6 citations · 8 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Xuming Hu, Chenwei Zhang, Yawen Yang +4
Low-resource Relation Extraction (LRE) aims to extract relation facts from limited labeled corpora when human annotation is scarce. Existing works either utilize self-training sche…
GAHNE: Graph-Aggregated Heterogeneous Network Embedding
Xiaohe Li, Lijie Wen, Chen Qian +1
The real-world networks often compose of different types of nodes and edges with rich semantics, widely known as heterogeneous information network (HIN). Heterogeneous network embe…