Jingcai Guo

FlowSteer: Guiding Few-Step Image Synthesis with Authentic Trajectories CVPR 2026 ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation AAAI 2026 Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis AAAI 2026 SG-LoRA: Semantic-guided LoRA Parameters Generation CVPR 2026 STiTch: Semantic Transition and Transportation in Collaboration for Training-Free Zero-Shot Composed Image Retrieval CVPR 2026 TR-DQ: Time-Rotation Diffusion Quantization AAAI 2026 A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering under Non-IID Missing Patterns ICCV 2025 Concept Matching with Agent for Out-of-Distribution Detection AAAI 2025 DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement AAAI 2025 Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning AAAI 2025 ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation IJCAI 2025 Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning IJCAI 2025 FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025 GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation ICML 2025 In-Context Meta LoRA Generation IJCAI 2025 Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition CVPR 2025 On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning IJCAI 2025 SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning ICCV 2025 TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning IJCAI 2025 C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation CVPR 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024 Dual Expert Distillation Network for Generalized Zero-Shot Learning IJCAI 2024 Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures NeurIPS 2024 Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients ICLR 2024 Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement AAAI 2024 On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks AAAI 2024 ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning IJCAI 2024 Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching ECCV 2024 ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning AAAI 2024 Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning CVPR 2023 Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition AAAI 2023 (ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning CVPR 2023 Personalized Federated Learning with Contextualized Generalization IJCAI 2022