Oct 23, 2023. Our lab won 2 runners-up and 3 third places in the Artificial Intelligence Challenge hosted by People's Daily Online, standing out among 852 teams from 176 schools. Congrats!

Oct 13, 2023. Congrats to Wenxin Tai, Haoyang Yu, Yuzhou Mao and Tangjiang Qian for awarding the National Scholarship, one of the highest honors for graduate students in China. 

September 11, 2023. The leader of our lab, Professor Fan Zhou, served as the school faculty representative to give a speech at this year's UESTC SISE undergraduate opening ceremony. 

August 29, 2023. Our outsanding graduate, Liu Yu, served as a distinguished student representative to give a speech at this year's UESTC SISE graduate opening ceremony. 

Trustworthy neural networks are the bedrock of responsible AI, forging a path where innovation meets ethics, reliability, and accountability. We primarily focus on improving the NN's interpretability and generalization.

We aim to bridge the gaps between spatial and temporal data and design novel spatial-temporal models for real-world applications such as human trajectories and smart-cities. 

We focus on analyzing the capabilities of large foundation models in various tasks, such as social network analysis and spatial-temporal data modeling.

We study large-scale social networks, such as information diffusion, user interaction, and rumor propagation within the network. 

Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction

Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction

CCGL: Contrastive Cascade Graph Learning

DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement