Publications (6)
WEM: A Node Importance Algorithm in Weighted Networks
Linjie Chen, Na Zhao, Jie Li +3
In view of the node importance in weighted networks, weighted expected method (WEM), was proposed in this paper, which take an advantages of uncertain graph algorithm. First, a wei…
GNNTAL:A Novel Model for Identifying Critical Nodes in Complex Networks
Hao Wang, Ting Luo, Shuang-ping Yang +3
Identification of critical nodes is a prominent topic in the study of complex networks. Numerous methods have been proposed, yet most exhibit inherent limitations. Traditional appr…
TransWorldNG: Traffic Simulation via Foundation Model
Ding Wang, Xuhong Wang, Liang Chen +7
Traffic simulation is a crucial tool for transportation decision-making and policy development. However, achieving realistic simulations in the face of the high dimensionality and…
Lowest Degree Decomposition of Complex Networks
Yong Yu, Ming Jing, Na Zhao +1
The heterogeneous structure implies that a very few nodes may play the critical role in maintaining structural and functional properties of a large-scale network. Identifying these…
Seedance 2.0: Advancing Video Generation for World Complexity
Team Seedance, De Chen, Liyang Chen +168
Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…
CAP: Towards PPG Universal Representation Learning with Patient-level Supervision
Chenyang He, Xinyi Shao, Shun Huang +4
Photoplethysmography (PPG) plays a central role in wearable health monitoring and clinical decision support. Yet existing approaches to universal PPG representation learning largel…