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ORCIDYong Ding 0003
Person information
- affiliation: Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China
- affiliation (PhD 2008): Southeast University, School of Electronic Science and Engineering, Nanjing, China
Other persons with the same name
- Yong Ding — disambiguation page
- Yong Ding 0001 — Karlsruhe Institute of Technology, TECO research group, Germany
- Yong Ding 0002 — Michigan State University, Department of Computer Science and Engineering, East Lansing, MI, USA
- Yong Ding 0004
![[0000-0001-8709-9231]](/proxy/https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8709-9231")
— University of California Riverside, Department of Electrical and Computer Engineering, CA, USA (and 1 more) - Yong Ding 0005 — Guilin University of Electronic Technology, School of Computer Science and Information Security, China (and 2 more)
- Yong Ding 0006 — National University of Defense Technology, College of Artificial Intelligence, China
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2020 – today
- 2024
[j28]Haiyan Wu, Di Zhou, Chaoqun Sun, Zhiqiang Zhang, Yong Ding, Yanhong Chen:
LSOIT: Lexicon and Syntax Enhanced Opinion Induction Tree for Aspect-based Sentiment Analysis. Expert Syst. Appl. 235: 121137 (2024)- [j27]Xu Yang, Linhu Zhao, Zhichao Tan, Menglian Zhao, Yong Ding, Wuhua Li, Yan Lu, Wanyuan Qu:
A High-Efficiency Wide Output Range Reconfigurable Capacitive-Sigma DC-DC Converter. IEEE J. Solid State Circuits 59(5): 1532-1542 (2024) - [j26]Jun Tang, Chenyan Lu, Zhengxue Liu, Jiale Li, Hang Dai, Yong Ding:
CTVSR: Collaborative Spatial-Temporal Transformer for Video Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5018-5032 (2024) - [c18]Jiale Li, Hang Dai, Yu Wang, Guangzhi Cao, Chun Luo, Yong Ding:
Improving Radial Imbalances with Hybrid Voxelization and RadialMix for LiDAR 3D Semantic Segmentation. ICRA 2024: 7710-7717 - [c17]Ruijie Xi, Chenkang Xue, Jiping Li, Tianting Zhao, Mengjiao Li, Yong Ding, Wuhua Li, Wanyuan Qu:
A 60-nA IQ 96.5% Peak Efficiency Buck Converter with Wide Load Range for Internet of Things. ISCAS 2024: 1-5 - [i8]Yu Hong, Qian Liu, Huayuan Cheng, Danjiao Ma, Hang Dai, Yu Wang, Guangzhi Cao, Yong Ding:
UniVision: A Unified Framework for Vision-Centric 3D Perception. CoRR abs/2401.06994 (2024) - 2023
- [j25]Chenkang Xue, Bingruo Gong, Huipeng Xu, Yanzheng Yu, Yong Ding, Wuhua Li, Wanyuan Qu:
A 36-55 V Input 0.6-2.5 V Output Bypass-Assist Series-Capacitor Power Converter With 93.1% Peak Efficiency and 1.5 mA-5 A Load Range. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 5507-5519 (2023) - [c16]Jiale Li, Hang Dai, Hao Han, Yong Ding:
MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving. CVPR 2023: 21694-21704 - [c15]Xu Yang, Linhu Zhao, Menglian Zhao, Zhichao Tan, Yong Ding, Wuhua Li, Wanyuan Qu:
A 5A 94.5% Peak Efficiency 9~16V-to-1V Dual-Path Series-Capacitor Converter with Full Duty Range and Low V.A Metric. ISSCC 2023: 196-197 - [i7]Jiale Li, Hang Dai, Hao Han, Yong Ding:
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving. CoRR abs/2303.08600 (2023) - 2022
- [c14]Yi-Nan Chen, Hang Dai, Yong Ding:
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. CVPR 2022: 877-887 - [c13]Yu Hong, Hang Dai, Yong Ding:
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection. ECCV (10) 2022: 87-104 - [c12]Jiale Li, Hang Dai, Yong Ding:
Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving. ECCV (28) 2022: 659-676 - [c11]Paulo Henrique de C. Oliveira, Mylène C. Q. Farias, Daniel S. Ferreira, Andrey S. Krylov, Yong Ding:
Using a Saliency-Driven Convolutional Neural Network Framework for Brain Tumor Detection. ICMHI 2022: 9-13 - [c10]Chenkang Xue, Lijie Shao, Linhu Zhao, Xu Yang, Hang Zhou, Yuqiu Lin, Yong Ding, Wuhua Li, Wanyuan Qu:
A Dickson Hybrid Boost Converter With On-Chip Cold-Start for Thermoelectric Energy Harvesting. ISCAS 2022: 2754-2757 - [c9]Xu Yang, Linhu Zhao, Menglian Zhao, Zhichao Tan, Lenian He, Yong Ding, Wuhua Li, Wanyuan Qu:
A 5V Input 98.4% Peak Efficiency Reconfigurable Capacitive-Sigma Converter With Greater than 90% Peak Efficiency for the Entire 0.4~1.2V Output Range. ISSCC 2022: 108-110 - [c8]Aline A. S. Thomaz, Jonathan A. S. Lima, Cristiano Jacques Miosso, Mylène C. Q. Farias, Andrey S. Krylov, Yong Ding:
Undersampled Magnetic Resonance Image Reconstructions Based on a Combination of U-Nets and L1, L2, and TV Optimizations. IST 2022: 1-6 - [i6]Yi-Nan Chen, Hang Dai, Yong Ding:
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. CoRR abs/2203.02112 (2022) - [i5]Yu Hong, Hang Dai, Yong Ding:
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection. CoRR abs/2211.07171 (2022) - 2021
- [j24]Jiale Li, Yu Sun, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds. IEEE Access 9: 98249-98260 (2021) - [j23]Haixiao Cao, Xu Yang, Chenkang Xue, Lenian He, Zhichao Tan, Menglian Zhao, Yong Ding, Wuhua Li, Wanyuan Qu:
A 12-Level Series-Capacitor 48-1V DC-DC Converter With On-Chip Switch and GaN Hybrid Power Conversion. IEEE J. Solid State Circuits 56(12): 3628-3638 (2021) - [j22]Haixiao Cao, Xu Yang, Wuhua Li, Yong Ding, Wanyuan Qu:
An Impedance Adapting Compensation Scheme for High Current NMOS LDO Design. IEEE Trans. Circuits Syst. II Express Briefs 68(7): 2287-2291 (2021) - [c7]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
M3DSSD: Monocular 3D Single Stage Object Detector. CVPR 2021: 6145-6154 - [c6]Xu Yang, Haixiao Cao, Chenkang Xue, Lenian He, Zhichao Tan, Menglian Zhao, Yong Ding, Wuhua Li, Wanyuan Qu:
33.4 An 8A 998A/inch3 90.2% Peak Efficiency 48V-to-1V DC-DC Converter Adopting On-Chip Switch and GaN Hybrid Power Conversion. ISSCC 2021: 466-468 - [c5]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud. ACM Multimedia 2021: 553-562 - [c4]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder. ACM Multimedia 2021: 4622-4631 - [i4]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
M3DSSD: Monocular 3D Single Stage Object Detector. CoRR abs/2103.13164 (2021) - [i3]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud. CoRR abs/2108.03634 (2021) - [i2]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder. CoRR abs/2108.03648 (2021) - 2020
- [j21]Guangming Sun, Bufan Shi, Xiaodong Chen, Andrey S. Krylov, Yong Ding:
Learning Local Quality-Aware Structures of Salient Regions for Stereoscopic Images via Deep Neural Networks. IEEE Trans. Multim. 22(11): 2938-2949 (2020) - [c3]Hang Dai, Shujie Luo, Yong Ding, Ling Shao:
Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations. ECCV Workshops (2) 2020: 27-32 - [c2]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
C4AV: Learning Cross-Modal Representations from Transformers. ECCV Workshops (2) 2020: 33-38 - [c1]Valeriy E. Karnaukhov, Andrey S. Krylov, Yong Ding, Mylène C. Q. Farias:
Hybrid Method for Biomedical Image Poisson Denoising. ICBIP 2020: 32-36 - [i1]Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds. CoRR abs/2004.04962 (2020)
2010 – 2019
- 2019
- [j20]Xiaogang Xu, Bufan Shi, Zijin Gu, Ruizhe Deng, Xiaodong Chen, Andrey S. Krylov, Yong Ding:
3D No-Reference Image Quality Assessment via Transfer Learning and Saliency-Guided Feature Consolidation. IEEE Access 7: 85286-85297 (2019) - [j19]Xiao-hua Luo, Zhitao Tan, Yong Ding:
Accurate Line Reconstruction for Point and Line-Based Stereo Visual Odometry. IEEE Access 7: 185108-185120 (2019) - [j18]Yong Ding, Yang Zhao, Xiaodong Chen, Xiaolei Zhu, Andrey S. Krylov:
Stereoscopic image quality assessment by analysing visual hierarchical structures and binocular effects. IET Image Process. 13(10): 1608-1615 (2019) - 2018
- [j17]Yong Ding, Ruizhe Deng, Xin Xie, Xiaogang Xu, Yang Zhao, Xiaodong Chen, Andrey S. Krylov:
No-Reference Stereoscopic Image Quality Assessment Using Convolutional Neural Network for Adaptive Feature Extraction. IEEE Access 6: 37595-37603 (2018) - [j16]Guangming Sun, Yong Ding, Ruizhe Deng, Yang Zhao, Xiaodong Chen, Andrey S. Krylov:
Stereoscopic Image Quality Assessment by Considering Binocular Visual Mechanisms. IEEE Access 6: 51337-51347 (2018) - 2017
- [j15]Xin Xie, Yangyang Sun, Hongda Chen, Yong Ding:
Hardware Trojans classification based on controllability and observability in gate-level netlist. IEICE Electron. Express 14(18): 20170682 (2017) - [j14]Yong Ding, Xinyu Zhao, Zhi Zhang, Hang Dai:
Image Quality Assessment Based on Multi-Order Local Features Description, Modeling and Quantification. IEICE Trans. Inf. Syst. 100-D(6): 1303-1315 (2017) - [j13]Hongda Chen, Shaoze Wang, Yong Ding, Dahong Qian:
Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis. Int. J. Biomed. Imaging 2017: 8147632:1-8147632:8 (2017) - [j12]Yong Ding, Tuo Hu:
Efficient scheme of low-dose CT reconstruction using TV minimization with an adaptive stopping strategy and sparse dictionary learning for post-processing. Frontiers Inf. Technol. Electron. Eng. 18(12): 2001-2008 (2017) - [j11]Yong Ding, Yang Zhao, Xinyu Zhao:
Image quality assessment based on multi-feature extraction and synthesis with support vector regression. Signal Process. Image Commun. 54: 81-92 (2017) - 2016
- [j10]Jing Qiu, Xiaoyan Xiang, Zhijian Chen, Jianyi Meng, Yong Ding:
Ultralow power processor employing block instruction for ECG applications. IEICE Electron. Express 13(2): 20150493 (2016) - [j9]Li Zhanhui, Yong Ding, Xiaolang Yan, Jianyi Meng, Xiaoyan Xiang:
Light-weight one-cycle timing error correction based on hardware software co-design. IEICE Electron. Express 13(11): 20160411 (2016) - [j8]Ziyi Hao, Xiaoyan Xiang, Chen Chen, Jianyi Meng, Yong Ding, Xiaolang Yan:
EDSU: Error detection and sampling unified flip-flop with ultra-low overhead. IEICE Electron. Express 13(16): 20160682 (2016) - [j7]Yong Ding, Nan Li, Yang Zhao, Kai Huang:
Image quality assessment method based on nonlinear feature extraction in kernel space. Frontiers Inf. Technol. Electron. Eng. 17(10): 1008-1017 (2016) - 2014
- [j6]Yong Ding, Yuan Zhang, Xiang Wang, Xiaolang Yan, Andrey S. Krylov:
Perceptual image quality assessment metric using mutual information of Gabor features. Sci. China Inf. Sci. 57(3): 1-9 (2014) - [j5]Hang Zhang, Yong Ding, Peng Wei Wu, Xue Tong Bai, Kai Huang:
Image Quality Assessment by Quantifying Discrepancies of Multifractal Spectrums. IEICE Trans. Inf. Syst. 97-D(9): 2453-2460 (2014) - 2011
- [j4]Min-yong Wan, Yong Ding, Yun Pan, Xiaolang Yan:
An Efficient Compatibility-Based Test Data Compression and Its Decoder Architecture. J. Electron. Test. 27(6): 787-796 (2011) - [j3]Yong Ding, Xiao-hua Luo, Xiaolang Yan:
Current oscillations and low-frequency noises in GaAs MESFET channels with sidegating bias. J. Zhejiang Univ. Sci. C 12(7): 597-603 (2011) - [j2]Xiang Wang, Yong Ding, Ming-Yu Liu, Xiaolang Yan:
Efficient implementation of a cubic-convolution based image scaling engine. J. Zhejiang Univ. Sci. C 12(9): 743-753 (2011) - [j1]Yong Ding, Xiaolang Yan:
A robust motion estimation with center-biased diamond search and its parallel architecture for motion-compensated de-interlace. J. Supercomput. 58(1): 68-83 (2011)
Coauthor Index
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