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Yuncheng Jiang

7 accepted papers

2026

Beyond Cosine Similarity: Magnitude-Aware CLIP for No-Reference Image Quality Assessment

AAAI 2026technical

Recent efforts have repurposed the Contrastive Language-Image Pre-training (CLIP) model for No-Reference Image Quality Assessment (NR-IQA) by measuring the cosine similarity between the image embedding and textual prompts such as "a good photo" or "a bad photo." However, this semantic similarity ove

Cited by 0SourcePDFScholar
2026

Can Edge Addition Be Safe and Effective? Adjacency-Centered Augmentation via Langevin and SDE Diffusion for Self-Supervised Graph Anomaly Detection

IJCAI 2026

Edge addition is commonly considered risky in Graph Anomaly Detection (GAD), as random edge addition may induce anomaly–normal connectivity. Consequently, most existing augmentation strategies focus on feature perturbation, edge removal, or subgraph sampling, leaving edge addition largely unexplored

Cited by 0Scholar
2026

Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling

AAAI 2026technical

Fine-grained image-text alignment is a pivotal challenge in multimodal learning, underpinning key applications such as visual question answering, image captioning, and vision-language navigation. Unlike global alignment, fine-grained alignment requires precise correspondence between localized visual

Cited by 0SourcePDFScholar
2026

Learning Adaptive Topology with FiLM-Guided Distillation for Tertiary Structure-Based RNA Design

ICML 2026poster

Tertiary structure-based RNA design aims to generate RNA sequences that can fold into desired 3D structures, but remains a challenging problem due to the scarcity of annotated data, structural noise, and the intrinsic complexity of RNA topology. Existing structure-to-sequence frameworks largely rely…

Cited by 0SourceScholar
2026

TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology

AAAI 2026technical

Topological Data Analysis (TDA) provides artificial intelligence (AI) systems with mathematically rigorous geometric descriptors through Persistent Homology (PH), capturing essential shape characteristics in high-dimensional data. Yet, PH’s combinatorial complexity and sensitivity to outliers hinder

Cited by 0SourcePDFScholar
2025

Grouping-Based Crowding Differential Evolution Approaches for Multimodal Feature Selection

ICASSP 2025accepted

Feature selection can increase the classification accuracy and reduce the scale of feature subset, which is important in various machine learning tasks. However, there are various preferences and limitations for the usage of features in different application scenes, and thus different scenes may req…

Cited by 0SourceScholar
2022

Entity Alignment with Reliable Path Reasoning and Relation-aware Heterogeneous Graph Transformer

IJCAI 2022poster

Entity Alignment (EA) has attracted widespread attention in both academia and industry, which aims to seek entities with same meanings from different Knowledge Graphs (KGs). There are substantial multi-step relation paths between entities in KGs, indicating the semantic relations of entities. Howeve…