Chengjia Wang - RankMe

53 papers A 1B 1C 1Misc 1Journal 39Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification. CoRR Qin Jiang, Chengjia Wang, Michael Lones, Dongdong Chen, Wei Pang
2026	J	`jnl`	SeLoRA: Self-expanding LoRA for high-quality and efficient medical image synthesis. Expert Syst. Appl. Yuchen Mao, Hongwei Bran Li, Wei Pang, Giorgos Papanastasiou, Guang Yang, Ehsan Mohammadi Pasand, Theodore Harrison-Drummond, Chengjia Wang
2025	J	`jnl`	A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization. CoRR Peng Qi, Wenxi Qu, Tianliang Yao, Haonan Ma, Dylan Wintle, Yinyi Lai, Giorgos Papanastasiou, Chengjia Wang
2025	J	`jnl`	Demystifying MPNNs: Message Passing as Merely Efficient Matrix Multiplication. CoRR Qin Jiang, Chengjia Wang, Michael Lones, Wei Pang
2025	J	`jnl`	Leveraging LLM Agents for Automated Video Game Testing. CoRR Chengjia Wang, Lanling Tang, Ming Yuan, Jiongchi Yu, Xiaofei Xie, Jiajun Bu
2025	C	`conf`	REF-VC: Robust, Expressive and Fast Zero-Shot Voice Conversion with Diffusion Transformers. ASRU Yuepeng Jiang, Ziqian Ning, Shuai Wang, Chengjia Wang, Mengxiao Bi, Pengcheng Zhu, Zhonghua Fu, Lei Xie
2025	J	`jnl`	Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models. CoRR Yuchen Mao, Hongwei Li, Yinyi Lai, Giorgos Papanastasiou, Peng Qi, Yunjie Yang, Chengjia Wang
2024	Misc	`conf`	Audio-Aided Learning Framework for Image Classification with Limited Training Images. ICASSP Qi Wu, Chengjia Wang, Xiaohui Li, Guangxing Wu, Marta Vallejo, Ruixuan Wang
2024	J	`jnl`	Is Attention all You Need in Medical Image Analysis? A Review. IEEE J. Biomed. Health Informatics Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang
2024	J	`jnl`	Scale Invariance of Graph Neural Networks. CoRR Qin Jiang, Chengjia Wang, Michael Lones, Wei Pang
2024	J	`jnl`	ScaleNet: Scale Invariance Learning in Directed Graphs. CoRR Qin Jiang, Chengjia Wang, Michael Lones, Yingfang Yuan, Wei Pang
2024	J	`jnl`	SeLoRA: Self-Expanding Low-Rank Adaptation of Latent Diffusion Model for Medical Image Synthesis. CoRR Yuchen Mao, Hongwei Li, Wei Pang, Giorgos Papanastasiou, Guang Yang, Chengjia Wang
2023	J	`jnl`	Editorial: Advances in machine learning methods facilitating collaborative image-based decision making for neuroscience. Frontiers Comput. Neurosci. Chengjia Wang, Heye Zhang, Georgios Papanastasiou, Guang Yang
2023	J	`jnl`	Enhancing percutaneous coronary intervention with heuristic path planning and deep-learning-based vascular segmentation. Comput. Biol. Medicine Tianliang Yao, Chengjia Wang, Xinyi Wang, Xiang Li, Zhaolei Jiang, Peng Qi
2023	J	`jnl`	Explainable unsupervised multi-modal image registration using deep networks. CoRR Chengjia Wang, Giorgos Papanastasiou
2023	J	`jnl`	Is attention all you need in medical image analysis? A review. CoRR Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang
2022	J	`jnl`	Annealing Genetic GAN for Imbalanced Web Data Learning. IEEE Trans. Multim. Jingyu Hao, Chengjia Wang, Guang Yang, Zhifan Gao, Jinglin Zhang, Heye Zhang
2022	—	`conf`	CS MICCAI (8) Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang
2022	J	`jnl`	CS CoRR Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang
2022	—	`conf`	Deep Dynamic-Range Compression of Infrared Video Camera. CICAI (1) Bingcai Sun, Chengjia Wang, Jinrui Deng, Ying Zhang, Xueqi Wang
2022	J	`jnl`	Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. Appl. Soft Comput. Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang
2022	J	`jnl`	Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysis. CoRR Chengjia Wang, Guang Yang, Giorgos Papanastasiou
2022	J	`jnl`	Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis. Sensors Chengjia Wang, Guang Yang, Giorgos Papanastasiou
2021	J	`jnl`	DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. Inf. Fusion Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray
2021	J	`jnl`	Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. IEEE Trans. Medical Imaging Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2021	B	`conf`	FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks. CBMS Chengjia Wang, Guang Yang, Giorgos Papanastasiou
2021	J	`jnl`	Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation. IEEE Trans. Ind. Informatics Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Heye Zhang, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque
2021	J	`jnl`	Learning to synthesise the ageing brain without longitudinal data. Medical Image Anal. Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Pharmacokinetic modelling for the simultaneous assessment of perfusion and NeuroImage Giorgos Papanastasiou, Mark A. Rodrigues, Chengjia Wang, Kerstin Heurling, Christophe Lucatelli, Rustam Al-Shahi Salman, Joanna M. Wardlaw, Edwin J. R. van Beek, Gerard Thompson
2021	J	`jnl`	Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images. CoRR Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang
2020	A	`conf`	Annealing Genetic GAN for Minority Oversampling. BMVC Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang
2020	J	`jnl`	Annealing Genetic GAN for Minority Oversampling. CoRR Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang
2020	—	`conf`	Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness. MICCAI (2) Yifeng Guo, Chengjia Wang, Heye Zhang, Guang Yang
2020	J	`jnl`	Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness. CoRR Yifeng Guo, Chengjia Wang, Heye Zhang, Guang Yang
2020	J	`jnl`	MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis. Comput. Biol. Medicine Ming Li, Chengjia Wang, Heye Zhang, Guang Yang
2020	J	`jnl`	Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling. CoRR Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris
2020	—	`conf`	Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. MyoPS@MICCAI Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris
2020	J	`jnl`	SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT. IEEE Trans. Ind. Informatics Chengjia Wang, Shizhou Dong, Xiaofeng Zhao, Giorgos Papanastasiou, Heye Zhang, Guang Yang
2019	J	`jnl`	Disentangle, align and fuse for multimodal and zero-shot image segmentation. CoRR Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	Distance Oriented Particle Swarm Optimizer for Brain Image Registration. IEEE Access Chengjia Wang, Keith A. Goatman, James P. Boardman, Erin Beveridge, David E. Newby, Scott I. Semple
2019	J	`jnl`	Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang
2019	J	`jnl`	FIRE: Unsupervised bi-directional inter-modality registration using deep networks. CoRR Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang
2019	J	`jnl`	Learning to synthesise the ageing brain without longitudinal data. CoRR Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris
2019	—	`conf`	Multimodal Cardiac Segmentation Using Disentangled Representation Learning. STACOM@MICCAI Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation. CoRR Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li
2019	—	`conf`	Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation. MICCAI (2) Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li
2019	—	`conf`	TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. MLMIR@MICCAI Chengjia Wang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Guang Yang, Calum D. Gray, David E. Newby, Gillian Macnaught, Tom J. MacGillivray
2018	J	`jnl`	A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration. CoRR Chengjia Wang, Keith A. Goatman, James P. Boardman, Erin Beveridge, David E. Newby, Scott Semple
2018	—	`conf`	A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data. STACOM@MICCAI Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby
2018	J	`jnl`	A two-stage 3D Unet framework for multi-class segmentation on full resolution image. CoRR Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby
2018	—	`conf`	Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks. SASHIMI@MICCAI Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby
2018	J	`jnl`	Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks. CoRR Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby
2015	—	`conf`	Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning. ISBI Chengjia Wang, Keith A. Goatman, Tom J. MacGillivray, Erin Beveridge, Yolanda G. Sourgia Koutraki, James P. Boardman, Colin Stirrat, Sarah A. Sparrow, Emma Moore, Rozi Paraky, Shirjel Alam, Marc R. Dweck, Calvin Chin, Calum D. Gray, David E. Newby, Scott Semple