Weili Guan

23 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (11)

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🤝 Dynamic Duo (10) ⚡ Prolific Year (10) 🗃️ Keyword Collector (99) 💎 Century Club (17)

Conferences

ACL (5) ICCV (5) AAAI (4) CVPR (4) NIPS (2) EMNLP (1) ICML (1) IJCNLP (1)

Top co-authors

Liqiang Nie (11) Yupeng Hu (4) Xinyang Chen (4) Gongwei Chen (4) Rui Shao (3) Xiucheng Li (3) Miao Zhang (3) Min Zhang (2) Feng Zheng (2) Yang Shu (2)

Keywords

vision-language model (3) knowledge graph (3) model compression (3) attention mechanism (3) multimodal learning (3) large language model (2) domain adaptation (2) distant supervision (2) transfer learning (2) representation learning (2) dataset distillation (2) synthetic dataset (2) label embedding (2) curriculum learning (2) relation extraction (2) multimodal large language model (2) time series classification (2) convex optimization (1) adversarial learning (1) anomaly detection (1)

Papers

PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records 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 Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering AAAI 2026 Resonating with RoPE: Spectral Quantization for High-Fidelity Key Cache Compression ACL 2026 Amplifying Discrepancies: Exploiting Macro and Micro Inconsistencies for Image Manipulation Localization AAAI 2026 Object-Shot Enhanced Grounding Network for Egocentric Video CVPR 2025 Social Debiasing for Fair Multi-modal LLMs ICCV 2025 Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification ICCV 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 ENCODER: Entity Mining and Modification Relation Binding for Composed Image Retrieval AAAI 2025 Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification AAAI 2025 PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models ACL 2025 Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation CVPR 2025 Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025 MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models NIPS 2024 Boosting Transferability and Discriminability for Time Series Domain Adaptation NIPS 2024 Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models ICCV 2023 Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models ICCV 2023 Semi-Supervised Video Inpainting With Cycle Consistency Constraints CVPR 2023 Improving Distantly-Supervised Relation Extraction with Joint Label Embedding IJCNLP 2019 Improving Distantly-Supervised Relation Extraction with Joint Label Embedding EMNLP 2019