Institution · Peng Cheng Laboratory
Most cited papers from Peng Cheng Laboratory
What are the most cited papers from Peng Cheng Laboratory?
The most cited paper from Peng Cheng Laboratory is "A Survey on Multi-Task Learning" (Yu Zhang, Qiang Yang, 2021), with 2,350 citations. Next come "The Roadmap to 6G: AI Empowered Wireless Networks" (2,148) and "Pre-Trained Image Processing Transformer" (2,104).
Showing 50 of 60 papers. Every paper with more than 459 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | A Survey on Multi-Task Learning Yu Zhang, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering | 31 Mar 2021 | 2,350 |
| 2 | The Roadmap to 6G: AI Empowered Wireless Networks Khaled B. Letaief, Wei Chen, Yuanming Shi et al. · Rare & Special e-Zone (The Hong Kong University of Science and Technology) | 2019 | 2,148 |
| 3 | Pre-Trained Image Processing Transformer Hanting Chen, Yunhe Wang, Tianyu Guo et al. | Jun 2021 | 2,104 |
| 4 | Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts Xiaohu You et al. · Science China Information Sciences | 24 Nov 2020 | 2,058 |
| 5 | Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study Qifang Bi et al. · The Lancet Infectious Diseases | 27 Apr 2020 | 2,016 |
| 6 | Second-Order Attention Network for Single Image Super-Resolution Tao Dai, Jianrui Cai, Yongbing Zhang et al. | Jun 2019 | 1,956 |
| 7 | NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding Jun Liu, Amir Shahroudy, Mauricio Pérez et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 14 May 2019 | 1,845 |
| 8 | Fast and accurate long-read assembly with wtdbg2 Jue Ruan, Heng Li · Nature Methods | 9 Dec 2019 | 1,590 |
| 9 | Toward Convolutional Blind Denoising of Real Photographs Shi Zeng Guo, Zifei Yan, Kai Zhang et al. | Jun 2019 | 1,196 |
| 10 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection Jinyuan Liu, Xin Fan, Zhanbo Huang et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 1,171 |
| 11 | Deep learning on image denoising: An overview Chunwei Tian, Lunke Fei, Wenxian Zheng et al. · Neural Networks | 5 Aug 2020 | 1,081 |
| 12 | Toward Fast, Flexible, and Robust Low-Light Image Enhancement Long Ma, Tengyu Ma, Risheng Liu et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 1,063 |
| 13 | Attention on Attention for Image Captioning Lun Huang, Wenmin Wang, Jie Chen et al. | Oct 2019 | 1,026 |
| 14 | Deep Residual Learning for Image Recognition: A Survey Muhammad Faisal Shafiq, Zhaoquan Gu · Applied Sciences | 7 Sep 2022 | 1,021 |
| 15 | FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen, Xin Qin, Jindong Wang et al. · IEEE Intelligent Systems | 22 Apr 2020 | 1,019 |
| 16 | Siamese Box Adaptive Network for Visual Tracking Zedu Chen, Bineng Zhong, Guorong Li et al. | Jun 2020 | 1,016 |
| 17 | Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey Shimin Gong, Xiao Lu, Dinh Thai Hoang et al. · IEEE Communications Surveys & Tutorials | 2020 | 956 |
| 18 | A Survey on Deep Semi-Supervised Learning Xiangli Yang, Zixing Song, Irwin King et al. · IEEE Transactions on Knowledge and Data Engineering | 8 Nov 2022 | 899 |
| 19 | HRank: Filter Pruning Using High-Rank Feature Map Mingbao Lin, Rongrong Ji, Yan Wang et al. | Jun 2020 | 895 |
| 20 | Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction Laila Rasmy, Yang Xiang, Ziqian Xie et al. · npj Digital Medicine | 20 May 2021 | 892 |
| 21 | Multi-Scale Interactive Network for Salient Object Detection Youwei Pang, Xiaoqi Zhao, Lihe Zhang et al. | Jun 2020 | 863 |
| 22 | Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light Risheng Liu, Xin Fan, Ming Bo Zhu et al. · IEEE Transactions on Circuits and Systems for Video Technology | 3 Jan 2020 | 858 |
| 23 | VerifyNet: Secure and Verifiable Federated Learning Guowen Xu, Hongwei Li, Sen Liu et al. · IEEE Transactions on Information Forensics and Security | 17 Jul 2019 | 837 |
| 24 | Conformer: Local Features Coupling Global Representations for Visual Recognition Zhiliang Peng, Wei Feng Huang, Shanzhi Gu et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 824 |
| 25 | Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief, Yuanming Shi, Jianmin Lu et al. · IEEE Journal on Selected Areas in Communications | 8 Nov 2021 | 811 |
| 26 | Adaptive Dynamic Programming for Control: A Survey and Recent Advances Derong Liu, Shan Xue, Bo Zhao et al. · IEEE Transactions on Systems Man and Cybernetics Systems | 24 Dec 2020 | 710 |
| 27 | Single Image Super-Resolution via a Holistic Attention Network Ben Niu, Weilei Wen, Wenqi Ren et al. · Lecture notes in computer science | 2020 | 703 |
| 28 | Attention-guided CNN for image denoising Chunwei Tian, Yong Dong Xu, Zuoyong Li et al. · Neural Networks | 7 Jan 2020 | 691 |
| 29 | Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities Haibo Zhou, Wenchao Xu, Jiacheng Chen et al. · Proceedings of the IEEE | 23 Jan 2020 | 654 |
| 30 | Contrastive Clustering Yunfan Li, Peng Hu, Zitao Liu et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 18 May 2021 | 650 |
| 31 | Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey Zhiqing Wei, Hanyang Qu, Yuan Wang et al. · IEEE Internet of Things Journal | 9 Jan 2023 | 649 |
| 32 | Observation of intrinsic chiral bound states in the continuum Yang Chen, Huachun Deng, Xinbo Sha et al. · Nature | 18 Jan 2023 | 639 |
| 33 | Backdoor Learning: A Survey Yiming Li, Yong Jiang, Zhifeng Li et al. · IEEE Transactions on Neural Networks and Learning Systems | 22 Jun 2022 | 638 |
| 34 | Chiral emission from resonant metasurfaces Xudong Zhang, Yilin Liu, Jiecai Han et al. · Science | 8 Sep 2022 | 620 |
| 35 | Bayesian Loss for Crowd Count Estimation With Point Supervision Zhiheng Ma, Xing Wei, Xiaopeng Hong et al. | Oct 2019 | 608 |
| 36 | Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang, Zhaofei Yu, Yanqi Chen et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 602 |
| 37 | Image denoising using deep CNN with batch renormalization Chunwei Tian, Yong Dong Xu, Wangmeng Zuo · Neural Networks | 5 Sep 2019 | 597 |
| 38 | Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection Jia-Xing Zhong, Nannan Li, Weijie Kong et al. | Jun 2019 | 590 |
| 39 | MambaIR: A Simple Baseline for Image Restoration with State-Space Model Hang Guo, Jinmin Li, Tao Dai et al. · Lecture notes in computer science | 29 Sep 2024 | 588 |
| 40 | Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions Xueyan Yin, Genze Wu, Jinze Wei et al. · IEEE Transactions on Intelligent Transportation Systems | 30 May 2022 | 584 |
| 41 | Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence Meng Hao, Hongwei Li, Xizhao Luo et al. · IEEE Transactions on Industrial Informatics | 4 Oct 2019 | 581 |
| 42 | Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin, Rongrong Ji, Chenqian Yan et al. | Jun 2019 | 573 |
| 43 | Graph Convolutional Networks for Temporal Action Localization Runhao Zeng, Wenbing Huang, Chuang Gan et al. | Oct 2019 | 571 |
| 44 | Edge-Enhanced GAN for Remote Sensing Image Superresolution Kui Jiang, Zhongyuan Wang, Peng Yi et al. · IEEE Transactions on Geoscience and Remote Sensing | 29 Mar 2019 | 557 |
| 45 | Masked Autoencoders for Point Cloud Self-supervised Learning Yatian Pang, Wenxiao Wang, Francis E. H. Tay et al. · Lecture notes in computer science | 2022 | 550 |
| 46 | Mobile Edge Intelligence and Computing for the Internet of Vehicles Jun Zhang, Khaled B. Letaief · Proceedings of the IEEE | 28 Oct 2019 | 549 |
| 47 | Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks Bin Ming Liang, Hang Su, Lin Gui et al. · Knowledge-Based Systems | 28 Oct 2021 | 537 |
| 48 | Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules Jialong Xu, Bo Ai, Wei Ren Chen et al. · IEEE Transactions on Circuits and Systems for Video Technology | 21 May 2021 | 502 |
| 49 | Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao, Xi Xiao, Guojun Gan et al. | Jun 2020 | 498 |
| 50 | Suppress and Balance: A Simple Gated Network for Salient Object Detection Xiaoqi Zhao, Youwei Pang, Lihe Zhang et al. · Lecture notes in computer science | 2020 | 488 |
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.