Institution · Huawei Technologies (Sweden)
Most cited papers from Huawei Technologies (Sweden)
What are the most cited papers from Huawei Technologies (Sweden)?
The most cited paper from Huawei Technologies (Sweden) is "GhostNet: More Features From Cheap Operations" (Kai Han, Yunhe Wang, Qi Chuan Tian et al., 2020), with 4,770 citations. Next come "CenterNet: Keypoint Triplets for Object Detection" (3,602) and "DeepFM: A Factorization-Machine based Neural Network for CTR Prediction" (2,307).
Showing 50 of 60 papers. Every paper with more than 186 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | GhostNet: More Features From Cheap Operations Kai Han, Yunhe Wang, Qi Chuan Tian et al. | Jun 2020 | 4,770 |
| 2 | CenterNet: Keypoint Triplets for Object Detection Kaiwen Duan, Song Bai, Lingxi Xie et al. | Oct 2019 | 3,602 |
| 3 | DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo, Ruiming Tang, Yunming Ye et al. | 28 Jul 2017 | 2,307 |
| 4 | Uformer: A General U-Shaped Transformer for Image Restoration Zhendong Wang, Xiaodong Cun, Jianmin Bao et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 2,225 |
| 5 | Pre-Trained Image Processing Transformer Hanting Chen, Yunhe Wang, Tianyu Guo et al. | Jun 2021 | 2,104 |
| 6 | TinyBERT: Distilling BERT for Natural Language Understanding Xiaoqi Jiao, Yichun Yin, Lifeng Shang et al. | 2020 | 1,722 |
| 7 | ERNIE: Enhanced Language Representation with Informative Entities Zhengyan Zhang, Xu Han, Zhiyuan Liu et al. | 2019 | 1,440 |
| 8 | On Global Electricity Usage of Communication Technology: Trends to 2030 Anders S. G. Andrae, Tomas Edler · Challenges | 30 Apr 2015 | 1,329 |
| 9 | Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition Maosen Li, Siheng Chen, Xu Chen et al. | Jun 2019 | 1,277 |
| 10 | Deep Modular Co-Attention Networks for Visual Question Answering Yu Zhou, Jun Yu, Yuhao Cui et al. | Jun 2019 | 959 |
| 11 | CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo, Kai Han, Han Wu et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 900 |
| 12 | Modeling Coverage for Neural Machine Translation Zhaopeng Tu, Zhengdong Lu, Yang Liu et al. | 2016 | 659 |
| 13 | Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation Xin Chen, Lingxi Xie, Jun Hui Wu et al. | Oct 2019 | 655 |
| 14 | BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation Hao Chen, Kunyang Sun, Zhi Tian et al. | Jun 2020 | 621 |
| 15 | Revisiting Knowledge Distillation via Label Smoothing Regularization Li Yuan, Francis EH Tay, Guilin Li et al. | Jun 2020 | 554 |
| 16 | Enforcing Geometric Constraints of Virtual Normal for Depth Prediction Wei Yin, Yifan Liu, Chunhua Shen et al. | Oct 2019 | 487 |
| 17 | ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network Yuliang Liu, Hao Chen, Chunhua Shen et al. | Jun 2020 | 464 |
| 18 | Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images Tao Huang, Songjiang Li, Xu Jia et al. | Jun 2021 | 445 |
| 19 | Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations Shuhao Cui, Shuhui Wang, Junbao Zhuo et al. | Jun 2020 | 419 |
| 20 | Adversarial Domain Adaptation with Domain Mixup Minghao Xu, Jian Zhang, Bingbing Ni et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 3 Apr 2020 | 404 |
| 21 | Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang et al. | Jun 2020 | 389 |
| 22 | Variational Convolutional Neural Network Pruning Chenglong Zhao, Bingbing Ni, Jian Zhang et al. | Jun 2019 | 383 |
| 23 | Data-Free Learning of Student Networks Hanting Chen, Yunhe Wang, Chang Xu et al. | Oct 2019 | 376 |
| 24 | SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images Caijing Miao, Lingxi Xie, Fang Hao Wan et al. | Jun 2019 | 357 |
| 25 | DetCo: Unsupervised Contrastive Learning for Object Detection Enze Xie, Jian Ding, Wenhai Wang et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 331 |
| 26 | Multimodal Convolutional Neural Networks for Matching Image and Sentence Lin Ma, Zhengdong Lu, Lifeng Shang et al. | Dec 2015 | 330 |
| 27 | Gradually Vanishing Bridge for Adversarial Domain Adaptation Shuhao Cui, Shuhui Wang, Junbao Zhuo et al. | Jun 2020 | 283 |
| 28 | CARS: Continuous Evolution for Efficient Neural Architecture Search Zhaohui Yang, Yunhe Wang, Xinghao Chen et al. | Jun 2020 | 281 |
| 29 | Attention-Guided Unified Network for Panoptic Segmentation Yanwei Li, Xinze Chen, Zheng Dong Zhu et al. | Jun 2019 | 276 |
| 30 | Global-Local Temporal Representations for Video Person Re-Identification Jianing Li, Shiliang Steven Zhang, Jingdong Wang et al. | Oct 2019 | 274 |
| 31 | Learning to Answer Questions from Image Using Convolutional Neural Network Lin Ma, Zhengdong Lu, Hang Li · Proceedings of the AAAI Conference on Artificial Intelligence | 5 Mar 2016 | 272 |
| 32 | Viewport-adaptive navigable 360-degree video delivery Xavier Corbillon, Gwendal Simon, Alisa Devlic et al. | May 2017 | 272 |
| 33 | Cross-Domain Detection via Graph-Induced Prototype Alignment Minghao Xu, Hang Wang, Bingbing Ni et al. | Jun 2020 | 269 |
| 34 | Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation Zhi Tian, Tong He, Chunhua Shen et al. | Jun 2019 | 267 |
| 35 | Distilling Object Detectors via Decoupled Features Jianyuan Guo, Kai Han, Yunhe Wang et al. | Jun 2021 | 265 |
| 36 | Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning Zhuoran Zheng, Wenqi Ren, Xiaochun Cao et al. | Jun 2021 | 260 |
| 37 | Multimodal Token Fusion for Vision Transformers Yikai Wang, Xinghao Chen, Lele Cao et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 246 |
| 38 | Prompt Distribution Learning Yuning Lu, Jianzhuang Liu, Yonggang Zhang et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 245 |
| 39 | Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification Hang Xu, Author Yao, Zhenguo Li et al. | Oct 2019 | 241 |
| 40 | Memory Augmented Graph Neural Networks for Sequential Recommendation Chen Ma, Liheng Ma, Yingxue Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 3 Apr 2020 | 233 |
| 41 | Knowledge Adaptation for Efficient Semantic Segmentation Tong He, Chunhua Shen, Zhi Tian et al. | Jun 2019 | 231 |
| 42 | Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE Jialun Peng, Dong Liu, Songcen Xu et al. | Jun 2021 | 229 |
| 43 | A Survey on Handover Management: From LTE to NR Muhammad Arabi Tayyab, Xavier Gelabert, Riku Jäntti · IEEE Access | 2019 | 221 |
| 44 | Snapshot Distillation: Teacher-Student Optimization in One Generation Chenglin Yang, Lingxi Xie, Chi Su et al. | Jun 2019 | 221 |
| 45 | Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification Jianyuan Guo, Yuhui Yuan, Lang Huang et al. | Oct 2019 | 218 |
| 46 | Video Super-Resolution With Temporal Group Attention Takashi Isobe, Songjiang Li, Xu Jia et al. | Jun 2020 | 212 |
| 47 | Bridging the Gap between Training and Inference for Neural Machine Translation Wen Zhang, Yang Feng, Fandong Meng et al. | 2019 | 212 |
| 48 | Transfer Learning with Graph Co-Regularization Mingsheng Long, Jianmin Wang, Guiguang Ding et al. · IEEE Transactions on Knowledge and Data Engineering | 19 Jun 2013 | 212 |
| 49 | Pose-Guided Photorealistic Face Rotation Yibo Hu, Xiang Wu, Bing Yu et al. | Jun 2018 | 206 |
| 50 | Indices Matter: Learning to Index for Deep Image Matting Hao Lü, Yutong Dai, Chunhua Shen et al. | Oct 2019 | 205 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.