Weili Guan
25 papers · 2019–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (64) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint
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Research topics
Artificial Intelligence
(18)
Core AI
(17)
Deep Learning
(14)
Machine Learning
(14)
Learning Types Β· Deep Learning
(9)
Application Areas
(8)
Learning Types Β· Machine Learning
(7)
Computer Vision
(5)
Core Methods
(5)
Architectures
(4)
Learning Paradigms
(4)
Optimization & Theory
(4)
Natural Language Processing
(2)
Analysis
(2)
Applications
(2)
Keywords
vision-language model
(6)
multimodal large language model
(3)
multimodal learning
(3)
model compression
(3)
domain adaptation
(2)
curriculum learning
(2)
attention mechanism
(2)
representation learning
(2)
synthetic dataset
(2)
transfer learning
(2)
knowledge graph
(2)
time series classification
(2)
dataset distillation
(2)
large language model
(2)
convex optimization
(1)
adversarial learning
(1)
anomaly detection
(1)
stochastic gradient descent
(1)
post-training quantization
(1)
knowledge distillation
(1)
Papers
Amplifying Discrepancies: Exploiting Macro and Micro Inconsistencies for Image Manipulation Localization
AAAI 2026
Boosting Visual Reprogramming for CLIP with Dual Granularity Alignment
CVPR 2026
Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering
AAAI 2026
EnergyAction: Unimanual to Bimanual Composition with Energy-Based Models
CVPR 2026
HATS: Hardness-Aware Trajectory Synthesis for GUI Agents
CVPR 2026
PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records
ACL 2026
Resonating with RoPE: Spectral Quantization for High-Fidelity Key Cache Compression
ACL 2026
Reusable Experiences: Latent Routing and Modular Composition in LLMs
ACL 2026
SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking
ACL 2026
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
AAAI 2025
Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation
CVPR 2025
Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification
ICCV 2025
ENCODER: Entity Mining and Modification Relation Binding for Composed Image Retrieval
AAAI 2025
FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers
ICCV 2025
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
ICML 2025
Object-Shot Enhanced Grounding Network for Egocentric Video
CVPR 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
ACL 2025
Social Debiasing for Fair Multi-modal LLMs
ICCV 2025
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
CVPR 2025
Boosting Transferability and Discriminability for Time Series Domain Adaptation
NeurIPS 2024
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
NeurIPS 2024
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
ICCV 2023
Semi-Supervised Video Inpainting With Cycle Consistency Constraints
CVPR 2023
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
ICCV 2023
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
EMNLP 2019