Hongxiang Lin - RankMe

39 papers A* 4A 3Misc 1Journal 14Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SEQUAL: Self-refining and effective querying active learning with pseudo label divergence score for carotid intima-media segmentation in ultrasound. Medical Image Anal. Yucheng Tang, Yipeng Hu, Jing Li, Hu Lin, Chao Rong, Ciyuan Feng, Xiuzhen Yang, Xiang Xu, Ke Huang, Hongxiang Lin
2025	A	`conf`	ConGM: Contrastive Graph Matching for Graph Self-Supervised Learning. CIKM Hongxiang Lin, Lei Wang, Huiying Hu, Xiaoqing Lyu
2025	J	`jnl`	Dynamic Forgetting and Spatio-Temporal Periodic Interest Modeling for Local-Life Service Recommendation. CoRR Zhaoyu Hu, Hao Guo, Yuan Tian, Erpeng Xue, Jianyang Wang, Xianyang Qi, Hongxiang Lin, Lei Wang, Sheng Chen
2025	A*	`conf`	Improving Link Sign Prediction in Signed Bipartite Graphs via Balanced Line Graphs. SIGIR Hongxiang Lin, Yixiao Zhou, Huiying Hu, Xiaoqing Lyu
2025	J	`jnl`	MTmixAtt: Integrating Mixture-of-Experts with Multi-Mix Attention for Large-Scale Recommendation. CoRR Xianyang Qi, Yuan Tian, Zhaoyu Hu, Zhirui Kuai, Chang Liu, Hongxiang Lin, Lei Wang
2025	A*	`conf`	Multi-Interest Matching for Personalized News Recommendation with Large Language Models. SIGIR Hongxiang Lin, Yixiao Zhou, Huiying Hu, Xiaoqing Lyu
2025	—	`conf`	SMA-GNN: A Symbol-Aware Graph Neural Network for Signed Link Prediction in Recommender Systems. KDD (2) Yumeng Zhao, Hongxiang Lin, Shuo Wen, Junjie Shen, Bei Hua
2025	J	`jnl`	When Relevance Meets Novelty: Dual-Stable Periodic Optimization for Exploratory Recommendation. CoRR Hongxiang Lin, Hao Guo, Zeshun Li, Erpeng Xue, Yongqian He, Xiangyu Hou, Zhaoyu Hu, Lei Wang, Sheng Chen
2024	—	`conf`	FPGA Oriented Lightweight Deep Learning Inference for Liver Cancer Segmentation. ISBI Yingying Xu, Yinjie Wang, Qingqing Chen, Hongjie Hu, Huimin Huang, Lanfen Lin, Yen-Wei Chen, Jingsong Li, Hongxiang Lin
2024	—	`conf`	Graph Matching Based Graph Self-Supervised Learning for Molecular Property Prediction. BIBM Hongxiang Lin, Yixiao Zhou, Huiying Hu, Zhicheng He, Runzhi Wu, Xiaoqing Lyu
2024	Misc	`conf`	Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction. ICASSP Minghui Wu, Yangdi Xu, Yingying Xu, Guangwei Wu, Qingqing Chen, Hongxiang Lin
2023	—	`conf`	A joint method of coherence factor and nonlinear beamforming for synthetic aperture imaging with a ring array. EMBC Zhengfeng Lan, Chao Rong, Changshan Han, Xiaolei Qu, Jingsong Li, Hongxiang Lin
2023	—	`conf`	Auto-tuning numerical method for acoustic wave simulation using analytical solution. EMBC He Huang, Zheng Li, Changshan Han, Guangwei Wu, Zeyu Zhuang, Jingsong Li, Hongxiang Lin
2023	A	`conf`	Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. CIKM Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang
2023	J	`jnl`	CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning. Int. J. Intell. Syst. Syed Furqan Qadri, Hongxiang Lin, Linlin Shen, Mubashir Ahmad, Salman Qadri, Salabat Khan, Maqbool Khan, Syeda Shamaila Zareen, Muhammad Azeem Akbar, Md Belal Bin Heyat, Saqib Qamar
2023	—	`conf`	Deep Fusion Network Based Sparse View CT Reconstructions for Clinical Diagnostic Scanners. EMBC Yangdi Xu, Jingsong Li, Hongxiang Lin
2023	—	`conf`	Enabling Large Language Models to Think Twice When Its Answer Is Unreliable: A Case Study In Cancer Screening. BIBM Minchong Wu, Hongxiang Lin, Xiaoqing Lyu, Chenrui Zhang, Sun Yu
2023	A*	`conf`	Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning. SIGIR Hongxiang Lin, Ruiqi Jia, Xiaoqing Lyu
2023	A*	`conf`	Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network. NeurIPS Yixiao Zhou, Ruiqi Jia, Hongxiang Lin, Hefeng Quan, Yumeng Zhao, Xiaoqing Lyu
2023	J	`jnl`	Low-field magnetic resonance image enhancement via stochastic image quality transfer. CoRR Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2023	J	`jnl`	Low-field magnetic resonance image enhancement via stochastic image quality transfer. Medical Image Anal. Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2023	—	`conf`	PLD-AL: Pseudo-label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images. MICCAI (2) Yucheng Tang, Yipeng Hu, Jing Li, Hu Lin, Xiang Xu, Ke Huang, Hongxiang Lin
2023	—	`conf`	Pulse Stretching Correction for Improving Ultrasound Image Resolution. EMBC Changshan Han, He Huang, Zhengfeng Lan, Zeyu Zhuang, Jingsong Li, Hongxiang Lin
2022	J	`jnl`	Adaptively Re-weighting Multi-Loss Untrained Transformer for Sparse-View Cone-Beam CT Reconstruction. CoRR Minghui Wu, Yangdi Xu, Yingying Xu, Guangwei Wu, Qingqing Chen, Hongxiang Lin
2022	J	`jnl`	An Experiment Design Paradigm using Joint Feature Selection and Task Optimization. CoRR Stefano B. Blumberg, Hongxiang Lin, Yukun Zhou, Paddy Slator, Daniel C. Alexander
2022	A	`conf`	Continual Contrastive Learning for Image Classification. ICME Zhiwei Lin, Yongtao Wang, Hongxiang Lin
2022	—	`conf`	Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. MICCAI (6) Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander
2022	J	`jnl`	Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. CoRR Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander
2021	—	`conf`	AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation. ICANN (1) Wen Youpeng, Hongxiang Lin, Guo Yiju, Zhao Liang
2021	J	`jnl`	Continual Contrastive Self-supervised Learning for Image Classification. CoRR Zhiwei Lin, Yongtao Wang, Hongxiang Lin
2021	—	`conf`	Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts. MICCAI (6) Hongxiang Lin, Yukun Zhou, Paddy J. Slator, Daniel C. Alexander
2021	—	`conf`	Learning to Address Intra-segment Misclassification in Retinal Imaging. MICCAI (1) Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
2021	J	`jnl`	Learning to Address Intra-segment Misclassification in Retinal Imaging. CoRR Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
2020	J	`jnl`	Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients. CoRR Matteo Figini, Hongxiang Lin, Godwin Ogbole, Felice D'Arco, Stefano B. Blumberg, David W. Carmichael, Ryutaro Tanno, Enrico Kaden, Biobele J. Brown, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2019	—	`conf`	ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression. ABCD-NP@MICCAI Ágoston Mihalik, Mikael Brudfors, Maria Robu, Fabio S. Ferreira, Hongxiang Lin, Anita Rau, Tong Wu, Stefano B. Blumberg, Baris Kanber, Maira Tariq, Mar Estarellas Garcia, Cemre Zor, Daniil I. Nikitichev, Janaina Mourão Miranda, Neil P. Oxtoby
2019	—	`conf`	ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology. ABCD-NP@MICCAI Neil P. Oxtoby, Fabio S. Ferreira, Ágoston Mihalik, Tong Wu, Mikael Brudfors, Hongxiang Lin, Anita Rau, Stefano B. Blumberg, Maria Robu, Cemre Zor, Maira Tariq, Mar Estarellas Garcia, Baris Kanber, Daniil I. Nikitichev, Janaina Mourão Miranda
2019	—	`conf`	Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. MLMIR@MICCAI Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2019	J	`jnl`	Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. CoRR Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2018	—	`conf`	Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors. MICCAI (1) Hongxiang Lin, Takashi Azuma, Mehmet Burcin Unlu, Shu Takagi