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Rising Stars
2025

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Rising Stars

D-Index
59
Citations
15754
World Ranking
172
National Ranking
56

Computer Science

D-Index
59
Citations
17668
World Ranking
3369
National Ranking
452

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Lingxi Xie is affiliated with Huawei Technologies in China and is an active researcher in the field of computer science with a specific focus on computer vision and pattern recognition. Their work spans a variety of subfields including artificial intelligence, computer graphics, radiology and nuclear medicine imaging, and electrical and electronic engineering.

The primary research topics covered by Lingxi Xie include advanced neural network applications, domain adaptation and few-shot learning, multimodal machine learning applications, advanced image and video retrieval techniques, human pose and action recognition, video surveillance and tracking methods, and anomaly detection techniques and applications.

Lingxi Xie has contributed to a significant number of publications across several prestigious venues. The most frequent publication sources are:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • International Journal of Computer Vision
  • IEEE Transactions on Circuits and Systems for Video Technology

Notable recent papers include:

  • Accurate medium-range global weather forecasting with 3D neural networks, 2023, Nature
  • Conformer: Local Features Coupling Global Representations for Visual Recognition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • VMamba: Visual State Space Model, 2024, arXiv (Cornell University)
  • HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Conformer: Local Features Coupling Global Representations for Recognition and Detection, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent collaborators with whom Lingxi Xie has co-authored multiple papers include Qi Tian, Longhui Wei, Xiaopeng Zhang, and Jiemin Fang. These collaborations indicate a network of research focused on various topics within computer vision and machine learning.

Best Publications

  • CenterNet: Keypoint Triplets for Object Detection

    Kaiwen Duan;Song Bai;Lingxi Xie;Honggang Qi

  • Adversarial Examples for Semantic Segmentation and Object Detection

    Cihang Xie;Jianyu Wang;Zhishuai Zhang;Yuyin Zhou

  • Conformer: Local Features Coupling Global Representations for Visual Recognition

    Zhiliang Peng;Wei Huang;Shanzhi Gu;Lingxi Xie

  • Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation

    Xin Chen;Lingxi Xie;Jun Wu;Qi Tian

  • Genetic CNN

    Lingxi Xie;Alan Yuille

  • PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

    Yuhui Xu;Lingxi Xie;Xiaopeng Zhang;Xin Chen

  • Fast Dynamic Radiance Fields with Time-Aware Neural Voxels

    Unknown

  • SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images

    Caijing Miao;Lingxi Xie;Fang Wan;Chi Su

  • Unsupervised Person Re-Identification via Softened Similarity Learning

    Yutian Lin;Lingxi Xie;Yu Wu;Chenggang Yan

  • A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans

    Yuyin Zhou;Lingxi Xie;Wei Shen;Wei Shen;Yan Wang

  • Attention-Guided Unified Network for Panoptic Segmentation

    Yanwei Li;Xinze Chen;Zheng Zhu;Lingxi Xie

  • DisturbLabel: Regularizing CNN on the Loss Layer

    Lingxi Xie;Jingdong Wang;Zhen Wei;Meng Wang

  • Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation

    Qihang Yu;Lingxi Xie;Yan Wang;Yuyin Zhou

  • Snapshot Distillation: Teacher-Student Optimization in One Generation

    Chenglin Yang;Lingxi Xie;Chi Su;Alan L. Yuille

  • Rethinking the Distribution Gap of Person Re-identification with Camera-Based Batch Normalization

    Zijie Zhuang;Longhui Wei;Longhui Wei;Lingxi Xie;Tianyu Zhang

  • Bottom-Up Temporal Action Localization with Mutual Regularization

    Peisen Zhao;Lingxi Xie;Chen Ju;Ya Zhang

  • Hierarchical Part Matching for Fine-Grained Visual Categorization

    Lingxi Xie;Qi Tian;Richang Hong;Shuicheng Yan

  • Image Classification and Retrieval are ONE

    Lingxi Xie;Richang Hong;Bo Zhang;Qi Tian

  • Conformer: Local Features Coupling Global Representations for Recognition and Detection

    Unknown

  • HiGCIN: Hierarchical Graph-based Cross Inference Network for Group Activity Recognition.

    Rui Yan;Lingxi Xie;Jinhui Tang;Xiangbo Shu

  • Adversarial Attacks Beyond the Image Space

    Xiaohui Zeng;Chenxi Liu;Yu-Siang Wang;Weichao Qiu

  • Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students

    Chenglin Yang;Lingxi Xie;Siyuan Qiao;Alan L. Yuille

  • PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search.

    Yuhui Xu;Lingxi Xie;Xiaopeng Zhang;Xin Chen

Frequent Co-Authors

Qi Tian
Qi Tian Huawei Technologies (China)
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Bo Zhang
Bo Zhang Tsinghua University
Ya Zhang
Ya Zhang Shanghai Jiao Tong University
Jingdong Wang
Jingdong Wang Baidu (China)
Wei Shen
Wei Shen Johns Hopkins University
Qixiang Ye
Qixiang Ye Chinese Academy of Sciences
Wengang Zhou
Wengang Zhou University of Science and Technology of China
Richang Hong
Richang Hong Hefei University of Technology
Song Bai
Song Bai ByteDance

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