BD4UI
Central South University
Central South University · Computer Science
BD4UI is led by Prof. Senzhang Wang at the School of Computer Science and Engineering, Central South University. Our research spans smart cities, machine learning, graph data mining, spatio-temporal data mining, recommender systems, and large language models. We welcome graduate students, Ph.D. candidates, research interns, and collaborators interested in urban intelligence and data mining.
About BD4UI
Professor, Ph.D. Supervisor · School of Computer Science and Engineering, CSU
Prof. Wang's research interests include smart cities, machine learning, graph data mining, spatio-temporal data mining, recommender systems, and large language models. He has published more than 200 papers, including over 60 CCF-A papers. His work has received more than 10,000 Google Scholar citations, with an H-index of 58.
Research
We study forecasting, simulation, and decision intelligence for traffic flow, demand, congestion, air quality, and urban risk in city systems.
We study graph representation learning, graph contrastive learning, and graph data mining for social networks, knowledge graphs, road networks, and heterogeneous urban entities.
We investigate how LLMs support urban knowledge QA, planning assistance, multimodal understanding, graph reasoning, and explainable decisions.
We design recommendation, representation learning, transfer learning, and machine learning methods for user behavior, urban services, and multi-source data.
Publications
15 papers
Datasets
An open benchmark for multimodal attributed graph learning, with datasets, experiment scripts, and evaluation protocols.
An open benchmark for text-attributed graph learning, supporting unified evaluation and reproducible experiments.
For data related to city operations, transportation, and industry collaborations, please contact the team by email and follow project-specific agreements.
People
The team recruits three master's students and one Ph.D. student each year. Our research focuses on fundamental problems in big-data-driven smart cities and urban computing. We aim to publish high-quality academic papers and build an influential domestic laboratory for big data analytics, mining, and knowledge discovery.
Direct Ph.D. track after master's study; interned at MSRA. Published one CCF-A NeurIPS 2023 paper, one CCF-A KDD 2025 paper, one CCF-B ACM TKDD journal paper, one CCF-B SDM paper, one CCF-B ECML-PKDD paper, and one CCF-B WSDM 2024 paper. Twice received the National Scholarship.
Published one CCF-A NeurIPS 2025 paper.
Published one CCF-A AAAI paper.
Published one CCF-B CIKM paper and one CCF-B IJCAI paper; interned at Tencent.
Published one CCF-B IJCAI paper.
Submitted one CCF-B conference paper; interned at Sangfor.
Published one CCF-B IJCAI paper.
Current master's student.
Current master's student.
Current master's student.
Alumni
Published one CCF-A AAAI 2025 paper; granted one patent; joined Alibaba; received the National Scholarship.
Published one CCF-A NeurIPS 2024 paper and one CCF-A KDD 2026 paper; visited The Hong Kong Polytechnic University; pursuing a Ph.D. at The Hong Kong University of Science and Technology (Guangzhou).
Published one CCF-A KDD 2024 paper, one CCF-A TKDE journal paper, and one CCF-A TMC journal paper; received the National Scholarship; joined Meituan.
Published two CCF-A NeurIPS 2023 papers, one CCF-A WWW 2025 paper, and one CCF-A ICLR 2026 paper; interned at MSRA; received the National Scholarship; pursuing a Ph.D. at The Hong Kong Polytechnic University.
Published one CCF-A AAAI 2023 paper; interned at Huawei and Alibaba; joined Agricultural Bank of China, Guangzhou.
Published two CCF-A IJCAI 2024 papers; interned at Alibaba; received the National Scholarship; joined Hunan Meteorological Information Center.
Visited The Hong Kong Polytechnic University for six months; published one CCF-A TKDE journal paper and one CCF-A AAAI 2025 paper; pursuing a Ph.D. at the University of Georgia.
Published one CCF-B journal paper; joined Meituan.
Published one CCF-A TKDE journal paper and one CCF-A IJCAI paper; entered a master's-to-Ph.D. program at Nanjing University of Aeronautics and Astronautics; joined Nanjing University of Information Science and Technology.
Published one CCF-A TKDE journal paper and one CCF-B CIKM paper; interned at JD Smart City Research Institute; joined Tianyi Digital Life Technology Co., Ltd.
Published one CCF-B Journal of Cyber Security paper and one SCI journal paper; joined China Construction Bank.
Published one CCF-B ECML-PKDD paper; joined Anhui Bowei Chang'an Electronics Co., Ltd.
Published one CCF-B SDM paper and one JCR Q1 ACM TIST transaction paper; filed one patent; joined Alibaba.
Published one CCF-A IJCAI paper and filed two patents; interned at Alibaba Nanjing; joined Intel Shanghai.
Recipient of the overseas Excellent Young Scientists Fund; interned at Tencent Maps; visited The Hong Kong Polytechnic University for three months; received a Ph.D. from Aalborg University, Denmark; currently Research Assistant Professor at The Hong Kong Polytechnic University.
Won one Best Student Paper Award, filed two patents, won first and second prizes in the National Graduate Mathematical Contest in Modeling, interned at JD Nanjing Research Institute, and joined Anhui Normal University as a faculty member.
Join Us
BD4UI recruits master's students, Ph.D. students, and welcomes motivated undergraduates and visiting students interested in research.
The faculty profile states that the team recruits three master's students each year. Students from computer science, mathematics, transportation, GIS, and related backgrounds are welcome.
The faculty profile states that the team recruits one Ph.D. student each year. Visiting students with research experience are also welcome to contact us.
We welcome academic and industry collaborations around smart cities, transportation intelligence, and trustworthy data sharing.
Contact
Applicants may include a CV, transcript, representative project, or paper reading notes in the email.
Big Data for Urban Intelligence Lab · Central South University Main Campus