| 2026 | AAAI | OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation. | Zhanpeng Wang, Shuting Cao, Yuhang Lu, Yuhan Li, Na Lei, Zhongxuan Luo |
| 2025 | AAAI | Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving. | Yuhang Lu, Yichen Yao, Jiadong Tu, Jiangnan Shao, Yuexin Ma, Xinge Zhu |
| 2025 | ICCV | ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving. | Yuhang Lu, Jiadong Tu, Yuexin Ma, Xinge Zhu |
| 2025 | ICIP | Pose-Invariant Face Recognition via Feature-Space Pose Frontalization. | Nikolay Stanishev, Yuhang Lu, Touradj Ebrahimi |
| 2025 | IJCAI | Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. | Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-E Wang, Chunming Hu, Xianxian Li, Xingcheng Fu |
| 2025 | ICRA | Renderworld: World Model with Self-Supervised 3D Label. | Ziyang Yan, Wenzhen Dong, Yihua Shao, Yuhang Lu, Haiyang Liu, Jingwen Liu, Haozhe Wang, Zhe Wang, Yan Wang, Fabio Remondino, Yuexin Ma |
| 2024 | CBMI | XAIface: A Framework and Toolkit for Explainable Face Recognition. | Nlida Mirabet-Herranz, Martin Winter, Yuhang Lu, Naima Bousnina, Jonas Pfister, Chiara Galdi, Jean-Luc Dugelay, Werner Bailer, Touradj Ebrahimi, Paulo Lobato Correia, Fernando Pereira, Felix Schmautzer, Erich Schweighofer |
| 2024 | ICIP | Towards the Detection of AI-Synthesized Human Face Images. | Yuhang Lu, Touradj Ebrahimi |
| 2024 | WACV | Towards Visual Saliency Explanations of Face Verification. | Yuhang Lu, Zewei Xu, Touradj Ebrahimi |
| 2023 | AAAI | Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint. | Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu |
| 2023 | ICCV | See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data. | Yuhang Lu, Qi Jiang, Runnan Chen, Yuenan Hou, Xinge Zhu, Yuexin Ma |
| 2023 | MMSP | Discriminative Deep Feature Visualization for Explainable Face Recognition. | Zewei Xu, Yuhang Lu, Touradj Ebrahimi |
| 2023 | VCIP | Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation. | Yuhang Lu, Touradj Ebrahimi |
| 2022 | AAAI | Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation. | Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang |
| 2022 | CVPR | Unsupervised Homography Estimation with Coplanarity-Aware GAN. | Mingbo Hong, Yuhang Lu, Nianjin Ye, Chunyu Lin, Qijun Zhao, Shuaicheng Liu |
| 2022 | ICPR | Dynamic Attention based Domain Generalization for Face Anti-Spoofing. | Sheng Zhang, Zhibin Gao, Yunhao Lin, Yuhang Lu, Lianfen Huang |
| 2020 | ECCV | Structured Landmark Detection via Topology-Adapting Deep Graph Learning. | Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao |
| 2020 | MICCAI | Learning to Segment Anatomical Structures Accurately from One Exemplar. | Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao |
| 2019 | ICCS | 2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning. | Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu |
| 2018 | AAAI | Curve-Structure Segmentation From Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects. | Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Y. Smith, Colin Wilder, Song Wang |
| 2018 | ECCV | Does Haze Removal Help CNN-Based Image Classification? | Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang |
| 2018 | KSEM | Fine-Grained Correlation Learning with Stacked Co-attention Networks for Cross-Modal Information Retrieval. | Yuhang Lu, Jing Yu, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang |