Ryan A. Rossi

Research Scientist

San Jose

Ryan A. 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.

 

Publications

A Structural Graph Representation Learning Framework

Rossi, R., Ahmed, N., Koh, E., Kim, S., Rao, A., Abbasi-Yadkori, Y. (Feb. 4, 2020)

Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM)

Real-Time Clustering for Large Sparse Online Visitor Data

Chan, G., Du, F., Rossi, R., Rao, A., Koh, E., Silva, C., Freire, J. (Jan. 20, 2020)

Proceedings of The Web Conference (WWW)

Approximate Maximum Matching in Random Streams

Farhadi, A., Hajiaghayi, M., Mai, T., Rao, A., Rossi, R. (Jan. 1, 2020)

Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)

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

Node2BITS: Compact Time- and Attribute-aware Node Representations for User Stitching

Jin, D., Heimann, M., Rossi, R., Koutra, D. (Sep. 16, 2019)

ECML/PKDD

Heterogeneous Network Motifs

Rossi, R., Ahmed, N., Carranza, A., Arbour, D., Rao, A., Kim, S., Koh, E. (Aug. 5, 2019)

MLG KDD

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

role2vec: Role-based Network Embeddings

Ahmed, N., Rossi, R., Lee, J., Willke, T., Zhou, R., Kong, X., Eldardiry, H. (Aug. 4, 2019)

Deep Learning on Graphs (DLG KDD)

Estimation of Graphlet Counts in Massive Networks

Rossi, R., Zhou, R., Ahmed, N. (Jan. 1, 2019)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs

Rossi, R., Zhou, R., Ahmed, N., Eldardiry, H. (Dec. 10, 2018)

IEEE BigData

Interactive Higher-order Network Analysis

Rossi, R., Ahmed, N., Koh, E. (Nov. 17, 2018)

IEEE International Conference on Data Mining (ICDM)

Predictive Analysis by Leveraging Temporal User Behavior

Chen, C., Kim, S., Bui, H., Rossi, R., Kveton, B., Koh, E., Bunescu, R. (Oct. 22, 2018)

CIKM'18

Attention Models in Graphs: A Survey

Lee, J., Rossi, R., Kim, S., Ahmed, N., Koh, E. (Jul. 20, 2018)

Transactions on Knowledge Discovery from Data (TKDD)

Learning Role-based Graph Embeddings

Ahmed, N., Rossi, R., Zhou, R., Lee, J., Kong, X., Willke, T., Eldardiry, H. (Jul. 13, 2018)

IJCAI StarAI

Higher-Order Network Representation Learning

Rossi, R., Ahmed, N., Koh, E. (Apr. 27, 2018)

Proceedings of the 27th International Conference Companion on World Wide Web (WWW)

Deep Inductive Network Representation Learning

Rossi, R., Zhou, R., Ahmed, N. (Apr. 27, 2018)

Proceedings of the 3rd International Workshop on Learning Representations for Big Networks (WWW BigNet)

Continuous-Time Dynamic Network Embeddings

Nguyen, G., Lee, J., Rossi, R., Ahmed, N., Koh, E., Kim, S. (Apr. 27, 2018)

Proceedings of the 3rd International Workshop on Learning Representations for Big Networks (WWW BigNet)

Relational Time Series Forecasting

Rossi, R., Rossi, R. (Mar. 1, 2018)

Knowledge Engineering Review (KER)

Deep Inductive Graph Representation Learning

Rossi, R., Zhou, R., Ahmed, N., Rossi, R. (Jan. 1, 2018)

IEEE Transactions on Knowledge and Data Engineering (TKDE)

Graph Classification using Structural Attention

Lee, J., Rossi, R., Kong, X. (Jan. 1, 2018)

KDD

Interactive Visual Graph Mining and Learning

Rossi, R., Ahmed, N., Eldardiry, H., Zhou, R. (Jan. 1, 2018)

ACM Transactions on Intelligent Systems and Technology

On Sampling from Massive Graph Streams

Ahmed, N., Duffield, N., Willke, T., Rossi, R. (Aug. 24, 2017)

VLDB