The mission of LDS is to conduct cutting-edge research that can better “understand and analyze actual phenomena” from data. We work closely on the research fields of information retrieval (SIGIR, WWW, CIKM), data mining (KDD, WSDM), natural language processing (ACL, EMNLP), machine learning (NeurIPS, ICML, ICLR), multimedia (ACM MM, CVPR, ICCV), and more generally, artificial intelligence (AAAI, IJCAI). Current research interests are primarily on deep learning, graph learning, meta learning, and causal inference, with particular applications on recommender systems, dialog systems, knowledge graphs, and financial technologies (Fintech).
Congratulations to Chenlu Ding, Jinghan Li, Junfeng Fang, Sihang Li, Junkang Wu and all the collaborators for their papers at ICLR'25.
Congratulations to Yiyan Xu, Chengbing Wang, Mingze Wang, Tianyu Zhang, Wenyu Mao and all the collaborators for their papers at WWW'25.
Congratulations to Junfei Tan, Junfeng Fang, Xingyu Zhu, Xiaoyu Kong, Junkang Wu and all the collaborators for their papers at NeurIPS'24.
Congratulations to Shihao Cai, Wentao Shi, Keqin Bao, Muchen Yang and all the collaborators for their papers at EMNLP'24.