Ryan Rossi

Research Scientist

San Jose

Ryan Rossi is a machine learning research scientist at Adobe Research in San Jose, CA. His research lies in the fields of machine learning; and spans theory, algorithms, and applications of large complex relational (network/graph) data from social and physical phenomena. Before joining Adobe Research, he had the opportunity to work at a number of industrial, government, and academic research labs including Palo Alto Research Center (Xerox PARC), Lawrence Livermore National Laboratory (LLNL), Naval Research Laboratory (NRL), NASA Jet Propulsion Laboratory (JPL)/California Institute of Technology, University of Massachusetts Amherst, among others. Ryan earned his Ph.D. and M.S. in Computer Science at Purdue University. He was  a recipient of the National Science Foundation Graduate Research Fellowship (NSF GRFP), National Defense Science and Engineering Graduate Fellowship (NDSEG), the Purdue Frederick N. Andrews Fellowship, and Bilsland Dissertation Fellowship awarded to Outstanding Ph.D. candidates.

His publications are available here and on his personal site.

 

My Publications

Linear Quadratic Regulator for Resource-Efficient Cloud Services

Park, Y., Mahadik, K., Rossi, R., Wu, G., Zhao, H. (Nov. 21, 2019)
ACM Symposium on Cloud Computing

Graph Convolutional Networks with Motif-based Attention

Lee, J., Rossi, R., Kong, X., Kim, S., Koh, E., Rao, A. (Nov. 3, 2019)
CIKM, 2019

Latent Network Summarization: Bridging Network Embedding and Summarization

Jin, D., Rossi, R., Koutra, D., Koh, E., Kim, S., Rao, A. (Aug. 4, 2019)
KDD '19 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior

Kim, D., Kim, S., Zhao, H., Li, S., Rossi, R., Koh, E. (Feb. 11, 2019)
WSDM '19 Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining

ynamic Network Embeddings: From Random Walks to Temporal Random Walks

Nguyen, G., Lee, J., Rossi, R., Ahmed, N., Koh, E., Kim, S. (Dec. 10, 2018)
2018 IEEE International Conference on Big Data (Big Data)