| 2026 | AAAI | Simulating Distribution Dynamics: Liquid Temporal Feature Evolution for Single-Domain Generalized Object Detection. | Zihao Zhang, Yang Li, Aming Wu, Yahong Han |
| 2025 | CVPR | Reasoning Mamba: Hypergraph-Guided Region Relation Calculating for Weakly Supervised Affordance Grounding. | Yuxuan Wang, Aming Wu, Muli Yang, Yukuan Min, Yihang Zhu, Cheng Deng |
| 2025 | CVPR | Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection. | Aming Wu, Cheng Deng |
| 2025 | CVPR | Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection. | Zihao Zhang, Aming Wu, Yahong Han |
| 2025 | ICCV | Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios. | Deng Li, Aming Wu, Yang Li, Yaowei Wang, Yahong Han |
| 2025 | ICCV | Vision-Language Interactive Relation Mining for Open-Vocabulary Scene Graph Generation. | Yukuan Min, Muli Yang, Jinhao Zhang, Yuxuan Wang, Aming Wu, Cheng Deng |
| 2025 | ICCV | VGMamba: Attribute-to-Location Clue Reasoning for Quantity-Agnostic 3D Visual Grounding. | Yihang Zhu, Jinhao Zhang, Yuxuan Wang, Aming Wu, Cheng Deng |
| 2025 | ICLR | CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement. | Aming Wu, Cheng Deng |
| 2024 | CVPR | Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization. | Deng Li, Aming Wu, Yaowei Wang, Yahong Han |
| 2024 | ICLR | Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects. | Aming Wu, Cheng Deng |
| 2024 | SRDS | Pre-LogMGAE: Identification of Log Anomalies Using a Pre-Trained Masked Graph Autoencoder. | Aming Wu, Young-Woo Kwon |
| 2023 | CVPR | Discriminating Known from Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder. | Aming Wu, Cheng Deng |
| 2023 | ICCV | Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation. | Yukuan Min, Aming Wu, Cheng Deng |
| 2023 | ICCV | Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects. | Aming Wu, Da Chen, Cheng Deng |
| 2023 | SAC | MAFD: A Federated Distillation Approach with Multi-head Attention for Recommendation Tasks. | Aming Wu, Young-Woo Kwon |
| 2022 | CVPR | Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation. | Aming Wu, Cheng Deng |
| 2022 | CVPR | Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery. | Muli Yang, Yuehua Zhu, Jiaping Yu, Aming Wu, Cheng Deng |
| 2022 | PRDC | Comparison of Meta-Heuristic Algorithms for Task Scheduling in Distributed Stream Processing. | Dohan Kim, Aming Wu, Young-Woo Kwon |
| 2021 | ICCV | Universal-Prototype Enhancing for Few-Shot Object Detection. | Aming Wu, Yahong Han, Linchao Zhu, Yi Yang |
| 2021 | ICCV | Vector-Decomposed Disentanglement for Domain-Invariant Object Detection. | Aming Wu, Rui Liu, Yahong Han, Linchao Zhu, Yi Yang |
| 2021 | IJCAI | Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval. | Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng |
| 2020 | IJCAI | Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. | Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li |
| 2019 | IJCAI | Video Interactive Captioning with Human Prompts. | Aming Wu, Yahong Han, Yi Yang |
| 2018 | IJCAI | Multi-modal Circulant Fusion for Video-to-Language and Backward. | Aming Wu, Yahong Han |