Mining User Behavior and Similarity in Location-Based Social Networks. - Zhiqiang Zou; Xingyu Xie; Chao Sha (PAAP, 2015)

Automatic Modeling of Urban Facades from Raw LiDAR Point Data. - Jun Wang 039; Yabin Xu; Oussama Remil; Xingyu Xie; Nan Ye; Cheng Yi; Mingqiang Wei (Comput. Graph. Forum, 2016)

Surface reconstruction with data-driven exemplar priors. - Oussama Remil; Qian Xie 001; Xingyu Xie; Kai Xu 004; Jun Wang 039 (Comput. Aided Des., 2017)

Data-Driven Sparse Priors of 3D Shapes. - Oussama Remil; Qian Xie 001; Xingyu Xie; Kai Xu 004; Jun Wang 039 (Comput. Graph. Forum, 2017)

Substrate integrated waveguide cavity-backed slot antenna for X-band imaging applications. - Mohamed A. Abou-Khousa; K. T. Muhammed Shafi; Xingyu Xie (I2MTC, 2018)

Redundancy-resistant Generative Hashing for Image Retrieval. - Changying Du; Xingyu Xie; Changde Du; Hao Wang 005 (IJCAI, 2018)

Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching. - Changying Du; Changde Du; Xingyu Xie; Chen Zhang 003; Hao Wang 005 (KDD, 2018)

Enhancing the Impression on Cities: Mining Relations of Attractions with Geo-Tagged Photos. - Zhiqiang Zou; Xu He; Xingyu Xie; Qunying Huang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

t-Schatten-p Norm for Low-Rank Tensor Recovery. - Hao Kong; Xingyu Xie; Zhouchen Lin (IEEE J. Sel. Top. Signal Process., 2018)

High-Resolution UHF Near-Field Imaging Probe. - Mohamed A. Abou-Khousa; K. T. Muhammed Shafi; Xingyu Xie (IEEE Trans. Instrum. Meas., 2018)

Implicit Block Diagonal Low-Rank Representation. - Xingyu Xie; Xianglin Guo; Guangcan Liu; Jun Wang 039 (IEEE Trans. Image Process., 2018)

Differentiable Linearized ADMM. - Xingyu Xie; Jianlong Wu; Guangcan Liu; Zhisheng Zhong; Zhouchen Lin (ICML, 2019)

Neural Ordinary Differential Equations with Envolutionary Weights. - Lingshen He; Xingyu Xie; Zhouchen Lin (PRCV (1), 2019)

Matrix recovery with implicitly low-rank data. - Xingyu Xie; Jianlong Wu; Guangcan Liu; Jun Wang 039 (Neurocomputing, 2019)

Robust Low-rank subspace segmentation with finite mixture noise. - Xianglin Guo; Xingyu Xie; Guangcan Liu; Mingqiang Wei; Jun Wang 039 (Pattern Recognit., 2019)

Wideband Substrate-Integrated Cavity-Backed Elliptical Slot for Microwave Synthetic Aperture Imaging. - Xingyu Xie; Mohamed A. Abou-Khousa (IEEE Trans. Instrum. Meas., 2019)

Mesh Denoising Guided by Patch Normal Co-Filtering via Kernel Low-Rank Recovery. - Mingqiang Wei; Jin Huang; Xingyu Xie; Ligang Liu 001; Jun Wang 039; Jing Qin 001 (IEEE Trans. Vis. Comput. Graph., 2019)

Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. - Jianlong Wu; Xingyu Xie; Liqiang Nie; Zhouchen Lin; Hongbin Zha (AAAI, 2020)

Maximum-and-Concatenation Networks. - Xingyu Xie; Hao Kong; Jianlong Wu; Wayne Zhang 001; Guangcan Liu; Zhouchen Lin (ICML, 2020)

NormalF-Net: Normal Filtering Neural Network for Feature-preserving Mesh Denoising. - Zhiqi Li 002; Yingkui Zhang; Yidan Feng; Xingyu Xie; Qiong Wang 001; Mingqiang Wei; Pheng-Ann Heng (Comput. Aided Des., 2020)

Multi-Patch Collaborative Point Cloud Denoising via Low-Rank Recovery with Graph Constraint. - Honghua Chen; Mingqiang Wei; Yangxing Sun; Xingyu Xie; Jun Wang 039 (IEEE Trans. Vis. Comput. Graph., 2020)

Optimization Induced Equilibrium Networks. - Xingyu Xie; Qiuhao Wang; Zenan Ling; Xia Li 005; Yisen Wang 001; Guangcan Liu; Zhouchen Lin (CoRR, 2021)

Prob-CLR: A probabilistic approach to learn discriminative representation. - Xingyu Xie; Minjuan Zhu; Yan Wang 015; Lei Zhang 005 (Knowl. Based Syst., 2021)

Design of Painting Art Style Rendering System Based on Convolutional Neural Network. - Xingyu Xie; Bin Lv (Sci. Program., 2021)

High Quality Segmentation for Ultra High-resolution Images. - Tiancheng Shen; Yuechen Zhang; Lu Qi; Jason Kuen; Xingyu Xie; Jianlong Wu; Zhe Lin 001; Jiaya Jia (CVPR, 2022)

Optimization inspired Multi-Branch Equilibrium Models. - Mingjie Li 007; Yisen Wang 001; Xingyu Xie; Zhouchen Lin (ICLR, 2022)

Mastery: Shifted-Code-Aware Structured Merging. - Fengmin Zhu; Xingyu Xie; Dongyu Feng; Na Meng 001; Fei He 001 (SETTA, 2022)

Global Convergence of Over-parameterized Deep Equilibrium Models. - Zenan Ling; Xingyu Xie; Qiuhao Wang; Zongpeng Zhang; Zhouchen Lin (AISTATS, 2023)

Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms. - Pan Zhou 002; Xingyu Xie; Shuicheng Yan (ICLR, 2023)

EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation. - Shanghua Gao; Zhijie Lin 001; Xingyu Xie; Pan Zhou 002; Ming-Ming Cheng; Shuicheng Yan (ACM Multimedia, 2023)

Task-Robust Pre-Training for Worst-Case Downstream Adaptation. - Jianghui Wang; Yang Chen; Xingyu Xie; Cong Fang 001; Zhouchen Lin (NeurIPS, 2023)

Task-Robust Pre-Training for Worst-Case Downstream Adaptation. - Jianghui Wang; Cheng Yang; Xingyu Xie; Cong Fang 001; Zhouchen Lin (CoRR, 2023)

Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models. - Xingyu Xie; Qiuhao Wang; Zenan Ling; Xia Li 005; Guangcan Liu; Zhouchen Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Convolutional Feature Descriptor Selection for Mammogram Classification. - Dong Li; Lei Zhang 005; Jianwei Zhang 016; Xingyu Xie (IEEE J. Biomed. Health Informatics, 2023)

Learning representation via indirect feature decorrelation with bi-vector-based contrastive learning for clustering. - Xingyu Xie; Lei Zhang 005; Yan Wang 015; Zizhou Wang; Yu Hua (Inf. Sci., 2023)

On the methodology of three-way structured merge in version control systems: Top-down, bottom-up, or both. - Fengmin Zhu; Xingyu Xie; Dongyu Feng; Na Meng 001; Fei He 001 (J. Syst. Archit., 2023)

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization. - Jiancong Xiao; Ziniu Li; Xingyu Xie; Emily J. Getzen; Cong Fang 001; Qi Long; Weijie J. Su (CoRR, 2024)

Optimization Hyper-parameter Laws for Large Language Models. - Xingyu Xie; Kuangyu Ding; Shuicheng Yan; Kim-Chuan Toh; Tianwen Wei (CoRR, 2024)

GAuV: A Graph-Based Automated Verification Framework for Perfect Semi-Honest Security of Multiparty Computation Protocols. - Xingyu Xie; Yifei Li; Wei Zhang; Tuowei Wang; Shizhen Xu; Jun Zhu; Yifan Song (IACR Cryptol. ePrint Arch., 2024)

Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training. - Pan Zhou 002; Xingyu Xie; Zhouchen Lin; Kim-Chuan Toh; Shuicheng Yan (J. Mach. Learn. Res., 2024)

SSCNet: learning-based subspace clustering. - Xingyu Xie; Jianlong Wu; Guangcan Liu; Zhouchen Lin (Vis. Intell., 2024)

Towards Understanding Convergence and Generalization of AdamW. - Pan Zhou 002; Xingyu Xie; Zhouchen Lin; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. - Xingyu Xie; Pan Zhou 002; Huan Li 007; Zhouchen Lin; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process. - Hanzhen Zhao; Xingyu Xie; Cong Fang 001; Zhouchen Lin (ICLR, 2025)

GRIFFIN: Effective Token Alignment for Faster Speculative Decoding. - Shijing Hu; Jingyang Li; Xingyu Xie; Zhihui Lu 005; Kim-Chuan Toh; Pan Zhou 002 (CoRR, 2025)

LoCo: Low-Bit Communication Adaptor for Large-Scale Model Training. - Xingyu Xie; Zhijie Lin 001; Kim-Chuan Toh; Pan Zhou 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)