Congcong Liu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 53

Top Topics

Disease Diagnosis

Imitation Learning

Online Advertising

Convolutional Network

Top Venues

Publications

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)
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 (2023)
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)
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 (2023)
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 (2023)
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)
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)
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 (2023)
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) (2023)
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)
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 (2023)
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)
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 (2023)
Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao
Confidence Ranking for CTR Prediction. WWW (Companion Volume) (2023)
Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao
Confidence Ranking for CTR Prediction. CoRR (2023)
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)
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 (2023)
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)
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)
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 (2022)
Congcong Liu, Junhui Zhao, Huan Zhang, Qiuping Li
Feasibility Analysis and Target Detection Technology of Passive Radar Based on 5G Signal. WCSP (2022)
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 (2022)
Congcong Liu, Yuejiang Li, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
Concept Drift Adaptation for CTR Prediction in Online Advertising Systems. CoRR (2022)
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)
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
in Human Carriage. Genom. Proteom. Bioinform. 20 (6) (2022)
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 (2022)
Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention. ICRA (2021)
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) (2021)
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 (2021)
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 (2021)
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) (2021)
Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention. CoRR (2021)
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)
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) (2021)
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) (2020)
Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction. CoRR (2020)
Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu
CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation. BMVC (2020)
Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu
CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation. CoRR (2020)
Congcong Liu, Yuying Chen, Lei Tai, Haoyang Ye, Ming Liu, Bertram E. Shi
A gaze model improves autonomous driving. ETRA (2019)
Yuying Chen, Congcong Liu, Ming Liu, Bertram E. Shi
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze. CoRR (2019)
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 (2019)
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)
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 (2019)
Congcong Liu, Hengxin Chen, Mingqi Gao
A Context-Aware Map Matching Method Based on Supported Degree. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
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)
Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi
Gaze Training by Modulated Dropout Improves Imitation Learning. CoRR (2019)
Congcong Liu, Huaming Wu
Channel pruning based on mean gradient for accelerating Convolutional Neural Networks. Signal Process. 156 (2019)
Feng Du, Shengping Liu, Nan Li, Congcong Liu, Qiaoyan Chen, Shuai Zhang, Haifeng Wang, Xiaoliang Zhang, Ye Li
P MR Imaging at 9.4T. RCAR (2019)
Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi
Gaze Training by Modulated Dropout Improves Imitation Learning. IROS (2019)
Chijian Zhang, Junkai Li, Yanxi Zhang, Congcong Liu
Machine Learning and Knowledge Discovery in Analog Circuit Fault Detection. ICNC-FSKD (2018)
Congcong Liu, Yawen Zhang, Karl Herrup, Bertram E. Shi
On the Interaction between Gaze Behavior and Physiological Responses when Viewing Garden Scenes. EMBC (2018)
Yawen Zhang, Congcong Liu, Karl Herrup, Bertram E. Shi
Physiological Responses of the Youth Viewing a Japanese Garden. EMBC (2018)
Congcong Liu, Karl Herrup, Bertram E. Shi
Remote gaze tracking system for 3D environments. EMBC (2017)
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 (2014)
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 (2014)
Zhenfu Bi, Fusheng Wang, Congcong Liu
Getting parameters in power systems based on adaptive linear neural network. IJCNN (2006)