Dr Wei Zhou

(Ask me my pronouns)

BEng, PhD, SMIEEE, FHEA

2026

• Li, H. et al., 2026. EHIN: Early-aware hierarchical interaction network for weakly-supervised referring image segmentation. Neurocomputing 659 131764. (10.1016/j.neucom.2025.131764)
• Li, J. et al., 2026. SearchExpert: A GenAI-driven framework for reasoning-intensive multimedia information fusion through fine-tuning and reinforcement learning. Information Fusion: An International Journal on Multi-Sensor, Multi-Source Information Fusion 126 (Part B) 103665. (10.1016/j.inffus.2025.103665)
• Liu, W. et al., 2026. Exploiting independent query information for few-shot image segmentation. Displays 91 103179. (10.1016/j.displa.2025.103179)
• Ni, Y. et al., 2026. Affine modulation-based audiogram fusion network for joint noise reduction and hearing loss compensation. Information Fusion: An International Journal on Multi-Sensor, Multi-Source Information Fusion 127 (A) 103726. (10.1016/j.inffus.2025.103726)
• Yang, D. et al., 2026. MedAide: information fusion and anatomy of medical intents via LLM-based agent collaboration. Information Fusion: An International Journal on Multi-Sensor, Multi-Source Information Fusion 127 (Part A) 103743. (10.1016/j.inffus.2025.103743)
• Yuan, H. et al., 2026. DWCL: Dual-weighted contrastive learning for robust multi-view clustering. Engineering Applications of Artificial Intelligence 165 (PartB) 113532. (10.1016/j.engappai.2025.113532)

2025

• Amirpour, H. et al., 2025. VQM4HAS: A real-time quality metric for HEVC videos in HTTP Adaptive Streaming. IEEE Transactions on Multimedia , pp.1-12. (10.1109/tmm.2025.3613110)
• Chen, W. et al., 2025. No-reference point cloud quality assessment via graph convolutional network. IEEE Transactions on Multimedia 27 , pp.2489-2502. (10.1109/TMM.2024.3521845)
• Gao, C. et al., 2025. Compressed feature quality assessment: Dataset and baselines. Presented at: MM '25: The 33rd ACM International Conference on Multimedia Dublin, Ireland 27-31 October 2025. MM '25: Proceedings of the 33rd ACM International Conference on Multimedia. ACM. , pp.13450-13456. (10.1145/3746027.3758309)
• Gao, L. et al., 2025. EEmo-Bench: A benchmark for multi-modal large language models on image evoked emotion assessment. Presented at: MM '25: The 33rd ACM International Conference on Multimedia Dublin, Ireland 27-31 October 2025. MM '25: Proceedings of the 33rd ACM International Conference on Multimedia. ACM. , pp.7064-7073. (10.1145/3746027.3755777)
• Ghanbari, M. et al., 2025. SDART: spatial dart AR simulation with hand-tracked input. Presented at: MM '25: The 33rd ACM International Conference on Multimedia Dublin, Ireland 27-31 October 2025. MM '25: Proceedings of the 33rd ACM International Conference on Multimedia. New York, NY, United States: ACM. , pp.13543-13545. (10.1145/3746027.3754484)
• Gholami, A. et al., 2025. Perceptual quality assessment of spatial videos on Apple Vision Pro. Presented at: MM '25:The 33rd ACM International Conference on Multimedia Dublin, Ireland 31 October 2025. IXR '25: Proceedings of the 3rd International Workshop on Interactive eXtended Reality. Dublin: ACM. , pp.20-28. (10.1145/3746269.3760422)
• Guanghui, Y. et al., 2025. Subjective and objective quality assessment of colonoscopy videos. IEEE Transactions on Medical Imaging 44 (2), pp.841-854. (10.1109/TMI.2024.3461737)
• Hao, X. et al., 2025. DADA++: Dual Alignment Domain Adaptation for unsupervised video-text retrieval. ACM Transactions on Multimedia Computing, Communications and Applications (10.1145/3759252)
• Ju, Y. et al., 2025. Photometric regularization for 3D gaussian splatting in multi-view surface projection. IEEE Journal of Selected Topics in Signal Processing (10.1109/jstsp.2025.3617861)
• Li, X. et al., 2025. MSPoint-Gait: Multi-Scale Point cloud analysis for 3D gait recognition via cross-modal learning. Presented at: 2025 IEEE International Conference on Multimedia and Expo (ICME) Nantes, France 30 June - 4 July 2025. 2025 IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.1-6. (10.1109/icme59968.2025.11209453)
• Li, X. et al., 2025. DepthGait: Multi-scale cross-level feature fusion of RGB-derived depth and silhouette sequences for robust gait recognition. Presented at: MM '25:The 33rd ACM International Conference on Multimedia Dublin, Ireland 31 October 2025. IXR '25: Proceedings of the 3rd International Workshop on Interactive eXtended Reality. Dublin: ACM. , pp.2333-2341. (10.1145/3746027.3755876)
• Li, Y. et al., 2025. Unlocking implicit motion for evaluating image complexity. Displays 90 103131. (10.1016/j.displa.2025.103131)
• Li, Y. et al., 2025. Perception-oriented bidirectional attention network for image super-resolution quality assessment. IEEE Transactions on Image Processing (10.1109/tip.2025.3633145)
• Liu, J. et al. 2025. Adaptive spatiotemporal graph transformer network for action quality assessment. IEEE Transactions on Circuits and Systems for Video Technology 35 (7), pp.6628-6639. (10.1109/TCSVT.2025.3541456)
• Liu, W. et al., 2025. Physically-guided open vocabulary segmentation with weighted patched alignment loss. Neurocomputing 614 128788. (10.1016/j.neucom.2024.128788)
• Liu, W. et al., 2025. Integrating large foundation models into multimodal named entity recognition with evidential fusion. Neurocomputing 652 131015. (10.1016/j.neucom.2025.131015)
• Luo, Y. et al., 2025. Unsupervised low-light image enhancement with self-paced learning. IEEE Transactions on Multimedia 27 , pp.1808-1820. (10.1109/TMM.2024.3521752)
• Luo, Y. et al., 2025. Multi-attribute continual learning for blind image quality assessment. Presented at: IEEE International Symposium on Circuits and Systems (ISCAS) London 25-28 May 2025. 2025 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE(10.1109/iscas56072.2025.11043383)
• Ma, Y. et al., 2025. Analysing and predicting radiologists’ expertise using eye-tracking data: Insights for diagnostic decision-making. Presented at: 2025 IEEE International Conference on Multimedia and Expo (ICME) Nantes, France 30 June - 4 July 2025. IEEE. , pp.1-6. (10.1109/icme59968.2025.11209585)
• Meng, Y. et al., 2025. VideoForest: Person-anchored hierarchical reasoning for cross-video question answering. Presented at: MM '25: The 33rd ACM International Conference on Multimedia Dublin, Ireland 27-31 October 2025. MM '25: Proceedings of the 33rd ACM International Conference on Multimedia. ACM. , pp.836-845. (10.1145/3746027.3754573)
• Miao, C. et al., 2025. MFFI: Multi-dimensional Face Forgery Image dataset for real-world scenarios. Presented at: MM '25: The 33rd ACM International Conference on Multimedia Dublin, Ireland 27-31 October 2025. MM '25: Proceedings of the 33rd ACM International Conference on Multimedia. ACM. , pp.13235-13242. (10.1145/3746027.3758280)
• Wang, P. et al., 2025. A spatial relationship aware dataset for robotics. Presented at: MM '25: The 33rd ACM International Conference on Multimedia Dublin, Ireland 27-31 October 2025. MM '25: Proceedings of the 33rd ACM International Conference on Multimedia. ACM. , pp.13332-13338. (10.1145/3746027.3758293)
• Wang, R. et al., 2025. Multi-view residual spatio-temporal topology adaptive graph convolutional network for urban road traffic accident prediction with multi-source risks. Array 28 100617. (10.1016/j.array.2025.100617)
• Wang, Z. et al., 2025. Evaluating perceptual color preferences in smartphone photography: dataset and challenges. Presented at: MM '25:The 33rd ACM International Conference on Multimedia Dublin, Ireland 31 October 2025. IXR '25: Proceedings of the 3rd International Workshop on Interactive eXtended Reality. Dublin: ACM. , pp.12844-12850. (10.1145/3746027.3758227)
• Yang, Y. et al., 2025. MCSMoG: Multi-Conditional Diffusion for stylized motion generation with parametric control. Presented at: 2025 IEEE International Conference on Multimedia and Expo (ICME) Nantes, France 30 June 2025 - 4 July 2025. 2025 IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.1-6. (10.1109/icme59968.2025.11209286)
• Yang, Y. et al., 2025. Expressive human volumetric video generation with rich text. IEEE Transactions on Circuits and Systems for Video Technology (10.1109/tcsvt.2025.3628996)
• Yao, X. et al., 2025. AMLPF-CLIP: Adaptive prompting and distilled learning for imbalanced histopathological image classification. IEEE Journal of Biomedical and Health Informatics (10.1109/jbhi.2025.3619343)
• Yu, Q. et al., 2025. Parameterized diffusion optimization enabled autoregressive ordinal regression for diabetic retinopathy grading. Presented at: MICCAI 2025 Daejeon, Republic of Korea 23-27 September 2025. Published in: Gee, J. C. et al., Proceedings Medical Image Computing and Computer Assisted Intervention. Lecture Notes in Computer Science. Vol. 15974.Switzerland: Springer Nature. , pp.450-460. (10.1007/978-3-032-05182-0_44)
• Zeng, Y. et al., 2025. CLIP-DQA: Blindly evaluating dehazed images from global and local perspectives using CLIP. Presented at: IEEE International Symposium on Circuits and Systems London, UK 25-28 May 2025. 2025 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE. (10.1109/iscas56072.2025.11043366)
• Zeng, Y. et al., 2025. CLIP-DQA V2: Exploring CLIP for dehazed image quality assessment from a fragment-level perspective. IEEE Signal Processing Letters 32 , pp.3829-3833. (10.1109/lsp.2025.3615082)
• Zhang, Z. et al., 2025. Large multimodal models evaluation: a survey. SCIENCE CHINA Information Sciences 68 221301. (10.1007/s11432-025-4676-4)
• Zhou, W. and Amirpour, H. 2025. Perceptual visual quality assessment in multimedia communication. Presented at: MM '25: The 33rd ACM International Conference on Multimedia Dublin, Ireland 27-31 October 2025. MM '25: Proceedings of the 33rd ACM International Conference on Multimedia. ACM. , pp.14340-14341. (10.1145/3746027.3759205)
• Zou, M. et al., 2025. PhysLab: A benchmark dataset for multi-granularity visual parsing of physics experiments. Presented at: MM '25:The 33rd ACM International Conference on Multimedia Dublin, Ireland 31 October 2025. IXR '25: Proceedings of the 3rd International Workshop on Interactive eXtended Reality. Dublin: ACM. , pp.12799-12806. (10.1145/3746027.3758221)

2024

• Chen, W. et al., 2024. Dynamic hypergraph convolutional network for no-reference point cloud quality assessment. IEEE Transactions on Circuits and Systems for Video Technology 34 (10), pp.10479-10493. (10.1109/TCSVT.2024.3410052)
• Fu, J. , Zhou, W. and Chen, Z. 2024. Bayesian graph convolutional network for traffic prediction. Neurocomputing 582 127507. (10.1016/j.neucom.2024.127507)
• Fu, J. et al., 2024. Vision-language consistency guided multi-modal prompt learning for blind AI generated image quality assessment. IEEE Signal Processing Letters 31 , pp.1820-1824. (10.1109/LSP.2024.3420083)
• Li, Y. et al., 2024. Deep bi-directional attention network for image super-resolution quality assessment. Presented at: IEEE International Conference on Multimedia and Expo (ICME) Niagra Falls, Canada 15-19 July 2024. 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE. , pp.1-6. (10.1109/ICME57554.2024.10687430)
• Shafiee Sarvestani, A. , Zhou, W. and Wang, Z. 2024. Perceptual crack detection for rendered 3D textured meshes. Presented at: IEEE International Conference on Quality of Multimedia Experience (QoMEX) Karlshamn, Sweden 18 - 20 June 2024. Proceedings of 16th International Conference on Quality of Multimedia Experience (QoMEX). IEEE. , pp.1-7. (10.1109/QoMEX61742.2024.10598253)
• Wang, H. et al. 2024. Blind image quality assessment via adaptive graph attention. IEEE Transactions on Circuits and Systems for Video Technology 34 (10), pp.10299-10309. (10.1109/TCSVT.2024.3405789)
• Xu, J. et al., 2024. LISD: An efficient multi-task learning framework for LiDAR segmentation and detection. Presented at: IEEE International Conference on Image Processing (ICIP) Abu Dhabi, United Arab Emirates 27-30 October 2024. Proceedings of International Conference on Image Processing. IEEE. , pp.3341-3347. (10.1109/ICIP51287.2024.10647535)
• Yan, W. et al., 2024. FVIFormer: flow-guided global-local aggregation transformer network for video inpainting. IEEE Journal of Emerging and Selected Topics in Circuits and Systems 14 (2), pp.235-244. (10.1109/JETCAS.2024.3392972)
• Yi, X. , Jiang, Q. and Zhou, W. 2024. No-reference quality assessment of underwater image enhancement. Displays 81 102586. (10.1016/j.displa.2023.102586)
• Yue, G. et al., 2024. Boundary refinement network for colorectal polyp segmentation in colonoscopy images. IEEE Signal Processing Letters 31 , pp.954-958. (10.1109/LSP.2024.3378106)
• Yue, G. et al., 2024. Subjective and objective quality assessment of multi-attribute retouched face images. IEEE Transactions on Broadcasting 70 (2), pp.570-583. (10.1109/TBC.2024.3374043)
• Yue, G. et al., 2024. Dual-constraint coarse-to-fine network for camouflaged object detection. IEEE Transactions on Circuits and Systems for Video Technology 34 (5), pp.3286-3298. (10.1109/TCSVT.2023.3318672)
• Yue, G. et al., 2024. Subjective quality assessment of thermal infrared images. Presented at: IEEE International Conference on Image Processing (ICIP 2024) Abu Dhabi, United Arab Emirates 27-30 October 2024. Proceedings of International Conference on Image Processing. IEEE. , pp.1212-1217. (10.1109/ICIP51287.2024.10648145)
• Zhang, R. et al., 2024. A terramechanics-based dynamic model for motion control of unmanned tracked vehicles. IEEE Transactions on Intelligent Vehicles (10.1109/TIV.2024.3406582)
• Zhang, R. et al., 2024. Similarities between wheels and tracks: A "tire model" for tracked vehicles. IEEE Transactions on Vehicular Technology 73 (11), pp.16416-16431. (10.1109/TVT.2024.3421285)
• Zhang, X. et al., 2024. Neural image re-exposure. Computer Vision and Image Understanding 248 104094. (10.1016/j.cviu.2024.104094)
• Zhou, T. et al., 2024. Adaptive mixed-scale feature fusion network for blind AI-generated image quality assessment. IEEE Transactions on Broadcasting 70 (3), pp.833-843. (10.1109/TBC.2024.3391060)
• Zhou, W. and Wang, Z. 2024. Perceptual depth quality assessment of stereoscopic omnidirectional images. IEEE Transactions on Circuits and Systems for Video Technology 34 (12), pp.13452-13462. (10.1109/TCSVT.2024.3449696)
• Zhou, W. et al. 2024. Blind quality assessment of dense 3D point clouds with structure guided resampling. ACM Transactions on Multimedia Computing, Communications and Applications 20 (8)(10.1145/3664199)
• Zhou, W. et al. 2024. Dehazed image quality evaluation: from partial discrepancy to blind perception. IEEE Transactions on Intelligent Vehicles 9 (2), pp.3843-3858. (10.1109/TIV.2024.3356055)

2023

• Liu, J. et al., 2023. LIQA: lifelong blind image quality assessment. IEEE Transactions on Multimedia 25 , pp.5358-5373. (10.1109/TMM.2022.3190700)
• Sun, S. et al., 2023. GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment. IEEE Transactions on Multimedia 25 , pp.2912-2925. (10.1109/TMM.2022.3152942)
• Yue, G. et al., 2023. Subjective quality assessment of enhanced retinal images. Presented at: International Conference on Image Processing Kuala Lumpur, Malaysia 8–11 October 2023. 2023 IEEE International Conference on Image Processing Proceedings. IEEE. , pp.3005-3009. (10.1109/ICIP49359.2023.10222541)
• Zhou, W. et al. 2023. A brief survey on adaptive video streaming quality assessment. Journal of Visual Communication and Image Representation 86 103526. (10.1016/j.jvcir.2022.103526)
• Zhou, W. and Wang, Z. 2023. Blind omnidirectional image quality assessment: integrating local statistics and global semantics. Presented at: International Conference on Image Processing Kuala Lumpur, Malaysia 8–11 October 2023. 2023 IEEE International Conference on Image Processing Proceedings. IEEE. , pp.1405-1409. (10.1109/ICIP49359.2023.10222049)
• Zhou, W. et al. 2023. Reduced-reference quality assessment of point clouds via content-oriented saliency projection. IEEE Signal Processing Letters 30 , pp.354-358. (10.1109/LSP.2023.3264105)

2022

• Fang, Y. et al., 2022. A Bayesian deep image prior downscaling approach for high-resolution soil moisture estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 , pp.4571 - 4582. (10.1109/JSTARS.2022.3177081)
• Fu, J. et al., 2022. Adaptive hypergraph convolutional network for no-reference 360-degree image quality assessment. Presented at: MM '22: The 30th ACM International Conference on Multimedia Lisboa Portugal 10-14 October 2022. MM '22: Proceedings of the 30th ACM International Conference on Multimedia. Association for Computing Machinery. , pp.961-969. (10.1145/3503161.3548337)
• Huang, S. et al., 2022. Perceptual evaluation of pre-processing for video transcoding. Presented at: 2021 International Conference on Visual Communications and Image Processing (VCIP) Munich, Germany 5-8 December 2021. 2021 International Conference on Visual Communications and Image Processing (VCIP). IEEE. , pp.1-5. (10.1109/VCIP53242.2021.9675438)
• Lu, Y. et al., 2022. RTN: Reinforced transformer network for coronary CT angiography vessel-level image quality assessment. Presented at: MICCAI 2022 18-22 September 2022. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022.. Vol. 13431.Lecture Notes in Computer Science Cham. Switzerland: Springer. (10.1007/978-3-031-16431-6_61)
• Xu, J. et al., 2022. Quality assessment of multi-exposure image fusion by synthesizing local and global intermediate references. Displays 74 102188. (10.1016/j.displa.2022.102188)
• Zhou, W. and Wang, Z. 2022. Quality assessment of image super-resolution: balancing deterministic and statistical fidelity. Presented at: MM '22: The 30th ACM International Conference on Multimedia Lisboa Portugal 10-14 October 2022. MM '22: Proceedings of the 30th ACM International Conference on Multimedia. Association for Computing Machiner. , pp.934-942. (10.1145/3503161.3547899)
• Zhou, W. et al. 2022. No-reference quality assessment for 360-degree images by analysis of multifrequency information and local-global naturalness. IEEE Transactions on Circuits and Systems for Video Technology 32 (4), pp.1778-1791. (10.1109/TCSVT.2021.3081182)

2021

• Ling, S. et al., 2021. Re-visiting discriminator for blind free-viewpoint image quality assessment. IEEE Transactions on Multimedia 23 , pp.4245-4258. (10.1109/TMM.2020.3038305)
• Mao, S. et al., 2021. Mechanism and application of capacitive-coupled memristive behavior based on a biomaterial developed memristive device. ACS Applied Electronic Materials 3 (12), pp.5537-5547. (10.1021/acsaelm.1c00951)
• Peng, Y. et al., 2021. Multi-metric fusion network for image quality assessment. Presented at: Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Nashville, TN, USA 19-25 June 2021. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. , pp.1857-1860. (10.1109/CVPRW53098.2021.00205)
• Xu, J. et al., 2021. Perceptual quality assessment of internet videos. Presented at: MM '21: 29th ACM International Conference on Multimedia Virtual Event China 20 - 24 October 2021. MM '21: Proceedings of the 29th ACM International Conference on Multimedia. Association for Computing Machinery. , pp.1248-1257. (10.1145/3474085.3475486)
• Xu, J. , Zhou, W. and Chen, Z. 2021. Blind omnidirectional image quality assessment with viewport oriented graph convolutional networks. IEEE Transactions on Circuits and Systems for Video Technology 31 (5), pp.1724-1737. (10.1109/TCSVT.2020.3015186)
• Zhou, W. and Chen, Z. 2021. Deep multi-scale features learning for distorted image quality assessment. Presented at: International Symposium on Circuits and Systems (ISCAS) Daegu, Korea 22-28 May 2021. 2021 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE. , pp.1-5. (10.1109/ISCAS51556.2021.9401285)
• Zhou, W. , Wang, Z. and Chen, Z. 2021. Image super-resolution quality assessment: structural fidelity versus statistical naturalness. Presented at: 13th International Conference on Quality of Multimedia Experience (QoMEX) Montreal, QC, Canada 14-17 June 2021. 2021 13th International Conference on Quality of Multimedia Experience (QoMEX). IEEE. , pp.61-64. (10.1109/QoMEX51781.2021.9465479)

2020

• Chen, Z. et al., 2020. Stereoscopic omnidirectional image quality assessment based on predictive coding theory. IEEE Journal of Selected Topics in Signal Processing 14 (1), pp.103-117. (10.1109/JSTSP.2020.2968182)
• Jiang, Q. et al., 2020. A full-reference stereoscopic image quality measurement via hierarchical deep feature degradation fusion. IEEE Transactions on Instrumentation and Measurement 69 (12), pp.9784-9796. (10.1109/TIM.2020.3005111)
• Li, X. et al., 2020. Learning disentangled feature representation for hybrid-distorted image restoration. Presented at: 16th European Conference on Computer Vision (ECCV 2020) Glasgow, Scotland 23-28 August 2020. Published in: Vedaldi, A. et al., Computer Vision – ECCV 2020 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIX. Lecture Notes in Computer Science Springer. , pp.313-329. (10.1007/978-3-030-58526-6_19)
• Liu, J. et al., 2020. LIRA: Lifelong Image Restoration from Unknown Blended Distortions. Presented at: 16th European Conference on Computer Vision (ECCV 2020) Glasgow, Scotland 23-28 August 2020. Published in: Vedaldi, A. et al., Computer Vision – ECCV 2020. Lecture Notes in Computer Science Springer International Publishing. , pp.616-632. (10.1007/978-3-030-58523-5_36)
• Luo, Z. et al., 2020. No-reference light field image quality assessment based on micro-lens image. Presented at: Picture Coding Symposium, PCS Ningbo, China 12-15 November 2019. 2019 Picture Coding Symposium (PCS). IEEE. , pp.1-5. (10.1109/PCS48520.2019.8954551)
• Shi, L. et al., 2020. No-reference light field image quality assessment based on spatial-angular measurement. IEEE Transactions on Circuits and Systems for Video Technology 30 (11), pp.4114-4128. (10.1109/TCSVT.2019.2955011)
• Xu, J. et al., 2020. Quality assessment of stereoscopic 360-degree images from multi-viewports. Presented at: Picture Coding Symposium, PCS Ningbo, China 12-15 November 2019. 2019 Picture Coding Symposium (PCS). IEEE. , pp.1-5. (10.1109/PCS48520.2019.8954555)
• Xu, J. et al., 2020. Binocular rivalry oriented predictive autoencoding network for blind stereoscopic image quality measurement. IEEE Transactions on Instrumentation and Measurement 70 5001413. (10.1109/TIM.2020.3026443)
• Zhao, Y. et al., 2020. Infrared pedestrian detection with converted temperature map. Presented at: 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Lanzhou 18-21 November 2019. 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE. (10.1109/APSIPAASC47483.2019.9023228)
• Zhou, W. and Chen, Z. 2020. Deep local and global spatiotemporal feature aggregation for blind video quality assessment. Presented at: 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) Macau 01-04 December 2020. 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP). IEEE. (10.1109/VCIP49819.2020.9301764)
• Zhou, W. et al. 2020. Blind quality assessment for image superresolution using deep two-stream convolutional networks. Information Sciences 528 , pp.205-218. (10.1016/j.ins.2020.04.030)
• Zhou, W. et al. 2020. Tensor oriented no-reference light field image quality assessment. IEEE Transactions on Image Processing 29 , pp.4070-4084. (10.1109/TIP.2020.2969777)

2019

• Jin, X. et al., 2019. AI-GAN: signal de-interference via asynchronous interactive generative adversarial network. Presented at: 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) Shanghai 08-12 July 2019. 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE. (10.1109/ICMEW.2019.00046)
• Jin, X. et al., 2019. Unsupervised single image deraining with self-supervised constraints. Presented at: 2019 IEEE International Conference on Image Processing Taipei, Taiwan 22-25 September 2019. 2019 IEEE International Conference on Image Processing. IEEE. , pp.2761-2765. (10.1109/ICIP.2019.8803238)
• Zhao, S. et al., 2019. How do you perceive differently from an AI - A database for semantic distortion measurement. Presented at: IEEE International Symposium on Circuits and Systems (ISCAS) Sapporo, Japan 26-29 May 2019. 2019 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE. , pp.1-5. (10.1109/ISCAS.2019.8702774)
• Zhou, W. , Chen, Z. and Li, W. 2019. Dual-stream interactive networks for no-reference stereoscopic image quality assessment. IEEE Transactions on Image Processing 28 (8), pp.3946-3958. (10.1109/TIP.2019.2902831)

2018

• Hu, Y. et al., 2018. SDM: Semantic distortion measurement for video encryption. Presented at: 13th IEEE International Conference on Automatic Face & Gesture Recognition Xi'an, China 15-19 May 2018. 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018). IEEE. , pp.764-768. (10.1109/FG.2018.00120)
• Jin, X. et al., 2018. A decomposed dual-cross generative adversarial network for image rain removal. Presented at: British Machine Vision Conference 2018 Newcastle, UK 3-6 September 2018.
• Jin, X. et al., 2018. Augmented coarse-to-fine video frame synthesis with semantic loss. Presented at: Pattern Recognition and Computer Vision, PRCV 2018 Guangzhou, China 23-26 November. Published in: Lai, J. et al., Pattern Recognition and Computer Vision, First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I. Lecture Notes in Computer Science Springer. , pp.439-452. (10.1007/978-3-030-03398-9_38)
• Shi, L. et al., 2018. Perceptual evaluation of light field image. Presented at: 2018 25th IEEE International Conference on Image Processing (ICIP) Athens, Greece 07-10 October 2018. 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE. , pp.41-45. (10.1109/ICIP.2018.8451077)
• Xu, J. et al., 2018. Subjective quality assessment of stereoscopic omnidirectional image. Presented at: 19th Pacific-Rim Conference on Multimedia Hefei, China 21-22 Sept 2018. Published in: Hong, R. et al., Advances in Multimedia Information Processing – PCM 2018. Lecture Notes in Computer Science Vol. 11164. Springer. , pp.589-599. (10.1007/978-3-030-00776-8_54)
• Zhang, W. et al., 2018. None ghosting artifacts stitching based on depth map for light field image. Presented at: 19th Pacific-Rim Conference on Multimedia Hefei, China 21-22 Sept 2018. Published in: Hong, R. et al., Advances in Multimedia Information Processing – PCM 2018. Vol. 11164.Lecture Notes in Computer Science Springer. , pp.567-578. (10.1007/978-3-030-00776-8_52)
• Zhou, W. , Chen, Z. and Li, W. 2018. Stereoscopic video quality prediction based on end-to-end dual stream deep neural networks. Presented at: 19th Pacific-Rim Conference on Multimedia Hefei, China 21-22 Sept 2018. Published in: Hong, R. et al., Advances in Multimedia Information Processing – PCM 2018. Vol. 11166.Lecture Notes in Computer Science Springer. , pp.482-492. (10.1007/978-3-030-00764-5_44)
• Zhou, Y. and Zhou, W. 2018. Visual comfort assessment for stereoscopic image retargeting. Presented at: IEEE International Symposium on Circuits and Systems (ISCAS) Florence, Italy 27-30 May 2018. 2018 IEEE International Symposium on Circuits and Systems (ISCAS). , pp.1-5. (10.1109/ISCAS.2018.8351198)

2017

• Chen, Z. , Zhou, W. and Li, W. 2017. Blind stereoscopic video quality assessment: from depth perception to overall experience. IEEE Transactions on Image Processing 27 (2), pp.721-734. (10.1109/TIP.2017.2766780)

2016

• Zhou, W. et al. 2016. 3D-HEVC visual quality assessment: database and bitstream model. Presented at: 8th International Conference on Quality of Multimedia Experience (QoMEX) Lisbon 6-8 June 2016. 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX). IEEE. , pp.1-6. (10.1109/QoMEX.2016.7498946)