Publications (6)
OmniOVCD: Streamlining Open-Vocabulary Change Detection with SAM 3
Xu Zhang, Danyang Li, Yingjie Xia +4
Change Detection (CD) is a fundamental task in remote sensing. It monitors the evolution of land cover over time. Based on this, Open-Vocabulary Change Detection (OVCD) introduces…
Anomaly Detection of UAV State Data Based on Single-class Triangular Global Alignment Kernel Extreme Learning Machine
Feisha Hu, Qi Wang, Haijian Shao +2
Unmanned Aerial Vehicles (UAVs) are widely used and meet many demands in military and civilian fields. With the continuous enrichment and extensive expansion of application scenari…
Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning
Shiwan Zhao, Zhihu Wang, Xuyang Zhao +10
Post-training has become central to turning pretrained large language models (LLMs) into aligned, capable, and deployable systems. Recent progress spans supervised fine-tuning (SFT…
AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning
Xuyang Zhao, Shiwan Zhao, Hualong Yu +2
Multi-agent systems (MAS) powered by large language models (LLMs) hold significant promise for solving complex decision-making tasks. However, the core process of collaborative dec…
UniChange: Unifying Change Detection with Multimodal Large Language Model
Xu Zhang, Danyang Li, Xiaohang Dong +5
Change detection (CD) is a fundamental task for monitoring and analyzing land cover dynamics. While recent high performance models and high quality datasets have significantly adva…
PPGF: Probability Pattern-Guided Time Series Forecasting
Yanru Sun, Zongxia Xie, Haoyu Xing +2
Time series forecasting (TSF) is an essential branch of machine learning with various applications. Most methods for TSF focus on constructing different networks to extract better…