Yu Wang

91

Papers

568

Total Citations

1

Affiliations

Affiliations

University of California, San Diego

Papers (91)

Knowledge Graph Prompting for Multi-Document Question Answering

Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector

ParCo: Part-Coordinating Text-to-Motion Synthesis

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

V2Meow: Meowing to the Visual Beat via Video-to-Music Generation

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models

PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation

Exploring Diverse Representations for Open Set Recognition

KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering

ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective

DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers

MBQ: Modality-Balanced Quantization for Large Vision-Language Models

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach

Self-Updatable Large Language Models by Integrating Context into Model Parameters

Holistic Semantic Representation for Navigational Trajectory Generation

AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation

Probabilistic Prompt Distribution Learning for Animal Pose Estimation

Take the Bull by the Horns: Learning to Segment Hard Samples

PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction

DLFR-Gen: Diffusion-based Video Generation with Dynamic Latent Frame Rate

Transferrable Prototypical Networks for Unsupervised Domain Adaptation

Learning a Unified Sample Weighting Network for Object Detection

Adversarial Robustness Under Long-Tailed Distribution

Domain-Specific Suppression for Adaptive Object Detection

Track To Detect and Segment: An Online Multi-Object Tracker

LAR-SR: A Local Autoregressive Model for Image Super-Resolution

CodedVTR: Codebook-Based Sparse Voxel Transformer With Geometric Guidance

Spatial-Temporal Concept Based Explanation of 3D ConvNets

DartBlur: Privacy Preservation With Detection Artifact Suppression

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation

Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms

Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning

Enhanced Multimodal Representation Learning With Cross-Modal KD

A Style and Semantic Memory Mechanism for Domain Generalization

RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection

Learning Concise and Descriptive Attributes for Visual Recognition

Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation

Detecting Objects with Context-Likelihood Graphs and Graph Refinement

DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement

CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS

CenterFormer: Center-based Transformer for 3D Object Detection

Learning Efficient Multi-agent Cooperative Visual Exploration

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning

SVDC: Consistent Direct Time-of-Flight Video Depth Completion with Frequency Selective Fusion

Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds

Continual SFT Matches Multimodal RLHF with Negative Supervision

Rethinking the Upsampling Process in Light Field Super-Resolution with Spatial-Epipolar Implicit Image Function

Long-Tailed Classification with Multi-Granularity Semantics

DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB Image

HoliTracer: Holistic Vectorization of Geographic Objects from Large-Size Remote Sensing Imagery

Zero-Sum vs. Positive-Sum: Effects of Inter-team Competition Modes and Haptic Feedback on Team Flow in Multi-team VR

Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”

SuperJunction: Learning-Based Junction Detection for Retinal Image Registration

H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion

Open-Set Graph Domain Adaptation via Separate Domain Alignment

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation

MEMORYLLM: Towards Self-Updatable Large Language Models

Position: Towards Implicit Prompt For Text-To-Image Models

Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game

Evaluating Quantized Large Language Models

High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling

A Debiased MDI Feature Importance Measure for Random Forests

Unified Language Model Pre-training for Natural Language Understanding and Generation

Joint Contrastive Learning with Infinite Possibilities

Learning to Adapt to Evolving Domains

Meta-learning with an Adaptive Task Scheduler

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

Evaluating Efficient Performance Estimators of Neural Architectures

Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess

Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration

The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games

TA-GATES: An Encoding Scheme for Neural Network Architectures

Out-of-Distribution Detection via Conditional Kernel Independence Model

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning

Multi-Task Learning for Subspace Segmentation