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ORCIDHu Wang 0005
Person information
- affiliation: University of Adelaide, Australian Institute for Machine Learning, Australia
- affiliation: Singapore Management University, Living Analytics Research Centre, Singapore
- affiliation: South China University of Technology, College of Software Engineering, Guangzhou, China
Other persons with the same name
- Hu Wang — disambiguation page
- Hu Wang 0001
![[0000-0003-3785-5689]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3785-5689")
— Central University of Finance and Economics, School of Statistics and Mathematics, Beijing, China (and 1 more) - Hu Wang 0002 — Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, China
- Hu Wang 0003 — Shanghai University, School of Communication and Information Engineering, China
- Hu Wang 0004 — Southeast University, School of Economics and Management, Nanjing, China
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Journal Articles
- 2024
[j3]Hao Lu, Liang Liu, Hu Wang, Zhiguo Cao:
Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5141-5154 (2024)- 2023
- [j2]Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng:
Multi-document Summarization via Deep Learning Techniques: A Survey. ACM Comput. Surv. 55(5): 102:1-102:37 (2023) - [j1]Zihan Wang, Olivia Byrnes, Hu Wang, Ruoxi Sun, Congbo Ma, Huaming Chen, Qi Wu, Minhui Xue:
Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography. IEEE Trans. Comput. Soc. Syst. 10(6): 2985-2999 (2023)
Conference and Workshop Papers
- 2024
- [c21]Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen:
Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. AAAI 2024: 6100-6108 - [c20]Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro:
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. CVPR 2024: 26487-26497 - [c19]Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo:
Disentangling Specificity for Abstractive Multi-document Summarization. IJCNN 2024: 1-8 - [c18]Daniel Petashvili, Hu Wang, Alison Deslandes, Jodie Avery, George Condous, Gustavo Carneiro, Louise Hull, Hsiang-Ting Chen:
Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels. ISBI 2024: 1-5 - [c17]Zihan Wang, Zhongkui Ma, Xinguo Feng, Ruoxi Sun, Hu Wang, Minhui Xue, Guangdong Bai:
CORELOCKER: Neuron-level Usage Control. SP 2024: 2497-2514 - 2023
- [c16]Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. CVPR 2023: 15878-15887 - [c15]David Butler, Hu Wang, Yuan Zhang, Minh-Son To, George Condous, Mathew Leonardi, Steven Knox, Jodie Avery, M. Louise Hull, Gustavo Carneiro:
The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification. EMBC 2023: 1-5 - [c14]Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro:
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. ICCV 2023: 21227-21238 - [c13]Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro:
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. ISBI 2023: 1-5 - [c12]Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang, Jodie Avery, Louise Hull, Gustavo Carneiro:
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. MICCAI (4) 2023: 216-226 - 2022
- [c11]Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. ECCV (37) 2022: 200-217 - [c10]Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. MICCAI (3) 2022: 3-13 - [c9]Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue:
M$^4$I: Multi-modal Models Membership Inference. NeurIPS 2022 - [c8]Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo:
Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. PACLIC 2022: 147-156 - 2021
- [c7]Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian:
Oriole: Thwarting Privacy Against Trustworthy Deep Learning Models. ACISP 2021: 550-568 - [c6]Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen:
Fully Quantized Image Super-Resolution Networks. ACM Multimedia 2021: 639-647 - 2020
- [c5]Hu Wang, Qi Wu, Chunhua Shen:
Soft Expert Reward Learning for Vision-and-Language Navigation. ECCV (9) 2020: 126-141 - [c4]Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma:
Unsupervised Representation Learning by Predicting Random Distances. IJCAI 2020: 2950-2956 - 2019
- [c3]Congbo Ma, Hu Wang, Steven C. H. Hoi:
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. MICCAI (6) 2019: 730-738 - 2018
- [c2]Congbo Ma, Xiaowei Yang, Hu Wang:
Randomized online CP decomposition. ICACI 2018: 414-419 - 2017
- [c1]Hu Wang, Zhongming Yang, Congbo Ma, Hongyue Wu, Mingting Ouyang:
A Fast Image Matting Method Based on Interval-Line Sampling. CSE/EUC (1) 2017: 912-915
Informal and Other Publications
- 2024
- [i27]Hu Wang, Congbo Ma, Yuyuan Liu, Yuanhong Chen, Yu Tian, Jodie Avery, Louise Hull, Gustavo Carneiro:
Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. CoRR abs/2405.07155 (2024) - [i26]Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo:
Disentangling Specificity for Abstractive Multi-document Summarization. CoRR abs/2406.00005 (2024) - [i25]Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro:
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation. CoRR abs/2407.05358 (2024) - [i24]Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. CoRR abs/2407.07171 (2024) - [i23]Hu Wang, David Butler, Yuan Zhang, Jodie Avery, Steven Knox, Congbo Ma, Louise Hull, Gustavo Carneiro:
Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis. CoRR abs/2409.02046 (2024) - 2023
- [i22]Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro:
A Closer Look at Audio-Visual Semantic Segmentation. CoRR abs/2304.02970 (2023) - [i21]Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro:
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. CoRR abs/2307.02000 (2023) - [i20]Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling. CoRR abs/2307.14126 (2023) - [i19]Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. CoRR abs/2310.01035 (2023) - [i18]Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen:
Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. CoRR abs/2312.08673 (2023) - 2022
- [i17]Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction. CoRR abs/2207.10851 (2022) - [i16]Congbo Ma, Wei Emma Zhang, Pitawelayalage Dasun Dileepa Pitawela, Yutong Qu, Haojie Zhuang, Hu Wang:
Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization. CoRR abs/2209.05929 (2022) - [i15]Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue:
M^4I: Multi-modal Models Membership Inference. CoRR abs/2209.06997 (2022) - [i14]Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. CoRR abs/2209.10478 (2022) - 2021
- [i13]Hu Wang, Hao Chen, Qi Wu, Congbo Ma, Yidong Li, Chunhua Shen:
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline. CoRR abs/2101.09640 (2021) - [i12]Yixuan Liu, Hu Wang, Xiaowei Wang, Xiaoyue Sun, Liuyue Jiang, Minhui Xue:
Delayed Rewards Calibration via Reward Empirical Sufficiency. CoRR abs/2102.10527 (2021) - [i11]Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian:
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models. CoRR abs/2102.11502 (2021) - [i10]Hu Wang, Congbo Ma, Chunhua Shen:
Kernel Agnostic Real-world Image Super-resolution. CoRR abs/2104.09008 (2021) - [i9]Olivia Byrnes, Wendy La, Hu Wang, Congbo Ma, Minhui Xue, Qi Wu:
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography. CoRR abs/2107.09287 (2021) - [i8]Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo:
Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. CoRR abs/2109.11199 (2021) - 2020
- [i7]Congbo Ma, Xiaowei Yang, Hu Wang:
Randomized Online CP Decomposition. CoRR abs/2007.10798 (2020) - [i6]Hu Wang, Qi Wu, Chunhua Shen:
Soft Expert Reward Learning for Vision-and-Language Navigation. CoRR abs/2007.10835 (2020) - [i5]Congbo Ma, Hu Wang, Steven C. H. Hoi:
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. CoRR abs/2007.10859 (2020) - [i4]Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng:
Multi-document Summarization via Deep Learning Techniques: A Survey. CoRR abs/2011.04843 (2020) - [i3]Honglei Zhang, Hu Wang, Yidong Li, Yuanzhouhan Cao, Chunhua Shen:
Robust Watermarking Using Inverse Gradient Attention. CoRR abs/2011.10850 (2020) - [i2]Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen:
Fully Quantized Image Super-Resolution Networks. CoRR abs/2011.14265 (2020) - 2019
- [i1]Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma:
Unsupervised Representation Learning by Predicting Random Distances. CoRR abs/1912.12186 (2019)
Coauthor Index
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