Mang Ye

RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation AAAI 2026 Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model AAAI 2026 Text-based Aerial-Ground Person Retrieval AAAI 2026 Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation AAAI 2026 Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense AAAI 2026 CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning ICML 2025 TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification AAAI 2025 NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark AAAI 2025 MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection AAAI 2025 Label-Free Backdoor Attacks in Vertical Federated Learning AAAI 2025 Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification CVPR 2025 Synthetic Data is an Elegant GIFT for Continual Vision-Language Models CVPR 2025 LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models CVPR 2025 Uncertain Multimodal Intention and Emotion Understanding in the Wild CVPR 2025 EMOE: Modality-Specific Enhanced Dynamic Emotion Experts CVPR 2025 FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity CVPR 2025 Chat-based Person Retrieval via Dialogue-Refined Cross-Modal Alignment CVPR 2025 Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings ICCV 2025 Pose-Star: Anatomy-Aware Editing for Open-World Fashion Images ICCV 2025 Energy-based Backdoor Defense Against Federated Graph Learning ICLR 2025 FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation ICML 2025 Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models ICML 2025 SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution ICML 2025 Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning ICML 2025 Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning ICML 2025 Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models ICML 2025 GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention ICML 2025 EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification ICML 2025 $S^2$FGL: Spatial Spectral Federated Graph Learning ICML 2025 Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation ICML 2025 Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification IJCAI 2025 Pixel-wise Divide and Conquer for Federated Vessel Segmentation IJCAI 2025 Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification IJCAI 2025 An Empirical Study of Federated Prompt Learning for Vision Language Model IJCAI 2025 FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference NIPS 2024 Synergy of Sight and Semantics: Visual Intention Understanding with CLIP ECCV 2024 Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning ECCV 2024 Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification ECCV 2024 Prospective Representation Learning for Non-Exemplar Class-Incremental Learning NIPS 2024 An Empirical Study of CLIP for Text-Based Person Search AAAI 2024 Negative Pre-aware for Noisy Cross-Modal Matching AAAI 2024 TexFit: Text-Driven Fashion Image Editing with Diffusion Models AAAI 2024 Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024 Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning ICML 2024 S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning ICML 2024 Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity CVPR 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024 Contextual Augmented Global Contrast for Multimodal Intent Recognition CVPR 2024 All in One Framework for Multimodal Re-identification in the Wild CVPR 2024 Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification CVPR 2024 DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction IJCAI 2024 Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning NIPS 2024 Empowering Visible-Infrared Person Re-Identification with Large Foundation Models NIPS 2024 Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval CVPR 2023 Federated Graph Semantic and Structural Learning IJCAI 2023 Dynamic Personalized Federated Learning with Adaptive Differential Privacy NIPS 2023 Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification ICCV 2023 Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning ICCV 2023 Robust Heterogeneous Federated Learning under Data Corruption ICCV 2023 Rethinking Federated Learning With Domain Shift: A Prototype View CVPR 2023 Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning AAAI 2023 Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning CVPR 2023 Towards Modality-Agnostic Person Re-Identification With Descriptive Query CVPR 2023 Learn From Others and Be Yourself in Heterogeneous Federated Learning CVPR 2022 Robust Federated Learning With Noisy and Heterogeneous Clients CVPR 2022 Improving Self-Supervised Lightweight Model Learning via Hard-Aware Metric Distillation ECCV 2022 Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data IJCAI 2021 Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation ICCV 2021 Channel Augmented Joint Learning for Visible-Infrared Recognition ICCV 2021 Probabilistic Structural Latent Representation for Unsupervised Embedding CVPR 2020 DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series AAAI 2020 Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification ECCV 2020 Variation Generalized Feature Learning via Intra-view Variation Adaptation IJCAI 2019 Unsupervised Embedding Learning via Invariant and Spreading Instance Feature CVPR 2019 Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification IJCAI 2018 Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild ECCV 2018 Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking IJCAI 2018 Dynamic Label Graph Matching for Unsupervised Video Re-Identification ICCV 2017