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Institution · Baidu (China)

Most cited papers from Baidu (China)

Baidu (China)

What are the most cited papers from Baidu (China)?

The most cited paper from Baidu (China) is "A Comprehensive Survey on Transfer Learning" (Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan et al., 2020), with 6,487 citations. Next come "DETRs Beat YOLOs on Real-time Object Detection" (4,356) and "Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories" (3,069).

Showing 50 of 60 papers. Every paper with more than 409 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 A Comprehensive Survey on Transfer Learning Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan et al. · Proceedings of the IEEE 7 Jul 2020 6,487
2 DETRs Beat YOLOs on Real-time Object Detection Y. Zhao, Wenyu Lv, Shangliang Xu et al. Conference paper 16 Jun 2024 4,356
3 Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories Kyle J Foreman et al. · The Lancet Open access 16 Oct 2018 3,069
4 Generalizing from a Few Examples Yaqing Wang, Quanming Yao, James Tin-Yau Kwok et al. · ACM Computing Surveys 12 Jun 2020 2,782
5 Conditional Random Fields as Recurrent Neural Networks Shuai Zheng, Sadeep Jayasumana, Bernardino Romera‐Paredes et al. Conference paperOpen access Dec 2015 2,450
6 Accelerating Stochastic Gradient Descent using Predictive Variance Reduction Rie Johnson, Tong Zhang 5 Dec 2013 1,905
7 Deep Speech: Scaling up end-to-end speech recognition Hannun, Awni, Case, Carl, Casper, Jared et al. · arXiv (Cornell University) PreprintOpen access 17 Dec 2014 1,519
8 Improving Transferability of Adversarial Examples With Input Diversity Cihang Xie, Zhishuai Zhang, Yuyin Zhou et al. Conference paper Jun 2019 1,278
9 Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He, Ping Liu, Ziwei Wang et al. Conference paperOpen access Jun 2019 1,272
10 CNN-RNN: A Unified Framework for Multi-label Image Classification Jiang Wang, Yi Ping Yang, Junhua Mao et al. Conference paper Jun 2016 1,241
11 Scaling distributed machine learning with the parameter server Mu Li, David G. Andersen, Jun Woo Park et al. · Operating Systems Design and Implementation 6 Oct 2014 1,106
12 Contrastive Adaptation Network for Unsupervised Domain Adaptation Guoliang Kang, Lu Jiang, Yi Ping Yang et al. Conference paper Jun 2019 971
13 Learning from massive noisy labeled data for image classification Tong Xiao, Tian Xia, Yi Yang et al. Conference paper Jun 2015 970
14 A Survey on Knowledge Graph-Based Recommender Systems Qingyu Guo, Fuzhen Zhuang, Chuan Qin et al. · IEEE Transactions on Knowledge and Data Engineering 7 Oct 2020 909
15 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs José Ignacio Orlando et al. · Medical Image Analysis Open access 8 Oct 2019 866
16 Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation Yawei Luo, Liang Zheng, Tao Guan et al. Conference paper Jun 2019 852
17 GA-Net: Guided Aggregation Net for End-To-End Stereo Matching Feihu Zhang, Victor Adrian Prisacariu, Ruigang Yang et al. Conference paper Jun 2019 838
18 Efficient mini-batch training for stochastic optimization Mu Li, Tong Zhang, Yuqiang Chen et al. Conference paper 22 Aug 2014 785
19 ERNIE: Enhanced Representation through Knowledge Integration Yu Sun, Shuohuan Wang, Yukun Li et al. · arXiv (Cornell University) PreprintOpen access 19 Apr 2019 772
20 A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models Wenqi Fan, Yujuan Ding, Liangbo Ning et al. Conference paperOpen access 24 Aug 2024 749
21 ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding Yu Sun, Shuohuan Wang, Yukun Li et al. · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 3 Apr 2020 744
22 Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification Zhun Zhong, Liang Zheng, Zhiming Luo et al. Conference paper Jun 2019 708
23 StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks Han Zhang, Tao Xu, Hongsheng Li et al. Conference paperOpen access Oct 2017 708
24 Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi, Zhengjie Huang, Shikun Feng et al. Conference paperOpen access Aug 2021 697
25 Searching for a Robust Neural Architecture in Four GPU Hours Xuanyi Dong, Yi Ping Yang Conference paperOpen access Jun 2019 694
26 Pose-Guided Feature Alignment for Occluded Person Re-Identification Jiaxu Miao, Yu Wu, Ping Liu et al. Conference paperOpen access Oct 2019 666
27 BMN: Boundary-Matching Network for Temporal Action Proposal Generation Tianwei Lin, Xiao Liu, Xin Li et al. Conference paper Oct 2019 658
28 Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) Junhua Mao, Wei Hong Xu, Yi Yang et al. · arXiv (Cornell University) PreprintOpen access 20 Dec 2014 652
29 A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao, Tong Zhang · SIAM Journal on Optimization 2014 633
30 Explainability for Large Language Models: A Survey Haiyan Zhao, Hanjie Chen, Fan Yang et al. · ACM Transactions on Intelligent Systems and Technology Open access 2 Jan 2024 626
31 Multi-Task Learning for Multiple Language Translation Daxiang Dong, Hua Ren Wu, Wei He et al. Conference paperOpen access 2015 619
32 The ApolloScape Open Dataset for Autonomous Driving and Its Application Xinyu Huang, Peng Wang, Xinjing Cheng et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence Open access 7 Jul 2019 618
33 Geometry-enhanced molecular representation learning for property prediction Xiaomin Fang, Lihang Liu, Jieqiong Lei et al. · Nature Machine Intelligence Open access 7 Feb 2022 615
34 DeePMD-kit v2: A software package for deep potential models Jinzhe Zeng et al. · The Journal of Chemical Physics Open access Aug 2023 604
35 Mutual Information Neural Estimation. Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar et al. · International Conference on Machine Learning Conference paper 3 Jul 2018 593
36 DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis Minfeng Zhu, Pingbo Pan, Wei Chen et al. Conference paper Jun 2019 586
37 Deep Metric Learning with Angular Loss Jian Wang, Feng Zhou, Shilei Wen et al. Conference paper Oct 2017 567
38 Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks Haonan Yu, Jiang Wang, Zhiheng Huang et al. Conference paper Jun 2016 563
39 DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection Haibao Yu, Yizhen Luo, Mao Shu et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Conference paper Jun 2022 557
40 Attentive Feedback Network for Boundary-Aware Salient Object Detection Mengyang Feng, Huchuan Lu, Errui Ding Conference paper Jun 2019 518
41 Seven HCI Grand Challenges Constantine Stephanidis et al. · International Journal of Human-Computer Interaction Open access Jul 2019 517
42 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan et al. Conference paperOpen access180 authors Oct 2019 499
43 Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond Xuhong Li, Haoyi Xiong, Xingjian Li et al. · Knowledge and Information Systems 14 Sep 2022 495
44 Vehicle Detection from 3D Lidar Using Fully Convolutional Network Bo Li, Tianlei Zhang, Tian Xia Conference paperOpen access 27 Jun 2016 491
45 Algorithm for optimized mRNA design improves stability and immunogenicity He Zhang, Liang Zhang, Ang Lin et al. · Nature Open access 2 May 2023 490
46 IoU Loss for 2D/3D Object Detection Dingfu Zhou, Jin Fang, Xibin Song et al. Conference paper Sep 2019 486
47 Quantum majorization and a complete set of entropic conditions for quantum thermodynamics Gilad Gour, David H. Jennings, Francesco Buscemi et al. · Nature Communications Open access 11 Dec 2018 463
48 Droiddetector: android malware characterization and detection using deep learning Zhenlong Yuan, Yongqiang Lü, Yibo Xue · Tsinghua Science & Technology Open access Feb 2016 459
49 Gene expression inference with deep learning Yifei Chen, Yi Li, Rajiv Narayan et al. · Bioinformatics Open access 11 Feb 2016 459
50 TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking Yucheng Wang, Bowen Yu, Yueyang Zhang et al. Conference paperOpen access 2020 453

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.