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Chong Zhao
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2020 – today
- 2024
- [j35]Yimei Liu, Meining Chen, Jun Zhang, Yixuan Wang, Huikuan Gu, Chong Zhao, Zhenyu Qi, Xiaowu Deng, Shuyu Wu, Yinglin Peng:
Multi-Sequence Fusion Network via Single- Sequence CycleGANs for Improved Synthetic CT in Nasopharyngeal Carcinoma Treatment Planning. IEEE Access 12: 71433-71441 (2024) - [j34]Yu Lu, Tao Yang, Chong Zhao, Wen Chen, Rong Zeng:
A swarm anomaly detection model for IoT UAVs based on a multi-modal denoising autoencoder and federated learning. Comput. Ind. Eng. 196: 110454 (2024) - [j33]Xing Wei, Xiongbo Qin, Chong Zhao, Xuanyuan Qiao, Yang Lu:
Unsupervised domain adaptation for object detection through mixed-domain and co-training learning. Multim. Tools Appl. 83(9): 25213-25229 (2024) - [j32]Xing Wei, Taizhang Hu, Di Wu, Fan Yang, Chong Zhao, Yang Lu:
ECCT: Efficient Contrastive Clustering via Pseudo-Siamese Vision Transformer and Multi-view Augmentation. Neural Networks 180: 106684 (2024) - [j31]Jiaxing Sun, Jidong Yang, Jianping Huang, Chong Zhao, Youcai Yu, Xuanhao Chen:
PsfDeconNet: High-Resolution Seismic Imaging Using Point-Spread Function Deconvolution With Generative Adversarial Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-9 (2024) - [j30]Weiqi Wang, Jidong Yang, Zhenchun Li, Jianping Huang, Chong Zhao:
Seismic Data Denoising Using a New Framework of FABEMD-Based Dictionary Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-9 (2024) - [j29]Zhen Chen, Xing Wei, Chong Zhao, Yufa Sun:
Outage Analysis of NOMA Systems With User Ranking Based on ISP and Data Rate Requirement. IEEE Wirel. Commun. Lett. 13(1): 138-142 (2024) - [c30]Xing Wei, Zhaoxin Ji, Fan Yang, Chong Zhao, Bin Wen, Yang Lu:
Self-Training Domain Adaptation Via Weight Transmission Between Generators. ICASSP 2024: 3280-3284 - [c29]Taizhang Hu, Fan Yang, Xing Wei, Chong Zhao, Li Meng, Bin Wen, Yang Lu:
BTC: Bilateral-Branch Vision Transformer via Hilbert Patch Embedding for Image Clustering. ICME 2024: 1-6 - [c28]Xing Wei, Zhaoxin Ji, Bin Wen, Fan Yang, Chong Zhao, Yang Lu:
Unsupervised Multi-Target Domain Adaptation Incremental Method Based on Contrastive Learning. ICME 2024: 1-6 - 2023
- [j28]Yujie Liu, Chong Zhao, Yang Lu, Wei Xing, Xuanyuan Qiao:
A source free domain adaptation model based on adversarial learning for image classification. Appl. Intell. 53(9): 11389-11402 (2023) - [j27]Xing Wei, Bin Wen, Fan Yang, Yujie Liu, Chong Zhao, Di Hu, Hui Luo:
Task-oriented contrastive learning for unsupervised domain adaptation. Expert Syst. Appl. 229(Part A): 120471 (2023) - [j26]Xing Wei, Shang Yao, Chong Zhao, Di Hu, Hui Luo, Yang Lu:
Lightweight multimodal feature graph convolutional network for dangerous driving behavior detection. J. Real Time Image Process. 20(1): 15 (2023) - [j25]Yuan Quan, Ke Wang, Chong Zhao, Congmin Lv, Haifeng Zhao, Hongyu Lv:
Obstacle avoidance method for fixed trajectory of a seven-degree-of-freedom manipulator. Robotica 41(5): 1515-1535 (2023) - [j24]Yifan Wang, Yan Huang, Qicong Wang, Chong Zhao, Zhenchang Zhang, Jian Chen:
Graph-Based Self-Training for Semi-Supervised Deep Similarity Learning. Sensors 23(8): 3944 (2023) - [j23]Jinghong Chen, Chong Zhao, Qicong Wang, Hongying Meng:
HMANet: Hyperbolic Manifold Aware Network for Skeleton-Based Action Recognition. IEEE Trans. Cogn. Dev. Syst. 15(2): 602-614 (2023) - [j22]Jiaxing Sun, Jidong Yang, Jianping Huang, Youcai Yu, Zhenchun Li, Chong Zhao:
LsmGANs: Image-Domain Least-Squares Migration Using a New Framework of Generative Adversarial Networks. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j21]Xing Wei, Ting Bai, Yan Zhai, Lei Chen, Hui Luo, Chong Zhao, Yang Lu:
Source-free domain adaptive object detection based on pseudo-supervised mean teacher. J. Supercomput. 79(6): 6228-6251 (2023) - [c27]Xing Wei, Bin Wen, Lei Chen, Yujie Liu, Chong Zhao, Yang Lu:
Contrastive Domain Adaptation Via Delimitation Discriminator. ICASSP 2023: 1-5 - 2022
- [j20]Xu Ding, Hang Zheng, Yang Wang, Chong Zhao, Fan Yang:
An Energy Harvesting Roadside Unit communication load prediction and energy scheduling based on graph convolutional neural networks for spatial-temporal vehicle data. IET Signal Process. 16(8): 909-924 (2022) - [c26]Ming Zhao, Xing Wei, Yang Lu, Ting Bai, Chong Zhao, Lei Chen, Di Hu:
Cross-domain Object Detection Model via Contrastive Learning with Style Transfer. ICONIP (6) 2022: 410-421 - [c25]Xing Wei, Ting Bai, Zhangling Duan, Ming Zhao, Chong Zhao, Yang Lu, Di Hu:
Entropy-minimization Mean Teacher for Source-Free Domain Adaptive Object Detection. ICONIP (1) 2022: 513-524 - [c24]Yujie Liu, Xing Wei, Yang Lu, Chong Zhao, Xuanyuan Qiao:
Source Free Domain Adaptation via Combined Discriminative GAN Model for Image Classification. IJCNN 2022: 1-8 - [c23]Ming Zhao, Xing Wei, Yang Lu, Ting Bai, Chong Zhao:
Domain Adaption Object Detection with Global - Local Contrastive Learning and Co-training Network. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1373-1378 - [c22]Xing Wei, Shang Yao, Chong Zhao, Di Hu, Hui Luo, Yang Lu:
Graph Convolutional Networks (GCN)-Based Lightweight Detection Model for Dangerous Driving Behavior. WASA (1) 2022: 27-39 - [c21]Hao Yu, Chong Zhao, Xing Wei, Yan Zhai, Zhen Chen, Guangling Sun, Yang Lu:
Posture and Appearance Fusion Network for Driver Distraction Recognition. WASA (1) 2022: 165-174 - [c20]Xing Wei, Xiuxiu Wang, Li Zhang, Lei Chen, Hui Luo, Di Wu, Chong Zhao:
Dropout-Based Ensemble Dual Discriminator for Cross-Domain Sentiment Classification. WASA (2) 2022: 526-538 - 2021
- [j19]Chong Zhao, Geoffrey F. Woodman:
Converging Evidence That Neural Plasticity Underlies Transcranial Direct-Current Stimulation. J. Cogn. Neurosci. 33(1): 146-157 (2021) - [j18]Xu Ding, Jing Wang, Chong Zhao, Peng Zhang, Yucheng Wu, Honghao Gao:
The throughput optimization for wireless sensor networks adopting interference alignment and successive interference cancellation. Peer-to-Peer Netw. Appl. 14(3): 1748-1764 (2021) - [j17]Fan Yang, Jianghong Han, Xu Ding, Chong Zhao:
Optimal resource utilization for intra-cluster D2D retransmission and cooperative communications in VANETs. Wirel. Networks 27(5): 3251-3271 (2021) - [c19]Hang Zheng, Xu Ding, Yang Wang, Chong Zhao:
Attention Based Spatial-Temporal Graph Convolutional Networks for RSU Communication Load Forecasting. CollaborateCom (1) 2021: 99-114 - [c18]Yaoci Xiang, Chong Zhao, Xing Wei, Yang Lu, Shaofan Liu:
Multi-step Domain Adaption Image Classification Network via Attention Mechanism and Multi-level Feature Alignment. WASA (3) 2021: 11-19 - [i2]Huangbin Zhang, Chong Zhao, Yu Zhang, Danlei Wang, Haichao Yang:
Deep Latent Emotion Network for Multi-Task Learning. CoRR abs/2104.08716 (2021) - 2020
- [j16]Fan Yang, Chong Zhao, Xu Ding, Jianghong Han:
An Analytical Model for Energy Harvest Road Side Units Deployment With Dynamic Service Radius in Vehicular Ad-Hoc Networks. IEEE Access 8: 122589-122598 (2020) - [j15]Xiaoqiang Chen, Ling Zheng, Chong Zhao, Qicong Wang, Maozhen Li:
RRGCCAN: Re-Ranking via Graph Convolution Channel Attention Network for Person Re-Identification. IEEE Access 8: 131352-131360 (2020) - [j14]Zhe Zhang, Panpan Xu, Jian Chang, Wencheng Wang, Chong Zhao, Jian-Jun Zhang:
Generating High-quality Superpixels in Textured Images. Comput. Graph. Forum 39(7): 421-431 (2020) - [j13]Xing Wei, Shaofan Liu, Yaoci Xiang, Zhangling Duan, Chong Zhao, Yang Lu:
Incremental learning based multi-domain adaptation for object detection. Knowl. Based Syst. 210: 106420 (2020) - [j12]Chong Zhao, Jianghong Han, Xu Ding, Fan Yang:
A novel approach of dynamic base station switching strategy based on Markov decision process for interference alignment in VANETs. Wirel. Networks 26(8): 5561-5578 (2020) - [c17]Xing Wei, Shaofan Liu, Changguang Wang, Yaoci Xiang, Xuanyuan Qiao, Zhangling Duan, Chong Zhao, Yang Lu:
Class-unbalanced domain adaptation for object detection via dynamic weighting mechanism. 3DV 2020: 495-503 - [c16]Kaihan Gao, Xu Ding, Juan Xu, Fan Yang, Chong Zhao:
HMM-Based Traffic State Prediction and Adaptive Routing Method in VANETs. CollaborateCom (2) 2020: 236-252
2010 – 2019
- 2019
- [j11]Qicong Wang, Xiaoqiang Chen, Lin Zhang, Jin Li, Chong Zhao, Man Qi:
Fuzzy Interacting Multiple Model H \(\infty\) Particle Filter Algorithm Based on Current Statistical Model. Int. J. Fuzzy Syst. 21(6): 1894-1905 (2019) - [j10]Chong Zhao, Jianghong Han, Xu Ding, Lei Shi, Fan Yang:
An Analytical Model for Interference Alignment in Broadcast Assisted VANETs. Sensors 19(22): 4988 (2019) - [c15]Wenhui Zhang, Chong Zhao, Xiaoming Zeng:
Q-Baskakov Bases and q-Baskakov Curves and Surfaces. CSAE 2019: 5:1-5:6 - [c14]Yi Zhao, Zhongzhou Fan, Chong Zhao:
Combined Forecasting Model of Water Traffic Accidents Based on Gray-BP Neural Network. ICITE 2019: 34-38 - [i1]Xinwu Yang, Guizeng You, Chong Zhao, Mengfei Dou, Xinian Guo:
An Improved multi-objective genetic algorithm based on orthogonal design and adaptive clustering pruning strategy. CoRR abs/1901.00577 (2019) - 2017
- [j9]Jiehao Chen, Ziqian Zhao, Jiyun Shi, Chong Zhao:
A New Approach for Mobile Advertising Click-Through Rate Estimation Based on Deep Belief Nets. Comput. Intell. Neurosci. 2017: 7259762:1-7259762:8 (2017) - [c13]Qicong Wang, Dingxi Gong, Maozhen Li, Chong Zhao, Yunqi Lei:
Sparse feature auto-combination deep network for video action recognition. ICNC-FSKD 2017: 712-716 - 2016
- [c12]Chong Zhao, Jiyun Shi, Tao Jiang, Junyao Zhao, Jiehao Chen:
Application of deep belief nets for collaborative filtering. ISCIT 2016: 201-205 - 2014
- [c11]Chong Zhao, Hanqiu Sun:
The subdivision wavelet transform with local shape control. SIGGRAPH ASIA Technical Briefs 2014: 11:1-11:4 - 2013
- [j8]Kunyu Guo, Chong Zhao:
p-essential normality of quasi-homogeneous Drury-Arveson submodules. J. Lond. Math. Soc. 87(3): 899-916 (2013) - 2011
- [j7]Chong Zhao, Hanqiu Sun, Kaihuai Qin:
Efficient wavelet-based geometry compression. Comput. Animat. Virtual Worlds 22(2-3): 307-315 (2011) - [c10]Chong Zhao, Hanqiu Sun:
1-ring interpolatory wavelet using function vectors for mobile computing. VRCAI 2011: 99-108 - 2010
- [j6]Bin Li, Zheng Zhou, Weixia Zou, Dejian Li, Chong Zhao:
Optimal Waveforms Design for Ultra-Wideband Impulse Radio Sensors. Sensors 10(12): 11038-11063 (2010) - [c9]Chong Zhao, Hanqiu Sun, Kaihuai Qin:
Computing Efficient Matrix-valued Wavelets for Meshes. PG (Poster Papers) 2010: 32-38
2000 – 2009
- 2009
- [j5]Chong Zhao, Hanqiu Sun, Huawei Wang, Kaihuai Qin:
Compound Biorthogonal Wavelets on Quadrilaterals and Polar Structures. Algorithms 2(4): 1263-1280 (2009) - [c8]Fan Zhang, Chong Zhao, Hanqiu Sun:
An Aliasing Theory of Shadow Mapping. TPCG 2009: 93-100 - 2008
- [j4]Fan Zhang, Hanqiu Sun, Chong Zhao, Lifeng Wang:
Generalized minimum-norm perspective shadow maps. Comput. Animat. Virtual Worlds 19(5): 553-567 (2008) - [j3]Chong Zhao, Yi Zhao, Sujit Dey:
Intelligent Robustness Insertion for Optimal Transient Error Tolerance Improvement in VLSI Circuits. IEEE Trans. Very Large Scale Integr. Syst. 16(6): 714-724 (2008) - 2007
- [j2]Chong Zhao, Xiaoliang Bai, Sujit Dey:
Evaluating Transient Error Effects in Digital Nanometer Circuits. IEEE Trans. Reliab. 56(3): 381-391 (2007) - [c7]Chong Zhao, Sujit Dey:
Modeling soft error effects considering process variations. ICCD 2007: 376-381 - [c6]Fan Zhang, Hanqiu Sun, Chong Zhao, Lifeng Wang:
Theory to Practice: Generalized Minimum-Norm Perspective Shadow Maps for Anti-aliased Shadow Rendering in 3D Computer Games. ICEC 2007: 66-78 - 2006
- [c5]Chong Zhao, Sujit Dey:
Improving Transient Error Tolerance of Digital VLSI Circuits Using RObustness COmpiler (ROCO). ISQED 2006: 133-140 - [c4]Chong Zhao, Sujit Dey:
Evaluating and Improving Transient Error Tolerance of CMOS Digital VLSI Circuits. ITC 2006: 1-10 - 2005
- [j1]Chong Zhao, Sujit Dey, Xiaoliang Bai:
Soft-Spot Analysis: Targeting Compound Noise Effects in Nanometer Circuits. IEEE Des. Test Comput. 22(4): 362-375 (2005) - [c3]Chong Zhao, Yi Zhao, Sujit Dey:
Constraint-aware robustness insertion for optimal noise-tolerance enhancement in VLSI circuits. DAC 2005: 190-195 - [c2]Chong Zhao, Xiaoliang Bai, Sujit Dey:
A static noise impact analysis methodology for evaluating transient error effects in digital VLSI circuits. ITC 2005: 10 - 2004
- [c1]Chong Zhao, Xiaoliang Bai, Sujit Dey:
A scalable soft spot analysis methodology for compound noise effects in nano-meter circuits. DAC 2004: 894-899
Coauthor Index
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last updated on 2024-11-04 20:43 CET by the dblp team
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