Xiaofei Zhou
13 papers · 2019–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (4) π Renaissance Researcher (8) πΊοΈ Taxonomy Completionist (32)
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(32)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(72)
π
Conference Pioneer
π
Century Club
(12)
Conferences
AAAI (8)
ACL (2)
IJCAI (2)
CVPR (1)
Top co-authors
Keywords
attention mechanism
(2)
adversarial learning
(2)
sequence labeling
(1)
image restoration
(1)
question answering
(1)
video segmentation
(1)
context-aware learning
(1)
model safety
(1)
temporal reasoning
(1)
relation extraction
(1)
few-shot learning
(1)
image captioning
(1)
video instance segmentation
(1)
object tracking
(1)
semantic segmentation
(1)
machine unlearning
(1)
graph representation
(1)
image denoising
(1)
multi-object tracking
(1)
contrastive learning
(1)
Papers
Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
AAAI 2026
Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models
ACL 2026
A Robust Unlearning Method with Adaptive Knowledge Guidance and Memory Preservation
AAAI 2026
SAM-DAQ: Segment Anything Model with Depth-guided Adaptive Queries for RGB-D Video Salient Object Detection
AAAI 2026
Decoupled Motion Expression Video Segmentation
CVPR 2025
Jailbreak Large Vision-Language Models Through Multi-Modal Linkage
ACL 2025
Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning
AAAI 2024
Exploring Relational Semantics for Inductive Knowledge Graph Completion
AAAI 2022
Image Captioning with Context-Aware Auxiliary Guidance
AAAI 2021
A Relation-Specific Attention Network for Joint Entity and Relation Extraction
IJCAI 2020
A Knowledge-Aware Attentional Reasoning Network for Recommendation
AAAI 2020
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs
IJCAI 2019
DAN: Deep Attention Neural Network for News Recommendation
AAAI 2019