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ORCIDCongcong Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j13]Fangfang Ye, Jinming Wang, Congcong Liu:
Misshaped boundary classifier model for license plate detection in haze weather using entropy CNN. Inf. Sci. 690: 121530 (2025)- 2024
- [j12]Junhui Zhao
, Congcong Liu, Jieyu Liao, Dongming Wang:
Deep learning in wireless communications for physical layer. Phys. Commun. 67: 102503 (2024) - [c27]Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao:
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction. AAAI 2024: 428-436 - [c26]Ling Lin, Yihang Zhou, Zhanqi Hu, Dian Jiang, Congcong Liu, Shuo Zhou, Yanjie Zhu, Jianxiang Liao, Dong Liang, Hairong Zheng, Haifeng Wang:
Pediatric TSC-Related Epilepsy Classification from Clinical Mr Images Using Quantum Neural Network. ISBI 2024: 1-5 - [i21]Taofeng Xie, Zhuo-Xu Cui, Congcong Liu, Chen Luo, Huayu Wang, Yuanzhi Zhang, Xuemei Wang, Yihang Zhou, Qiyu Jin, Guoqing Chen, Dong Liang, Haifeng Wang:
Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model. CoRR abs/2408.11840 (2024) - [i20]Ling Lin, Yihang Zhou, Zhanqi Hu, Dian Jiang, Congcong Liu, Shuo Zhou, Yanjie Zhu, Jianxiang Liao, Dong Liang, Hairong Zheng, Haifeng Wang:
Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network. CoRR abs/2408.12615 (2024) - 2023
- [j11]Congcong Liu, Huiqin Wang, Li Mao, Rui Liu, Zhan Wang, Ting Wang:
Image Stitching Method of Bone Stick Fragment Based on Similarity Freeman Code Matching. IEEE Access 11: 23073-23084 (2023) - [j10]Yajing Si, Peiyang Li, Xinge Wang, Guiying Yao, Congcong Liu, Yize Liu, Jiajia Zhang, Hongxing Zhang, Yanyan Luo:
Cueing effect of attention among nurses with different anxiety levels: an EEG study. Medical Biol. Eng. Comput. 61(9): 2269-2279 (2023) - [j9]Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang:
K-UNN: k-space interpolation with untrained neural network. Medical Image Anal. 88: 102877 (2023) - [c25]Jing Yang, Congcong Liu, Zhixiang Yin, Shiji Yang, Yue Zhang, Guoqing He:
Text Encryption Scheme Based on Chaotic Map and DNA Strand Displacement. BIC-TA (1) 2023: 317-330 - [c24]Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao:
BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation. CIKM 2023: 4410-4414 - [c23]Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang:
Developing a Dynamic Graph Network for Interpretable Analysis of Multi-Modal MRI Data in Parkinson's Disease Diagnosis. EMBC 2023: 1-4 - [c22]Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang:
Dynamic Dual-Graph Fusion Convolutional Network for Alzheimer's Disease Diagnosis. ICIP 2023: 675-679 - [c21]Han Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao:
PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving. ECML/PKDD (6) 2023: 669-683 - [c20]Congcong Liu, Liang Shi, Pei Wang, Fei Teng, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao:
Loss Harmonizing for Multi-Scenario CTR Prediction. RecSys 2023: 195-199 - [c19]Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao:
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. SIGIR 2023: 1806-1810 - [c18]Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao:
Confidence Ranking for CTR Prediction. WWW (Companion Volume) 2023: 437-441 - [i19]Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao:
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. CoRR abs/2304.09062 (2023) - [i18]Zhuo-Xu Cui, Congcong Liu, Chentao Cao, Yuanyuan Liu, Jing Cheng, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang:
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI. CoRR abs/2305.02509 (2023) - [i17]Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao:
Confidence Ranking for CTR Prediction. CoRR abs/2307.01206 (2023) - [i16]Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang:
Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis. CoRR abs/2308.15484 (2023) - [i15]Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang:
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation. CoRR abs/2308.15918 (2023) - [i14]Taofeng Xie, Zhuo-Xu Cui, Chen Luo, Huayu Wang, Congcong Liu, Yuanzhi Zhang, Xuemei Wang, Yanjie Zhu, Qiyu Jin, Guoqing Chen, Yihang Zhou, Dong Liang, Haifeng Wang:
Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction. CoRR abs/2311.14473 (2023) - 2022
- [j8]Yingbo Shen, Rong Zhang, Dongyan Shao, Lu Yang, Jiayue Lu, Congcong Liu, Xueyang Wang, Junyao Jiang, Boxuan Wang, Congming Wu, Julian Parkhill, Yang Wang, Timothy R. Walsh, George F. Gao, Zhangqi Shen:
Genomic Shift in Population Dynamics of mcr-1-positive Escherichia coli in Human Carriage. Genom. Proteom. Bioinform. 20(6): 1168-1179 (2022) - [c17]Yuying Chen, Congcong Liu, Xiaodong Mei, Bertram E. Shi, Ming Liu:
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction. IROS 2022: 13400-13405 - [c16]Congcong Liu, Yuejiang Li, Jian Zhu, Fei Teng, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao:
Position Awareness Modeling with Knowledge Distillation for CTR Prediction. RecSys 2022: 562-566 - [c15]Congcong Liu, Junhui Zhao, Huan Zhang, Qiuping Li:
Feasibility Analysis and Target Detection Technology of Passive Radar Based on 5G Signal. WCSP 2022: 533-537 - [i13]Congcong Liu, Yuejiang Li, Jian Zhu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao:
Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction. CoRR abs/2204.00270 (2022) - [i12]Congcong Liu, Yuejiang Li, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao:
Concept Drift Adaptation for CTR Prediction in Online Advertising Systems. CoRR abs/2204.05101 (2022) - [i11]Han Xu, Hao Qi, Kunyao Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao:
Research: A Pre-Computing Solution for Online Advertising Serving. CoRR abs/2206.12893 (2022) - [i10]Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang:
K-UNN: k-Space Interpolation With Untrained Neural Network. CoRR abs/2208.05827 (2022) - 2021
- [j7]Yong Sun, Congcong Liu, Ming Sang, Jinhua Niu, Huixuan Xu, Feng Xu:
Establishment and evaluation of performance index system of electric heated solid thermal storage. J. Comput. Methods Sci. Eng. 21(5): 1531-1547 (2021) - [j6]Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi:
Using Eye Gaze to Enhance Generalization of Imitation Networks to Unseen Environments. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2066-2074 (2021) - [j5]Congcong Liu, Jie Ying, Haima Yang, Xing Hu, Jin Liu:
Improved human action recognition approach based on two-stream convolutional neural network model. Vis. Comput. 37(6): 1327-1341 (2021) - [c14]Jing Yang, Zhixiang Yin, Zhen Tang, Jianzhong Cui, Congcong Liu:
Solution to Satisfiability Problem Based on Molecular Beacon Microfluidic Chip Computing Model. BIC-TA (1) 2021: 415-425 - [c13]Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi:
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention. ICRA 2021: 14234-14240 - [i9]Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi:
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention. CoRR abs/2101.05682 (2021) - [i8]Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu:
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars. CoRR abs/2102.00675 (2021) - [i7]Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Guangpeng Chen, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao:
Dynamic Parameterized Network for CTR Prediction. CoRR abs/2111.04983 (2021) - 2020
- [j4]Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu:
Robot Navigation in Crowds by Graph Convolutional Networks With Attention Learned From Human Gaze. IEEE Robotics Autom. Lett. 5(2): 2754-2761 (2020) - [c12]Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu:
CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation. BMVC 2020 - [i6]Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu:
CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation. CoRR abs/2005.00754 (2020) - [i5]Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu:
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction. CoRR abs/2009.07140 (2020)
2010 – 2019
- 2019
- [j3]Congcong Liu, Huaming Wu:
Channel pruning based on mean gradient for accelerating Convolutional Neural Networks. Signal Process. 156: 84-91 (2019) - [c11]Congcong Liu, Yuying Chen, Lei Tai, Haoyang Ye, Ming Liu, Bertram E. Shi:
A gaze model improves autonomous driving. ETRA 2019: 33:1-33:5 - [c10]Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu:
Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective. IROS 2019: 2622-2628 - [c9]Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi:
Gaze Training by Modulated Dropout Improves Imitation Learning. IROS 2019: 7756-7761 - [c8]Feng Du, Shengping Liu, Nan Li, Congcong Liu, Qiaoyan Chen, Shuai Zhang, Haifeng Wang, Xiaoliang Zhang, Ye Li:
Performance Evaluation and Comparison of two Triple-nuclear RF Resonators for 1H/19F/31P MR Imaging at 9.4T. RCAR 2019: 598-603 - [c7]Congcong Liu, Jianguo Cui, Nan Li, Feng Du, Junxia Chen, Caiyun Shi, Ye Li, Dong Liang, Haifeng Wang:
Preliminary Study of Gradient Coils with Variable Gradient Value and Open-Drive Coil in Magnetic Particle Imaging. RCAR 2019: 958-963 - [c6]Congcong Liu, Hengxin Chen, Mingqi Gao:
A Context-Aware Map Matching Method Based on Supported Degree. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 530-535 - [i4]Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu:
End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation. CoRR abs/1903.00821 (2019) - [i3]Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi:
Gaze Training by Modulated Dropout Improves Imitation Learning. CoRR abs/1904.08377 (2019) - [i2]Congcong Liu, Yuying Chen, Lei Tai, Ming Liu, Bertram E. Shi:
Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments. CoRR abs/1907.04728 (2019) - [i1]Yuying Chen, Congcong Liu, Ming Liu, Bertram E. Shi:
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze. CoRR abs/1909.10400 (2019) - 2018
- [c5]Congcong Liu, Yawen Zhang, Karl Herrup, Bertram E. Shi:
On the Interaction between Gaze Behavior and Physiological Responses when Viewing Garden Scenes. EMBC 2018: 315-318 - [c4]Yawen Zhang, Congcong Liu, Karl Herrup, Bertram E. Shi:
Physiological Responses of the Youth Viewing a Japanese Garden. EMBC 2018: 1550-1553 - [c3]Chijian Zhang, Junkai Li, Yanxi Zhang, Congcong Liu:
Machine Learning and Knowledge Discovery in Analog Circuit Fault Detection. ICNC-FSKD 2018: 276-282 - 2017
- [c2]Congcong Liu, Karl Herrup, Bertram E. Shi:
Remote gaze tracking system for 3D environments. EMBC 2017: 1768-1771 - 2014
- [j2]Tao Zou, Jianfeng Qu, Yi Chai, Maoyun Guo, Congcong Liu:
Uniform Stability of a Class of Fractional-Order Nonautonomous Systems with Multiple Time Delays. J. Appl. Math. 2014: 808293:1-808293:8 (2014) - [j1]Ting Wang, Zhencai Chen, Guang Zhao, Glenn Hitchman, Congcong Liu, Xiaoyue Zhao, Yijun Liu, Antao Chen:
Linking inter-individual differences in the conflict adaptation effect to spontaneous brain activity. NeuroImage 90: 146-152 (2014)
2000 – 2009
- 2006
- [c1]Zhenfu Bi, Fusheng Wang, Congcong Liu:
Getting parameters in power systems based on adaptive linear neural network. IJCNN 2006: 1458-1462
Coauthor Index
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