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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
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<title>Selected Pulications </title>
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<h1>Selected Publications </h1>
</div>
<p style="text-align:justify"><strong><font size="4px">Publications</font></strong> (* equal contribution, <b><span style="font-family:Wingdings">*</span></b> corresponding author. All publications on [<a href="https://scholar.google.com/citations?user=NKaiUasAAAAJ&hl=en" target=“blank”>Google Scholar</a>]; <b>28*CVPR, 9*ICCV, 13*ECCV, 18*AAAI, 5*IJCAI, 5*NeurIPS, 3*ICLR</b>)
<ul>
<a href="https://arxiv.org/pdf/2511.18822">
<li><p><b>DiP: Taming Diffusion Models in Pixel Space</b>
</a>
<br>
Zhennan Chen, Junwei Zhu, Xu Chen, Jiangning Zhang, Xiaobin Hu, Hanzhen Zhao, Chengjie Wang, Jian Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>
<br>
<em>Conference on Computer Vision and Pattern Recognition (CVPR)</em>, 2026
<br>
<a href="https://arxiv.org/pdf/2511.18822"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>VINS-120K: Ultra High-Resolution Image Editing with A Large-Scale Dataset</b>
</a>
<br>
Zhizhou Chen*, Shanyan Guan*, Zhanxin Gao, En Ci, Yanhao Ge, Wei Li, Zhenyu Zhang, Jian Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>
<br>
<em>Conference on Computer Vision and Pattern Recognition (CVPR)</em>, 2026
<br>
<a href="google.com"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>ARCache: Mitigating Error Accumulation for Caching-based Acceleration in Autoregressive Video Diffusion Models</b>
</a>
<br>
Kepan Nan, Wangbo Zhao, Penghao Zhou, Jun Li, Zhenheng Yang, Jian Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>
<br>
<em>Conference on Computer Vision and Pattern Recognition (CVPR)</em>, 2026
<br>
<a href="google.com"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>Adaptive Depth Lightweight RGB-T Tracking with Holistic Token Routing</b>
</a>
<br>
Tian Ding, Hongtao Yang, Liangtao Shi, Jun Li, Xiantao Hu, Jian Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>
<br>
<em>Conference on Computer Vision and Pattern Recognition (CVPR)</em>, 2026
<br>
<a href="google.com"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>MorphAny3D: Unleashing the Power of Structured Latent in 3D Morphing</b>
</a>
<br>
Xiaokun Sun, Zeyu Cai, Hao Tang, <b>Y. Tai</b>, Jian Yang, Zhenyu Zhang
<br>
<em>Conference on Computer Vision and Pattern Recognition (CVPR)</em>, 2026
<br>
<a href="google.com"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training</b>
</a>
<br>
Hexiao Lu, Xiaokun Sun, Zeyu Cai, Hao Guo, <b>Y. Tai</b>, Jian Yang, Zhenyu Zhang
<br>
<em>Conference on Computer Vision and Pattern Recognition (CVPR)</em>, 2026
<br>
<a href="google.com"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2506.01674">
<li><p><b>MotionSight: Boosting Fine-Grained Motion Understanding in Multimodal LLMs</b>
</a>
<br>
Yipeng Du*, Tiehan Fan*, Kepan Nan, Rui Xie, Penghao Zhou, Xiang Li, Jian Yang, Zhenheng Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>
<br>
<em>International Conference on Learning Representations (ICLR)</em>, 2026
<br>
<a href="https://arxiv.org/pdf/2506.01674"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://openreview.net/forum?id=8pDcEIvmcP">
<li><p><b>CoDi: Subject-Consistent and Pose-Diverse Text-to-Image Generation</b>
</a>
<br>
Zhanxin Gao, Beier Zhu, Liangyao, Jian Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>
<br>
<em>International Conference on Learning Representations (ICLR)</em>, 2026
<br>
<a href="https://openreview.net/forum?id=8pDcEIvmcP"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://openreview.net/pdf/2154334103cab435248b9dd31297d8c878aaffcc.pdf">
<li><p><b>UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset</b>
</a>
<br>
Chen Zhao, En Ci, Yunzhe Xu, Tiehan Fan, Shanyan Guan, Yanhao Ge, Jian Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>
<br>
<em>Neural Information Processing Systems (NeurIPS)</em>, 2025
<br>
<a href="https://openreview.net/pdf/2154334103cab435248b9dd31297d8c878aaffcc.pdf"; style="color: #EE7F2D;">Paper (coming soon)</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>Learning Multi-scale Spatial-frequency Features for Image Denoising</b>
</a>
<br>
Xu Zhao, Chen Zhao, Xiantao Hu, Hongliang Zhang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, Jian Yang
<br>
<em>Pattern Recognition</em>, 2025
<br>
<a href="https://arxiv.org/pdf/2506.16307"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>AGSwap: Overcoming Category Boundaries in Object Fusion via Adaptive Group Swapping</b>
</a>
<br>
Ze-dong Zhang, <b>Y. Tai</b>, Jianjun Qian, Jian Yang, Jun Li.
<br>
<em>Siggraph Asia</em>, 2025
<br>
<a href="google.com"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="https://openaccess.thecvf.com/content/ICCV2025/papers/Ci_Describe_Dont_Dictate_Semantic_Image_Editing_with_Natural_Language_Intent_ICCV_2025_paper.pdf">
<li><p><b>Describe, Don’t Dictate: Semantic Image Editing with Natural Language Intent</b>
</a>
<br>
En Ci, Shanyan Guan, Yanhao Ge, Yilin Zhang, Wei Li, Zhenyu Zhang, Jian Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>IEEE/CVF International Conference on Computer Vision (ICCV)</em>, 2025
<br>
<a href="https://openaccess.thecvf.com/content/ICCV2025/papers/Ci_Describe_Dont_Dictate_Semantic_Image_Editing_with_Natural_Language_Intent_ICCV_2025_paper.pdf"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>Reverse Convolution and Its Applications to Image Restoration</b>
</a>
<br>
Xuhong Huang, Shiqi Liu, Kai Zhang, <b>Ying Tai</b>, Jian Yang, Hui Zeng, Lei Zhang
<br>
<em>IEEE/CVF International Conference on Computer Vision (ICCV)</em>, 2025
<br>
<a href="google.com"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2411.06558">
<li><p><b>Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement</b>
</a>
<br>
Zhennan Chen*, Yajie Li*, Haofan Wang, Zhibo Chen, Zhengkai Jiang, Jun Li, Qian Wang, Jian Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>IEEE/CVF International Conference on Computer Vision (ICCV)</em>, 2025
<br>
<a href="https://arxiv.org/pdf/2411.06558"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2501.02976?">
<li><p><b>STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution</b>
</a>
<br>
Rui Xie*, Yinhong Liu*, Penghao Zhou, Chen Zhao, Jun Zhou, Kai Zhang, Zhenyu Zhang, Jian Yang, Zhenheng Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>IEEE/CVF International Conference on Computer Vision (ICCV)</em>, 2025
<br>
<a href="https://arxiv.org/pdf/2501.02976?"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2412.11586">
<li><p><b>StrandHead: Text to Strand-Disentangled 3D Head Avatars Using Hair Geometric Priors</b>
</a>
<br>
Xiaokun Sun, Zeyu Cai, <b>Ying Tai</b>, Jian Yang, Zhenyu Zhang.
<br>
<em>IEEE/CVF International Conference on Computer Vision (ICCV)</em>, 2025
<br>
<a href="https://arxiv.org/pdf/2412.11586"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>Category-Aware 3D Object Composition with Disentangled Texture and Shape Multi-view Diffusion</b>
</a>
<br>
Zeren Xiong, Zikun Chen, Ze-dong Zhang, Xiang Li, <b>Ying Tai</b>, Jian Yang, Jun Li
<br>
<em>ACM Multimedia</em>, 2025
<br>
<a href="google.com"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="https://openaccess.thecvf.com/content/CVPR2025/papers/Zhao_From_Zero_to_Detail_Deconstructing_Ultra-High-Definition_Image_Restoration_from_Progressive_CVPR_2025_paper.pdf">
<li><p><b>From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective</b>
</a>
<br>
Chen Zhao, Zhizhou Chen, Yunzhe Xu, Enxuan Gu, Jian Li, Zili Yi, Qian Wang, Jian Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>Computer Vision and Pattern Recognition Conference (CVPR)</em>, 2025
<br>
<a href="https://openaccess.thecvf.com/content/CVPR2025/papers/Zhao_From_Zero_to_Detail_Deconstructing_Ultra-High-Definition_Image_Restoration_from_Progressive_CVPR_2025_paper.pdf"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://openaccess.thecvf.com/content/CVPR2025/papers/Fan_InstanceCap_Improving_Text-to-Video_Generation_via_Instance-aware_Structured_Caption_CVPR_2025_paper.pdf">
<li><p><b>InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption</b>
</a>
<br>
Tiehan Fan, Kepan Nan, Rui Xie, Penghao Zhou, Zhenheng Yang, Chaoyou Fu, Xiang Li, Jian Yang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>Computer Vision and Pattern Recognition Conference (CVPR)</em>, 2025
<br>
<a href="https://openaccess.thecvf.com/content/CVPR2025/papers/Fan_InstanceCap_Improving_Text-to-Video_Generation_via_Instance-aware_Structured_Caption_CVPR_2025_paper.pdf"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://openaccess.thecvf.com/content/CVPR2025/papers/Qi_Towards_Universal_Dataset_Distillation_via_Task-Driven_Diffusion_CVPR_2025_paper.pdf">
<li><p><b>Towards Universal Dataset Distillation via Task-Driven Diffusion</b>
</a>
<br>
Ding Qi, Jian Li, Junyao Gao, Shuguang Dou, <b>Ying Tai</b>, Jianlong Hu, Bo Zhao, Yabiao Wang, Chengjie Wang, Cairong Zhao.
<br>
<em>Computer Vision and Pattern Recognition Conference (CVPR)</em>, 2025
<br>
<a href="https://openaccess.thecvf.com/content/CVPR2025/papers/Qi_Towards_Universal_Dataset_Distillation_via_Task-Driven_Diffusion_CVPR_2025_paper.pdf"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2407.02371">
<li><p><b>OpenVid-1M: A Large-Scale Dataset for High-Quality Text-to-Video Generation</b>
</a>
<br>
K. Nan*, R. Xie*, P. Zhou*, T. Fan, Z. Yang, Z. Chen, X. Li, J. Yang and <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>International Conference on Learning Representations</em>, 2025
<br>
<a href="https://arxiv.org/pdf/2407.02371"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://nju-pcalab.github.io/projects/openvid/"; style="color: #EE7F2D;">Website</a>
/
<a href="https://www.youtube.com/watch?v=ie8JlFptZ9o&t=24s"; style="color: #EE7F2D;">Demo (High-res)</a>
/
<a href="https://huggingface.co/datasets/nkp37/OpenVid-1M"; style="color: #EE7F2D;">Dataset</a>
/
<a href="https://huggingface.co/datasets/nkp37/OpenVid-1M/tree/main/model_weights"; style="color: #EE7F2D;">Models</a>
/
<a href="https://github.com/NJU-PCALab/OpenVid-1M"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/NJU-PCALab/OpenVid-1M.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2404.01717.pdf">
<li><p><b>AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation</b>
</a>
<br>
<b>Y. Tai</b>, R. Xie<b><span style="font-family:Wingdings">*</span></b>, C. Zhao, K. Zhang, Z. Zhang, J. Zhou and J. Yang.
<br>
<em>Pattern Recognition</em>, 2026
<br>
<a href="https://arxiv.org/pdf/2404.01717"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://nju-pcalab.github.io/projects/AddSR/"; style="color: #EE7F2D;">Website</a>
/
<a href="https://github.com/NJU-PCALab/AddSR"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/NJU-PCALab/AddSR.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking</b>
</a>
<br>
Xiantao Hu, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, Xu zhao, Chen Zhao, Zhenyu Zhang, Jun Li, Bineng Zhong, Jian Yang<b><span style="font-family:Wingdings">*</span></b>
<br>
<em>AAAI Conference on Artificial Intellige (AAAI)</em>, 2025 <b style="color: red">[Oral]</b>
<br>
<a href="https://arxiv.org/pdf/2412.15691"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/NJU-PCALab/STTrack"; style="color: #EE7F2D;">Code</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation</b>
</a>
<br>
Xie Tianyidan, Rui Ma, qian Wang, Xiaoqian Ye, Feixuan Liu, <b>Y. Tai</b>, Zhenyu Zhang, Lanjun Wang, Zili Yi
<br>
<em>AAAI Conference on Artificial Intellige (AAAI)</em>, 2025
<br>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>Guided Real Image Dehazing Using YCbCr Color Space</b>
</a>
<br>
Wenxuan Fang, Junkai Fan, Yu Zheng, Jiangwei Weng, <b>Y. Tai</b>, Jun Li
<br>
<em>AAAI Conference on Artificial Intellige (AAAI)</em>, 2025
<br>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory</b>
</a>
<br>
Sizhuo Jin, Shuo Chen, Jianjun Qian, <b>Y. Tai</b>, Jun Li
<br>
<em>AAAI Conference on Artificial Intellige (AAAI)</em>, 2025
<br>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>From Words to Worth: Newborn Article Impact Prediction with LLM</b>
</a>
<br>
Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, <b>Y. Tai</b>, Jian Yang, Ming-Ming Cheng, Xiang Li
<br>
<em>AAAI Conference on Artificial Intellige (AAAI)</em>, 2025
<br>
</p>
</li>
</ul>
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<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/RealTalk-arxiv24.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2406.18284">
<li><p><b>RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network</b>
</a>
<br>
X. Ji*, C. Lin, Z. Ding, <b>Y. Tai</b>, J. Yang, J. Zhu, X. Hu, J. Zhang, D. Luo and C. Wang.
<br>
<em>arXiv:2406.18284</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2406.18284"; style="color: #EE7F2D;">arXiv</a>
<p></p>
</td><tr>
-->
<ul>
<a href="https://arxiv.org/pdf/2412.08524">
<li><p><b>Learning to Decouple the Lights for 3D Face Texture Modeling</b>
</a>
<br>
Tianxin Huang, Zhenyu Zhang, <b>Ying Tai</b>, Gim Hee Lee.
<br>
<em>Neural Information Processing Systems (NeurIPS)</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2412.08524"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2405.16105">
<li><p><b>MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space</b>
</a>
<br>
Jiangwei Weng, Zhiqiang Yan, <b>Ying Tai</b>, Jianjun Qian, Jian Yang, Jun Li.
<br>
<em>Neural Information Processing Systems (NeurIPS)</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2405.16105"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2410.08192">
<li><p><b>HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation</b>
</a>
<br>
S. Guan*, Y. Ge*, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, J. Yang, W. Li and M. You<b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>European Conference on Computer Vision (ECCV)</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2410.08192"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="https://openaccess.thecvf.com/content/CVPR2024/papers/Xu_FaceChain-ImagineID_Freely_Crafting_High-Fidelity_Diverse_Talking_Faces_from_Disentangled_Audio_CVPR_2024_paper.pdf">
<li><p><b>FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio</b>
</a>
<br>
C. Xu, Y. Liu, J. Xing, W. Wang, M. Sun, J. Dan, T. Huang, S Li, Z. Cheng, <b>Y. Tai</b>, B. Sun
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2024
<br>
<a href="https://openaccess.thecvf.com/content/CVPR2024/papers/Xu_FaceChain-ImagineID_Freely_Crafting_High-Fidelity_Diverse_Talking_Faces_from_Disentangled_Audio_CVPR_2024_paper.pdf"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://github.com/modelscope/facechain?tab=readme-ov-file"; style="color: #EE7F2D;">Code</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2312.06354.pdf">
<li><p><b>PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization</b>
</a>
<br>
X. Peng, J. Zhu, B. Jiang, <b>Y. Tai</b>, D. Luo, J. Zhang, W. Lin, T. Jin, C. Wang, and R. Ji.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2312.06354.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://portraitbooth.github.io/"; style="color: #EE7F2D;">Website</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2309.03508.pdf">
<li><p><b>Dynamic Frame Interpolation in Wavelet Domain</b>
</a>
<br>
L. Kong, B. Jiang, D. Luo, W. Chu, <b>Y. Tai</b>, C. Wang, and J. Yang.
<br>
<em>IEEE Trans. on Image Processing</em>, 2023
<br>
<a href="https://arxiv.org/pdf/2309.03508.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/ltkong218/WaveletVFI"; style="color: #EE7F2D;">Evaluation code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/ltkong218/WaveletVFI.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2203.08612.pdf">
<li><p><b>Learning Versatile 3D Shape Generation with Improved AR Models</b>
</a>
<br>
S. Luo, X. Qian, Y. Fu, Y. Zhang, <b>Y. Tai</b>, Z. Zhang, C. Wang, and X. Xue.
<br>
<em>International Conference on Computer Vision (<b>ICCV</b>)</em>, 2023
<br>
<a href="https://arxiv.org/pdf/2303.14700.pdf"; style="color: #EE7F2D;">arXiv</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1r8jcuDpYAnwRM9HOaVJr9BgvRf9L0Vks/view?usp=share_link">
<li><p><b>Learning Neural Proto-face Field for Disentangled 3D Face Modeling In the Wild</b>
</a>
<br>
Z. Zhang, R. Chen, W. Cao, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, and C. Wang<b><span style="font-family:Wingdings">*</span></b>
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2023
<br>
<a href="https://drive.google.com/file/d/1r8jcuDpYAnwRM9HOaVJr9BgvRf9L0Vks/view?usp=share_link"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1mKZ8e78DtXATv8_oZaB4d-LMBrc6UeEb/view?usp=share_link">
<li><p><b>Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space</b>
</a>
<br>
T. Huang, Z. Ding, J. Zhang, <b>Y. Tai</b>, Z. Zhang, M. Chen, C. Wang, and Y. Liu
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2023
<br>
<a href="https://drive.google.com/file/d/1mKZ8e78DtXATv8_oZaB4d-LMBrc6UeEb/view?usp=share_link"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2305.02572.pdf">
<li><p><b>High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning</b>
</a>
<br>
C. Xu, J. Zhang, J. Zhu, W. Chu, <b>Y. Tai</b>, C. Wang, and Y. Liu
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2023
<br>
<a href="https://arxiv.org/pdf/2305.02572.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2203.11624.pdf">
<li><p><b>High-resolution Iterative Feedback Network for Camouflaged Object Detection</b>
</a>
<br>
X. Hu, S. Wang, X. Qian, H. Dai, W. Ren, D. Luo, <b>Y. Tai</b>, and L. Shao
<br>
<em>AAAI Conference on Artificial Intellige (AAAI)</em>, 2023
<br>
<a href="https://arxiv.org/pdf/2203.11624.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2302.03406.pdf">
<li><p><b>High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets</b>
</a>
<br>
Y. Wang, C. Lin, D. Luo, <b>Y. Tai</b>, Z. Zhang and Y. Xie
<br>
<em>AAAI Conference on Artificial Intellige (AAAI)</em>, 2023 <b style="color: red">[Oral]</b>
<br>
<a href="https://arxiv.org/pdf/2302.03406.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1Sl0ttF1I4uuH7WpZ89hqFliIrSRnkcYT/view?usp=sharing">
<li><p><b>3QNet: 3D Point Cloud Geometry Quantization Compression Network</b>
</a>
<br>
T. Huang, J. Zhang, J. Chen, Z. Ding, <b>Y. Tai</b>, Z. Zhang, C. Wang, and Y. Liu
<br>
<em>ACM Transactions on Graphics</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1Sl0ttF1I4uuH7WpZ89hqFliIrSRnkcYT/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/19jhYLzOsCpDsG1ntvg6rfV-4NzHPKEwW/view?usp=sharing">
<li><p><b>ColorFormer: Image Colorization via Color Memory assisted Hybrid-attention Transformer</b>
</a>
<br>
X. Ji*, B. Jiang*, D. Luo, G. Tao, W. Chu, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, Z. Xie, and C. Wang<b><span style="font-family:Wingdings">*</span></b>
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/19jhYLzOsCpDsG1ntvg6rfV-4NzHPKEwW/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1-hhTHW9aQ60JJqYKIs-6tEB1xtesjG60/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1E2VzLtjWAM9I4ZkvveSLMqXz-frf707C/view?usp=sharing">
<li><p><b>StyleFace: Towards Identity-Disentangled Face Generation on Megapixels</b>
</a>
<br>
Y. Luo, J. Yan, J. Zhu, K. He, W. Chu, <b>Y. Tai</b>, and C. Wang
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1E2VzLtjWAM9I4ZkvveSLMqXz-frf707C/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1ncWoQXQRa7Sg_dKSpbycX0x2ieHlHZJB/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
</p>
</li>
</ul>
<ul>
<a href="google.com">
<li><p><b>Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping</b>
</a>
<br>
C. Xu*, J. Zhang*, Y. Han, G. Tian, X. Zeng, <b>Y. Tai</b>, Y. Wang, C. Wang, and Y. Liu
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1uahR40VteHhBdjRVEN_hPwN9g5r54GZ1/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1CDDtFN6txDdALMkq0Qpc2lFGstmtnntv/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
/
<a href="https://github.com/xc-csc101/UniFace"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/xc-csc101/UniFace.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2207.10315.pdf">
<li><p><b>SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer</b>
</a>
<br>
H. Zhou, Y. Cao, W. Chu, J. Zhu, L. Tong, <b>Y. Tai</b>, and C. Wang
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2022
<br>
<a href="https://arxiv.org/pdf/2207.10315.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
/
<a href="https://drive.google.com/file/d/1p2ubWO25o9e0d0hez6hmzXahww5j_dQc/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
/
<a href="https://github.com/hrzhou2/seedformer"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/hrzhou2/seedformer.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2207.06654.pdf">
<li><p><b>Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation</b>
</a>
<br>
Z. Jiang, Y. Li, C. Yang, P. Gao, Y. Wang, <b>Y. Tai</b>, and C. Wang
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2022
<br>
<a href="https://arxiv.org/pdf/2207.06654.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
/
<a href="https://github.com/jiangzhengkai/ProCA"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/jiangzhengkai/ProCA.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2208.13436.pdf">
<li><p><b>Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution</b>
</a>
<br>
Y. Zhou*, C. Lin*, D. Luo, Y. Liu, Mingang Chen, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, and C. Wang<b><span style="font-family:Wingdings">*</span></b>
<br>
<em>ACM International Conference on Multimedia (<b>ACM MM</b>)</em>, 2022
<br>
<a href="https://arxiv.org/pdf/2208.13436.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
</p>
</li>
</ul>
<ul>
<a href="https://link.springer.com/chapter/10.1007/978-3-031-16446-0_38">
<li><p><b>AutoGAN-Synthesizer: Neural Architecture Searchfor Cross-Modality MRI Synthesis</b>
</a>
<br>
X. Hu, R. Shen, D. Luo, <b>Y. Tai</b>, C. Wang, and B. Menze
<br>
<em>International Conference on Medical Image Computing and Computer Assisted Intervention (<b>MICCAI</b>)</em>, 2022
<br>
<a href="https://link.springer.com/chapter/10.1007/978-3-031-16446-0_38"; style="color: #EE7F2D;">Paper (official link)</a>
/
<a href="https://github.com/HUuxiaobin/AutoGAN-Synthesizer"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/HUuxiaobin/AutoGAN-Synthesizer.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1ZLG3hQuXJ9IkOqvhKyMHuPvS55sJXud3/view?usp=sharing">
<li><p><b>HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control</b>
</a>
<br>
F. Zhu, J. Zhu, W. Chu, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, Z. Xie, X. Huang, and C. Wang<b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>International Joint Conference on Artificial Intelligence (<b>IJCAI</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1ZLG3hQuXJ9IkOqvhKyMHuPvS55sJXud3/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/18f2Spu3Qx1gskjdGh1Edx1ZlWjlC8xGB/view?usp=sharing">
<li><p><b>Blind Face Restoration via Integrating Face Shape and Generative Priors</b>
</a>
<br>
F. Zhu, J. Zhu, W. Chu, X. Zhang, X. Ji, C. Wang<b><span style="font-family:Wingdings">*</span></b>, and <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/18f2Spu3Qx1gskjdGh1Edx1ZlWjlC8xGB/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1BhJa5I95sAzENzo0_He-L8vcsYFlKL9N/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
/
<a href="https://github.com/TencentYoutuResearch/FaceRestoration-sgpn"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/FaceRestoration-sgpn.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1oj4uCqu7E2913JKLohu7nZsj5SvECCdq/view?usp=sharing">
<li><p><b>IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation</b>
</a>
<br>
L. Kong*, B. Jiang*, D. Luo, W. Chu, X. Huang, <b>Y. Tai</b>, C. Wang, and J. Yang.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1oj4uCqu7E2913JKLohu7nZsj5SvECCdq/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/15K_m9HhGQ4MfrUREr0DxcdtEuCnv_OD3/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
/
<a href="https://github.com/ltkong218/IFRNet"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/ltkong218/IFRNet.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1s-6glim2XEKNGmrRJKrXyKFJ1X58B7GA/view?usp=sharing">
<li><p><b>Physically-guided Disentangled Implicit Rendering for 3D Face Modeling</b>
</a>
<br>
Z. Zhang, Y. Ge, <b>Y. Tai</b>, W. Cao, R. Chen, K. Liu, H. Tang, X. Huang, C. Wang, Z. Xie, and D. Huang.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1s-6glim2XEKNGmrRJKrXyKFJ1X58B7GA/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1UohmPBmgoo6-Dh7ES2ugLvy9-X2TVDNi/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/14A4zxu6u5vQ9kROA4HvWllRQ72P8Ml6A/view?usp=sharing">
<li><p><b>Learning to Restore 3D Face from In-the-Wild Degraded Images</b>
</a>
<br>
Z. Zhang, Y. Ge, <b>Y. Tai</b>, X. Huang, C. Wang, H. Tang, D. Huang, and Z. Xie.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/14A4zxu6u5vQ9kROA4HvWllRQ72P8Ml6A/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1ahwfZtPB4YrLWXswsDz2jSPGon2ZCiZa/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1Gq-167f2ue30463K4XMkHOJThg9Yugk0/view?usp=sharing">
<li><p><b>Learning to Memorize Feature Hallucination for One-Shot Image Generation</b>
</a>
<br>
Y. Xie, Y. Fu, J. Zhu, <b>Y. Tai</b>, Y. Cao, and C. Wang.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1Gq-167f2ue30463K4XMkHOJThg9Yugk0/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1dlX3bHVJ8-djyDeuK3B-EhJoNEwxQMSY/view?usp=sharing">
<li><p><b>DIRL: Domain-invariant Representation Learning for Generalizable Semantic Segmentation</b>
</a>
<br>
Q. Xu, L. Yao, Z. Jiang, G. Jiang, W. Chu, W. Han, W. Zhang, C. Wang, and <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>AAAI Conference on Artificial Intellige (<b>AAAI</b>)</em>, 2022 <b style="color: red">[Oral]</b>
<br>
<a href="https://drive.google.com/file/d/1dlX3bHVJ8-djyDeuK3B-EhJoNEwxQMSY/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1LOo18uoqCBZ_fb3HJYOcBVmUMBEVCZRj/view?usp=sharing">
<li><p><b>SCSNet: Simultaneously Image Colorization and Super-Resolution</b>
</a>
<br>
J. Zhang, C. Xu, Y. Han, J. Li, Y. Wang, <b>Y. Tai</b>, C. Wang, F. Huang, Z. Xie, and Y. Liu.
<br>
<em>AAAI Conference on Artificial Intellige (<b>AAAI</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1LOo18uoqCBZ_fb3HJYOcBVmUMBEVCZRj/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://drive.google.com/file/d/1aCz2WOuxa3ppYkb2i43i6_WamA9drLU9/view?usp=sharing">
<li><p><b>LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization</b>
</a>
<br>
Z. Chen, C. Wang, Y. Wang, G. Jiang, Y. Shen, <b>Y. Tai</b>, C. Wang, W. Zhang, and L. Cao.
<br>
<em>AAAI Conference on Artificial Intellige (<b>AAAI</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1aCz2WOuxa3ppYkb2i43i6_WamA9drLU9/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2110.12151.pdf">
<li><p><b>Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution</b>
</a>
<br>
G. Tao, X. Ji, W. Wang, S. Chen, C. Lin, Y. Cao, T. Lu, D. Luo, and <b>Y. Tai</b>.
<br>
<em>Thirty-fifth Conference on Neural Information Processing Systems (<b>NeurIPS</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2110.12151.pdf"; style="color: #EE7F2D;">arXiv</a>
<p><font color="red">A novel framework S2K that predicts the kernel from spectrum in frequency domain</font></p>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2105.15089.pdf">
<li><p><b>Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model</b>
</a>
<br>
J. Zhang, C. Xu, J. Li, W. Chen, Y. Wang, <b>Y. Tai</b>, S. Chen, C. Wang, F. Huang and R. Liu.
<br>
<em>Thirty-fifth Conference on Neural Information Processing Systems (<b>NeurIPS</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2105.15089.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/TencentYoutuResearch/BaseArchitecture-EAT"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/BaseArchitecture-EAT.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2107.12746.pdf">
<li><p><b>Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework</b>
</a>
<br>
Q. Song*, C. Wang*, Z. Jiang, Y. Wang, <b>Y. Tai</b>, C. Wang, J. Li, F. Huang and Y. Wu.
<br>
<em>International Conference on Computer Vision (<b>ICCV</b>)</em>, 2021 <b style="color: red">[Oral]</b>
<br>
<a href="https://arxiv.org/pdf/2107.12746.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/TencentYoutuResearch/CrowdCounting-P2PNet"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/CrowdCounting-P2PNet.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2107.12619.pdf">
<li><p><b>Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting</b>
</a>
<br>
C. Wang*, Q. Song*, B. Zhang, Y. Wang, <b>Y. Tai</b>, X. Hu, C. Wang, J. Li, J. Ma, and Y. Wu.
<br>
<em>International Conference on Computer Vision (<b>ICCV</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2107.12619.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/TencentYoutuResearch/CrowdCounting-UEPNet"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/CrowdCounting-UEPNet.svg" alt="GitHub stars" title="" />
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2003.11228.pdf">
<li><p><b>ASFD: Automatic and Scalable Face Detector</b>
</a>
<br>
J. Li*, B. Zhang*, Y. Wang, <b>Y. Tai</b>, Z. Zhang, C. Wang, J. Li, X. Huang and Y. Xia.
<br>
<em>ACM International Conference on Multimedia (<b>ACM MM</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2003.11228.pdf"; style="color: #EE7F2D;">arXiv</a>
<p><font color="red">Ranked No. 1 on <a href="http://shuoyang1213.me/WIDERFACE/WiderFace_Results.html"; style="color: #EE7F2D;"> <b>WIDER FACE</b></a></font></p>
</p>
</li>
</ul>
<ul>
<a href="https://arxiv.org/pdf/2106.09965.pdf">
<li><p><b>HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping</b>
</a>
<br>
Y. Wang*, X. Chen*, J. Zhu, W. Chu, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, C. Wang, J. Li, Y. Wu, F. Huang and R. Ji.
<br>
<em>International Joint Conference on Artificial Intelligence (<b>IJCAI</b>)</em>, 2021
<br>