Congcong Liu

According to our database, Congcong Liu authored at least 51 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction.

Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cueing effect of attention among nurses with different anxiety levels: an EEG study.

Yajing Si, Peiyang Li, Xinge Wang, Guiying Yao, Congcong Liu, Yize Liu, Jiajia Zhang, Hongxing Zhang, Yanyan Luo

Medical Biol. Eng. Comput., September, 2023

K-UNN: k-space interpolation with untrained neural network.

Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang

Medical Image Anal., August, 2023

Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction.

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

CoRR, 2023

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation.

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

CoRR, 2023

Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis.

Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang

CoRR, 2023

Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI.

Zhuo-Xu Cui, Congcong Liu, Chentao Cao, Yuanyuan Liu, Jing Cheng, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang

CoRR, 2023

Image Stitching Method of Bone Stick Fragment Based on Similarity Freeman Code Matching.

Congcong Liu, Huiqin Wang, Li Mao, Rui Liu, Zhan Wang, Ting Wang

IEEE Access, 2023

Confidence Ranking for CTR Prediction.

Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction.

Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Loss Harmonizing for Multi-Scenario CTR Prediction.

Congcong Liu, Liang Shi, Pei Wang, Fei Teng, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving.

Han Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Dynamic Dual-Graph Fusion Convolutional Network for Alzheimer's Disease Diagnosis.

Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang

Proceedings of the IEEE International Conference on Image Processing, 2023

Developing a Dynamic Graph Network for Interpretable Analysis of Multi-Modal MRI Data in Parkinson's Disease Diagnosis.

Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation.

Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Text Encryption Scheme Based on Chaotic Map and DNA Strand Displacement.

Jing Yang, Congcong Liu, Zhixiang Yin, Shiji Yang, Yue Zhang, Guoqing He

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

2022

Genomic Shift in Population Dynamics of <i>mcr</i>-<i>1</i>-positive <i>Escherichia coli</i> in Human Carriage.

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

Genom. Proteom. Bioinform., December, 2022

K-UNN: k-Space Interpolation With Untrained Neural Network.

Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang

CoRR, 2022

Research: A Pre-Computing Solution for Online Advertising Serving.

Han Xu, Hao Qi, Kunyao Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

Concept Drift Adaptation for CTR Prediction in Online Advertising Systems.

Congcong Liu, Yuejiang Li, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction.

Congcong Liu, Yuejiang Li, Jian Zhu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

Feasibility Analysis and Target Detection Technology of Passive Radar Based on 5G Signal.

Congcong Liu, Junhui Zhao, Huan Zhang, Qiuping Li

Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

Position Awareness Modeling with Knowledge Distillation for CTR Prediction.

Congcong Liu, Yuejiang Li, Jian Zhu, Fei Teng, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction.

Yuying Chen, Congcong Liu, Xiaodong Mei, Bertram E. Shi, Ming Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Improved human action recognition approach based on two-stream convolutional neural network model.

Congcong Liu, Jie Ying, Haima Yang, Xing Hu, Jin Liu

Vis. Comput., 2021

Using Eye Gaze to Enhance Generalization of Imitation Networks to Unseen Environments.

Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi

IEEE Trans. Neural Networks Learn. Syst., 2021

Establishment and evaluation of performance index system of electric heated solid thermal storage.

Yong Sun, Congcong Liu, Ming Sang, Jinhua Niu, Huixuan Xu, Feng Xu

J. Comput. Methods Sci. Eng., 2021

Dynamic Parameterized Network for CTR Prediction.

Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Guangpeng Chen, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2021

Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars.

Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu

CoRR, 2021

AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention.

Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi

CoRR, 2021

AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention.

Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Solution to Satisfiability Problem Based on Molecular Beacon Microfluidic Chip Computing Model.

Jing Yang, Zhixiang Yin, Zhen Tang, Jianzhong Cui, Congcong Liu

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2021

2020

Robot Navigation in Crowds by Graph Convolutional Networks With Attention Learned From Human Gaze.

Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu

IEEE Robotics Autom. Lett., 2020

HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction.

Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu

CoRR, 2020

CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation.

Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Channel pruning based on mean gradient for accelerating Convolutional Neural Networks.

Congcong Liu, Huaming Wu

Signal Process., 2019

Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments.

Congcong Liu, Yuying Chen, Lei Tai, Ming Liu, Bertram E. Shi

CoRR, 2019

End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation.

Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu

CoRR, 2019

A Context-Aware Map Matching Method Based on Supported Degree.

Congcong Liu, Hengxin Chen, Mingqi Gao

Proceedings of the 2019 IEEE SmartWorld, 2019

Preliminary Study of Gradient Coils with Variable Gradient Value and Open-Drive Coil in Magnetic Particle Imaging.

Congcong Liu, Jianguo Cui, Nan Li, Feng Du, Junxia Chen, Caiyun Shi, Ye Li, Dong Liang, Haifeng Wang

Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

Performance Evaluation and Comparison of two Triple-nuclear RF Resonators for ¹H/¹⁹F/³¹P MR Imaging at 9.4T.

Feng Du, Shengping Liu, Nan Li, Congcong Liu, Qiaoyan Chen, Shuai Zhang, Haifeng Wang, Xiaoliang Zhang, Ye Li

Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective.

Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Gaze Training by Modulated Dropout Improves Imitation Learning.

Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

A gaze model improves autonomous driving.

Congcong Liu, Yuying Chen, Lei Tai, Haoyang Ye, Ming Liu, Bertram E. Shi

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019

2018

Machine Learning and Knowledge Discovery in Analog Circuit Fault Detection.

Chijian Zhang, Junkai Li, Yanxi Zhang, Congcong Liu

Proceedings of the 14th International Conference on Natural Computation, 2018

Physiological Responses of the Youth Viewing a Japanese Garden.

Yawen Zhang, Congcong Liu, Karl Herrup, Bertram E. Shi

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

On the Interaction between Gaze Behavior and Physiological Responses when Viewing Garden Scenes.

Congcong Liu, Yawen Zhang, Karl Herrup, Bertram E. Shi

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Remote gaze tracking system for 3D environments.

Congcong Liu, Karl Herrup, Bertram E. Shi

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2014

Linking inter-individual differences in the conflict adaptation effect to spontaneous brain activity.

Ting Wang, Zhencai Chen, Guang Zhao, Glenn Hitchman, Congcong Liu, Xiaoyue Zhao, Yijun Liu, Antao Chen

NeuroImage, 2014

Uniform Stability of a Class of Fractional-Order Nonautonomous Systems with Multiple Time Delays.

Tao Zou, Jianfeng Qu, Yi Chai, Maoyun Guo, Congcong Liu

J. Appl. Math., 2014

2006

Getting parameters in power systems based on adaptive linear neural network.

Zhenfu Bi, Fusheng Wang, Congcong Liu

Proceedings of the International Joint Conference on Neural Networks, 2006