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

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes

Gallegos, I., Aponte, R., Rossi, R., Barrow, J., Tanjim, M., Yu, T., Deilamsalehy, H., Zhang, R., Kim, S., Dernoncourt, F., Lipka, N., Owens, D., Gu, J. (May. 4, 2025)

NAACL 2025

Demystifying the Power of Large Language Models in Graph Generation

Wang, Y., Rossi, R., Park, N., Ahmed, N., Koutra, D., Dernoncourt, F., Derr, T. (May. 4, 2025)

NAACL 2025 Findings

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions

Luera, R., Rossi, R., Dernoncourt, F., Siu, A., Kim, S., Yu, T., Zhang, R., Chen, X., Lipka, N., Zhang, Z., Kim, S., Lee, T. (May. 2, 2025)

WWW 2025

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering

In, Y., Kim, S., Rossi, R., Tanjim, M., Yu, T., Sinha, R., Park, C., Kim, K. (Apr. 29, 2025)

The North American Chapter of the Association for Computational Linguistics (NAACL)

A Large-scale Training Paradigm for Graph Generative Models

Wang, Y., Rossi, R., Park, N., Chen, H., Ahmed, N., Trivedi, P., Dernoncourt, F., Koutra, D., Derr, T. (Apr. 28, 2025)

ICLR 2025

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs

Parmar, M., Deilamsalehy, H., Dernoncourt, F., Yoon, D., Rossi, R., Bui, T. (Nov. 16, 2024)

EMNLP 2024

PDFTriage: Question Answering over Long, Structured Documents

Saad-Falcon, J., Barrow, J., Siu, A., Nenkova, A., Yoon, D., Rossi, R., Dernoncourt, F. (Nov. 16, 2024)

EMNLP 2024 Industry Track

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models

Van Nguyen, M., Dernoncourt, F., Yoon, D., Deilamsalehy, H., Tan, H., Rossi, R., Tran, Q., Bui, T., Nguyen, T. (Sep. 5, 2024)

Interspeech 2024

KaPQA: Knowledge-Augmented Product Question-Answering

Eppalapally, S., Dangi, D., Bhat, C., Gupta, A., Zhang, R., Bagga, K., Yoon, D., Lipka, N., Rossi, R., Dernoncourt, F. (Aug. 16, 2024)

ACL 2024 Workshop on Knowledge Augmented Methods for NLP

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention

Wu, J., Yu, T., Chen, X., Wang, H., Rossi, R., Kim, S., Rao, A., McAuley, J. (Aug. 11, 2024)

The Annual Meeting of the Association for Computational Linguistics (ACL)

Editing Partially Observable Networks via Graph Diffusion Models

Trivedi, P., Rossi, R., Arbour, D., Yu, T., Dernoncourt, F., Kim, S., Lipka, N., Park, N., Ahmed, N., Koutra, D. (Jul. 27, 2024)

ICML 2024

Continuous Treatment Effects with Surrogate Outcomes

Zeng, Z., Arbour, D., Feller, A., Addanki, R., Rossi, R., Sinha, R., Kennedy, E. (Jul. 1, 2024)

International Conference on Machine Learning (ICML)

Bias and Fairness in Large Language Models: A Survey

Gallegos, I., Rossi, R., Barrow, J., Tanjim, M., Kim, S., Dernoncourt, F., Yu, T., Zhang, R., Ahmed, N. (Jun. 11, 2024)

Computational Linguistics 2024

Interaction Techniques for Exploratory Data Visualization on Mobile Devices

Snyder, L., Rossi, R., Koh, E., Heer, J., Hoffswell, J. (May. 27, 2024)

EuroVis 2024 (short paper)

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

Nguyen, T., Nguyen, C., Lai, V., Man, H., Ngo, N., Dernoncourt, F., Rossi, R., Nguyen, T. (May. 25, 2024)

LREC-COLING 2024

ScaleViz: Scaling Visualization Recommendation Models on Large Data

Ahmad, G., Agarwal, S., Mitra, S., Rossi, R., Doshi, M., Paila, S. (May. 7, 2024)

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Evolving Super Graph Neural Networks for Large-scale Time-Series Forecasting

Chen, H., Rossi, R., Kim, S., Mahadik, K., Eldardiry, H. (Apr. 25, 2024)

Pacific-Asia Conference on Knowledge Discovery and Data Mining

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Zhuang, Y., Chen, X., Yu, T., Mitra, S., Bursztyn, V., Rossi, R., Sarkhel, S., Zhang, C. (Mar. 12, 2024)

ICLR 2024

Interpretable Unsupervised Log Anomaly Detection

Bang, J., Kim, S., Rossi, R., Yu, T., Zhao, H. (Dec. 15, 2023)

IEEE International Conference on Big Data (BigData)

PersonaSAGE: A Multi-Persona Graph Neural Network

Choudhary, G., Burhanuddin, I., Koh, E., Du, F., Rossi, R. (Dec. 15, 2023)

Big Data (BigData)

Active Context Modeling for Efficient Image and Burst Compression

Li, Y., Wu, G., Petrangeli, S., Wang, H., Rossi, R., Swaminathan, V. (Dec. 11, 2023)

IEEE International Symposium on Multimedia (ISM)

Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback

Lai, V., Nguyen, C., Ngo, N., Nguyen, T., Dernoncourt, F., Rossi, R., Nguyen, T. (Dec. 10, 2023)

EMNLP 2023 Demonstrations

TaleStream: Supporting Story Ideation with Trope Knowledge

Chou, J., Agrawala, M., Siu, A., Lipka, N., Rossi, R., Dernoncourt, F. (Nov. 1, 2023)

UIST 2023

Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback

Wu, G., Guo, S., Hoffswell, J., Chan, G., Rossi, R., Koh, E. (Oct. 23, 2023)

IEEE VIS 2023

Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization

Kim, H., Rossi, R., Hullman, J., Hoffswell, J. (Oct. 23, 2023)

IEEE VIS 2023

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint

Chopra, H., Sinha, A., Choudhary, S., Rossi, R., Indela, P., Parwatala, V., Paul, S., Maiti, A. (Oct. 21, 2023)

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM)

How Small Businesses Transform PDF Agreements into Action

So, J., Lipka, N., Siu, A., Rossi, R., Dernoncourt, F. (Oct. 18, 2023)

CSCW 2023 Posters

WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks

Chen, C., Hoffswell, J., Guo, S., Rossi, R., Chan, G., Du, F., Koh, E., Liu, L. (Oct. 3, 2023)

IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback

Xia, Y., Wu, J., Yu, T., Kim, S., Rossi, R., Li, S. (Aug. 4, 2023)

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making

Rony, M., Du, F., Rossi, R., Hoffswell, J., Chhaya, N., Burhanuddin, I., Koh, E. (Apr. 30, 2023)

ACM Web Conference (WebConf)

DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation

Narechania, A., Du, F., Sinha, A., Rossi, R., Hoffswell, J., Guo, S., Koh, E., Navathe, S., Endert, A. (Apr. 23, 2023)

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, April 2023

Task-Oriented Near-Lossless Burst Compression

Jiang, W., Wu, G., Swaminathan, V., Petrangeli, S., Wang, H., Rossi, R., Lipka, N. (Dec. 5, 2022)

IEEE International Symposium on Multimedia (ISM)

Let’s Get Personal: Exploring the Design of Personalized Visualizations

Bullock, B., Guo, S., Koh, E., Rossi, R., Du, F., Hoffswell, J. (Oct. 18, 2022)

IEEE VIS 2022 (short paper)

Cicero: A Declarative Grammar for Responsive Visualization

Kim, H., Rossi, R., Du, F., Koh, E., Guo, S., Hullman, J., Hoffswell, J. (May. 2, 2022)

ACM Human Factors in Computing Systems (CHI)

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking

Park, N., Rossi, R., Koh, E., Burhanuddin, I., Kim, S., Du, F., Ahmed, N., Faloutsos, C. (Apr. 25, 2022)

ACM Web Conference (WebConf)

A Framework for Knowledge-Derived Query Suggestions

Rezayi, S., Lipka, N., Vinay, V., Rossi, R., Dernoncourt, F., King, T., Li, S. (Dec. 17, 2021)

2021 IEEE International Conference on Big Data

Interactive Audience Expansion On Large Scale Online Visitor Data

Chan, G., Mai, T., Rao, A., Rossi, R., Du, F., Silva, C., Freire, J. (Aug. 14, 2021)

ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Structured Policy Iteration for Linear Quadratic Regulator

Park, Y., Rossi, R., Wen, Z., Wu, G., Zhao, H. (Jul. 31, 2020)

International Conference on Machine Learning (ICML)

Ensemble Learning for Relational Data

Eldardiry, H., Neville, J., Rossi, R. (Jul. 23, 2020)

Journal of Machine Learning Research (JMLR)

On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications

Rossi, R., Jin, D., Kim, S., Ahmed, N., Koutra, D., Lee, J., Rossi, R. (Jun. 1, 2020)

Transactions on Knowledge Discovery from Data (TKDD)

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)

Graph Classification using Structural Attention

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

KDD

Deep Inductive Graph Representation Learning

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

IEEE Transactions on Knowledge and Data Engineering (TKDE)

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