collaborators

6 papers

cs.AI2026

WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models

Hongjin Chen, Shangyun Jiang, Tonghua Su +4

Vision-language models (VLMs) and generative world models are opening new opportunities for embodied navigation. VLMs are increasingly used as direct planners or trajectory predict…

cs.CV2026

Multimodal Continual Instruction Tuning with Dynamic Gradient Guidance

Songze Li, Mingyu Gao, Tonghua Su +2

Multimodal continual instruction tuning enables multimodal large language models to sequentially adapt to new tasks while building upon previously acquired knowledge. However, this…

cs.LG2026

A Comprehensive Evaluation of LLM Reasoning: From Single-Model to Multi-Agent Paradigms

Yapeng Li, Jiakuo Yu, Zhixin Liu +4

Large Language Models (LLMs) are increasingly deployed as reasoning systems, where reasoning paradigms - such as Chain-of-Thought (CoT) and multi-agent systems (MAS) - play a criti…

cs.CV2025

GUSLO: General and Unified Structured Light Optimization

Tinglei Wan, Tonghua Su, Zhongjie Wang

Structured light (SL) 3D reconstruction captures the precise surface shape of objects, providing high-accuracy 3D data essential for industrial inspection and cultural heritage dig…

cs.CV2025

Balancing Stability and Plasticity in Pretrained Detector: A Dual-Path Framework for Incremental Object Detection

Songze Li, Qixing Xu, Tonghua Su +2

The balance between stability and plasticity remains a fundamental challenge in pretrained model-based incremental object detection (PTMIOD). While existing PTMIOD methods demonstr…

cs.CV2025

DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning

Songze Li, Tonghua Su, Xu-Yao Zhang +2

Pre-trained model-based continual learning (PTMCL) has garnered growing attention, as it enables more rapid acquisition of new knowledge by leveraging the extensive foundational un…