Organizing Committee

Weigang Lu is a Full Professor at the School of Computer Science, Northwest University. He received his Ph.D. in Computer Science from Xidian University in 2025. Previously, he was a Postdoctoral Fellow in the Department of Civil and Environmental Engineering at The Hong Kong University of Science and Technology (HKUST). His research focuses on semi-supervised learning and graph neural networks. He has published in venues including NeurIPS, SIGKDD, AAAI, ICDE, WWW, and IEEE TKDE. He serves as a reviewer for leading journals and conferences and has served as a Session Chair for WWW 2026 and AAAI 2026.

Zheng Liang is a Research Engineer at the GREAT Smart Cities Institute at The Hong Kong University of Science and Technology (HKUST). He received his Ph.D. in Civil Engineering (Transportation) in 2023. He obtained a Bachelor of Engineering in Traffic Engineering from Huazhong University of Science and Technology and a dual Bachelor of Economics in Finance Investments from Zhongnan University of Economics and Law in 2018. His research focuses on choice behavior, walkability, machine learning models, big-data analysis, transportation network design, and optimization. He has published in leading transportation journals and conferences.

Qinggang Zhang is a Professor at the School of Artificial Intelligence, Jilin University, which he joined in May 2026. He received his Ph.D. from the Department of Computing, The Hong Kong Polytechnic University, and his bachelor’s degree from the School of Computer Science, Northwestern Polytechnical University. His research focuses on large language models, intelligent agents, retrieval-augmented generation, and LLM security and trustworthiness. In the past three years, he has published more than 20 papers as first or corresponding author in venues including NeurIPS, ICLR, ICML, KDD, ACL, WWW, IEEE TKDE, and ACM TOIS.

Zhiwen Zhang is a Professor at the School of Artificial Intelligence, Jilin University. He received his Ph.D. from the University of Tokyo. Previously, he worked as a senior scientist in Japan and a guest researcher at Tohoku University’s International Research Institute of Disaster Science. His research focuses on spatiotemporal data mining, trajectory modeling, multimodal data fusion, and disaster-risk analytics. He has led a project funded by the JSPS Grant-in-Aid for Early-Career Scientists and published in KDD, IEEE TKDE, TMC, T-ITS, and TVCG. He has also served on program committees and as a reviewer for major conferences and journals.

Changyi Ma is an Associate Professor at the School of Artificial Intelligence, Jilin University. She received her Ph.D. from The Chinese University of Hong Kong in 2022, supervised by Professor Shuguang Cui (IEEE Fellow) and Professor Wenye Li. Her research focuses on machine learning, data mining, and continual learning. She has published in leading conferences and journals in machine learning and data mining. As first author, she received the Best Short Paper Nomination Award at CIKM 2021.

Hong Kam Lo is Chair Professor of Civil and Environmental Engineering and Founding Director of the GREAT Smart Cities Institute at The Hong Kong University of Science and Technology (HKUST). He received his Ph.D. in Civil Engineering from The Ohio State University in 1991. After working at Oak Ridge National Laboratory and the University of California, Berkeley, he joined HKUST in 1996 and became Associate Professor in 2001, Professor in 2007, and Chair Professor in 2014. His research focuses on intelligent transportation systems, smart cities, and sustainability. He developed Hong Kong’s first agent-based dynamic transportation model, adopted by industry for network service planning, and his research on signalized roundabouts has also been implemented. He works with government and industry partners and serves as founding editor-in-chief of Transportmetrica B: Transport Dynamics and managing editor of the Journal of Intelligent Transportation Systems. His awards include the triennial World Conference on Transport Research Award and the School of Engineering Research Excellence Award.