Yang Gao

57

Papers

183

Total Citations

Papers (57)

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

NeurIPS 2025arXiv

Digital Life Project: Autonomous 3D Characters with Social Intelligence

SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters

Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving

Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

Multi-Agent Reinforcement Learning with Communication-Constrained Priors

Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games

Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning

DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning

Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning

HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models

Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation

Safe and Robust Subgame Exploitation in Imperfect Information Games

EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data

Compact Bilinear Pooling

End-To-End Learning of Driving Models From Large-Scale Video Datasets

Revisiting Metric Learning for SPD Matrix Based Visual Representation

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning

NAS-FCOS: Fast Neural Architecture Search for Object Detection

Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation

ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation

Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation

Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery

Generalized Orderless Pooling Performs Implicit Salient Matching

A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification

Manifold Alignment for Semantically Aligned Style Transfer

LoFGAN: Fusing Local Representations for Few-Shot Image Generation

Mining Latent Classes for Few-Shot Segmentation

IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization

DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering

DomainAdaptor: A Novel Approach to Test-time Adaptation

Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition

HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling

EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer

MVDG: A Unified Multi-View Framework for Domain Generalization

Semantic-Aware Fine-Grained Correspondence

CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation

Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction

Weakly Supervised Multimodal Affordance Grounding for Egocentric Images

Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration

Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning

Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos

Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining

NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations

Fighting Copycat Agents in Behavioral Cloning from Observation Histories

Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration

Reinforcement Learning with Latent Flow

Mastering Atari Games with Limited Data

An Empirical Study on Disentanglement of Negative-free Contrastive Learning

Planning for Sample Efficient Imitation Learning

Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning

Efficient Subgame Refinement for Extensive-form Games