Content-Dependency Reduction With Multi-Task Learning In Blind Stitched Panoramic Image Quality Assessment. - Jingwen Hou; Weisi Lin; Baoquan Zhao (ICIP, 2020)

Attention-driven Unsupervised Image Retrieval for Beauty Products with Visual and Textual Clues. - Jingwen Hou; Sijie Ji; Annan Wang (ACM Multimedia, 2020)

Object-level Attention for Aesthetic Rating Distribution Prediction. - Jingwen Hou; Sheng Yang 006; Weisi Lin (ACM Multimedia, 2020)

Learning Image Aesthetic Assessment from Object-level Visual Components. - Jingwen Hou; Sheng Yang 006; Weisi Lin; Baoquan Zhao; Yuming Fang (CoRR, 2021)

Online teaching quality evaluation model based on support vector machine and decision tree. - Jingwen Hou (J. Intell. Fuzzy Syst., 2021)

Extreme Systematic Reviews: A Large Literature Screening Dataset to Support Environmental Policymaking. - Jingwen Hou; Xiaochen Wang; Jean-Jacques Dubois; R. Byron Rice; Amanda Haddock; Yue Wang 035 (CIKM, 2022)

FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling. - Haoning Wu 001; Chaofeng Chen; Jingwen Hou; Liang Liao; Annan Wang; Wenxiu Sun; Qiong Yan; Weisi Lin (ECCV (6), 2022)

Disentangling Aesthetic and Technical Effects for Video Quality Assessment of User Generated Content. - Haoning Wu 001; Liang Liao; Chaofeng Chen; Jingwen Hou; Annan Wang; Wenxiu Sun; Qiong Yan; Weisi Lin (CoRR, 2022)

Distilling Knowledge From Object Classification to Aesthetics Assessment. - Jingwen Hou; Henghui Ding; Weisi Lin; Weide Liu; Yuming Fang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives. - Haoning Wu 001; Erli Zhang 001; Liang Liao; Chaofeng Chen; Jingwen Hou; Annan Wang; Wenxiu Sun; Qiong Yan; Weisi Lin (ICCV, 2023)

Exploring Opinion-Unaware Video Quality Assessment with Semantic Affinity Criterion. - Haoning Wu 001; Liang Liao; Jingwen Hou; Chaofeng Chen; Erli Zhang 001; Annan Wang; Wenxiu Sun; Qiong Yan; Weisi Lin (ICME, 2023)

Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach. - Haoning Wu 001; Erli Zhang 001; Liang Liao; Chaofeng Chen; Jingwen Hou; Annan Wang; Wenxiu Sun; Qiong Yan; Weisi Lin (ACM Multimedia, 2023)

Towards Robust Text-Prompted Semantic Criterion for In-the-Wild Video Quality Assessment. - Haoning Wu 001; Liang Liao; Annan Wang; Chaofeng Chen; Jingwen Hou; Wenxiu Sun; Qiong Yan; Weisi Lin (CoRR, 2023)

Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion. - Weide Liu; Xiaoyang Zhong; Jingwen Hou; Shaohua Li; Haozhe Huang; Yuming Fang (CoRR, 2023)

Interaction-Matrix Based Personalized Image Aesthetics Assessment. - Jingwen Hou; Weisi Lin; Guanghui Yue 001; Weide Liu; Baoquan Zhao (IEEE Trans. Multim., 2023)

Exploring semantic information for deep image aesthetics assessment - Jingwen Hou (2023)

Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images. - Guanghui Yue 001; Guibin Zhuo; Siying Li; Tianwei Zhou; Jingfeng Du; Weiqing Yan; Jingwen Hou; Weide Liu; Tianfu Wang 001 (IEEE J. Biomed. Health Informatics, 2023)

DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment. - Haoning Wu 001; Chaofeng Chen; Liang Liao; Jingwen Hou; Wenxiu Sun; Qiong Yan; Weisi Lin (IEEE Trans. Circuits Syst. Video Technol., 2023)

Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and an Objective Method. - Guanghui Yue 001; Di Cheng; Tianwei Zhou; Jingwen Hou; Weide Liu; Long Xu 001; Tianfu Wang 001; Jun Cheng 003 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Neighbourhood Representative Sampling for Efficient End-to-End Video Quality Assessment. - Haoning Wu 001; Chaofeng Chen; Liang Liao; Jingwen Hou; Wenxiu Sun; Qiong Yan; Jinwei Gu; Weisi Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Q-Instruct: Improving Low-Level Visual Abilities for Multi-Modality Foundation Models. - Haoning Wu 001; Zicheng Zhang; Erli Zhang 001; Chaofeng Chen; Liang Liao; Annan Wang; Kaixin Xu; Chunyi Li; Jingwen Hou; Guangtao Zhai; Geng Xue; Wenxiu Sun; et al. (CVPR, 2024)

Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency. - Weide Liu; Jingwen Hou; Xiaoyang Zhong; Huijing Zhan; Jun Cheng 003; Yuming Fang; Guanghui Yue 001 (CoRR, 2024)

TOPIQ: A Top-Down Approach From Semantics to Distortions for Image Quality Assessment. - Chaofeng Chen; Jiadi Mo; Jingwen Hou; Haoning Wu 001; Liang Liao; Wenxiu Sun; Qiong Yan; Weisi Lin (IEEE Trans. Image Process., 2024)

Improving multi-modal brain tumor segmentation via pre-training and knowledge distillation based post-training. - Weide Liu; Jingwen Hou; Xiaoyang Zhong; Huijing Zhan; Jun Cheng 003; Yuming Fang; Guanghui Yue 001 (Neurocomputing, 2025)

Integrating large foundation models into multimodal named entity recognition with evidential fusion. - Weide Liu; Xiaoyang Zhong; Jingwen Hou; Shaohua Li; Haozhe Huang; Wei Zhou; Yuming Fang (Neurocomputing, 2025)

Opinion-unaware blind quality assessment of AI-generated omnidirectional images based on deep feature statistics. - Xuelin Liu; Jiebin Yan; Yuming Fang; Jingwen Hou (J. Vis. Commun. Image Represent., 2025)

Toward Transparent Deep Image Aesthetics Assessment With Tag-Based Content Descriptors. - Jingwen Hou; Weisi Lin; Yuming Fang; Haoning Wu 001; Chaofeng Chen; Liang Liao; Weide Liu (IEEE Trans. Image Process., 2025)

Diffusion-Based Facial Aesthetics Enhancement With 3D Structure Guidance. - Lisha Li; Jingwen Hou; Weide Liu; Yuming Fang; Jiebin Yan (IEEE Trans. Image Process., 2025)