Penn State’s College of Information Sciences and Technology (IST) was well-represented at the Association for Machinery’s (ACM) 28th International Conference on Information and Knowledge Management (CIKM), held in Beijing, China, Nov. 4-7.
The conference accepted seven papers that involve College of IST researchers and their work to advance technologies related to big data and artificial intelligence.
“CIKM is one of the top conferences in the field of information retrieval and knowledge management,” said Prasenjit Mitra, associate dean for research and professor at the College of IST. “It is a highly competitive venue with a low acceptance rate for papers. The presence of multiple papers in this conference speaks of the active engagement by our faculty to advance scholarship in these fields.”
College of IST researchers represented at the 2019 CIKM include:
- Doctoral students Hua Wei and Guanjie Zheng, and associate professor of IST Zhenhui (Jessie) Li, in collaboration with researchers from Shanghai Jiao Tong University and Tianrang Inc., for their three papers “CoLight: Learning Network-level Cooperation for Traffic Signal Control,” “Learning Phase Competition for Traffic Signal Control,” and “Learning Traffic Signal Control from Demonstrations.”
- Suhang Wang, assistant professor of IST, in collaboration researchers from with Arizona State University and IBM, for “Beyond Word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings.”
- Anna Squicciarini, associate professor of IST, and Sarah Rajtmajer, assistant professor of IST, in collaboration with Chenxi Qiu of Rowan University, for their paper “Rating Mechanisms for Sustainability of Crowdsourcing Platforms.”
- Porter Jenkins, doctoral student; Suhang Wang, assistant professor of IST; and Zhenhui “Jessie” Li, associate professor of IST; in collaboration with Ahmad Farag of Georgia Institute of Technology, for “Unsupervised Representation Learning of Spatial Data via Multimodal Embedding.”
- Shaurya Rohatgi, doctoral student, and C. Lee Giles, the David Reese Professor of Information Sciences and Technology, along with former College of Engineering doctoral candidate Kunho Kim, now a data and applied scientist at Microsoft Research, for their paper “Hybrid Deep Pairwise Classification for Author Name Disambiguation.”
The International Conference on Information and Knowledge Management is strategically positioned in that it publishes at the intersection of research on the management of knowledge, information and data. The annual conference is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future.