Jingcai Guo
31 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Cross-Pollinator (14)
π§
Keyword Pioneer
π€
Dynamic Duo
(15)
π
Triple Crown
π
Grand Slam
π¬
Deep Specialist
(11)
π
Keyword Champion
β‘
Prolific Year
(13)
ποΈ
Keyword Collector
(126)
π
Century Club
(28)
π₯
Unstoppable
(5)
Conferences
AAAI (10)
IJCAI (9)
CVPR (5)
ICCV (2)
ICML (2)
ECCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
zero-shot learning
(8)
compositional zero-shot learning
(4)
transfer learning
(4)
representation learning
(4)
visual-semantic mapping
(3)
graph neural network
(3)
federated learning
(3)
in-context learning
(2)
semantic descriptor
(2)
model compression
(2)
visual-semantic alignment
(2)
distributed learning
(2)
knowledge distillation
(2)
low-rank adaptation
(2)
large language model
(2)
multi-label learning
(2)
domain adaptation
(1)
catastrophic forgetting
(1)
domain generalization
(1)
network architecture
(1)
Papers
Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis
AAAI 2026
TR-DQ: Time-Rotation Diffusion Quantization
AAAI 2026
ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation
AAAI 2026
A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering under Non-IID Missing Patterns
ICCV 2025
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
AAAI 2025
Concept Matching with Agent for Out-of-Distribution Detection
AAAI 2025
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
AAAI 2025
Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition
CVPR 2025
SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning
ICCV 2025
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
ICML 2025
ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation
IJCAI 2025
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
IJCAI 2025
Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning
IJCAI 2025
In-Context Meta LoRA Generation
IJCAI 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
IJCAI 2025
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
IJCAI 2025
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
ICLR 2024
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
ICML 2024
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement
AAAI 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
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
NIPS 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
Dual Expert Distillation Network for Generalized Zero-Shot Learning
IJCAI 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
CVPR 2024
C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
CVPR 2024
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition
AAAI 2023
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
CVPR 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