Xiao Liu - RankMe

39 papers A* 1A 1Journal 24Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual Learning. KDD (1) Mingyuan Li, Chunyu Liu, Zhuojun Li, Xiao Liu, Guangsheng Yu, Bo Du, Jun Shen, Qiang Wu
2026	J	`jnl`	FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation. CoRR Jieyun Bai, Yitong Tang, Zihao Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Munoz, Hongyu Liu, Hui Meng, Nianjiang Lv, Bo Deng, Yu Chen, Zilun Peng, Yusong Xiao, Li Xiao, Nam-Khanh Tran, Dac-Phu Phan-Le, Hai-Dang Nguyen, Xiao Liu, Jiale Hu, Mingxu Huang, Jitao Liang, Chaolu Feng, Xuezhi Zhang, Lyuyang Tong, Bo Du, Ha-Hieu Pham, Thanh-Huy Nguyen, Min Xu, Juntao Jiang, Jiangning Zhang, Yong Liu, Md. Kamrul Hasan, Jie Gan, Zhuonan Liang, Weidong Cai, Yuxin Huang, Gongning Luo, Mohammad Yaqub, Karim Lekadir
2026	J	`jnl`	IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry. Medical Image Anal. Jieyun Bai, Yitong Tang, Xiao Liu, Jiale Hu, Yunda Li, Xufan Chen, Yufeng Wang, Chen Ma, Yunshu Li, Bowen Guo, Jing Jiao, Yi Huang, Kun Wang, Lifei Li, Yuzhang Ma, Xiaoxin Han, Haochen Shao, Zi Yang, Qingchen Liu, Yuchen Hu, Jingfan Kuang, Shanglin Song, Anirvan Krishna, Zaid Ahmed Khan, Zelan Li, Zhengyang Zhang, Hansen Zhang, Yan Cheng, Xuezhi Zhang, Xi Chen, Hao Yan, Lyuyang Tong, Bo Du, Bo Deng, Yu Chen, Zilun Peng, Saeid Rezaei, Jie Gan, Weidong Cai, Fangyijie Wang, Kathleen M. Curran, Guenole C. M. Silvestre, Isaac Khobo, Yaosheng Lu, Dong Ni, Yuxin Huang, Mohammad Yaqub, Jun Ma, Karim Lekadir, Shuo Li
2025	J	`jnl`	BlockFUL: Enabling Unlearning in Blockchained Federated Learning. IEEE Trans. Inf. Forensics Secur. Xiao Liu, Mingyuan Li, Guangsheng Yu, Xu Wang, Wei Ni, Lixiang Li, Haipeng Peng, Ren Ping Liu
2025	J	`jnl`	CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual Learning. CoRR Mingyuan Li, Chunyu Liu, Zhuojun Li, Xiao Liu, Guangsheng Yu, Bo Du, Jun Shen, Qiang Wu
2025	J	`jnl`	Parallel Unlearning in Inherited Model Networks. IEEE Trans. Inf. Forensics Secur. Xiao Liu, Mingyuan Li, Guangsheng Yu, Lixiang Li, Haipeng Peng, Ren Ping Liu
2024	J	`jnl`	Compositionally Equivariant Representation Learning. IEEE Trans. Medical Imaging Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2024	J	`jnl`	Decentralized Federated Unlearning on Blockchain. CoRR Xiao Liu, Mingyuan Li, Xu Wang, Guangsheng Yu, Wei Ni, Lixiang Li, Haipeng Peng, Ren Ping Liu
2024	J	`jnl`	Fishers Harvest Parallel Unlearning in Inherited Model Networks. CoRR Xiao Liu, Mingyuan Li, Xu Wang, Guangsheng Yu, Wei Ni, Lixiang Li, Haipeng Peng, Ren Ping Liu
2023	—	`conf`	Compositional Representation Learning for Brain Tumour Segmentation. DART@MICCAI Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil
2023	J	`jnl`	Compositional Representation Learning for Brain Tumour Segmentation. CoRR Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil
2023	J	`jnl`	Compositionally Equivariant Representation Learning. CoRR Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	A*	`conf`	Diffusion Models for Causal Discovery via Topological Ordering. ICLR Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	—	`conf`	Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	J	`jnl`	Group Distributionally Robust Knowledge Distillation. CoRR Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	—	`ed.`	Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings MAD@MICCAI Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
2022	—	`conf`	Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
2022	J	`jnl`	Diffusion Models for Causal Discovery via Topological Ordering. CoRR Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	—	`conf`	HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. MAD@MICCAI Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. CoRR Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	Learning disentangled representations in the imaging domain. Medical Image Anal. Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	—	`conf`	What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. DGM4MICCAI@MICCAI Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	—	`conf`	Why Patient Data Cannot Be Easily Forgotten? MICCAI (8) Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris
2022	J	`jnl`	Why patient data cannot be easily forgotten? CoRR Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris
2022	—	`conf`	vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	A Tutorial on Learning Disentangled Representations in the Imaging Domain. CoRR Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2021	—	`conf`	Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic. MICCAI (3) Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	Controllable cardiac synthesis via disentangled anatomy arithmetic. CoRR Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris
2021	A	`conf`	Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir
2021	—	`conf`	Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. MICCAI (2) Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation. CoRR Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris
2020	—	`conf`	Disentangled Representations for Domain-Generalized Cardiac Segmentation. M&Ms and EMIDEC/STACOM@MICCAI Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
2020	J	`jnl`	Disentangled Representations for Domain-generalized Cardiac Segmentation. CoRR Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
2020	—	`conf`	Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data. MICCAI (1) Xiao Liu, Sotirios A. Tsaftaris
2020	J	`jnl`	Have you forgotten? A method to assess if machine learning models have forgotten data. CoRR Xiao Liu, Sotirios A. Tsaftaris
2020	J	`jnl`	Metrics for Exposing the Biases of Content-Style Disentanglement. CoRR Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris