Xiaoqi Wang
10 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (6) π Cross-Pollinator (14)
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π
Century Club
(10)
β
The Questioner
Conferences
ICCV (3)
ICLR (2)
IJCAI (2)
AAAI (1)
CVPR (1)
NIPS (1)
Top co-authors
Keywords
dimensionality reduction
(1)
contrastive learning
(1)
continual learning
(1)
catastrophic forgetting
(1)
zero-shot learning
(1)
semantic segmentation
(1)
image segmentation
(1)
multi-task learning
(1)
domain generalization
(1)
variational inference
(1)
information bottleneck
(1)
image synthesis
(1)
prompt learning
(1)
surrogate loss
(1)
financial time series
(1)
adversarial attack
(1)
vision language model
(1)
foundation model
(1)
molecular graph
(1)
federated learning
(1)
Papers
KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning
AAAI 2026
MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction
IJCAI 2025
Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning
IJCAI 2025
AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?
ICCV 2025
ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts
ICCV 2025
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
NIPS 2024
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation
CVPR 2024
GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
ICLR 2024
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
ICLR 2023
VTNFP: An Image-Based Virtual Try-On Network With Body and Clothing Feature Preservation
ICCV 2019