Hu Wang - RankMe

74 papers A* 8A 1B 1C 1Misc 1Journal 47Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Multimodal Learning with Missing Modality: A Survey. Trans. Mach. Learn. Res. Renjie Wu, Hu Wang, Hsiang-Ting Chen, Gustavo Carneiro
2025	A	`conf`	A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification. WACV Yuan Zhang, Yutong Xie, Hu Wang, Jodie C. Avery, M. Louise Hull, Gustavo Carneiro
2025	J	`jnl`	Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings. CoRR Dongli He, Hu Wang, Mohammad Yaqub
2025	—	`conf`	DiFUSAL: Diffusion-Based Fetal Ultrasound Synthesis with Active Learning. ASMUS@MICCAI Maryam Arjemandi, Salma Hassan, Hu Wang, Saudabi Valappi, Mohammad Yaqub
2025	J	`jnl`	DuPLUS: Dual-Prompt Vision-Language Framework for Universal Medical Image Segmentation and Prognosis. CoRR Numan Saeed, Tausifa Jan Saleem, Fadillah A. Maani, Muhammad Ridzuan, Hu Wang, Mohammad Yaqub
2025	J	`jnl`	EMedNeXt: An Enhanced Brain Tumor Segmentation Framework for Sub-Saharan Africa using MedNeXt V2 with Deep Supervision. CoRR Ahmed Jaheen, Abdelrahman Elsayed, Damir Kim, Daniil Tikhonov, Matheus Scatolin, Mohor Banerjee, Qiankun Ji, Mostafa Salem, Hu Wang, Sarim Hashmi, Mohammad Yaqub
2025	—	`conf`	EMedNeXt: An Enhanced Brain Tumor Segmentation Framework for Sub-saharan Africa Using MedNeXt V2 with Deep Supervision. BraTS-Lighthouse/AIMS-TBI@MICCAI (1) Ahmed Jaheen, Abdelrahman Elsayed, Damir Kim, Daniil Tikhonov, Matheus Scatolin, Mohor Banerjee, Qiankun Ji, Mostafa Salem, Hu Wang, Sarim Hashmi, Mohammad Yaqub
2025	J	`jnl`	In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models. CoRR Hu Wang, Ibrahim Almakky, Congbo Ma, Numan Saeed, Mohammad Yaqub
2025	J	`jnl`	Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning. CoRR Hu Wang, Congbo Ma, Ian D. Reid, Mohammad Yaqub
2025	—	`conf`	MISFIT: Modality Inference via Style Fusion and Invertible Translation for Cross-Modality Synthesis of 3D MRI Volumes. BraTS-Lighthouse/AIMS-TBI@MICCAI (2) Mohor Banerjee, Qiankun Ji, Sarim Hashmi, Abdelrahman Elsayed, Daniil Tikhonov, Matheus Scatolin, Ahmed Jaheen, Damir Kim, Hu Wang, Mostafa Salem, Mohammad Yaqub
2025	J	`jnl`	Modeling Variants of Prompts for Vision-Language Models. CoRR Ao Li, Zongfang Liu, Xinhua Li, Jinghui Zhang, Pengwei Wang, Hu Wang
2025	J	`jnl`	Predicting Brain Tumor Response to Therapy using a Hybrid Deep Learning and Radiomics Approach. CoRR Daniil Tikhonov, Matheus Scatolin, Mohor Banerjee, Qiankun Ji, Ahmed Jaheen, Mostafa Salem, Abdelrahman Elsayed, Hu Wang, Sarim Hashmi, Mohammad Yaqub
2025	J	`jnl`	SALT: Singular Value Adaptation with Low-Rank Transformation. CoRR Abdelrahman Elsayed, Sarim Hashmi, Mohammed Elseiagy, Hu Wang, Mohammad Yaqub, Ibrahim Almakky
2025	J	`jnl`	T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis. CoRR Raza Imam, Hu Wang, Dwarikanath Mahapatra, Mohammad Yaqub
2025	J	`jnl`	TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model. CoRR Ao Li, Yuxiang Duan, Jinghui Zhang, Congbo Ma, Yutong Xie, Gustavo Carneiro, Mohammad Yaqub, Hu Wang
2025	J	`jnl`	Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis. Comput. Medical Imaging Graph. Yuan Zhang, Hu Wang, David Butler, Brandon Smart, Yutong Xie, Minh-Son To, Steven Knox, George Condous, Mathew Leonardi, Jodie C. Avery, M. Louise Hull, Gustavo Carneiro
2024	J	`jnl`	A Comprehensive Survey on Deep Multimodal Learning with Missing Modality. CoRR Renjie Wu, Hu Wang, Hsiang-Ting Chen
2024	J	`jnl`	A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification. CoRR Yuan Zhang, Yutong Xie, Hu Wang, Jodie Avery, M. Louise Hull, Gustavo Carneiro
2024	A*	`conf`	CORELOCKER: Neuron-level Usage Control. SP Zihan Wang, Zhongkui Ma, Xinguo Feng, Ruoxi Sun, Hu Wang, Minhui Xue, Guangdong Bai
2024	—	`conf`	CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation. ECCV (10) Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro
2024	J	`jnl`	CPM: Class-conditional Prompting Machine for Audio-visual Segmentation. CoRR Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro
2024	J	`jnl`	Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective. IEEE Trans. Neural Networks Learn. Syst. Hao Lu, Liang Liu, Hu Wang, Zhiguo Cao
2024	B	`conf`	Disentangling Specificity for Abstractive Multi-document Summarization. IJCNN Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo
2024	J	`jnl`	Disentangling Specificity for Abstractive Multi-document Summarization. CoRR Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo
2024	J	`jnl`	Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. CoRR Hu Wang, Congbo Ma, Yuyuan Liu, Yuanhong Chen, Yu Tian, Jodie Avery, Louise Hull, Gustavo Carneiro
2024	J	`jnl`	Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis. CoRR Hu Wang, David Butler, Yuan Zhang, Jodie Avery, Steven Knox, Congbo Ma, Louise Hull, Gustavo Carneiro
2024	—	`conf`	ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. ECCV (1) Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2024	J	`jnl`	ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. CoRR Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
2024	—	`conf`	Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels. ISBI Daniel Petashvili, Hu Wang, Alison Deslandes, Jodie Avery, George Condous, Gustavo Carneiro, Louise Hull, Hsiang-Ting Chen
2024	J	`jnl`	Learning To Sample the Meta-Paths for Social Event Detection. CoRR Congbo Ma, Hu Wang, Zitai Qiu, Shan Xue, Jia Wu, Jian Yang, Preslav Nakov, Quan Z. Sheng
2024	J	`jnl`	ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Anal. Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia
2024	J	`jnl`	Rethinking Weight-Averaged Model-merging. CoRR Hu Wang, Congbo Ma, Ibrahim Almakky, Ian Reid, Gustavo Carneiro, Mohammad Yaqub
2024	A*	`conf`	Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. AAAI Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen
2024	A*	`conf`	Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. CVPR Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro
2023	J	`jnl`	A Closer Look at Audio-Visual Semantic Segmentation. CoRR Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro
2023	A*	`conf`	BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. ICCV Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro
2023	J	`jnl`	Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography. IEEE Trans. Comput. Soc. Syst. Zihan Wang, Olivia Byrnes, Hu Wang, Ruoxi Sun, Congbo Ma, Huaming Chen, Qi Wu, Minhui Xue
2023	—	`conf`	Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. ISBI Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro
2023	J	`jnl`	Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. CoRR Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro
2023	—	`conf`	Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. MICCAI (4) Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang, Jodie Avery, Louise Hull, Gustavo Carneiro
2023	J	`jnl`	Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. CoRR Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
2023	A*	`conf`	Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. CVPR Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
2023	J	`jnl`	Multi-document Summarization via Deep Learning Techniques: A Survey. ACM Comput. Surv. Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng
2023	J	`jnl`	Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling. CoRR Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
2023	J	`jnl`	Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. CoRR Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen
2023	—	`conf`	The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification. EMBC David Butler, Hu Wang, Yuan Zhang, Minh-Son To, George Condous, Mathew Leonardi, Steven Knox, Jodie Avery, M. Louise Hull, Gustavo Carneiro
2022	J	`jnl`	Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization. CoRR Congbo Ma, Wei Emma Zhang, Pitawelayalage Dasun Dileepa Pitawela, Yutong Qu, Haojie Zhuang, Hu Wang
2022	C	`conf`	Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. PACLIC Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo
2022	A*	`conf`	M$^4$I: Multi-modal Models Membership Inference. NeurIPS Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue
2022	J	`jnl`	M^4I: Multi-modal Models Membership Inference. CoRR Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue
2022	—	`conf`	Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. MICCAI (3) Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
2022	J	`jnl`	Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. CoRR Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
2022	—	`conf`	Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. ECCV (37) Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
2022	J	`jnl`	Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction. CoRR Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
2021	J	`jnl`	Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography. CoRR Olivia Byrnes, Wendy La, Hu Wang, Congbo Ma, Minhui Xue, Qi Wu
2021	J	`jnl`	Delayed Rewards Calibration via Reward Empirical Sufficiency. CoRR Yixuan Liu, Hu Wang, Xiaowei Wang, Xiaoyue Sun, Liuyue Jiang, Minhui Xue
2021	A*	`conf`	Fully Quantized Image Super-Resolution Networks. ACM Multimedia Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen
2021	J	`jnl`	Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. CoRR Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo
2021	J	`jnl`	Kernel Agnostic Real-world Image Super-resolution. CoRR Hu Wang, Congbo Ma, Chunhua Shen
2021	J	`jnl`	Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline. CoRR Hu Wang, Hao Chen, Qi Wu, Congbo Ma, Yidong Li, Chunhua Shen
2021	Misc	`conf`	Oriole: Thwarting Privacy Against Trustworthy Deep Learning Models. ACISP Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian
2021	J	`jnl`	Oriole: Thwarting Privacy against Trustworthy Deep Learning Models. CoRR Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian
2020	J	`jnl`	Fully Quantized Image Super-Resolution Networks. CoRR Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen
2020	J	`jnl`	Multi-document Summarization via Deep Learning Techniques: A Survey. CoRR Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng
2020	J	`jnl`	Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. CoRR Congbo Ma, Hu Wang, Steven C. H. Hoi
2020	J	`jnl`	Randomized Online CP Decomposition. CoRR Congbo Ma, Xiaowei Yang, Hu Wang
2020	J	`jnl`	Robust Watermarking Using Inverse Gradient Attention. CoRR Honglei Zhang, Hu Wang, Yidong Li, Yuanzhouhan Cao, Chunhua Shen
2020	—	`conf`	Soft Expert Reward Learning for Vision-and-Language Navigation. ECCV (9) Hu Wang, Qi Wu, Chunhua Shen
2020	J	`jnl`	Soft Expert Reward Learning for Vision-and-Language Navigation. CoRR Hu Wang, Qi Wu, Chunhua Shen
2020	A*	`conf`	Unsupervised Representation Learning by Predicting Random Distances. IJCAI Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma
2019	—	`conf`	Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. MICCAI (6) Congbo Ma, Hu Wang, Steven C. H. Hoi
2019	J	`jnl`	Unsupervised Representation Learning by Predicting Random Distances. CoRR Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma
2018	—	`conf`	Randomized online CP decomposition. ICACI Congbo Ma, Xiaowei Yang, Hu Wang
2017	—	`conf`	A Fast Image Matting Method Based on Interval-Line Sampling. CSE/EUC (1) Hu Wang, Zhongming Yang, Congbo Ma, Hongyue Wu, Mingting Ouyang