| 2025 | ICCV | TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models. | Ruidong Chen, Honglin Guo, Lanjun Wang, Chenyu Zhang, Weizhi Nie, An-An Liu |
| 2024 | AAAI | Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation. | Jing Liu, Lele Sun, Weizhi Nie, Peiguang Jing, Yuting Su |
| 2024 | CVPR | AnyScene: Customized Image Synthesis with Composited Foreground. | Ruidong Chen, Lanjun Wang, Weizhi Nie, Yongdong Zhang, An-An Liu |
| 2024 | CVPR | CAT-DM: Controllable Accelerated Virtual Try-On with Diffusion Model. | Jianhao Zeng, Dan Song, Weizhi Nie, Hongshuo Tian, Tongtong Wang, An-An Liu |
| 2024 | DASFAA | Beyond Users: Denoising Behavior-based Contrastive Learning for Disentangled Cross-Domain Recommendation. | Lele Sun, Jing Liu, Shenyuan Zhang, Weizhi Nie, Anan Liu, Yuting Su |
| 2024 | MICCAI | Causal Intervention for Brain Tumor Segmentation. | Hengxin Liu, Qiang Li, Weizhi Nie, Zibo Xu, Anan Liu |
| 2023 | MICCAI | Chest X-ray Image Classification: A Causal Perspective. | Weizhi Nie, Chen Zhang, Dan Song, Yunpeng Bai, Keliang Xie, An-An Liu |
| 2023 | SMC | Instrumental Variable Learning for Chest X-ray Classification. | Weizhi Nie, Chen Zhang, Dan Song, Yunpeng Bai, Keliang Xie, Anan Liu |
| 2020 | IJCAI | Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval. | Yuting Su, Yuqian Li, Dan Song, Weizhi Nie, Wenhui Li, An-An Liu |
| 2020 | IJCAI | Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval. | Heyu Zhou, Weizhi Nie, Wenhui Li, Dan Song, An-An Liu |
| 2020 | SIGIR | Pairwise View Weighted Graph Network for View-based 3D Model Retrieval. | Zan Gao, Yin-Ming Li, Weili Guan, Weizhi Nie, Zhiyong Cheng, Anan Liu |
| 2019 | ICIP | Characteristic Views Extraction Modal Based-on Deep Reinforcement Learning for 3D Model Retrieval. | Weizhi Nie, Weijie Wang, Anan Liu, Chuang Chen |
| 2018 | IJCAI | Cross-Domain 3D Model Retrieval via Visual Domain Adaption. | Anan Liu, Shu Xiang, Wenhui Li, Weizhi Nie, Yuting Su |
| 2018 | IJCAI | Multi-Level Policy and Reward Reinforcement Learning for Image Captioning. | Anan Liu, Ning Xu, Hanwang Zhang, Weizhi Nie, Yuting Su, Yongdong Zhang |
| 2018 | IJCAI | Hierarchical Graph Structure Learning for Multi-View 3D Model Retrieval. | Yuting Su, Wenhui Li, Anan Liu, Weizhi Nie |
| 2018 | VCIP | PANORAMA-Based Multi-Scale and Multi-Channel CNN for 3D Model Retrieval. | Weizhi Nie, Kun Wang, Yao Lu, Anan Liu, Yuting Su |
| 2016 | CVPR | 3D Convolutional Networks-Based Mitotic Event Detection in Time-Lapse Phase Contrast Microscopy Image Sequences of Stem Cell Populations. | Weizhi Nie, Wenhui Li, Anan Liu, Tong Hao, Yuting Su |
| 2015 | CVPR | Clique-graph matching by preserving global & local structure. | Weizhi Nie, Anan Liu, Zan Gao, Yuting Su |
| 2014 | MMSP | Multi-view action recognition by cross-domain learning. | Weizhi Nie, Anan Liu, Jing Yu, Yuting Su, Lekha Chaisorn, Yongkang Wang, Mohan S. Kankanhalli |
| 2013 | MMM | An Effective Tracking System for Multiple Object Tracking in Occlusion Scenes. | Weizhi Nie, Anan Liu, Yuting Su, Zan Gao |
| 2012 | AVSS | Multiple Person Tracking by Spatiotemporal Tracklet Association. | Weizhi Nie, Anan Liu, Yuting Su |