Yang Gao

Retain and Adapt: Auto-Balanced Model Editing for Open-Vocabulary Object Detection under Domain Shifts

QPrompt-R1: Real-Time Reasoning for Domain-Generalized Semantic Segmentation via Group-Relative Query Alignment

A Faster Parameter-Free Regret Matching Algorithm

Distractor-free Generalizable 3D Gaussian Splatting

Macro-from-Micro Planning for High-Quality and Parallelized Autoregressive Long Video Generation

SpatialComposer: 3D Spatial Object Insertion via Image Gaussian Composition

HERA: Efficient Test-Time Adaptation for Cross-Domain Few-Shot Segmentation with Vision Foundation Models

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems

SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks

Identity-Preserving Human Reconstruction from a Single Image via Explicit 3D Reasoning

Finding Harmony in Chemical Data: Hierarchical and Balanced multimodal Fusion for Reaction Yield Prediction

SmartSAM: Segment Ambiguous Objects like Smart Annotators

VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert Distillation

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems

RoboHiMan: A Hierarchical Evaluation Paradigm for Compositional Generalization in Long-Horizon Manipulation

DGPO: Mitigating Likelihood Displacement with Bidirectional KL Divergence Gap

DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection

Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games

Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD

Federated Multi-armed Bandits with Efficient Bit-Level Communications

Multi-Agent Reinforcement Learning with Communication-Constrained Priors

Efficient Last-Iterate Convergence in Solving Extensive-Form Games

In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning

Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms

Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria

Causal Information Prioritization for Efficient Reinforcement Learning

Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning

GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation

Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria

Adapting Informative Structures for Cross-Domain Few-Shot Segmentation

Efficient Predictive Counterfactual Regret Minimization$^+$ Algorithm in Solving Extensive-Form Games

Enhancing Trust-Region Bayesian Optimization via Derivatives of Gaussian Processes

Learning Nash Equilibria in Normal-Form Games via Approximating Stationary Points