Dr Yipeng Qin
BSc (Hons), PhD, FHEA

: Ar gael fel goruchwyliwr ôl-raddedig

Timau a rolau for Yipeng Qin

Uwch Ddarlithydd; Arweinydd Effaith, Arloesi a Menter
Yr Ysgol Cyfrifiadureg a Gwybodeg

Fi yw'r Arweinydd Effaith, Arloesi a Menter, Arweinydd y Grŵp Ymchwil Gweledigaeth Gyfrifiadurol (adran ymchwil Cyfrifiadura Gweledol), ac Uwch Ddarlithydd (Athro Cysylltiol) yn yr Ysgol Gwyddorau Cyfrifiadurol a Mathemategol. Rwyf hefyd yn aelod o Goleg Adolygu Cymheiriaid EPSRC. Derbyniais fy PhD mewn Cyfrifiadureg o'r Ganolfan Genedlaethol ar gyfer Animeiddio Cyfrifiadurol (NCCA), Prifysgol Bournemouth, y DU yn 2017, a fy BSc mewn Peirianneg Drydanol o Brifysgol Shanghai Jiao Tong, Tsieina yn 2013.

Mae fy niddordebau ymchwil yn gorwedd ar groesffordd dysgu peiriannau a'i gymwysiadau mewn gweledigaeth gyfrifiadurol, graffeg gyfrifiadurol, a rhyngweithio dynol-cyfrifiadur. Ar hyn o bryd, mae fy ngwaith yn canolbwyntio ar dair prif thema: (i) agor y "blwch du" dysgu dwfn, (ii) hyrwyddo deallusrwydd artiffisial creadigol (AI), a (iii) datblygu prototeipiau gwisgadwy ar gyfer monitro a dadansoddi symudiad. Y tu hwnt i'r meysydd hyn, rydw i hefyd yn ymwneud â phynciau cysylltiedig fel segmentu semantig, addasu parth, a dysgu lled-oruchwylio. Mae fy ymchwil wedi cael ei gydnabod gyda Gwobr Papur Gorau SIGGRAPH 2025 (Delwedd Clawr Newyddion) ac Ymgeisydd Gwobr Papur Gorau CVPR 2024.

Mae croeso i bob math o gydweithio!

Ar gyfer ymgeiswyr CSC: Mae Prifysgol Caerdydd yn elwa o bartneriaeth swyddogol gyda Chyngor Ysgoloriaethau Tsieina (CSC). Os oes gennych ddiddordeb mewn gwneud ymchwil gyda mi, cysylltwch â mi trwy e-bost cyn gynted â phosibl fel y gall terfynau cau / camau ychwanegol fod yn berthnasol.

Date
Type

2026

Wei, X. et al., 2026. IntrinsicReal: Adapting IntrinsicAnything from synthetic to real objects. IEEE Transactions on Multimedia (10.1109/TMM.2026.3727723)
Alshewaier, H. , Qin, Y. and Sun, X. 2026. Dual bounding box for medical image segmentation. Presented at: The 6th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025) London,UK 19-21 November 2025. Proceedings of 2025 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025). Vol. 1520. Springer Science. , pp.161-172. (10.1007/978-981-95-7425-4_15)
Wang, Y. et al. 2026. Improved cinematic-guided camera language transfer in 3D scene. Presented at: International Conference on 3D Vision 2026 (3DV 2026) Vancouver, BC, Canada 20-23 March 2026. 2026 International Conference on 3D Vision (3DV). IEEE. , pp.1945-1955. (10.1109/3dv69130.2026.00183)
Meng, Z. et al., 2026. Improving sparse IMU-based motion capture with motion label smoothing. Presented at: The 40th Annual AAAI Conference on Artificial Intelligence (AAAI) 2026 Singapore 20-27 January 2026. Vol. 40.Proceedings of the AAAI Conference on Artificial Intelligence Vol. 10. Washington DC, USA: AAAI Press. , pp.8034-8042. (10.1609/aaai.v40i10.37749)
Kommers, C. et al., 2026. Computational hermeneutics: evaluating generative AI as a cultural technology. Frontiers in Artificial Intelligence 9 1753041. (10.3389/frai.2026.1753041)
Chen, J. et al., 2026. 3DGS-HPC: Distractor-free 3D Gaussian Splatting with hybrid patch-wise classification. Presented at: The Forty-Third International Conference on Machine Learning (ICML) Seoul, South Korea 6-11 July 2026. Proceedings of the 43rd International Conference on Machine Learning.
Gao, X. et al., 2026. CLOTHO: Canonicalizing IMUs from loose inertial garments for accurate human motion tracking. ACM Transactions on Graphics (10.1145/3842534)
Hao, Y. et al., 2026. LoFA: learning to predict personalized priors for fast adaptation of visual generative models. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 Colorado, USA 3-7 June 2026.
Li, Z. et al., 2026. Direct language embedding enables Gaussian splatting for large scenes. Presented at: Findings of the Conference on Computer Vision and Pattern Recognition (CVPR Findings) 2026 Colorado, USA 3-7 June 2026.
Meng, Z. et al., 2026. Distinguishing imitation error from intrinsic motion learning difficulty. Presented at: The Forty-Third International Conference on Machine Learning (ICML) Seoul, South Korea 6-11 July, 2026. Proceedings of the Forty-Third International Conference on Machine Learning (ICML).
Ning, Y. et al., 2026. LookasideVLN: direction-aware aerial vision-and-language navigation. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 Colorado, USA 3-7 June 2026.

2025

Jiang, Z. , Qin, Y. and Finnegan, D. 2025. ‘Chattable’ Avatars: Using LLMs to power visitor engagement with historical persons. Presented at: BCS 38th International Conference on Human Computer Interaction Cardiff, Wales 09 - 11 November. Proceedings of the 38th International BCS Human-Computer Interaction Conference. British Computer Society. , pp.91-102. (10.14236/ewic/BCSHCI2025.10)
Zuo, C. et al., 2025. Transformer IMU calibrator: Dynamic on-body IMU calibration for inertial motion capture. Presented at: SIGGRAPH 2025 Vancouver, Canada 10-14 August 2025. Vol. 44.Vol. 4. New York, NY, USA: Association for Computing Machinery. , pp.45-45. (10.1145/3730937)
He, Z. et al., 2025. VTON 360: High-fidelity virtual try-on from any viewing direction. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 Nashville, USA 11-15 June 2025. Proceedings of the Conference on Computer Vision and Pattern Recognition. IEEE. , pp.26388-26398. (10.1109/CVPR52734.2025.02457)
Lai, P. et al., 2025. LLM-driven multimodal and multi-identity listening head generation. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 Nashville, USA 11 - 15 June 2025. Proceedings of the Conference on Computer Vision and Pattern Recognition. IEEE. , pp.10656-10666. (10.1109/CVPR52734.2025.00996)
Wu, Y. , Guo, S. and Qin, Y. 2025. MODA: Motion-drift augmentation for inertial human motion analysis. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 Nashville, TN, USA 10-17 June 2025. Proceedings of the Conference on Computer Vision and Pattern Recognition. IEEE. , pp.27771-27781. (10.1109/CVPR52734.2025.02586)
Wu, Z. et al., 2025. Hierarchically controlled deformable 3D gaussians for talking head synthesis. Presented at: The 39th Annual AAAI Conference on Artificial Intelligence (AAAI) 2025 Pennsylvania, USA 25 February – 04 March 2025. Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 39(8).Association for the Advancement of Artificial Intelligence. , pp.8532-8540. (10.1609/aaai.v39i8.32921)
Ren, T. et al., 2025. Diverse motion in-betweening from sparse keyframes with dual posture stitching. IEEE Transactions on Visualization and Computer Graphics 31 (2), pp.1402-1413. (10.1109/TVCG.2024.3363457)
Alwadee, E. J. et al. 2025. LATUP-Net: A lightweight 3D attention U-Net with parallel convolutions for brain tumor segmentation. Computers in Biology and Medicine 184 109353. (10.1016/j.compbiomed.2024.109353)
Ying, E. et al., 2025. WristSketcher: Creating 2D dynamic sketches in AR with a sensing wristband. International Journal of Human-Computer Interaction 41 (1), pp.557-573. (10.1080/10447318.2024.2301857)
Yao, Y. et al., 2025. ToF-IP: time-of-flight enhanced sparse inertial poser for real-time human motion capture. Presented at: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) San Diego, California, USA 2-7 December 2025. Advances in Neural Information Processing Systems 38. NeurIPS. , pp.88892-88911. (10.52202/085713-2677)

2024

Zhao, G. et al., 2024. Exploration and exploitation of unlabeled data for open-set semi-supervised learning. International Journal of Computer Vision 132 , pp.5888-5904. (10.1007/s11263-024-02155-y)
Zhan, L. et al., 2024. SATPose: Improving monocular 3D pose estimation with spatial-aware ground tactility. Presented at: ACM Multimedia 2024 Melbourne, Australia 28 October - 1 November 2024. MM '24: Proceedings of the 32nd ACM International Conference on Multimedia. ACM. , pp.6192-6201. (10.1145/3664647.3681654)
Hou, B. et al., 2024. DCCTNet: Kidney tumors segmentation based on dual-level combination of CNN and transformer. 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.3112-3116. (10.1109/ICIP51287.2024.10647912)
Chen, J. et al., 2024. NeRF-HuGS: Improved neural radiance fields in non-static scenes using heuristics-guided segmentation. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 Seattle, WA, USA 17-21 June 2024. Proceedings of the Conference on Computer Vision and Pattern Recognition. IEEE. , pp.19436-19446. (10.1109/CVPR52733.2024.01838)
Liang, Y. et al. 2024. Deep generative model based rate-distortion for image downscaling assessment. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 Seattle, WA, USA 17-21 June 2024. Proceedings of the Conference on Computer Vision and Pattern Recognition. IEEE. , pp.19363-19372. (10.1109/CVPR52733.2024.01832)
Ning, S. et al., 2024. PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsign. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 Seattle, USA 16-22 June 2024. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.6976-6985. (10.1109/CVPR52733.2024.00666)
Zuo, C. et al., 2024. Loose inertial poser: Motion capture with IMU-attached loose-wear jacket. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 Seattle, USA 17-21 June 2024. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. , pp.2209-2219. (10.1109/CVPR52733.2024.00215)
Liang, Y. et al. 2024. Efficient precision and recall metrics for assessing generative models using hubness-aware sampling. Presented at: The Forty-first International Conference on Machine Learning (ICML) Vienna, Austria 21-27 July 2024. Vol. 235., pp.29682-29699.
Alwadee, E. et al. 2024. Assessing and enhancing the robustness of brain tumor segmentation using a probabilistic deep learning architecture [Abstract]. Proceedings of the 2024 ISMRM & ISMRT Annual Meeting (4526), pp.1-6. (10.58530/2024/4526)
Alshewaier, H. , Qin, Y. and Sun, X. 2024. (ExMod) model for medical image segmentation using scribble annotations. Presented at: The 5th International Conference on Medical Imaging and Computer-Aided Diagnosis Manchester, UK 19-21 November 2024. Published in: Su, R. and Frangi, A. F. eds. Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis. Vol. 1372.Lecture Notes in Electrical Engineering Singapore: Springer. , pp.133-143. (10.1007/978-981-96-3863-5_13)
Chen, X. et al., 2024. Full-body human motion reconstruction with sparse joint tracking using flexible sensors. ACM Transactions on Multimedia Computing, Communications and Applications 20 (2) 44. (10.1145/3564700)
Yan, Z. et al., 2024. Universal semi-supervised model adaptation via collaborative consistency training. Presented at: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024) Waikoloa, Hawaii, United States 4 - 8 January 2024. IEEE. , pp.861-871. (10.1109/WACV57701.2024.00092)
Fang, J. et al., 2024. SuDA: Support-based domain adaptation for Sim2Real hinge joint tracking with flexible sensors. Presented at: The Forty-First International Conference on Machine Learning (ICML) Vienna, Austria 21 - 27 July 2024. Published in: Salakhutdinov, R. et al., Proceedings of the 41st International Conference on Machine Learning. Vol. 235.ML Research Press. , pp.22042-22061.
Wu, Y. et al., 2024. Accurate and steady inertial pose estimation through sequence structure learning and modulation. Presented at: Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024) Vancouver, Canada 10-15 December 2024.

2023

Zhan, L. et al., 2023. TouchEditor: Interaction design and evaluation of a flexible touchpad for text editing of head-mounted displays in speech-unfriendly environments. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7 (4), pp.1-29. 198. (10.1145/3631454)
Wang, K. et al., 2023. Computational design of wiring layout on tight suits with minimal motion resistance. Presented at: The 16th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH ASIA 2023) Sydney, Australia 12 - 15 December 2023. Published in: Kim, J. , Lin, M. C. and Bickel, B. eds. SA '23: SIGGRAPH Asia 2023 Conference Papers. New York: Association for Computing Machinery. , pp.1-12. (10.1145/3610548.3618200)
Song, S. et al. 2023. Feature proliferation — the "cancer" in StyleGAN and its treatments. Presented at: International Conference on Computer Vision (ICCV) 2023 Paris, France October 1 - 6, 2023. Proceedings of IEEE/CVF International Conference on Computer Vision. IEEE. , pp.2360-2370. (10.1109/ICCV51070.2023.00224)
Huang, R. et al., 2023. Parametric implicit face representation for audio-driven facial reenactment. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 Vancouver, Canada 18 - 22 June 2023. Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. , pp.12759-12768. (10.1109/CVPR52729.2023.01227)
Fang, F. et al., 2023. Handwriting velcro: Endowing AR glasses with personalized and posture-adaptive text input using flexible touch sensor. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 6 (4), pp.1-31. 163. (10.1145/3569461)
Jones, O. , Poudevigne-Durance, T. and Qin, Y. 2023. Synthesis of time-series with missing observations using generative adversarial networks. Presented at: 34th Panhellenic Statistics Conference 19-22 May 2022. Greek Statistical Institute. , pp.154-166.
Zhao, G. et al., 2023. Improved distribution matching for dataset condensation. Presented at: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 Vancouver, Canada 18 - 22 June 2023. Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. , pp.7856-7865. (10.1109/CVPR52729.2023.00759)
Zhao, X. et al. 2023. CUDAS: Distortion-aware saliency benchmark. IEEE Access 11 , pp.58025-58036. (10.1109/ACCESS.2023.3283344)
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)
Zuo, C. et al., 2023. Self-adaptive motion tracking against on-body displacement of flexible sensors. Presented at: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) New Orleans, United States 10 - 16 December 2023. Published in: Oh, A. et al., Proceedings of the 37th Conference on Neural Information Processing Systems. Vol. 36.Neural information processing systems foundation. , pp.198465-198465.

2022

Chen, C. et al., 2022. Real-world blind super-resolution via feature matching with implicit high-resolution priors. Presented at: the 30th ACM International Conference on Multimedia (ACMMM 2022) Lisbon, Portugal 10 - 14 October 2022. Proceedings of the 30th ACM International Conference on Multimedia (ACMMM 2022). ACM. , pp.1329-1338. (10.1145/3503161.3547833)
Zhao, G. et al., 2022. Centrality and consistency: two-stage clean samples identification for learning with instance-dependent noisy labels. Presented at: European Conference on Computer Vision (ECCV 2022) Tel Aviv, Israel 23-27 October 2022. Published in: Avidan, S. et al., Proceedings of the Computer Vision – ECCV 2022. IEEE. , pp.21-37. (10.1007/978-3-031-19806-9_2)
Yu, X. et al., 2022. PVSeRF: joint pixel-, voxel- and surface-aligned radiance field for single-image novel view synthesis. Presented at: 30th ACM International Conference on Multimedia (ACMMM 2022) Lisbon, Portugal 10 - 14 October 2022. Proceedings of the 30th ACM International Conference on Multimedia. New York: ACM. , pp.1572-1583. (10.1145/3503161.3547893)
Yan, Z. et al., 2022. Multi-level consistency learning for semi-supervised domain adaptation. Presented at: 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022) Vienna, Austria 23-29 July 2022. Published in: De Raedt, L. ed. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization. , pp.1530-1536. (10.24963/ijcai.2022/213)
Poudevigne-Durance, T. , Jones, O. D. and Qin, Y. 2022. MaWGAN: a generative adversarial network to create synthetic data from datasets with missing data. Electronics 11 (6) 837. (10.3390/electronics11060837)
Liang, Y. et al. 2022. Exploring and exploiting hubness priors for high-quality GAN latent sampling. Presented at: The 39th International Conference on Machine Learning (ICML 2022) Baltimore, Maryland USA 17-23 July 2022. Vol. 162.ML Research Press. , pp.13271-13284.

2021

Yan, Z. et al., 2021. Pixel-level intra-domain adaptation for semantic segmentation. Presented at: ACM Multimedia 2021 Chengdu, China 20-24 October 2021. MM '21: Proceedings of the 29th ACM International Conference on Multimedia. ACM. , pp.404-413. (10.1145/3474085.3475174)
Zhu, Z. et al., 2021. Robust elbow angle prediction with aging soft sensors via output-level domain adaptation. IEEE Sensors Journal 21 (20), pp.22976-22984. (10.1109/JSEN.2021.3091004)
Su, J. et al., 2021. Correcting corrupted labels using mode dropping of ACGAN. Presented at: 15th International Symposium on Medical Information and Communication Technology (ISMICT 2021) Xiamen, China 14-16 April 2021. 2021 15th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE. , pp.98-103. (10.1109/ISMICT51748.2021.9434911)
Chen, Z. et al., 2021. Human posture tracking with flexible sensors for motion recognition. Computer Animation and Virtual Worlds (10.1002/cav.1993)

2020

Qin, Y. , Mitra, N. and Wonka, P. 2020. How does Lipschitz regularization influence GAN training?. Presented at: 16th European Conference on Computer Vision (ECCV 2020) Glasgow, Scotland 23-28 August 2020. Published in: Vevaldi, A. et al., Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVI. Lecture Notes in Computer Science Vol. 12361. Springer. , pp.310-326. (10.1007/978-3-030-58517-4_19)
Abdal, R. , Qin, Y. and Wonka, P. 2020. Image2StyleGAN++: how to edit the embedded images?. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR 2020) Seattle, Washington, USA 16-18 June 2020. Proceedings of the Conference on Computer Vision and Pattern Recognition. IEEE. , pp.8293-8302. (10.1109/CVPR42600.2020.00832)
Zhu, P. et al., 2020. SEAN: image synthesis with semantic region-adaptive normalization. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR 2020) Seattle, Washington, USA 14-19 June 2020. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. , pp.5103-5112. (10.1109/CVPR42600.2020.00515)

2019

Abdal, R. , Qin, Y. and Wonka, P. 2019. Image2StyleGAN: How to embed images into the styleGAN latent space?. Presented at: International Conference on Computer Vision (ICCV) 2019 Seoul, South Korea 27 October 2019 - 3 November 2019. Proceedings of the International Conference on Computer Vision (ICCV) 2019. IEEE. , pp.4431-4440. (10.1109/ICCV.2019.00453)

2017

Qin, Y. , Yu, H. and Zhang, J. 2017. Fast and memory-efficient Voronoi diagram construction on triangle meshes. Computer Graphics Forum 36 (5), pp.93-104. (10.1111/cgf.13248)

2016

Qin, Y. et al. 2016. Fast and exact discrete geodesic computation based on triangle-oriented wavefront propagation. ACM Transactions on Graphics 35 (4) 125. (10.1145/2897824.2925930)

2015

Yu, H. , Qin, Y. and Zhang, J. J. 2015. Eigenspace-based surface completeness. Journal of Electronic Imaging 24 (2) 023037. (10.1117/1.JEI.24.2.023037)

Mae fy niddordebau ymchwil yn canolbwyntio ar ddysgu peiriannau (ML) a'i gymwysiadau mewn gweledigaeth gyfrifiadurol (CV), graffeg gyfrifiadurol (CG), rhyngweithiadau dynol-cyfrifiadur (HCI), ac ati. Mae fy ymchwil bresennol yn troi o amgylch y tair thema ganlynol:

Unboxing the deep learning black-box, which aims to understand the training dynamics of various deep neural networks, e.e. Generative Adversarial Networks (GANs).
Deallusrwydd Artiffisial Creadigol (AI), gan gynnwys gwrthdroi GAN, datgysylltu delweddau rhanbarthol ar gyfer synthesis/trin delweddau amrywiol a rheoladwy, ac ati.
Prototeipio dyfeisiau gwisgadwy ar gyfer monitro a dadansoddi symudiad, sy'n anelu at fodelu'r berthynas rhwng signalau synhwyrydd a symudiad dynol gan ddefnyddio dysgu peiriannau. Mae hon yn ymchwil ar y cyd gyda'r Athro Shihui Guo o Brifysgol Xiamen, Tsieina.

Mae gen i ddiddordeb hefyd mewn pynciau cysylltiedig eraill fel segmentu semantig, addasu parth, dysgu lled-oruchwylio, ac ati.

Prosiectau

Tuag at Ddal Cynnig Graddadwy yn y Gwyllt, £2,810, PI, DTII Cyllid Ymateb Cyflym Seedcorn gan Brifysgol Caerdydd, Mai 2026 - Gorff 2026
Gwella'r Diwylliant Ymchwil Ôl-raddedig mewn Ysgolion sy'n Uno, £1,000, PI, Cyllid yr Academi Ddoethurol gan Brifysgol Caerdydd, Mai 2026 - Rhagfyr 2026
Cyllid Cydweithredu CU-XMU, £4,300, PI, Prifysgol Caerdydd, Mai 2026 - Rhagfyr 2026
Lleihau Ymddygiad Gwrthgymdeithasol a Threisgar gan ddefnyddio Deallusrwydd Artiffisial, £29,352.5, Co-I, Cyfrif Cyflymu Effaith EPSRC (IAA), Mai 2026 - Rhagfyr 2026
Cyllid Symudedd Ymchwil Taith, £925, PI, Llywodraeth Cymru, Hydref 2025 - Hydref 2025
Sgyrsio Empathetic, £2,790, PI, Cyllid Interniaeth ar y campws Prifysgol Caerdydd, Meh 2025 - Awst 2025
Rhyngwyneb Iaith Naturiol ar gyfer Cyfarwyddo Perfformiadau Cymeriadau Rhithwir, £59,981, PI, prosiect XR Network+ (EP/W020602/1) o EPSRC, Medi 2024 - Chwefror 2025
Datgelu "Greddf" Modelau Cynhyrchiol Dwfn ar gyfer Creu Cynnwys Gweledol Teg a Diduedd, tua £72,922, Prif Oruchwylydd, EPSRC DTP, Rhif EP/T517951/1 (2599521), Hydref 2021 - Mawrth 2025
Prototeipio Dillad Clyfar ar gyfer Monitro a Dadansoddi Cynnig ar lefel y Boblogaeth, £12,000, PI, Cyfnewidfeydd Rhyngwladol y Gymdeithas Frenhinol Cyfran Costau 2021 (NSFC), Rhif. IEC\NSFC\211022, Mawrth 2022 - Mawrth 2025
Cyllid Cydweithredu CU-XMU, £1,880, Co-I, Prifysgol Caerdydd, Tachwedd 2024 - Rhagfyr 2024
Cronfa Ymchwil Diwylliant Prifysgol Caerdydd 2024, £2,500, Co-I, CCAUC, Mai 2024 - Awst 2024
Datblygu Map Ffordd – Creu Personau AI Chattable ar gyfer Amgueddfeydd ac Archifau, £4,000, PI, Cyllid Seedcorn y Sefydliad Arloesi Trawsnewid Digidol (DTII), Rhif. DTIIR3SC04, Ebrill 2024 - Awst 2024
Chwyldroi Profiadau Ymwelwyr Treftadaeth Ddiwylliannol: Rhyddhau Pŵer Avatars Sgwrsio wedi'u Pweru gan AI mewn Arddangosfeydd Rhyngweithiol, £15,000, PI, Cyfrif Cyflymu Effaith Cysoni UKRI (IAA), Rhif 521632 (525436), Tachwedd 2023 - Mai 2024
Charting New Frontiers: An Exploratory Expedition and Pilot Study on Chattable Virtual Avatars, Unveiling Ethical and Social Dimensions in Content Delivery, £5,000, PI, GW4 Crucible 2023 Seed Funding, No. Cru23_01, Medi 2023 - Mawrth 2024
Optimeiddio Cynllun Synhwyrydd ar gyfer Ailadeiladu Siâp Corff 3D, £3,200, PI, Cyllid Cydweithredu Ymchwil Prifysgol Caerdydd-Xiamen, Gorff 2020 - Awst 2020

Gweithgareddau/Digwyddiadau

Gwasanaethodd y 12fed Gynhadledd Ryngwladol ar Realiti Rhithwir (ICVR 2026) fel Cadeirydd y Pwyllgor Trefnu Lleol, Gorffennaf 28-30, 2026.
Gweithdy Arweiniad Academaidd wedi'i gyfryngu gan AI, wedi'i drefnu ar y cyd â Dr. Jing Wu a'r Athro Paul Rosin o Brifysgol Caerdydd, Mehefin 10 a 17, 2026.
Gweithdy Syniadau Tŷ Dr Jenner, wedi'i drefnu ar y cyd â Dr. Deborah Brewis o Brifysgol Caerfaddon, Hydref 27, 2025.
Aelod o Bwyllgor Colocwiwm ECR LSW 2025, a drefnwyd gan Gymdeithas Ddysgedig Cymru (LSW), Mawrth - Mehefin 2025.
Gŵyl y Gwyddorau Cymdeithasol, Deallusrwydd Artiffisial mewn diwylliant a threftadaeth 2024, a drefnir gan Dr. Jenny Kidd gyda chefnogaeth ein tîm, Tachwedd 7, 2024.
Cydweithrediadauâ Hanes: dod â chymeriadau hanesyddol yn fyw trwy avatars wedi'u pweru gan AI, a drefnwyd gan yr Ymddiriedolaeth Genedlaethol gyda chefnogaeth ein tîm, Hydref 26-27, 2024.
Gweithdai Datblygu Map Ffordd, a drefnwyd gan Dr. Yipeng Qin, Mai 31 a Gorffennaf 24, 2024.
[Digwyddiad Ymylol AI UK 2024] Gorffennol yn Cwrdd â'r Dyfodol: A all AI Personas ddod â ffigurau hanesyddol yn fyw?, a drefnwyd gan Dr. Yipeng Qin, Mawrth 27, 2024
Gweithdy Prifysgol Caerdydd a'r Ymddiriedolaeth Genedlaethol ar AI Avatars, wedi'i drefnu ar y cyd â Dr. Daniel Finnegan, Mawrth 13, 2024
Gweithdy Avatars Rhithwir Chattable ar gyfer Amgueddfa ac Archifau, wedi'i drefnu ar y cyd â Dr. Barbara Caddick o Brifysgol Bryste, Mawrth 11, 2024.

Addysgu Modiwlaidd

2021/22 - nawr, CMT307 Dysgu Peiriant Cymhwysol
2021/22 - nawr, CMT316 Ceisiadau Dysgu Peiriannau: Prosesu Iaith Naturiol / Gweledigaeth Gyfrifiadurol
2019/20 - nawr, CM1205 Pensaernïaeth a Systemau Gweithredu, Arweinydd Modiwl

Dyfarniadau

Hyrwyddwr dros Gydraddoldeb, Amrywiaeth a Chynhwysiant (Enwebiad)
- Gwobrau Cyfoethogi Bywyd Myfyrwyr (ESLAs) 2025
- GAN: Prifysgol Caerdydd ac Undeb Myfyrwyr Caerdydd (CUSU)
Cydweithrediad Dysgu ac Addysgu'r Flwyddyn (Enwebiad)
- Gwobrau Cyfoethogi Bywyd Myfyrwyr (ESLAs) 2024
- GAN: Prifysgol Caerdydd ac Undeb Myfyrwyr Caerdydd (CUSU)
Hyrwyddwr dros Gydraddoldeb, Amrywiaeth a Chynhwysiant (Enwebiad)
- Gwobrau Cyfoethogi Bywyd Myfyrwyr (ESLAs) 2024
- GAN: Prifysgol Caerdydd ac Undeb Myfyrwyr Caerdydd (CUSU)

Arholwr Allanol

Rhaglen BSc
- BSc Deallusrwydd Artiffisial (UI4AA), Prifysgol Derby, Mai 2025 - Medi 2030
- BSc AI a Gwyddor Data (UI4AD), Prifysgol Derby, Mai 2025 - Medi 2030

Addysg a Chymwysterau

2017: PhD mewn Cyfrifiadureg, Y Ganolfan Genedlaethol ar gyfer Animeiddio Cyfrifiadurol, Prifysgol Bournemouth, y DU
2013: BEng mewn Peirianneg Drydanol, Prifysgol Shanghai Jiao Tong, Tsieina

Trosolwg gyrfa

2023 - presennol: Uwch Ddarlithydd, Prifysgol Caerdydd, DU
2019 - 2023: Darlithydd, Prifysgol Caerdydd, DU
2017 - 2019: Cymrawd Ymchwil Ôl-ddoethurol, Canolfan Cyfrifiadura Gweledol, Prifysgol Gwyddoniaeth a Thechnoleg King Abdullah, Saudi Arabia

Rôl weinyddol

Ysgol y Gwyddorau Cyfrifiadurol a Mathemategol (COMAT):

2026.08 - nawr, Arweinydd Effaith, Arloesi a Menter

Ysgol Cyfrifiadureg a Gwybodeg (COMSC):

2024.09 - 2026.07, Dirprwy Gyfarwyddwr Ymchwil
2024.02 - nawr, Arweinydd Grŵp Ymchwil Gweledigaeth Gyfrifiadurol
2024.04 - 2024.09, Tiwtor Derbyn PGT
2020.10 - 2024.09, Arweinydd Rhaglen PGT (COMSC) MSc Gwyddor Data a Dadansoddeg Data ac MSc Dadansoddeg Data ar gyfer y Llywodraeth

Anrhydeddau a dyfarniadau

(Ymchwil)

Gwobr Papur Gorau SIGGRAPH 2025
- Delwedd Clawr Newyddion
- GAN: ACM SIGGRAPH Pwyllgorau
Gwobr Adolygydd Rhagorol CVPR 2025
- 711 allan o 12,593 (5.6%)
- GAN: Y Sefydliad Gweledigaeth Gyfrifiadurol (CVF)
Ymgeisydd Gwobr Papur Gorau CVPR 2024
- GAN: Y Sefydliad Gweledigaeth Gyfrifiadurol (CVF)
Gwobr Arddangos Technoleg Orau CHCI 2024
- System Dal Cynnig Dynol yn seiliedig ar synwyryddion anadweithiol gwisgo rhydd
- GAN: Yr 20fed Gynhadledd Rhyngweithio Dynol-Cyfrifiadur Tsieineaidd (CHCI 2024)

(Addysgu)

Hyrwyddwr dros Gydraddoldeb, Amrywiaeth a Chynhwysiant (Enwebiad)
- Gwobrau Cyfoethogi Bywyd Myfyrwyr (ESLAs) 2025
- GAN: Prifysgol Caerdydd ac Undeb Myfyrwyr Caerdydd (CUSU)
Cydweithrediad Dysgu ac Addysgu'r Flwyddyn (Enwebiad)
- Gwobrau Cyfoethogi Bywyd Myfyrwyr (ESLAs) 2024
- GAN: Prifysgol Caerdydd ac Undeb Myfyrwyr Caerdydd (CUSU)
Hyrwyddwr dros Gydraddoldeb, Amrywiaeth a Chynhwysiant (Enwebiad)
- Gwobrau Cyfoethogi Bywyd Myfyrwyr (ESLAs) 2024
- GAN: Prifysgol Caerdydd ac Undeb Myfyrwyr Caerdydd (CUSU)

Aelodaethau proffesiynol

Coleg Adolygu Cymheiriaid EPSRC
Aelod o ACM SIGGRAPH, Sefydliad Gweledigaeth Gyfrifiadurol (CVF), AsiaGraphics
Labordy Ewropeaidd ar gyfer Dysgu a Systemau Deallus (ELLIS)
Cymrodoriaeth HEA
Cymdeithas Ddysgedig Cymru - Grŵp Cynghori ar gyfer Datblygu Ymchwilwyr
Grŵp Diddordeb Arbennig y Dyniaethau a Gwyddor Data @ Sefydliad Alan Turing
Rhwydwaith Ymchwilwyr Gyrfa Gynnar yr Academi Brydeinig

Safleoedd academaidd blaenorol

2023 - presennol: Uwch Ddarlithydd, Prifysgol Caerdydd, UK
2019 - 2023: Darlithydd, Prifysgol Caerdydd, DU
2017 - 2019: Cymrawd Ymchwil Ôl-ddoethurol, Canolfan Cyfrifiadura Gweledol, Brenin Abdullah Prifysgol Gwyddoniaeth a Thechnoleg, Saudi Arabia

Pwyllgorau ac adolygu

Cadeirydd Ardal / Uwch Bwyllgor y Rhaglen: ICLR 2027, AAAI 2027, NeurIPS 2026, ICML 2026, ICML 2025, BMVC 2025, ICML 2024
Adolygydd Grant:
- Turing AI Cymrodoriaethau Ymchwilwyr Sy'n Arwain y Byd
- Cymrodoriaethau Arweinwyr y Dyfodol UKRI (FLF)
- Coleg Adolygu Cymheiriaid EPSRC
- Swyddi
- Grant Ymchwil Safonol EPSRC
- Gwobr Ymchwilydd Newydd EPSRC (NIA)
- Rhaglen Ariannu Ychwanegol EPSRC ar gyfer Gwyddoniaeth Fathemategol
- Camau Ymchwil Cydgysylltiedig Gwlad Belg (CRAs)
- Bwrsariaethau Teithio a Threuliau ECR LSW
Adolygydd Cyfnodolion:
- Trafodion IEEE ar Ddadansoddi Patrymau a Deallusrwydd Peiriant (TPAMI)
- Trafodion ACM ar Graffeg (TOG)
- Trafodion IEEE ar Brosesu Delweddau (TIP)
- Trafodion IEEE ar Ddelweddu a Graffeg Gyfrifiadurol (TVCG)
- Trafodion IEEE ar Gyfrifiadura Symudol (TMC)
- Trafodion IEEE ar Amlgyfrwng (TMM)
- Trafodion ar Ymchwil Dysgu Peiriannau (TMLR)
- Fforwm Graffeg Gyfrifiadurol (CGF)
- Adnabod Patrymau
- Niwrogyfrifiadura
- Y Cyfrifiadur Gweledol
- Animeiddio Cyfrifiadurol a Bydoedd Rhithwir (CAVW)
- Cyfrifiaduron a Graffeg
- Systemau Arbenigol gyda Chymwysiadau
- Prosesu Signalau, Delweddau a Fideo
- Prosesu a Rheoli Signal Biofeddygol
- Journal of Open Humanities Data
- Mynediad IEEE
- Gwybodeg Weledol
- Y We Fyd-eang
- Cyfrifiadura Delwedd a Gweledigaeth
- Ffiniau mewn Delweddu
Aelod / Adolygydd Pwyllgor Rhaglen Cynhadledd (PC):
- SIGGRAFF ACM
- ACM SIGGRAPH Asia
- Cartref
- Cartref
- Cartref
- Mewngofnodi
- Trac setiau data a meincnodau NeurIPS
- ICLR
- Trac BlogPosts ICLR
- Cartref
- Cartref
- ACM MM
- Swyddi
- Ewrograffeg
- Graffeg y Môr Tawel
- Cartref
- Swyddi
- Cartref
- Cartref
- Cartref
- CARTREF
- ICMR
- IJCNN
- Cartref
- ICXR
- Cartref
Adolygydd Llyfr: Gwasg CRC/Grŵp Taylor a Francis

Mae gennyf ddiddordeb mewn goruchwylio myfyrwyr PhD yn y meysydd canlynol:

AI ar gyfer Modelu Cynhyrchiol
Synthesis a Thrin Delweddau
ML / AI Dehongladwy ar gyfer Cynhyrchu Cynnwys Gweledol
Rhagfarn a Thegwch mewn AI
Prosesu Geometreg 3D

Goruchwyliaeth PhD Cyfredol

Stephen Miles (2021/07 - nawr) - Adfer Delweddau gyda Dysgu Dwfn (Rhan-amser).
Jinqi Wang (2022/10 - nawr) - Creu Cynnwys Anime sy'n seiliedig ar AI
Zhuoling Jiang (2024/01 - nawr) - NPCs wedi'u gyrru gan AI ar gyfer Hapchwarae'r Genhedlaeth Nesaf (a ariennir gan yr ysgol)
Yuan Wang (2024/10 - nawr) - Ffotograffiaeth wedi'i bweru gan AI

Cyd-oruchwylio

Nada Saad M Alharbi (2023/10 - nawr) - Canfod Anhwylder Sbectrwm Awtistiaeth gan ddefnyddio Dysgu Atgyfnerthu Dwfn (wedi'i oruchwylio ar y cyd â Dr. Xianfang Sun).
Yang Li (2023/10 - nawr) - Modelau Cynhyrchiol ar gyfer Dylunio Ffasâd Pensaernïol (wedi'i oruchwylio ar y cyd â Dr. Bailin Deng a'r Athro Wassim Jabi).
Zhengwen Chen (2024/10 - nawr) - Mireinio Uwch o Fodelau Cynhyrchu Delweddau ar Raddfa Fawr wedi'u hyfforddi ymlaen llaw ar gyfer Perfformiad a Rheolaeth Well mewn Tasgau Arbenigol (cyd-oruchwylio gyda'r Athro Yukun Lai a Dr. Oktay Karakus)

Goruchwyliaeth gyfredol

Jinqi Wang

Stephen Miles

Charlie Jiang

Yuan Wang

Prosiectau'r gorffennol

Hateef Alshewaier (2021/04 - 2026/05) - Dulliau Ensemble ar gyfer Dosbarthu Data Amlgyfrwng (wedi'i oruchwylio ar y cyd â Dr. Xianfang Sun).
Ebtihal Alwadee (2021/10 - 2026/05) - Segmentu Tiwmor yr Ymennydd o MRI Aml-Foddol: Modelau Effeithlon ac Asesiad Cadernid Strwythuredig (wedi'i oruchwylio ar y cyd â Dr. Frank Langbein a Dr. Xianfang Sun).
Shuang Song (2021/10 - 2026/02) - Deall a Rheoli Priodoleddau Wyneb gyda StyleGAN (CSC)
Yuanbang Liang (2021/10 - 2025/09) - Samplu Ymwybyddiaeth Hubness ar gyfer Modelau Cynhyrchiol Dwfn mewn Cynhyrchu a Gwerthuso (EPSRC DTP).
Xin Zhao (2019/10 - 2025/06) - Modelu Saliency ar gyfer Prosesu Delweddau Canfyddiadol (wedi'i oruchwylio ar y cyd â'r Athro Hantao Liu).
Thomas Poudevigne-Durance (2019/10 - 2024/06) - Rhwydweithiau Gwrthwynebol Cynhyrchiol ar gyfer Cynyddu Digwyddiadau Prin (dan oruchwyliaeth ar y cyd â'r Athro Owen Jones, Ysgol Mathemateg).

Contact Details

[email protected]
+44 29208 75537
Abacws, Ystafell 2.20, Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG

Themâu ymchwil

Arbenigeddau

Deallusrwydd artiffisial
Graffeg cyfrifiadurol
Golwg cyfrifiadurol
Dysgu peirianyddol
Rhyngweithio Cyfrifiadur Dynol

Dr Yipeng Qin BSc (Hons), PhD, FHEA