Min Zhang

31

Papers

403

Total Citations

Papers (31)

Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference

An Empirical Study of CLIP for Text-Based Person Search

Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation

VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation

MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation

Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering

Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models

InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment

Expressive Forecasting of 3D Whole-Body Human Motions

IDInit: A Universal and Stable Initialization Method for Neural Network Training

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models

AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios

CALM: Consensus-Aware Localized Merging for Multi-Task Learning

FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing

Learning to Reweight for Generalizable Graph Neural Network

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context

Boosting Verified Training for Robust Image Classifications via Abstraction

Cortical Surface Shape Analysis Based on Alexandrov Polyhedra

MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters

FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation

AE-OT-GAN: Training GANs from data specific latent distribution

Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation

Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability

Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM

BERT-Based Code Learning for Exception Localization and Type Prediction

Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward

R-Drop: Regularized Dropout for Neural Networks

LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model

Beyond MLE: Convex Learning for Text Generation

Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks