Intelligent Computing and Data Mining Lab

ICDM lab is affiliated with the School of Information and Software Engineering
University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China, led by Prof. Fan Zhou

Our lab is committed to pushing the boundaries in the realms of artificial intelligence and data mining.
Our mission is to develop innovative methodologies in intelligent computing that can address a wide array of complex, real-world challenges. Moreover, we strive to unearth valuable insights from large-scale data that can inspire solutions and drive social good.

News

National Scholarship

Nov 7, 2024. Congrats to Yi, Yanlong, Jian, Bin, Kai, and Jienan for awarding the National Scholarship, one of the highest honors for university students in China. 

July, 2024. Our paper "RRE: A relevance relation extraction framework for cross-domain recommender system at Alipay" is selected as the one of the 15 best paper candidates of ICME 2024. Congrats to Xovee and other co-authors.

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!

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. 

Research

Trustworthy Artifical Intelligence

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.

Spatial-Temporal Data Modeling

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. 

Foundation Model

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

Social Network Analysis

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

Featured Recent Articles

ACM KDD, 2025

Seeing the Unseen in Micro-Video Popularity Prediction: Self-Correlation Retrieval for Missing Modality Generation

AAAI 2024

Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation

Perspective Students

Join Our Team:
PhD and Postdoctoral Opportunities Available!

We are excited to invite dedicated and enthusiastic students to explore PhD and Postdoc positions in our lab. To apply, kindly share your profile and relevant experience with us

Detailed information about the Master's and Doctoral programs at UESTC can be found here for domestic students and here for international students.

Research Sponsor

Address

433 Main Building
University of Electronic Science and Technology of China
4 Section 2, N Jianshe Rd
Chengdu, Sichuan 610054, China