Efficient and Robust Lane Detection Using Three-Stage Feature Extraction with Line Fitting. - Aming Wu; Yahong Han (PCM (1), 2017)

Multi-modal Circulant Fusion for Video-to-Language and Backward. - Aming Wu; Yahong Han (IJCAI, 2018)

Untargeted Adversarial Attack via Expanding the Semantic Gap. - Aming Wu; Yahong Han; Quanxin Zhang 001; Xiaohui Kuang (ICME, 2019)

Video Interactive Captioning with Human Prompts. - Aming Wu; Yahong Han; Yi Yang 001 (IJCAI, 2019)

Connective Cognition Network for Directional Visual Commonsense Reasoning. - Aming Wu; Linchao Zhu; Yahong Han; Yi Yang 001 (NeurIPS, 2019)

Capturing the spatio-temporal continuity for video semantic segmentation. - Xin Chen; Aming Wu; Yahong Han (IET Image Process., 2019)

Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. - Pin Jiang; Aming Wu; Yahong Han; Yunfeng Shao 001; Meiyu Qi; Bingshuai Li (IJCAI, 2020)

Hierarchical Memory Decoding for Video Captioning. - Aming Wu; Yahong Han (CoRR, 2020)

Convolutional Reconstruction-to-Sequence for Video Captioning. - Aming Wu; Yahong Han; Yi Yang 001; Qinghua Hu; Fei Wu 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

CrowdQuake+: Data-driven Earthquake Early Warning via IoT and Deep Learning. - Aming Wu; Jangsoo Lee; Irshad Khan; Young-Woo Kwon 001 (IEEE BigData, 2021)

Universal-Prototype Enhancing for Few-Shot Object Detection. - Aming Wu; Yahong Han; Linchao Zhu; Yi Yang 001 (ICCV, 2021)

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection. - Aming Wu; Rui Liu; Yahong Han; Linchao Zhu; Yi Yang 001 (ICCV, 2021)

Graph-in-Graph Contrastive Learning for Semi-Supervised Adaptation. - Liang Li; Aming Wu; Yahong Han (ICME, 2021)

Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval. - Zhipeng Wang; Hao Wang 062; Jiexi Yan; Aming Wu; Cheng Deng (IJCAI, 2021)

Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement. - Aming Wu; Suqi Zhao; Cheng Deng; Wei Liu 005 (NeurIPS, 2021)

Augmenting Seismic Data Using Generative Adversarial Network for Low-Cost MEMS Sensors. - Aming Wu; Juyong Shin; Jae-Kwang Ahn; Young-Woo Kwon 001 (IEEE Access, 2021)

Universal-Prototype Augmentation for Few-Shot Object Detection. - Aming Wu; Yahong Han; Linchao Zhu; Yi Yang 001; Cheng Deng (CoRR, 2021)

Visual commonsense reasoning with directional visual connections. - Yahong Han; Aming Wu; Linchao Zhu; Yi Yang 001 (Frontiers Inf. Technol. Electron. Eng., 2021)

Hierarchical Memory Decoder for Visual Narrating. - Aming Wu; Yahong Han; Zhou Zhao 001; Yi Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation. - Aming Wu; Cheng Deng (CVPR, 2022)

Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery. - Muli Yang; Yuehua Zhu; Jiaping Yu; Aming Wu; Cheng Deng (CVPR, 2022)

Comparison of Meta-Heuristic Algorithms for Task Scheduling in Distributed Stream Processing. - Dohan Kim 004; Aming Wu; Young-Woo Kwon 001 (PRDC, 2022)

Prototype-guided Cross-task Knowledge Distillation for Large-scale Models. - Deng Li 003; Aming Wu; Yahong Han; Qi Tian 001 (CoRR, 2022)

Complementary spatiotemporal network for video question answering. - Xinrui Li; Aming Wu; Yahong Han (Multim. Syst., 2022)

Instance-Invariant Domain Adaptive Object Detection Via Progressive Disentanglement. - Aming Wu; Yahong Han; Linchao Zhu; Yi Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

AD-TIN: Edge Anomaly Detection for Temporal Interaction Networks using Multi-representation Attention. - Aming Wu; Young-Woo Kwon 001 (ASONAM, 2023)

Discriminating Known from Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder. - Aming Wu; Cheng Deng (CVPR, 2023)

Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation. - Yukuan Min; Aming Wu; Cheng Deng (ICCV, 2023)

Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects. - Aming Wu; Da Chen 003; Cheng Deng (ICCV, 2023)

MAFD: A Federated Distillation Approach with Multi-head Attention for Recommendation Tasks. - Aming Wu; Young-Woo Kwon 001 (SAC, 2023)

Enhancing Recommendation Capabilities Using Multi-Head Attention-Based Federated Knowledge Distillation. - Aming Wu; Young-Woo Kwon 001 (IEEE Access, 2023)

A Decomposable Causal View of Compositional Zero-Shot Learning. - Muli Yang; Chenghao Xu; Aming Wu; Cheng Deng (IEEE Trans. Multim., 2023)

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization. - Deng Li 003; Aming Wu; Yaowei Wang 001; Yahong Han (CVPR, 2024)

Enhanced Small Target Recognition with Lightweight YOLOv5 in Low-Res Images. - Jingjing Wang; Hucheng Wang; Aming Wu (ICACI, 2024)

Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects. - Aming Wu; Cheng Deng (ICLR, 2024)

Pre-LogMGAE: Identification of Log Anomalies Using a Pre-Trained Masked Graph Autoencoder. - Aming Wu; Young-Woo Kwon 001 (SRDS, 2024)

Unsupervised Out-of-Distribution Object Detection via PCA-Driven Dynamic Prototype Enhancement. - Aming Wu; Cheng Deng; Wei Liu 005 (IEEE Trans. Image Process., 2024)

Prototype-Decomposed Knowledge Distillation for Learning Generalized Federated Representation. - Aming Wu; Jiaping Yu; Yuxuan Wang; Cheng Deng (IEEE Trans. Multim., 2024)

TIB: Detecting Unknown Objects via Two-Stream Information Bottleneck. - Aming Wu; Cheng Deng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Reasoning Mamba: Hypergraph-Guided Region Relation Calculating for Weakly Supervised Affordance Grounding. - Yuxuan Wang; Aming Wu; Muli Yang; Yukuan Min; Yihang Zhu; Cheng Deng (CVPR, 2025)

Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection. - Aming Wu; Cheng Deng (CVPR, 2025)

Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection. - Zihao Zhang; Aming Wu; Yahong Han (CVPR, 2025)

CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement. - Aming Wu; Cheng Deng (ICLR, 2025)

Progressive Invariant Causal Feature Learning for Single Domain Generalization. - Yuxuan Wang; Muli Yang; Aming Wu; Cheng Deng (IEEE Trans. Image Process., 2025)

Memory-Enhanced Confidence Calibration for Class-Incremental Unsupervised Domain Adaptation. - Jiaping Yu; Muli Yang; Aming Wu; Cheng Deng (IEEE Trans. Multim., 2025)

Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios. - Deng Li; Aming Wu; Yang Li; Yaowei Wang; Yahong Han (CoRR, 2025)

Prototype-guided cross-task knowledge distillation. - Deng Li 003; Peng Li; Aming Wu; Yahong Han (Frontiers Inf. Technol. Electron. Eng., 2025)