Xi Chen - RankMe

41 papers A* 2C 1Misc 3Journal 24Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Training. CoRR Jinbo Xing, Zeyinzi Jiang, Yuxiang Tuo, Chaojie Mao, Xiaotang Gai, Xi Chen, Jingfeng Zhang, Yulin Pan, Zhen Han, Jie Xiao, Keyu Yan, Xie Chen, Chongyang Zhong, Kai Zhu, Tong Shen, Lianghua Huang, Yu Liu, Yujiu Yang
2025	A*	`conf`	MangaNinja: Line Art Colorization with Precise Reference Following. CVPR Zhiheng Liu, Ka Leong Cheng, Xi Chen, Jie Xiao, Hao Ouyang, Kai Zhu, Yu Liu, Yujun Shen, Qifeng Chen, Ping Luo
2025	J	`jnl`	MangaNinja: Line Art Colorization with Precise Reference Following. CoRR Zhiheng Liu, Ka Leong Cheng, Xi Chen, Jie Xiao, Hao Ouyang, Kai Zhu, Yu Liu, Yujun Shen, Qifeng Chen, Ping Luo
2024	A*	`conf`	Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation. CVPR Siteng Huang, Biao Gong, Yutong Feng, Xi Chen, Yuqian Fu, Yu Liu, Donglin Wang
2024	J	`jnl`	Learning key lines for multi-object tracking. Comput. Vis. Image Underst. Yi-Fan Li, Hong-Bing Ji, Xi Chen, Yong-Liang Yang, Yu-Kun Lai
2024	J	`jnl`	Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction. Comput. Medical Imaging Graph. Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2024	—	`conf`	Phy-Diff: Physics-Guided Hourglass Diffusion Model for Diffusion MRI Synthesis. MICCAI (2) Juanhua Zhang, Ruodan Yan, Alessandro Perelli, Xi Chen, Chao Li
2023	J	`jnl`	CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis. CoRR Lan Jiang, Ye Mao, Xi Chen, Xiangfeng Wang, Chao Li
2023	—	`conf`	CoLa-Diff: Conditional Latent Diffusion Model for Multi-modal MRI Synthesis. MICCAI (10) Lan Jiang, Ye Mao, Xiangfeng Wang, Xi Chen, Chao Li
2023	J	`jnl`	DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution. CoRR Ye Mao, Lan Jiang, Xi Chen, Chao Li
2023	—	`conf`	DisC-Diff: Disentangled Conditional Diffusion Model for Multi-contrast MRI Super-Resolution. MICCAI (10) Ye Mao, Lan Jiang, Xi Chen, Chao Li
2023	—	`conf`	Expectation-Maximization Regularised Deep Learning for Tumour Segmentation. ISBI Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen J. Price, Carola-Bibiane Schönlieb
2023	—	`conf`	G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping. CMMCA@MICCAI Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2023	J	`jnl`	Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation. CoRR Siteng Huang, Biao Gong, Yutong Feng, Xi Chen, Yuqian Fu, Yu Liu, Donglin Wang
2023	J	`jnl`	Multi-Modal Learning for Predicting the Genotype of Glioma. IEEE Trans. Medical Imaging Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
2023	J	`jnl`	Multi-object tracking with robust object regression and association. Comput. Vis. Image Underst. Yi-Fan Li, Hong-Bing Ji, Xi Chen, Yu-Kun Lai, Yong-Liang Yang
2023	—	`conf`	Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories. ISBI Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
2022	—	`conf`	Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma. ISBI Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
2022	J	`jnl`	Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma. CoRR Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
2022	J	`jnl`	Enhanced Few-Shot Learning for Intrusion Detection in Railway Video Surveillance. IEEE Trans. Intell. Transp. Syst. Xiao Gong, Xi Chen, Zhangdui Zhong, Wei Chen
2022	J	`jnl`	Multi-modal learning for predicting the genotype of glioma. CoRR Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
2021	—	`conf`	Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma. BrainLes@MICCAI (1) Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2021	J	`jnl`	Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma. CoRR Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2021	J	`jnl`	Brain-inspired feature exaggeration in generative replay for continual learning. CoRR Jack Millichamp, Xi Chen
2021	—	`conf`	BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification. DGM4MICCAI/DALI@MICCAI Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb
2021	J	`jnl`	BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification. CoRR Chao Li, Yiran Wei, Xi Chen
2021	J	`jnl`	Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma. CoRR Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb
2021	—	`conf`	Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks. BrainLes@MICCAI (1) Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
2021	J	`jnl`	Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks. CoRR Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
2020	J	`jnl`	Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance. CoRR Xiao Gong, Xi Chen, Wei Chen
2019	J	`jnl`	Bayesian automated posterior repartitioning for nested sampling. CoRR Xi Chen, Farhan Feroz, Michael P. Hobson
2019	J	`jnl`	Bayesian surrogate learning in dynamic simulator-based regression problems. CoRR Xi Chen, Mike Hobson
2019	J	`jnl`	Improving the efficiency and robustness of nested sampling using posterior repartitioning. Stat. Comput. Xi Chen, Michael P. Hobson, Saptarshi Das, Paul Gelderblom
2017	J	`jnl`	Fast GPU-Based Seismogram Simulation From Microseismic Events in Marine Environments Using Heterogeneous Velocity Models. IEEE Trans. Computational Imaging Saptarshi Das, Xi Chen, Michael P. Hobson
2017	J	`jnl`	Fast GPU-Based Seismogram Simulation from Microseismic Events in Marine Environments Using Heterogeneous Velocity Models. CoRR Saptarshi Das, Xi Chen, Michael P. Hobson
2015	J	`jnl`	A Bayesian particle filtering method for brain source localisation. Digit. Signal Process. Xi Chen, Simo Särkkä, Simon J. Godsill
2013	Misc	`conf`	Multiple dipolar sources localization for MEG using Bayesian particle filtering. ICASSP Xi Chen, Simon J. Godsill
2013	C	`conf`	Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods. FUSION Xi Chen, Simo Särkkä, Simon J. Godsill
2011	Misc	`conf`	RSS-based node localization in the presence of attenuating objects. ICASSP Andrea Edelstein, Xi Chen, Yunpeng Li, Michael G. Rabbat
2011	Misc	`conf`	Sequential Monte Carlo Radio-Frequency tomographic tracking. ICASSP Yunpeng Li, Xi Chen, Mark Coates, Bo Yang
2011	—	`conf`	Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements. IPSN Xi Chen, Andrea Edelstein, Yunpeng Li, Mark Coates, Michael G. Rabbat, Aidong Men