xian Wei, Mingsong Chen, SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification,Advances in Neural Information Processing Systems, NeurIPS 2024. (CCF A 类) [C20]Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Yiyu Shi, Xian Wei, Mingsong Chen, WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks, Advances in Neural Information Processing Systems, NeurIPS 2024. (CCF A 类) [C21]Ziqi Yao, Lianzhi Li, Mingsong Chen, Xian Wei, Cheng Chen, Approximate Matrix Multiplication over Sliding Windows, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp:3896-3906, 2024.08.25. (CCF A 类) [C22]Kexin Ke, Jian Yang, Yingjie Liu, Mingsong Chen, Xian Wei, Xuan Tang. Social LODE: Human Trajectory Prediction with Latent ODEs[C]//2024 International Conference on Acoustics, Speech and Signal Processing (ICASSP). [C23]Y Zhou, Z Yue, Y Ye, P Zhang, X Wei, M Chen, EqGAN: Reformation-based Feature Equalization Fusion for Few-shot Image Generation, IEEE International Conference on Acoustics, Speech and Signal Processing, 2025 (ICASSP). [C24]P Zhang, Y Liu, Y Zhou, M Hu, X Wei, M Chen, CE-FFT: Communication-Efficient Federated Fine-Tuning for Large Language Models via Quantization and In-Context Learning, IEEE International Conference on Acoustics, Speech and Signal Processing, 2025 (ICASSP ). [C25]Y Zhou, P Zhang, Y Ye, Z Yue, X Wei, M Chen, FiTGAN: Content Fusion with Style Transformation for Few-shot Image Generation, IEEE International Conference on Acoustics, Speech and Signal Processing, 2025 (ICASSP). [C26]Xian Wei, Hao Shen, Martin Kleinsteuber, An adaptive dictionary learning approach for modeling dynamical textures[C], The 39th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). pp:3567–3571, 2014.

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