6 citations · 9 across the 11 of their papers we have counts for
12 papers
Synergistic Learning in Domain Adaptation with a Known Link: A Minimax Understanding
Pengcheng Xiang, Ling Zhou, Yuhong Yang
When can combining source and target data yield much better performance than using either alone? From a minimax viewpoint, writing for the minimax risk from source a…
Edge-Native Embodied Intelligence for Action-Aware Wireless Edge Networks
Yiru Wang, Chuanao Jiang, Jiahui Cui +4
Embodied intelligence is shifting artificial intelligence from passive digital perception toward active physical interaction. However, foundation-model-enabled embodied agents face…
PhysX-CoT: Structured Physical Reasoning from a Single Image to Simulation-Ready 3D Assets
Jie Huang, Xiaohe Li, Jiahao Li +6
Simulation-ready 3D assets are central to robotics and embodied AI. Generating them from a single image is usually framed as a vision-language model that emits a serialized asset f…
Lingjing: A Simulation Testbed for Multi-Agent Embodied Tasks in Open-Ended Cities
Xiaohe Li, Yiru Wang, Junhao Fan +6
Urban embodied intelligence requires coordination among heterogeneous agents (e.g., UAVs, ground robots, and autonomous vehicles) in dynamic cities. Simulators therefore provide a…
Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models
Xiaohe Li, Jiahao Li, Kaixin Zhang +5
While Multimodal Large Language Models (MLLMs) excel in general vision-language tasks, their application to remote sensing change understanding is hindered by a fundamental "tempor…
Clue Matters: Leveraging Latent Visual Clues to Empower Video Reasoning
Kaixin zhang, Xiaohe Li, Jiahao Li +4
Multi-modal Large Language Models (MLLMs) have significantly advanced video reasoning, yet Video Question Answering (VideoQA) remains challenging due to its demand for temporal cau…
FusionTrack: End-to-End Multi-Object Tracking in Arbitrary Multi-View Environment
Xiaohe Li, Pengfei Li, Zide Fan +4
Multi-view multi-object tracking (MVMOT) has found widespread applications in intelligent transportation, surveillance systems, and urban management. However, existing studies rare…
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception
Xiaohe Li, Haohua Wu, Jiahao Li +5
The rapid increase in remote sensing satellites has led to the emergence of distributed space-based observation systems. However, existing distributed remote sensing models often r…
CINet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention
Xiaohe Li, Feilong Huang, Zide Fan +4
Trajectory prediction for multi-agents in complex scenarios is crucial for applications like autonomous driving. However, existing methods often overlook environmental biases, whic…
FAST: Flexible and Adaptive Semantic Transmission for Resource-constrained Multi-user Generative Semantic Communication
Yiru Wang, Wanting Yang, Fangli Mou +4
The rapid advancement of generative artificial intelligence has spurred innovative approaches to semantic communication, giving rise to a new paradigm known as generative semantic…
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain
Xiaohe Li, Feilong Huang, Zide Fan +4
Trajectory prediction has garnered widespread attention in different fields, such as autonomous driving and robotic navigation. However, due to the significant variations in trajec…
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification
Xiaohe Li, Lijie Wen, Yawen Deng +4
Graph Neural Network (GNN) is an emerging technique for graph-based learning tasks such as node classification. In this work, we reveal the vulnerability of GNN to the imbalance of…