Congcong Liu - RankMe

85 papers A* 5A 8B 3Journal 49Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Generative Contextual Comprehension Paradigm for Takeout Ranking Model. WWW Ziheng Ni, Congcong Liu, Cai Shang, Yiming Sun, Junjie Li, Zhiwei Fang, Guangpeng Chen, Li Jian, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
2026	J	`jnl`	GCRank: A Generative Contextual Comprehension Paradigm for Takeout Ranking Model. CoRR Ziheng Ni, Congcong Liu, Cai Shang, Yiming Sun, Junjie Li, Zhiwei Fang, Guangpeng Chen, Jian Li, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
2026	J	`jnl`	J-Score: Joint Distribution Learning With Score-Based Diffusion for Accelerating T1ρ Mapping. IEEE Trans. Medical Imaging Congcong Liu, Yuanyuan Liu, Chentao Cao, Jing Cheng, Qingyong Zhu, Tian Zhou, Chen Luo, Yanjie Zhu, Haifeng Wang, Zhuo-Xu Cui, Dong Liang
2026	J	`jnl`	UAV Aided Integrated Sensing, Communication and Computing: Optimization via Federated Learning. IEEE Trans. Veh. Technol. Congcong Liu, Junhui Zhao, Jiamin Li, Dongming Wang, F. Richard Yu
2025	J	`jnl`	A hybrid fusion approach combining salience perception and generative adversarial networks for multimodal medical image integration. Biomed. Signal Process. Control. Fangfang Ye, Jinming Wang, Ting Wang, Congcong Liu, Salwa Othmen
2025	J	`jnl`	Flow-Guided Implicit Neural Representation for Motion-Aware Dynamic MRI Reconstruction. CoRR Baoqing Li, Yuanyuan Liu, Congcong Liu, Qingyong Zhu, Jing Cheng, Yihang Zhou, Hao Chen, Zhuo-Xu Cui, Dong Liang
2025	J	`jnl`	General Information Metrics for Improving AI Model Training Efficiency. CoRR Jianfeng Xu, Congcong Liu, Xiaoying Tan, Xiaojie Zhu, Anpeng Wu, Huan Wan, Weijun Kong, Chun Li, Hu Xu, Kun Kuang, Fei Wu
2025	J	`jnl`	General information metrics for improving AI model training efficiency. Artif. Intell. Rev. Jianfeng Xu, Congcong Liu, Xiaoying Tan, Xiaojie Zhu, Anpeng Wu, Huan Wan, Weijun Kong, Chun Li, Hu Xu, Kun Kuang, Fei Wu
2025	—	`conf`	HierDiffuse: Progressive Diffusion for Robust Interest Fusion in CTR Prediction. EMNLP (Industry Track) Ziheng Ni, Congcong Liu, Yuying Chen, Zhiwei Fang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
2025	—	`conf`	K-Space Diffusion Model Based Mr Reconstruction Method for Simultaneous Multislice Imaging. ISBI Ting Zhao, Zhuoxu Cui, Congcong Liu, Xingyang Wu, Yihang Zhou, Dong Liang, Haifeng Wang
2025	J	`jnl`	Kidney stone and tumor segmentation by analyzing medical images using deep learning technique. Eng. Appl. Artif. Intell. Fangfang Ye, Congcong Liu, Jinming Wang, Qingrong Sun, Somia Asklany
2025	J	`jnl`	Misshaped boundary classifier model for license plate detection in haze weather using entropy CNN. Inf. Sci. Fangfang Ye, Jinming Wang, Congcong Liu
2025	J	`jnl`	Network-Security Informed Offer-Making of Aggregator With Utility-Owned Storage Lease Opportunity: Robust Stackelberg Game and Distributed Solution Methods. IEEE Trans. Smart Grid Congcong Liu, Zhengshuo Li
2025	J	`jnl`	Optimal Resource Allocation for Integrated Sensing and Communications in Internet of Vehicles: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. Congcong Liu, Minghua Xia, Junhui Zhao, Huaicheng Li, Yi Gong
2025	A*	`conf`	Post-event Modeling via Causal Optimal Transport for CTR Prediction. SIGIR Yizhou Sang, Congcong Liu, Yuying Chen, Zhiwei Fang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
2025	J	`jnl`	Score-Based Diffusion Models With Self-Supervised Learning for Accelerated 3D Multi-Contrast Cardiac MR Imaging. IEEE Trans. Medical Imaging Yuanyuan Liu, Zhuo-Xu Cui, Shucong Qin, Congcong Liu, Hairong Zheng, Haifeng Wang, Yihang Zhou, Dong Liang, Yanjie Zhu
2025	A	`conf`	Stream Normalization for CTR Prediction. RecSys Yizhou Sang, Congcong Liu, Yuying Chen, Zhiwei Fang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
2025	—	`conf`	Towards Globally Predictable k-Space Interpolation: A White-Box Transformer Approach. MICCAI (8) Chen Luo, Qiyu Jin, Taofeng Xie, Xuemei Wang, Huayu Wang, Congcong Liu, Liming Tang, Guoqing Chen, Zhuo-Xu Cui, Dong Liang
2025	J	`jnl`	Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach. CoRR Chen Luo, Qiyu Jin, Taofeng Xie, Xuemei Wang, Huayu Wang, Congcong Liu, Liming Tang, Guoqing Chen, Zhuo-Xu Cui, Dong Liang
2025	—	`conf`	UniERF: A Uniform Embedding-based Retrieval Framework for E-commerce Search. KDD (2) Hao Jiang, Xiaoyu He, Fanyi Qu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
2024	J	`jnl`	Deep learning in wireless communications for physical layer. Phys. Commun. Junhui Zhao, Congcong Liu, Jieyu Liao, Dongming Wang
2024	A*	`conf`	Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction. AAAI Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao
2024	J	`jnl`	Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model. CoRR 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
2024	J	`jnl`	Network-Security Informed Offer-Making of Aggregator with Utility-Owned Storage Lease Opportunity: Stochastic Stackelberg Game and Distributed Solution Methods. CoRR Congcong Liu, Zhengshuo Li
2024	—	`conf`	Optimized Magnetic Resonance Fingerprinting Using Ziv-Zakai Bound. IST Chaoguang Gong, Yue Hu, Peng Li, Lixian Zou, Congcong Liu, Yihang Zhou, Yanjie Zhu, Dong Liang, Haifeng Wang
2024	J	`jnl`	Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network. CoRR Ling Lin, Yihang Zhou, Zhanqi Hu, Dian Jiang, Congcong Liu, Shuo Zhou, Yanjie Zhu, Jianxiang Liao, Dong Liang, Hairong Zheng, Haifeng Wang
2024	—	`conf`	Pediatric TSC-Related Epilepsy Classification from Clinical Mr Images Using Quantum Neural Network. ISBI Ling Lin, Yihang Zhou, Zhanqi Hu, Dian Jiang, Congcong Liu, Shuo Zhou, Yanjie Zhu, Jianxiang Liao, Dong Liang, Hairong Zheng, Haifeng Wang
2024	J	`jnl`	Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion. IEEE Trans. Medical Imaging Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Haifeng Wang, Yanjie Zhu, Yihang Zhou, Jianping Zhang, Qiegen Liu, Dong Liang
2024	—	`conf`	Quantum Neural Network for Accelerated Magnetic Resonance Imaging. IST Shuo Zhou, Yihang Zhou, Congcong Liu, Yanjie Zhu, Hairong Zheng, Dong Liang, Haifeng Wang
2024	J	`jnl`	Quantum Neural Network for Accelerated Magnetic Resonance Imaging. CoRR Shuo Zhou, Yihang Zhou, Congcong Liu, Yanjie Zhu, Hairong Zheng, Dong Liang, Haifeng Wang
2023	A*	`conf`	Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. SIGIR Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
2023	J	`jnl`	Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. CoRR Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
2023	A	`conf`	BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation. CIKM Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao
2023	—	`conf`	Confidence Ranking for CTR Prediction. WWW (Companion Volume) Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao
2023	J	`jnl`	Confidence Ranking for CTR Prediction. CoRR Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao
2023	J	`jnl`	Cueing effect of attention among nurses with different anxiety levels: an EEG study. Medical Biol. Eng. Comput. Yajing Si, Peiyang Li, Xinge Wang, Guiying Yao, Congcong Liu, Yize Liu, Jiajia Zhang, Hongxing Zhang, Yanyan Luo
2023	—	`conf`	Developing a Dynamic Graph Network for Interpretable Analysis of Multi-Modal MRI Data in Parkinson's Disease Diagnosis. EMBC Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang
2023	J	`jnl`	Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis. CoRR Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang
2023	B	`conf`	Dynamic Dual-Graph Fusion Convolutional Network for Alzheimer's Disease Diagnosis. ICIP Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang
2023	J	`jnl`	Image Stitching Method of Bone Stick Fragment Based on Similarity Freeman Code Matching. IEEE Access Congcong Liu, Huiqin Wang, Li Mao, Rui Liu, Zhan Wang, Ting Wang
2023	J	`jnl`	Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction. CoRR 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
2023	J	`jnl`	K-UNN: k-space interpolation with untrained neural network. Medical Image Anal. Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
2023	A	`conf`	Loss Harmonizing for Multi-Scenario CTR Prediction. RecSys Congcong Liu, Liang Shi, Pei Wang, Fei Teng, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao
2023	J	`jnl`	Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI. CoRR Zhuo-Xu Cui, Congcong Liu, Chentao Cao, Yuanyuan Liu, Jing Cheng, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang
2023	—	`conf`	PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving. ECML/PKDD (6) Han Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
2023	J	`jnl`	Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation. CoRR 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
2023	—	`conf`	Text Encryption Scheme Based on Chaotic Map and DNA Strand Displacement. BIC-TA (1) Jing Yang, Congcong Liu, Zhixiang Yin, Shiji Yang, Yue Zhang, Guoqing He
2022	J	`jnl`	Concept Drift Adaptation for CTR Prediction in Online Advertising Systems. CoRR Congcong Liu, Yuejiang Li, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
2022	—	`conf`	Feasibility Analysis and Target Detection Technology of Passive Radar Based on 5G Signal. WCSP Congcong Liu, Junhui Zhao, Huan Zhang, Qiuping Li
2022	J	`jnl`	Genomic Shift in Population Dynamics of Genom. Proteom. Bioinform. 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
2022	A	`conf`	HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction. IROS Yuying Chen, Congcong Liu, Xiaodong Mei, Bertram E. Shi, Ming Liu
2022	J	`jnl`	K-UNN: k-Space Interpolation With Untrained Neural Network. CoRR Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
2022	A	`conf`	Position Awareness Modeling with Knowledge Distillation for CTR Prediction. RecSys Congcong Liu, Yuejiang Li, Jian Zhu, Fei Teng, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
2022	J	`jnl`	Research: A Pre-Computing Solution for Online Advertising Serving. CoRR Han Xu, Hao Qi, Kunyao Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
2022	J	`jnl`	Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction. CoRR Congcong Liu, Yuejiang Li, Jian Zhu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
2021	A*	`conf`	AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention. ICRA Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi
2021	J	`jnl`	AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention. CoRR Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi
2021	J	`jnl`	Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars. CoRR Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu
2021	J	`jnl`	Dynamic Parameterized Network for CTR Prediction. CoRR Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Guangpeng Chen, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao
2021	J	`jnl`	Establishment and evaluation of performance index system of electric heated solid thermal storage. J. Comput. Methods Sci. Eng. Yong Sun, Congcong Liu, Ming Sang, Jinhua Niu, Huixuan Xu, Feng Xu
2021	J	`jnl`	Improved human action recognition approach based on two-stream convolutional neural network model. Vis. Comput. Congcong Liu, Jie Ying, Haima Yang, Xing Hu, Jin Liu
2021	—	`conf`	Solution to Satisfiability Problem Based on Molecular Beacon Microfluidic Chip Computing Model. BIC-TA (1) Jing Yang, Zhixiang Yin, Zhen Tang, Jianzhong Cui, Congcong Liu
2021	J	`jnl`	Using Eye Gaze to Enhance Generalization of Imitation Networks to Unseen Environments. IEEE Trans. Neural Networks Learn. Syst. Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi
2020	A	`conf`	CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation. BMVC Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu
2020	J	`jnl`	CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation. CoRR Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu
2020	J	`jnl`	HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction. CoRR Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu
2020	J	`jnl`	Robot Navigation in Crowds by Graph Convolutional Networks With Attention Learned From Human Gaze. IEEE Robotics Autom. Lett. Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu
2019	—	`conf`	A Context-Aware Map Matching Method Based on Supported Degree. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Congcong Liu, Hengxin Chen, Mingqi Gao
2019	B	`conf`	A gaze model improves autonomous driving. ETRA Congcong Liu, Yuying Chen, Lei Tai, Haoyang Ye, Ming Liu, Bertram E. Shi
2019	J	`jnl`	Channel pruning based on mean gradient for accelerating Convolutional Neural Networks. Signal Process. Congcong Liu, Huaming Wu
2019	J	`jnl`	End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation. CoRR Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu
2019	A	`conf`	Gaze Training by Modulated Dropout Improves Imitation Learning. IROS Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi
2019	J	`jnl`	Gaze Training by Modulated Dropout Improves Imitation Learning. CoRR Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi
2019	—	`conf`	Performance Evaluation and Comparison of two Triple-nuclear RF Resonators for RCAR Feng Du, Shengping Liu, Nan Li, Congcong Liu, Qiaoyan Chen, Shuai Zhang, Haifeng Wang, Xiaoliang Zhang, Ye Li
2019	—	`conf`	Preliminary Study of Gradient Coils with Variable Gradient Value and Open-Drive Coil in Magnetic Particle Imaging. RCAR Congcong Liu, Jianguo Cui, Nan Li, Feng Du, Junxia Chen, Caiyun Shi, Ye Li, Dong Liang, Haifeng Wang
2019	J	`jnl`	Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze. CoRR Yuying Chen, Congcong Liu, Ming Liu, Bertram E. Shi
2019	J	`jnl`	Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments. CoRR Congcong Liu, Yuying Chen, Lei Tai, Ming Liu, Bertram E. Shi
2019	A	`conf`	Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective. IROS Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu
2018	—	`conf`	Machine Learning and Knowledge Discovery in Analog Circuit Fault Detection. ICNC-FSKD Chijian Zhang, Junkai Li, Yanxi Zhang, Congcong Liu
2018	—	`conf`	On the Interaction between Gaze Behavior and Physiological Responses when Viewing Garden Scenes. EMBC Congcong Liu, Yawen Zhang, Karl Herrup, Bertram E. Shi
2018	—	`conf`	Physiological Responses of the Youth Viewing a Japanese Garden. EMBC Yawen Zhang, Congcong Liu, Karl Herrup, Bertram E. Shi
2017	—	`conf`	Remote gaze tracking system for 3D environments. EMBC Congcong Liu, Karl Herrup, Bertram E. Shi
2014	J	`jnl`	Linking inter-individual differences in the conflict adaptation effect to spontaneous brain activity. NeuroImage Ting Wang, Zhencai Chen, Guang Zhao, Glenn Hitchman, Congcong Liu, Xiaoyue Zhao, Yijun Liu, Antao Chen
2014	J	`jnl`	Uniform Stability of a Class of Fractional-Order Nonautonomous Systems with Multiple Time Delays. J. Appl. Math. Tao Zou, Jianfeng Qu, Yi Chai, Maoyun Guo, Congcong Liu
2006	B	`conf`	Getting parameters in power systems based on adaptive linear neural network. IJCNN Zhenfu Bi, Fusheng Wang, Congcong Liu