ResearchAlpha Leak

Conferences Topics Top Authors Rankings Browse All

Home/Authors/Yu-Chiang Frank Wang

Yu-Chiang Frank Wang

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

27

papers

377

total citations

papers (27)

Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation

SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

NeurMiPs: Neural Mixture of Planar Experts for View Synthesis

Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering

Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration

Scene Graph Expansion for Semantics-Guided Image Outpainting

GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding

Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models

Language-Guided Transformer for Federated Multi-Label Classification

3D Gaussian Inpainting with Depth-Guided Cross-View Consistency

Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks

Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation

VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models

VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models

Learning to Learn in a Semi-Supervised Fashion

Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction

Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation

Segment Anything, Even Occluded

UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing

RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering

EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction

NEURIPS 2025arXiv

Continual Personalization for Diffusion Models

Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis

Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment

LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity

Adversarial Teacher-Student Representation Learning for Domain Generalization

Bias-Eliminating Augmentation Learning for Debiased Federated Learning