A hybrid approach combining an improved genetic algorithm and optimization strategies for the asymmetric traveling salesman problem. - Ling-Ning Xing; Ying-Wu Chen 001; Ke-Wei Yang 001; Feng Hou; Xue-Shi Shen; Huai-Ping Cai (Eng. Appl. Artif. Intell., 2008)

Adaptive differential evolution with directional strategy and cloud model. - Jin Gou; Wang-Ping Guo; Feng Hou; Cheng Wang 020; Yiqiao Cai (Appl. Intell., 2015)

Improving Wang-Mendel method performance in fuzzy rules generation using the fuzzy C-means clustering algorithm. - Jin Gou; Feng Hou; Wenyu Chen; Cheng Wang 020; Wei Luo (Neurocomputing, 2015)

Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes. - Yao Zhang 010; Yixin Wang 003; Feng Hou; Jiawei Yang 002; Guangwei Xiong; Jiang Tian; Cheng Zhong (CoRR, 2019)

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. - Nicholas Heller; Fabian Isensee; Klaus H. Maier-Hein; Xiaoshuai Hou; Chunmei Xie; Fengyi Li; Yang Nan 002; Guangrui Mu; Zhiyong Lin; Miofei Han; Guang Yao; Yaozong Gao; et al. (CoRR, 2019)

Improving Entity Linking through Semantic Reinforced Entity Embeddings. - Feng Hou; Ruili Wang; Jun He 001; Yi Zhou (ACL, 2020)

Modality-Pairing Learning for Brain Tumor Segmentation. - Yixin Wang 003; Yao Zhang 010; Feng Hou; Yang Liu 250; Jiang Tian; Cheng Zhong; Yang Zhang 002; Zhiqiang He 002 (BrainLes@MICCAI (1), 2020)

Indoor Object Identification based on Spectral Subtraction of Acoustic Room Impulse Response. - Haitao Wang 012; Xiangyang Zeng; Ye Lei; Shuwei Ren; Feng Hou; Ningjuan Dong (ICSPCC, 2020)

Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. - Yao Zhang 010; Jiawei Yang 002; Feng Hou; Yang Liu 250; Yixin Wang 003; Jiang Tian; Cheng Zhong; Yang Zhang 002; Zhiqiang He 002 (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Analysis of electronic health records based on long short-term memory. - Peiying Shi; Feng Hou; Xiangwei Zheng 001; Feng Yuan (Concurr. Comput. Pract. Exp., 2020)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

Deep learning methods in real-time image super-resolution: a survey. - Xiaofang Li; Yirui Wu; Wen Zhang; Ruichao Wang; Feng Hou (J. Real Time Image Process., 2020)

Self-Supervised Learning Based Phone-Fortified Speech Enhancement. - Yuanhang Qiu; Ruili Wang; Satwinder Singh; Zhizhong Ma; Feng Hou (Interspeech, 2021)

Improving Entity Linking through Semantic Reinforced Entity Embeddings. - Feng Hou; Ruili Wang; Jun He; Yi Zhou (CoRR, 2021)

Transfer learning for fine-grained entity typing. - Feng Hou; Ruili Wang; Yi Zhou (Knowl. Inf. Syst., 2021)

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. - Nicholas Heller; Fabian Isensee; Klaus H. Maier-Hein; Xiaoshuai Hou; Chunmei Xie; Fengyi Li; Yang Nan 002; Guangrui Mu; Zhiyong Lin; Miofei Han; Guang Yao; Yaozong Gao; et al. (Medical Image Anal., 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review. - Wanting Ji; Yan Pang; Xiaoyun Jia; Zhongwei Wang; Feng Hou; Baoyan Song; Mingzhe Liu 001; Ruili Wang (WIREs Data Mining Knowl. Discov., 2021)

Determining the best Acoustic Features for Smoker Identification. - Zhizhong Ma; Yuanhang Qiu; Feng Hou; Ruili Wang; Joanna Ting Wai Chu; Chris Bullen (ICASSP, 2022)

Improved Meta Learning for Low Resource Speech Recognition. - Satwinder Singh; Ruili Wang; Feng Hou (ICASSP, 2022)

CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition. - Zhihan Wang; Feng Hou; Yuanhang Qiu; Zhizhong Ma; Satwinder Singh; Ruili Wang (INTERSPEECH, 2022)

MobileACNet: ACNet-Based Lightweight Model for Image Classification. - Tao Jiang; Ming Zong; Yujun Ma; Feng Hou; Ruili Wang (IVCNZ, 2022)

Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation. - Jin Yuan; Feng Hou; Yangzhou Du; Zhongchao Shi; Xin Geng 001; Jianping Fan 007; Yong Rui (ACM Multimedia, 2022)

Automatic Speech-Based Smoking Status Identification. - Zhizhong Ma; Satwinder Singh; Yuanhang Qiu; Feng Hou; Ruili Wang; Christopher Bullen; Joanna Ting Wai Chu (SAI (3), 2022)

Adversarial multi-task learning with inverse mapping for speech enhancement. - Yuanhang Qiu; Ruili Wang; Feng Hou; Satwinder Singh; Zhizhong Ma; Xiaoyun Jia (Appl. Soft Comput., 2022)

Learning to Learn Domain-invariant Parameters for Domain Generalization. - Feng Hou; Yao Zhang 010; Yang Liu 250; Jin Yuan; Cheng Zhong; Yang Zhang 002; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (CoRR, 2022)

FADA: A Cloud-Fog-Edge Architecture and Ontology for Data Acquisition. - Huifeng Wu; Yi Yan; Baiping Chen; Feng Hou; Danfeng Sun (IEEE Trans. Cloud Comput., 2022)

Learning How to Learn Domain-Invariant Parameters for Domain Generalization. - Feng Hou; Yao Zhang 010; Yang Liu 250; Jin Yuan; Cheng Zhong; Yang Zhang 002; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (ICASSP, 2023)

A Novel Self-training Approach for Low-resource Speech Recognition. - Satwinder Singh; Feng Hou; Ruili Wang (INTERSPEECH, 2023)

CLRL-Tuning: A Novel Continual Learning Approach for Automatic Speech Recognition. - Zhihan Wang; Feng Hou; Ruili Wang (INTERSPEECH, 2023)

PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition. - Chengxi Lei; Satwinder Singh; Feng Hou; Xiaoyun Jia; Ruili Wang (MMAsia (Workshops), 2023)

How to Design Translation Prompts for ChatGPT: An Empirical Study. - Yuan Gao; Ruili Wang; Feng Hou (CoRR, 2023)

Growing neural gas assisted evolutionary many-objective optimization for handling irregular Pareto fronts. - Rui Hong; Feng Yao; Tianjun Liao; Lining Xing 001; Zhaoquan Cai 001; Feng Hou (Swarm Evol. Comput., 2023)

Exploiting anonymous entity mentions for named entity linking. - Feng Hou; Ruili Wang; See-Kiong Ng; Michael Witbrock; Fangyi Zhu; Xiaoyun Jia (Knowl. Inf. Syst., 2023)

Fine-Grained Entity Typing With a Type Taxonomy: A Systematic Review. - Ruili Wang; Feng Hou; Steven F. Cahan; Lily Chen; Xiaoyun Jia; Wanting Ji (IEEE Trans. Knowl. Data Eng., 2023)

Learning and integration of adaptive hybrid graph structures for multivariate time series forecasting. - Ting Guo; Feng Hou; Yan Pang; Xiaoyun Jia; Zhongwei Wang; Ruili Wang (Inf. Sci., 2023)

Refugee Resettlement: Why a Computational Method using E-CARGO is Better? - Haibin Zhu 001; Mozhdeh Noroozi Rasoolabadi; Feng Hou; Tianshuo Yang; Chun Wang; Lisa Kaida (ICHMS, 2024)

Incorporating Pre-ordering Representations for Low-resource Neural Machine Translation. - Yuan Gao; Feng Hou; Ruili Wang (MMAsia, 2024)

Multimodal Energy Prompting for Video Salient Object Detection. - Tao Jiang; Feng Hou; Yi Wang (MMAsia, 2024)

Mix-fine-tune: An Alternate Fine-tuning Strategy for Domain Adaptation and Generalization of Low-resource ASR. - Chengxi Lei; Satwinder Singh; Feng Hou; Ruili Wang (MMAsia, 2024)

Structured Bipartite Graph Ensemble Clustering. - Chen Wang 108; Feng Hou; Yi Wang; Ruili Wang (MMAsia, 2024)

A Novel Two-step Fine-tuning Framework for Transfer Learning in Low-Resource Neural Machine Translation. - Yuan Gao; Feng Hou; Ruili Wang (NAACL-HLT (Findings), 2024)

DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization. - Feng Hou; Jin Yuan; Ying Yang; Yang Liu 250; Yang Zhang 002; Cheng Zhong; Zhongchao Shi; Jianping Fan 007; Yong Rui; Zhiqiang He 002 (CoRR, 2024)

Anisotropic span embeddings and the negative impact of higher-order inference for coreference resolution: An empirical analysis. - Feng Hou; Ruili Wang; See-Kiong Ng; Fangyi Zhu; Michael Witbrock; Steven F. Cahan; Lily Chen; Xiaoyun Jia (Nat. Lang. Eng., 2024)

Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation. - Jin Yuan; Feng Hou; Ying Yang; Yang Zhang 002; Zhongchao Shi; Xin Geng 001; Jianping Fan 007; Zhiqiang He 002; Yong Rui (IEEE Trans. Multim., 2024)

A Survey of Visual Transformers. - Yang Liu 250; Yao Zhang 010; Yixin Wang 003; Feng Hou; Jin Yuan; Jiang Tian; Yang Zhang 002; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

IENet: inheritance enhancement network for video salient object detection. - Tao Jiang; Yi Wang; Feng Hou; Ruili Wang (Multim. Tools Appl., 2024)

DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes. - Yang Liu 250; Feng Hou; Yunjie Peng; Gangjian Zhang; Yao Zhang 010; Dong Xie; Peng Wang 095; Yang Zhang 002; Jiang Tian; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (AAAI, 2025)

TFGNet: Frequency-guided saliency detection for complex scenes. - Yi Wang 037; Ruili Wang; Juncheng Liu; Rui Xu 002; Tianzhu Wang; Feng Hou; Bin Liu 040; Na Lei (Appl. Soft Comput., 2025)

Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma. - Ruxian Tian; Feng Hou; Haicheng Zhang; Guohua Yu; Ping Yang; Jiaxuan Li; Ting Yuan; Xi Chen; Ying Chen; Yan Hao; Yisong Yao; Hongfei Zhao; et al. (npj Digit. Medicine, 2025)

Knowledge-sharing hierarchical memory fusion network for scribble-supervised video salient object detection. - Tao Jiang; Feng Hou; Yi Wang; Guangzhu Chen; Ruili Wang (Pattern Recognit. Lett., 2025)

Gradient-aware domain-invariant learning for domain generalization. - Feng Hou; Yao Zhang 010; Yang Liu 250; Jin Yuan; Cheng Zhong; Yang Zhang 002; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (Multim. Syst., 2025)