Qiang Wang

18

Papers

142

Total Citations

Papers (18)

VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs

CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning

ParZC: Parametric Zero-Cost Proxies for Efficient NAS

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype

Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation

MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning

DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding

Residual Denoising Diffusion Models

Discovering Syntactic Interaction Clues for Human-Object Interaction Detection

Traceable Federated Continual Learning

All-Day Multi-Camera Multi-Target Tracking

Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning

Learning Endogenous Attention for Incremental Object Detection

OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow

Flexible Sharpness-Aware Personalized Federated Learning