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2020 – today
- 2024
[j18]Tao Jiang, Yi Wang
, Feng Hou, Ruili Wang:
IENet: inheritance enhancement network for video salient object detection. Multim. Tools Appl. 83(28): 72007-72026 (2024)- [j17]Jin Yuan, Feng Hou, Ying Yang, Yang Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Zhiqiang He, Yong Rui:
Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation. IEEE Trans. Multim. 26: 7210-7224 (2024) - [j16]Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
A Survey of Visual Transformers. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7478-7498 (2024) - [c17]Haibin Zhu, Mozhdeh Noroozi Rasoolabadi, Feng Hou, Tianshuo Yang, Chun Wang, Lisa Kaida:
Refugee Resettlement: Why a Computational Method using E-CARGO is Better? ICHMS 2024: 1-6 - [c16]Yuan Gao, Feng Hou, Ruili Wang:
A Novel Two-step Fine-tuning Framework for Transfer Learning in Low-Resource Neural Machine Translation. NAACL-HLT (Findings) 2024: 3214-3224 - [i14]Feng Hou, Jin Yuan, Ying Yang, Yang Liu, Yang Zhang, Cheng Zhong, Zhongchao Shi, Jianping Fan, Yong Rui, Zhiqiang He:
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization. CoRR abs/2403.02714 (2024) - 2023
- [j15]Ting Guo, Feng Hou, Yan Pang, Xiaoyun Jia, Zhongwei Wang, Ruili Wang:
Learning and integration of adaptive hybrid graph structures for multivariate time series forecasting. Inf. Sci. 648: 119560 (2023) - [j14]Feng Hou, Ruili Wang, See-Kiong Ng, Michael Witbrock, Fangyi Zhu, Xiaoyun Jia:
Exploiting anonymous entity mentions for named entity linking. Knowl. Inf. Syst. 65(3): 1221-1242 (2023) - [j13]Rui Hong, Feng Yao, Tianjun Liao, Lining Xing, Zhaoquan Cai, Feng Hou:
Growing neural gas assisted evolutionary many-objective optimization for handling irregular Pareto fronts. Swarm Evol. Comput. 78: 101273 (2023) - [j12]Ruili Wang, Feng Hou, Steven F. Cahan, Li Chen, Xiaoyun Jia, Wanting Ji:
Fine-Grained Entity Typing With a Type Taxonomy: A Systematic Review. IEEE Trans. Knowl. Data Eng. 35(5): 4794-4812 (2023) - [c15]Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
Learning How to Learn Domain-Invariant Parameters for Domain Generalization. ICASSP 2023: 1-5 - [c14]Zhihan Wang, Feng Hou, Ruili Wang:
CLRL-Tuning: A Novel Continual Learning Approach for Automatic Speech Recognition. INTERSPEECH 2023: 1279-1283 - [c13]Satwinder Singh, Feng Hou, Ruili Wang:
A Novel Self-training Approach for Low-resource Speech Recognition. INTERSPEECH 2023: 1588-1592 - [c12]Chengxi Lei, Satwinder Singh, Feng Hou, Xiaoyun Jia, Ruili Wang:
PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition. MMAsia (Workshops) 2023: 2:1-2:6 - [i13]Yuan Gao, Ruili Wang, Feng Hou:
How to Design Translation Prompts for ChatGPT: An Empirical Study. CoRR abs/2304.02182 (2023) - [i12]Satwinder Singh, Feng Hou, Ruili Wang:
A Novel Self-training Approach for Low-resource Speech Recognition. CoRR abs/2308.05269 (2023) - [i11]Chengxi Lei, Satwinder Singh, Feng Hou, Xiaoyun Jia, Ruili Wang:
PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition. CoRR abs/2312.08571 (2023) - 2022
- [j11]Yuanhang Qiu, Ruili Wang, Feng Hou, Satwinder Singh, Zhizhong Ma, Xiaoyun Jia:
Adversarial multi-task learning with inverse mapping for speech enhancement. Appl. Soft Comput. 120: 108568 (2022) - [j10]Huifeng Wu, Yi Yan, Baiping Chen, Feng Hou, Danfeng Sun:
FADA: A Cloud-Fog-Edge Architecture and Ontology for Data Acquisition. IEEE Trans. Cloud Comput. 10(3): 1792-1805 (2022) - [c11]Satwinder Singh, Ruili Wang, Feng Hou:
Improved Meta Learning for Low Resource Speech Recognition. ICASSP 2022: 4798-4802 - [c10]Zhizhong Ma, Yuanhang Qiu, Feng Hou, Ruili Wang, Joanna Ting Wai Chu, Chris Bullen:
Determining the best Acoustic Features for Smoker Identification. ICASSP 2022: 8177-8181 - [c9]Zhihan Wang, Feng Hou, Yuanhang Qiu, Zhizhong Ma, Satwinder Singh, Ruili Wang:
CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition. INTERSPEECH 2022: 3859-3863 - [c8]Tao Jiang, Ming Zong, Yujun Ma, Feng Hou, Ruili Wang:
MobileACNet: ACNet-Based Lightweight Model for Image Classification. IVCNZ 2022: 361-372 - [c7]Jin Yuan, Feng Hou, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation. ACM Multimedia 2022: 3907-3916 - [c6]Zhizhong Ma, Satwinder Singh, Yuanhang Qiu, Feng Hou, Ruili Wang, Christopher Bullen, Joanna Ting Wai Chu:
Automatic Speech-Based Smoking Status Identification. SAI (3) 2022: 193-203 - [i10]Jin Yuan, Feng Hou, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation. CoRR abs/2204.05104 (2022) - [i9]Satwinder Singh, Ruili Wang, Feng Hou:
Improved Meta Learning for Low Resource Speech Recognition. CoRR abs/2205.06182 (2022) - [i8]Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
Learning to Learn Domain-invariant Parameters for Domain Generalization. CoRR abs/2211.04582 (2022) - 2021
- [j9]Feng Hou, Ruili Wang, Yi Zhou:
Transfer learning for fine-grained entity typing. Knowl. Inf. Syst. 63(4): 845-866 (2021) - [j8]Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Christopher Weight:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Anal. 67: 101821 (2021) - [j7]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [j6]Wanting Ji, Yan Pang, Xiaoyun Jia, Zhongwei Wang, Feng Hou, Baoyan Song, Mingzhe Liu, Ruili Wang:
Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review. WIREs Data Mining Knowl. Discov. 11(3) (2021) - [c5]Yuanhang Qiu, Ruili Wang, Satwinder Singh, Zhizhong Ma, Feng Hou:
Self-Supervised Learning Based Phone-Fortified Speech Enhancement. Interspeech 2021: 211-215 - [i7]Feng Hou, Ruili Wang, Jun He, Yi Zhou:
Improving Entity Linking through Semantic Reinforced Entity Embeddings. CoRR abs/2106.08495 (2021) - [i6]Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
A Survey of Visual Transformers. CoRR abs/2111.06091 (2021) - 2020
- [j5]Peiying Shi, Feng Hou, Xiangwei Zheng, Feng Yuan:
Analysis of electronic health records based on long short-term memory. Concurr. Comput. Pract. Exp. 32(14) (2020) - [j4]Xiaofang Li, Yirui Wu, Wen Zhang, Ruichao Wang, Feng Hou:
Deep learning methods in real-time image super-resolution: a survey. J. Real Time Image Process. 17(6): 1885-1909 (2020) - [c4]Feng Hou, Ruili Wang, Jun He, Yi Zhou:
Improving Entity Linking through Semantic Reinforced Entity Embeddings. ACL 2020: 6843-6848 - [c3]Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-Pairing Learning for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 230-240 - [c2]Haitao Wang, Xiangyang Zeng, Ye Lei, Shuwei Ren, Feng Hou, Ningjuan Dong:
Indoor Object Identification based on Spectral Subtraction of Acoustic Room Impulse Response. ICSPCC 2020: 1-4 - [c1]Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. M&Ms and EMIDEC/STACOM@MICCAI 2020: 219-227 - [i5]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR abs/2001.09193 (2020) - [i4]Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-Pairing Learning for Brain Tumor Segmentation. CoRR abs/2010.09277 (2020) - [i3]Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. CoRR abs/2012.14785 (2020)
2010 – 2019
- 2019
- [i2]Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong:
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes. CoRR abs/1910.02235 (2019) - [i1]Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zachary Edgerton, Ranveer Vasdev, Matthew Peterson, Seán McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. CoRR abs/1912.01054 (2019) - 2015
- [j3]Jin Gou, Wang-Ping Guo, Feng Hou, Cheng Wang, Yiqiao Cai:
Adaptive differential evolution with directional strategy and cloud model. Appl. Intell. 42(2): 369-388 (2015) - [j2]Jin Gou, Feng Hou, Wenyu Chen, Cheng Wang, Wei Luo:
Improving Wang-Mendel method performance in fuzzy rules generation using the fuzzy C-means clustering algorithm. Neurocomputing 151: 1293-1304 (2015)
2000 – 2009
- 2008
- [j1]Ling-Ning Xing, Ying-Wu Chen, Ke-Wei Yang, Feng Hou, Xue-Shi Shen, Huai-Ping Cai:
A hybrid approach combining an improved genetic algorithm and optimization strategies for the asymmetric traveling salesman problem. Eng. Appl. Artif. Intell. 21(8): 1370-1380 (2008)
Coauthor Index
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