← Search

Xueqin Chen

7 accepted papers

2026

Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment

AAAI 2026technical

Assessing enterprise resilience under uncertainty necessitates capturing both intrinsic attributes and evolving inter-enterprise dependencies. However, real-world enterprise systems pose substantial structural challenges: redundant or loosely correlated links can trigger spurious relational inferenc

Cited by 0SourcePDFScholar
2026

Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning

ICML 2026poster

Instruction-based image editing (IIE) has advanced rapidly with the success of diffusion models. However, existing efforts primarily focus on simple and explicit instructions to execute editing operations such as adding, deleting, moving, or swapping objects. They struggle to handle more complex imp…

Cited by 0SourceScholar
2026

The devil is in the details: Enhancing Video Virtual Try-On via Keyframe-Driven Details Injection

CVPR 2026

Although diffusion transformer (DiT)-based video virtual try-on (VVT) has made significant progress in synthesizing realistic videos, existing methods still struggle to capture fine-grained garment dynamics and preserve background integrity across video frames. They also incur high computational cos

Cited by 0SourceScholar
2025

Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning

AAAI 2025technical

Few-shot Named Entity Recognition (NER) spotlights the tag of novel entity types in data-limited scenarios or lower-resource settings. Advances with Pre-trained Language Models (PLMs), including BERT, GPT, and their variants, have driven tremendous strategies to leverage context-dependent representa…

Cited by 0SourcePDFScholar
2025

CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models

AAAI 2025technical

The rapid spread of diverse information on online social platforms has prompted both academia and industry to realize the importance of predicting content popularity, which could benefit a wide range of applications, such as recommendation systems and strategic decision-making. Recent works mainly f…

2025

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

AAAI 2025technical

The metro flow in Urban Rail Transit Systems (URTS) differs from other urban traffic flows because it is characterized by: (1) highly predetermined scheduling; and (2) interactively dynamic dependencies over the fixed physical infrastructure that vary with spatiotemporal and environmental factors. N…

2024

Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator

IJCAI 2024poster

Fine-grained urban flow inference (FUFI), which involves inferring fine-grained flow maps from their coarse-grained counterparts, is of tremendous interest in the realm of sustainable urban traffic services. To address the FUFI, existing solutions mainly concentrate on investigating spatial dependen…