| 2026 | WWW | DriftNavi: Talk through Your Data Drift with LLMs. | Zixin Wang, Junliang Yu, Tong Chen, Yadan Luo, Shazia Sadiq |
| 2026 | WACV | SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization. | Bowen Yuan, Yuxia Fu, Zijian Wang, Yadan Luo, Zi Huang |
| 2025 | ADC | Parameter-Efficient Wheat Disease Segmentation. | Shijie Wang, Zijian Wang, Yadan Luo, Pengfei Zhang, Xin Yu |
| 2025 | CVPR | Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving. | Ziying Song, Caiyan Jia, Lin Liu, Hongyu Pan, Yongchang Zhang, Junming Wang, Xingyu Zhang, Shaoqing Xu, Lei Yang, Yadan Luo |
| 2025 | ICCV | Is Less More? Exploring Token Condensation as Training-Free Test-Time Adaptation. | Zixin Wang, Dong Gong, Sen Wang, Zi Huang, Yadan Luo |
| 2025 | ICLR | MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection. | Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Yonggang Zhang, Zi Huang, Yadan Luo |
| 2025 | ICLR | PolaFormer: Polarity-aware Linear Attention for Vision Transformers. | Weikang Meng, Yadan Luo, Xin Li, Dongmei Jiang, Zheng Zhang |
| 2024 | ECCV | Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments. | Djamahl Etchegaray, Zi Huang, Tatsuya Harada, Yadan Luo |
| 2024 | ICLR | ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection. | Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang |
| 2024 | IJCNN | Edge Deployable Online Domain Adaptation for Underwater Object Detection. | Djamahl Etchegaray, Yadan Luo, Yang Li, Brendan Do, Jiajun Liu, Zi Huang, Branislav Kusy |
| 2023 | ADC | Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis. | Xinyi Yang, Zhi Chen, Yadan Luo |
| 2023 | ICCV | Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. | Zhuoxiao Chen, Yadan Luo, Zheng Wang, Mahsa Baktashmotlagh, Zi Huang |
| 2023 | ICCV | Kecor: Kernel Coding Rate Maximization for Active 3D Object Detection. | Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Mahsa Baktashmotlagh, Zi Huang |
| 2023 | ICCV | How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. | Zijian Wang, Yadan Luo, Liang Zheng, Zi Huang, Mahsa Baktashmotlagh |
| 2023 | ICDM | Learning Efficient Unsupervised Satellite Image-based Building Damage Detection. | Yiyun Zhang, Zijian Wang, Yadan Luo, Xin Yu, Zi Huang |
| 2023 | ICLR | Exploring Active 3D Object Detection from a Generalization Perspective. | Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh |
| 2023 | WACV | FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification. | Zijian Wang, Yadan Luo, Zi Huang, Mahsa Baktashmotlagh |
| 2022 | ADC | FluMA: An Intelligent Platform for Influenza Monitoring and Analysis. | Xi Chen, Zhi Chen, Zijian Wang, Ruihong Qiu, Yadan Luo |
| 2021 | ICCV | Semantics Disentangling for Generalized Zero-Shot Learning. | Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang |
| 2021 | ICCV | Learning to Diversify for Single Domain Generalization. | Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh |
| 2021 | IJCAI | Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. | Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang |
| 2020 | AAAI | Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks. | Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang |
| 2020 | ADC | Semi-supervised Cross-Modal Hashing with Graph Convolutional Networks. | Jiasheng Duan, Yadan Luo, Ziwei Wang, Zi Huang |
| 2020 | ADC | Graph-Based Relation-Aware Representation Learning for Clothing Matching. | Yang Li, Yadan Luo, Zi Huang |
| 2020 | ADC | PAIC: Parallelised Attentive Image Captioning. | Ziwei Wang, Zi Huang, Yadan Luo |
| 2020 | ICML | Progressive Graph Learning for Open-Set Domain Adaptation. | Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh |
| 2020 | IJCAI | Human Consensus-Oriented Image Captioning. | Ziwei Wang, Zi Huang, Yadan Luo |
| 2020 | PAKDD | Fashion Recommendation with Multi-relational Representation Learning. | Yang Li, Yadan Luo, Zi Huang |
| 2020 | WACV | CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language. | Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yangyang Yangyang |
| 2019 | ICDE | Context-Aware Attention-Based Data Augmentation for POI Recommendation. | Yang Li, Yadan Luo, Zheng Zhang, Shazia Sadiq, Peng Cui |
| 2019 | ICDE | Collaborative Generative Adversarial Network for Recommendation Systems. | Yuzhen Tong, Yadan Luo, Zheng Zhang, Shazia Sadiq, Peng Cui |
| 2019 | SIGIR | Deep Collaborative Discrete Hashing with Semantic-Invariant Structure. | Zijian Wang, Zheng Zhang, Yadan Luo, Zi Huang |
| 2018 | CIKM | Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning. | Yadan Luo, Ziwei Wang, Zi Huang, Yang Yang, Cong Zhao |