Realities associated with parallel processing. - Daniel E. Platt; Ryan A. Rossi; J. W. Wells; J. Becker (SC, 1989)

Crick's Hypothesis Revisited: The Existence of a Universal Coding Frame. - Jean-Louis Lassez; Ryan A. Rossi; Axel E. Bernal (AINA Workshops (1), 2007)

Client-side dynamic metadata in web 2.0. - John W. Stamey; Jean-Louis Lassez; Daniel Boorn; Ryan A. Rossi (SIGDOC, 2007)

Ranking Links on the Web: Search and Surf Engines. - Jean-Louis Lassez; Ryan A. Rossi; Kumar Jeev (IEA/AIE, 2008)

Signature based intrusion detection using latent semantic analysis. - Jean-Louis Lassez; Ryan A. Rossi; Stephen J. Sheel; Srinivas Mukkamala (IJCNN, 2008)

Automatically identifying relations in privacy policies. - John W. Stamey; Ryan A. Rossi (SIGDOC, 2009)

Polyphony: A Workflow Orchestration Framework for Cloud Computing. - Khawaja S. Shams; Mark W. Powell; Thomas M. Crockett; Jeffrey S. Norris; Ryan A. Rossi; Tom Söderström (CCGRID, 2010)

Modeling the evolution of discussion topics and communication to improve relational classification. - Ryan A. Rossi; Jennifer Neville (SOMA@KDD, 2010)

Representations and Ensemble Methods for Dynamic Relational Classification - Ryan A. Rossi; Jennifer Neville (CoRR, 2011)

Time-Evolving Relational Classification and Ensemble Methods. - Ryan A. Rossi; Jennifer Neville (PAKDD (1), 2012)

Dynamic PageRank Using Evolving Teleportation. - Ryan A. Rossi; David F. Gleich (WAW, 2012)

Role-dynamics: fast mining of large dynamic networks. - Ryan A. Rossi; Brian Gallagher; Jennifer Neville; Keith Henderson (WWW (Companion Volume), 2012)

Transforming Graph Representations for Statistical Relational Learning - Ryan A. Rossi; Luke K. McDowell; David W. Aha; Jennifer Neville (CoRR, 2012)

Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks - Ryan A. Rossi; Brian Gallagher; Jennifer Neville; Keith Henderson (CoRR, 2012)

What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks - Ryan A. Rossi; David F. Gleich; Assefaw Hadish Gebremedhin; Md. Mostofa Ali Patwary (CoRR, 2012)

Transforming Graph Data for Statistical Relational Learning. - Ryan A. Rossi; Luke K. McDowell; David William Aha; Jennifer Neville (J. Artif. Intell. Res., 2012)

A multi-level approach for evaluating internet topology generators. - Ryan A. Rossi; Sonia Fahmy; Nilothpal Talukder (Networking, 2013)

Modeling dynamic behavior in large evolving graphs. - Ryan A. Rossi; Brian Gallagher; Jennifer Neville; Keith Henderson (WSDM, 2013)

A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components - Ryan A. Rossi; David F. Gleich; Assefaw Hadish Gebremedhin; Md. Mostofa Ali Patwary (CoRR, 2013)

Fast Triangle Core Decomposition for Mining Large Graphs. - Ryan A. Rossi (PAKDD (1), 2014)

Fast maximum clique algorithms for large graphs. - Ryan A. Rossi; David F. Gleich; Assefaw Hadish Gebremedhin; Md. Mostofa Ali Patwary (WWW (Companion Volume), 2014)

NetworkRepository: A Graph Data Repository with Visual Interactive Analytics. - Ryan A. Rossi; Nesreen K. Ahmed (CoRR, 2014)

A Dynamical System for PageRank with Time-Dependent Teleportation. - David F. Gleich; Ryan A. Rossi (Internet Math., 2014)

Coloring large complex networks. - Ryan A. Rossi; Nesreen K. Ahmed (Soc. Netw. Anal. Min., 2014)

The Network Data Repository with Interactive Graph Analytics and Visualization. - Ryan A. Rossi; Nesreen K. Ahmed (AAAI, 2015)

Scalable relational learning for large heterogeneous networks. - Ryan A. Rossi; Rong Zhou 001 (DSAA, 2015)

Efficient Graphlet Counting for Large Networks. - Nesreen K. Ahmed; Jennifer Neville; Ryan A. Rossi; Nick G. Duffield (ICDM, 2015)

Interactive Visual Graph Analytics on the Web. - Nesreen Kamel Ahmed; Ryan Anthony Rossi (ICWSM, 2015)

Fast Parallel Graphlet Counting for Large Networks. - Nesreen K. Ahmed; Jennifer Neville; Ryan A. Rossi; Nick G. Duffield (CoRR, 2015)

A Web-based Interactive Visual Graph Analytics Platform. - Nesreen K. Ahmed; Ryan A. Rossi (CoRR, 2015)

Parallel Maximum Clique Algorithms with Applications to Network Analysis. - Ryan A. Rossi; David F. Gleich; Assefaw Hadish Gebremedhin (SIAM J. Sci. Comput., 2015)

An Interactive Data Repository with Visual Analytics. - Ryan A. Rossi; Nesreen K. Ahmed (SIGKDD Explor., 2015)

Role Discovery in Networks. - Ryan A. Rossi; Nesreen K. Ahmed (IEEE Trans. Knowl. Data Eng., 2015)

Toward Interactive Relational Learning. - Ryan A. Rossi; Rong Zhou 001 (AAAI, 2016)

Estimation of local subgraph counts. - Nesreen K. Ahmed; Theodore L. Willke; Ryan A. Rossi (IEEE BigData, 2016)

Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks. - Ryan A. Rossi; Rong Zhou 001 (CIKM, 2016)

Exact and Estimation of Local Edge-centric Graphlet Counts. - Nesreen K. Ahmed; Theodore L. Willke; Ryan A. Rossi (BigMine, 2016)

Revisiting Role Discovery in Networks: From Node to Edge Roles. - Nesreen K. Ahmed; Ryan A. Rossi; Theodore L. Willke; Rong Zhou 001 (CoRR, 2016)

Hybrid CPU-GPU Framework for Network Motifs. - Ryan A. Rossi; Rong Zhou 001 (CoRR, 2016)

Relational Similarity Machines. - Ryan A. Rossi; Rong Zhou 001; Nesreen K. Ahmed (CoRR, 2016)

Parallel collective factorization for modeling large heterogeneous networks. - Ryan A. Rossi; Rong Zhou 001 (Soc. Netw. Anal. Min., 2016)

A Higher-Order Latent Space Network Model. - Nesreen K. Ahmed; Ryan A. Rossi; Theodore L. Willke; Rong Zhou 001 (AAAI Workshops, 2017)

Edge Role Discovery via Higher-Order Structures. - Nesreen K. Ahmed; Ryan A. Rossi; Theodore L. Willke; Rong Zhou 001 (PAKDD (1), 2017)

Estimation of Graphlet Statistics. - Ryan A. Rossi; Rong Zhou 001; Nesreen K. Ahmed (CoRR, 2017)

Deep Feature Learning for Graphs. - Ryan A. Rossi; Rong Zhou 001; Nesreen K. Ahmed (CoRR, 2017)

Network Classification and Categorization. - James P. Canning; Emma E. Ingram; Sammantha Nowak-Wolff; Adriana M. Ortiz; Nesreen K. Ahmed; Ryan A. Rossi; Karl Robert Bruce Schmitt; Sucheta Soundarajan (CoRR, 2017)

A Framework for Generalizing Graph-based Representation Learning Methods. - Nesreen K. Ahmed; Ryan A. Rossi; Rong Zhou 001; John Boaz Lee; Xiangnan Kong; Theodore L. Willke; Hoda Eldardiry (CoRR, 2017)

Deep Graph Attention Model. - John Boaz Lee; Ryan A. Rossi; Xiangnan Kong (CoRR, 2017)

Representation Learning in Large Attributed Graphs. - Nesreen K. Ahmed; Ryan A. Rossi; Rong Zhou 001; John Boaz Lee; Xiangnan Kong; Theodore L. Willke; Hoda Eldardiry (CoRR, 2017)

Graphlet decomposition: framework, algorithms, and applications. - Nesreen K. Ahmed; Jennifer Neville; Ryan A. Rossi; Nick G. Duffield; Theodore L. Willke (Knowl. Inf. Syst., 2017)

On Sampling from Massive Graph Streams. - Nesreen K. Ahmed; Nick G. Duffield; Theodore L. Willke; Ryan A. Rossi (Proc. VLDB Endow., 2017)

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks. - Giang Hoang Nguyen; John Boaz Lee; Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (IEEE BigData, 2018)

Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs. - Ryan A. Rossi; Rong Zhou 001; Nesreen K. Ahmed; Hoda Eldardiry (IEEE BigData, 2018)

Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. - Charles Chen; Sungchul Kim; Hung Bui; Ryan A. Rossi; Eunyee Koh; Branislav Kveton; Razvan C. Bunescu (CIKM, 2018)

Interactive Higher-Order Network Analysis. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh (ICDM Workshops, 2018)

Similarity-based Multi-label Learning. - Ryan A. Rossi; Nesreen K. Ahmed; Hoda Eldardiry; Rong Zhou 001 (IJCNN, 2018)

Graph Classification using Structural Attention. - John Boaz Lee; Ryan A. Rossi; Xiangnan Kong (KDD, 2018)

Continuous-Time Dynamic Network Embeddings. - Giang Hoang Nguyen; John Boaz Lee; Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (WWW (Companion Volume), 2018)

Higher-order Network Representation Learning. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh (WWW (Companion Volume), 2018)

Deep Inductive Network Representation Learning. - Ryan A. Rossi; Rong Zhou 001; Nesreen K. Ahmed (WWW (Companion Volume), 2018)

HONE: Higher-Order Network Embeddings. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh (CoRR, 2018)

Learning Role-based Graph Embeddings. - Nesreen K. Ahmed; Ryan A. Rossi; John Boaz Lee; Xiangnan Kong; Theodore L. Willke; Rong Zhou 001; Hoda Eldardiry (CoRR, 2018)

Higher-order Graph Convolutional Networks. - John Boaz Lee; Ryan A. Rossi; Xiangnan Kong; Sungchul Kim; Eunyee Koh; Anup Rao 002 (CoRR, 2018)

Higher-order Spectral Clustering for Heterogeneous Graphs. - Aldo G. Carranza; Ryan A. Rossi; Anup Rao 002; Eunyee Koh (CoRR, 2018)

Bridging Network Embedding and Graph Summarization. - Di Jin 003; Ryan A. Rossi; Danai Koutra; Eunyee Koh; Sungchul Kim; Anup Rao 002 (CoRR, 2018)

GraphZIP: a clique-based sparse graph compression method. - Ryan A. Rossi; Rong Zhou 001 (J. Big Data, 2018)

Relational time series forecasting. - Ryan A. Rossi (Knowl. Eng. Rev., 2018)

Interactive Visual Graph Mining and Learning. - Ryan A. Rossi; Nesreen K. Ahmed; Rong Zhou 001; Hoda Eldardiry (ACM Trans. Intell. Syst. Technol., 2018)

Graph Convolutional Networks with Motif-based Attention. - John Boaz Lee; Ryan A. Rossi; Xiangnan Kong; Sungchul Kim; Eunyee Koh; Anup Rao 002 (CIKM, 2019)

Linear Quadratic Regulator for Resource-Efficient Cloud Services. - Youngsuk Park; Kanak Mahadik; Ryan A. Rossi; Gang Wu 013; Handong Zhao (SoCC, 2019)

Neural caption generation over figures. - Charles Chen; Ruiyi Zhang 002; Sungchul Kim; Scott Cohen; Tong Yu 001; Ryan A. Rossi; Razvan C. Bunescu (UbiComp/ISWC Adjunct, 2019)

Latent Network Summarization: Bridging Network Embedding and Summarization. - Di Jin 003; Ryan A. Rossi; Eunyee Koh; Sungchul Kim; Anup Rao 002; Danai Koutra (KDD, 2019)

node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching. - Di Jin 003; Mark Heimann; Ryan A. Rossi; Danai Koutra (ECML/PKDD (1), 2019)

On Densification for Minwise Hashing. - Tung Mai; Anup Rao 002; Matt Kapilevich; Ryan A. Rossi; Yasin Abbasi-Yadkori; Ritwik Sinha (UAI, 2019)

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. - Donghyun Kim 007; Sungchul Kim; Handong Zhao; Sheng Li 001; Ryan A. Rossi; Eunyee Koh (WSDM, 2019)

Secure Two-Party Feature Selection. - Vanishree Rao; Yunhui Long; Hoda Eldardiry; Shantanu Rane; Ryan A. Rossi; Frank Torres (CoRR, 2019)

Heterogeneous Network Motifs. - Ryan A. Rossi; Nesreen K. Ahmed; Aldo G. Carranza; David Arbour; Anup Rao 002; Sungchul Kim; Eunyee Koh (CoRR, 2019)

Temporal Network Representation Learning. - John Boaz Lee; Giang Hoang Nguyen; Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (CoRR, 2019)

Figure Captioning with Reasoning and Sequence-Level Training. - Charles Chen; Ruiyi Zhang 002; Eunyee Koh; Sungchul Kim; Scott Cohen; Tong Yu 001; Ryan A. Rossi; Razvan C. Bunescu (CoRR, 2019)

Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. - Ryan A. Rossi; Anup Rao 002; Sungchul Kim; Eunyee Koh; Nesreen K. Ahmed; Gang Wu 013 (CoRR, 2019)

Linear-time Hierarchical Community Detection. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (CoRR, 2019)

From Community to Role-based Graph Embeddings. - Ryan A. Rossi; Di Jin 003; Sungchul Kim; Nesreen K. Ahmed; Danai Koutra; John Boaz Lee (CoRR, 2019)

Temporal Network Sampling. - Nesreen K. Ahmed; Nick Duffield; Ryan A. Rossi (CoRR, 2019)

Complex networks are structurally distinguishable by domain. - Ryan A. Rossi; Nesreen K. Ahmed (Soc. Netw. Anal. Min., 2019)

Attention Models in Graphs: A Survey. - John Boaz Lee; Ryan A. Rossi; Sungchul Kim; Nesreen K. Ahmed; Eunyee Koh (ACM Trans. Knowl. Discov. Data, 2019)

Estimation of Graphlet Counts in Massive Networks. - Ryan A. Rossi; Rong Zhou 001; Nesreen K. Ahmed (IEEE Trans. Neural Networks Learn. Syst., 2019)

Structured Policy Iteration for Linear Quadratic Regulator. - Youngsuk Park; Ryan A. Rossi; Zheng Wen; Gang Wu 013; Handong Zhao (ICML, 2020)

Higher-order Clustering in Complex Heterogeneous Networks. - Aldo G. Carranza; Ryan A. Rossi; Anup Rao 002; Eunyee Koh (KDD, 2020)

Approximate Maximum Matching in Random Streams. - Alireza Farhadi 001; Mohammad Taghi Hajiaghayi; Tung Mai; Anup Rao 002; Ryan A. Rossi (SODA, 2020)

Figure Captioning with Relation Maps for Reasoning. - Charles Chen; Ruiyi Zhang 002; Eunyee Koh; Sungchul Kim; Scott Cohen; Ryan A. Rossi (WACV, 2020)

A Structural Graph Representation Learning Framework. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim; Anup Rao 002; Yasin Abbasi-Yadkori (WSDM, 2020)

Real-Time Clustering for Large Sparse Online Visitor Data. - Gromit Yeuk-Yin Chan; Fan Du; Ryan A. Rossi; Anup B. Rao; Eunyee Koh; Cláudio T. Silva; Juliana Freire (WWW, 2020)

Fast Hierarchical Graph Clustering in Linear-Time. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (WWW (Companion Volume), 2020)

From Closing Triangles to Closing Higher-Order Motifs. - Ryan A. Rossi; Anup Rao 002; Sungchul Kim; Eunyee Koh; Nesreen K. Ahmed (WWW (Companion Volume), 2020)

Fast and Accurate Estimation of Typed Graphlets. - Ryan A. Rossi; Anup Rao 002; Tung Mai; Nesreen K. Ahmed (WWW (Companion Volume), 2020)

Inferring Individual Level Causal Models from Graph-based Relational Time Series. - Ryan A. Rossi; Somdeb Sarkhel; Nesreen K. Ahmed (CoRR, 2020)

From Static to Dynamic Node Embeddings. - Di Jin 003; Sungchul Kim; Ryan A. Rossi; Danai Koutra (CoRR, 2020)

Automating Outlier Detection via Meta-Learning. - Yue Zhao 016; Ryan A. Rossi; Leman Akoglu (CoRR, 2020)

ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data. - Xin Qian; Ryan A. Rossi; Fan Du; Sungchul Kim; Eunyee Koh; Sana Malik; Tak Yeon Lee; Joel Chan (CoRR, 2020)

A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Hoda Eldardiry (CoRR, 2020)

Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction. - Chenhan Yuan; Ryan A. Rossi; Andrew Katz; Hoda Eldardiry (CoRR, 2020)

Graph Deep Factors for Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (CoRR, 2020)

Learning Contextualized Knowledge Structures for Commonsense Reasoning. - Jun Yan 012; Mrigank Raman; Tianyu Zhang; Ryan A. Rossi; Handong Zhao; Sungchul Kim; Nedim Lipka; Xiang Ren 001 (CoRR, 2020)

Ensemble Learning for Relational Data. - Hoda Eldardiry; Jennifer Neville; Ryan A. Rossi (J. Mach. Learn. Res., 2020)

Correction to: Complex networks are structurally distinguishable by domain. - Ryan A. Rossi; Nesreen K. Ahmed (Soc. Netw. Anal. Min., 2020)

On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications. - Ryan A. Rossi; Di Jin 003; Sungchul Kim; Nesreen K. Ahmed; Danai Koutra; John Boaz Lee (ACM Trans. Knowl. Discov. Data, 2020)

Deep Inductive Graph Representation Learning. - Ryan A. Rossi; Rong Zhou 001; Nesreen K. Ahmed (IEEE Trans. Knowl. Data Eng., 2020)

Graph Neural Networks with Heterophily. - Jiong Zhu; Ryan A. Rossi; Anup Rao 002; Tung Mai; Nedim Lipka; Nesreen K. Ahmed; Danai Koutra (AAAI, 2021)

Learning Contextualized Knowledge Structures for Commonsense Reasoning. - Jun Yan 012; Mrigank Raman; Aaron Chan; Tianyu Zhang; Ryan A. Rossi; Handong Zhao; Sungchul Kim; Nedim Lipka; Xiang Ren 001 (ACL/IJCNLP (Findings), 2021)

Context Integrated Relational Spatio-Temporal Resource Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Hoda Eldardiry (IEEE BigData, 2021)

A Framework for Knowledge-Derived Query Suggestions. - Saed Rezayi; Nedim Lipka; Vishwa Vinay; Ryan A. Rossi; Franck Dernoncourt; Tracy Holloway King; Sheng Li 001 (IEEE BigData, 2021)

Influence-guided Data Augmentation for Neural Tensor Completion. - Sejoon Oh; Sungchul Kim; Ryan A. Rossi; Srijan Kumar (CIKM, 2021)

From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. - Ryan A. Rossi; Anup B. Rao; Sungchul Kim; Eunyee Koh; Nesreen K. Ahmed; Gang Wu 013 (CIKM, 2021)

Machine Unlearning via Algorithmic Stability. - Enayat Ullah; Tung Mai; Anup Rao 002; Ryan A. Rossi; Raman Arora (COLT, 2021)

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. - Mrigank Raman; Aaron Chan; Siddhant Agarwal; Peifeng Wang; Hansen Wang; Sungchul Kim; Ryan A. Rossi; Handong Zhao; Nedim Lipka; Xiang Ren 001 (ICLR, 2021)

Fundamental Tradeoffs in Distributionally Adversarial Training. - Mohammad Mehrabi; Adel Javanmard; Ryan A. Rossi; Anup B. Rao; Tung Mai (ICML, 2021)

Asymptotics of Ridge Regression in Convolutional Models. - Mojtaba Sahraee-Ardakan; Tung Mai; Anup B. Rao; Ryan A. Rossi; Sundeep Rangan; Alyson K. Fletcher (ICML, 2021)

Open-Domain Trending Hashtag Recommendation for Videos. - Swapneel Mehta; Somdeb Sarkhel; Xiang Chen; Saayan Mitra; Viswanathan Swaminathan 001; Ryan A. Rossi; Ali Aminian; Han Guo; Kshitiz Garg (ISM, 2021)

Interactive Audience Expansion On Large Scale Online Visitor Data. - Gromit Yeuk-Yin Chan; Tung Mai; Anup B. Rao; Ryan A. Rossi; Fan Du; Cláudio T. Silva; Juliana Freire (KDD, 2021)

Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (KDD, 2021)

Learning to Recommend Visualizations from Data. - Xin Qian; Ryan A. Rossi; Fan Du; Sungchul Kim; Eunyee Koh; Sana Malik; Tak Yeon Lee; Joel Chan (KDD, 2021)

EXACTA: Explainable Column Annotation. - Yikun Xian; Handong Zhao; Tak Yeon Lee; Sungchul Kim; Ryan A. Rossi; Zuohui Fu; Gerard de Melo; S. Muthukrishnan 001 (KDD, 2021)

Edge: Enriching Knowledge Graph Embeddings with External Text. - Saed Rezayi; Handong Zhao; Sungchul Kim; Ryan A. Rossi; Nedim Lipka; Sheng Li 001 (NAACL-HLT, 2021)

Automatic Unsupervised Outlier Model Selection. - Yue Zhao 016; Ryan A. Rossi; Leman Akoglu (NeurIPS, 2021)

Provable Distributed Stochastic Gradient Descent with Delayed Updates. - Hongchang Gao; Gang Wu 013; Ryan A. Rossi (SDM, 2021)

Generating Accurate Caption Units for Figure Captioning. - Xin Qian; Eunyee Koh; Fan Du; Sungchul Kim; Joel Chan; Ryan A. Rossi; Sana Malik; Tak Yeon Lee (WWW, 2021)

Insight-centric Visualization Recommendation. - Camille Harris; Ryan A. Rossi; Sana Malik; Jane Hoffswell; Fan Du; Tak Yeon Lee; Eunyee Koh; Handong Zhao (CoRR, 2021)

Optimal Space and Time for Streaming Pattern Matching. - Tung Mai; Anup B. Rao; Ryan A. Rossi; Saeed Seddighin (CoRR, 2021)

An Interpretable Graph Generative Model with Heterophily. - Sudhanshu Chanpuriya; Ryan A. Rossi; Anup B. Rao; Tung Mai; Nedim Lipka; Zhao Song 002; Cameron Musco (CoRR, 2021)

Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. - Aravind Reddy; Ryan A. Rossi; Zhao Song 002; Anup B. Rao; Tung Mai; Nedim Lipka; Gang Wu 013; Eunyee Koh; Nesreen K. Ahmed (CoRR, 2021)

Dynamic Node Embeddings From Edge Streams. - John Boaz Lee; Giang Nguyen; Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Online Sampling of Temporal Networks. - Nesreen K. Ahmed; Nick Duffield; Ryan A. Rossi (ACM Trans. Knowl. Discov. Data, 2021)

Heterogeneous Graphlets. - Ryan A. Rossi; Nesreen K. Ahmed; Aldo G. Carranza; David Arbour; Anup B. Rao; Sungchul Kim; Eunyee Koh (ACM Trans. Knowl. Discov. Data, 2021)

Clustering-based Unsupervised Generative Relation Extraction. - Chenhan Yuan; Ryan A. Rossi; Andrew Katz; Hoda Eldardiry (IEEE Big Data, 2022)

Cicero: A Declarative Grammar for Responsive Visualization. - Hyeok Kim; Ryan A. Rossi; Fan Du; Eunyee Koh; Shunan Guo; Jessica Hullman; Jane Hoffswell (CHI, 2022)

AutoForecast: Automatic Time-Series Forecasting Model Selection. - Mustafa Abdallah; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Handong Zhao; Saurabh Bagchi (CIKM, 2022)

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. - Duc Hoang; Haotao Wang; Handong Zhao; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Zhangyang Wang (CIKM, 2022)

Implicit Session Contexts for Next-Item Recommendations. - Sejoon Oh; Ankur Bhardwaj; Jongseok Han; Sungchul Kim; Ryan A. Rossi; Srijan Kumar (CIKM, 2022)

Network Report: A Structured Description for Network Datasets. - Xinyi Zheng; Ryan A. Rossi; Nesreen K. Ahmed; Dominik Moritz (CIKM, 2022)

Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. - Gaurav Verma; Vishwa Vinay; Ryan A. Rossi; Srijan Kumar (EMNLP, 2022)

Understanding Business Analysts' Needs for Data Report Authoring. - Zhuohao Zhang; Sana Malik; Shunan Guo; Jane Hoffswell; Ryan A. Rossi; Fan Du; Eunyee Koh (EuroVA@EuroVis, 2022)

CODAS: Integrating Business Analytics and Report Authoring. - Zhuohao Zhang; Sana Malik; Shunan Guo; Jane Hoffswell; Ryan A. Rossi; Fan Du; Eunyee Koh (EuroVA@EuroVis, 2022)

One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. - Aravind Reddy; Ryan A. Rossi; Zhao Song 002; Anup B. Rao; Tung Mai; Nedim Lipka; Gang Wu 013; Eunyee Koh; Nesreen K. Ahmed (ICML, 2022)

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. - Galen Weld; Peter West; Maria Glenski; David Arbour; Ryan A. Rossi; Tim Althoff (ICWSM, 2022)

Task-Oriented Near-Lossless Burst Compression. - Weixin Jiang; Gang Wu 013; Viswanathan Swaminathan 001; Stefano Petrangeli; Haoliang Wang; Ryan A. Rossi; Nedim Lipka (ISM, 2022)

External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. - Can Qin; Sungchul Kim; Handong Zhao; Tong Yu 001; Ryan A. Rossi; Yun Fu 001 (KDD, 2022)

Neural Point Process for Learning Spatiotemporal Event Dynamics. - Zihao Zhou; Xingyi Yang; Ryan A. Rossi; Handong Zhao; Rose Yu (L4DC, 2022)

CyCLIP: Cyclic Contrastive Language-Image Pretraining. - Shashank Goel; Hritik Bansal; Sumit Bhatia; Ryan A. Rossi; Vishwa Vinay; Aditya Grover (NeurIPS, 2022)

iMarker: Instant and True-to-scale AR with Invisible Markers. - Chang Xiao; Ryan A. Rossi; Eunyee Koh (UIST (Adjunct Volume), 2022)

Let's Get Personal: Exploring the Design of Personalized Visualizations. - Beleicia Bullock; Shunan Guo; Eunyee Koh; Ryan A. Rossi; Fan Du; Jane Hoffswell (IEEE VIS (Short Papers), 2022)

ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization. - Bingjie Xu; Shunan Guo; Eunyee Koh; Jane Hoffswell; Ryan A. Rossi; Fan Du (IEEE VIS (Short Papers), 2022)

On Generalizing Static Node Embedding to Dynamic Settings. - Di Jin 003; Sungchul Kim; Ryan A. Rossi; Danai Koutra (WSDM, 2022)

VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. - Fayokemi Ojo; Ryan A. Rossi; Jane Hoffswell; Shunan Guo; Fan Du; Sungchul Kim; Chang Xiao; Eunyee Koh (WWW, 2022)

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. - Namyong Park; Ryan A. Rossi; Eunyee Koh; Iftikhar Ahamath Burhanuddin; Sungchul Kim; Fan Du; Nesreen K. Ahmed; Christos Faloutsos (WWW, 2022)

CGC: Contrastive Graph Clustering for Community Detection and Tracking. - Namyong Park; Ryan A. Rossi; Eunyee Koh; Iftikhar Ahamath Burhanuddin; Sungchul Kim; Fan Du; Nesreen K. Ahmed; Christos Faloutsos (CoRR, 2022)

AutoGML: Fast Automatic Model Selection for Graph Machine Learning. - Namyong Park; Ryan A. Rossi; Nesreen K. Ahmed; Christos Faloutsos (CoRR, 2022)

Graph Learning with Localized Neighborhood Fairness. - April Chen; Ryan A. Rossi; Nedim Lipka; Jane Hoffswell; Gromit Chan; Shunan Guo; Eunyee Koh; Sungchul Kim; Nesreen K. Ahmed (CoRR, 2022)

A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Jane Hoffswell; Nedim Lipka; Chang Xiao; Gromit Chan; Eunyee Koh; Nesreen K. Ahmed (CoRR, 2022)

Role-Based Graph Embeddings. - Nesreen K. Ahmed; Ryan A. Rossi; John Boaz Lee; Theodore L. Willke; Rong Zhou 001; Xiangnan Kong; Hoda Eldardiry (IEEE Trans. Knowl. Data Eng., 2022)

An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. - Hyeok Kim; Ryan A. Rossi; Abhraneel Sarma; Dominik Moritz; Jessica Hullman (IEEE Trans. Vis. Comput. Graph., 2022)

Personalized Visualization Recommendation. - Xin Qian; Ryan A. Rossi; Fan Du; Sungchul Kim; Eunyee Koh; Sana Malik; Tak Yeon Lee; Nesreen K. Ahmed (ACM Trans. Web, 2022)

Interpretable Unsupervised Log Anomaly Detection. - Jaeho Bang; Sungchul Kim; Ryan A. Rossi; Tong Yu 001; Handong Zhao (IEEE Big Data, 2023)

Hypergraph Neural Networks for Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (IEEE Big Data, 2023)

PersonaSAGE: A Multi-Persona Graph Neural Network. - Gautam Choudhary; Iftikhar Ahamath Burhanuddin; Eunyee Koh; Fan Du; Ryan A. Rossi (IEEE Big Data, 2023)

Near Neighbor Search for Constraint Queries. - Gaurav Gupta; Anup B. Rao; Tung Mai; Ryan A. Rossi; Xiang Chen; Saayan Mitra; Anshumali Shrivastava (IEEE Big Data, 2023)

Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types. - Camille Harris; Ryan A. Rossi; Sana Malik; Jane Hoffswell; Fan Du; Tak Yeon Lee; Eunyee Koh; Handong Zhao (IEEE Big Data, 2023)

Multi-Item Continuous Influence Maximization. - Jianjun Luo; Ryan A. Rossi; Xiangnan Kong; Yanhua Li (IEEE Big Data, 2023)

DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. - Arpit Narechania; Surya Chakraborty; Shivam Agarwal; Atanu R. Sinha; Ryan A. Rossi; Fan Du; Jane Hoffswell; Shunan Guo; Eunyee Koh; Alex Endert; Shamkant B. Navathe (IEEE Big Data, 2023)

Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. - Ryan A. Rossi; Somdeb Sarkhel; Nesreen K. Ahmed (IEEE Big Data, 2023)

On Chatbots for Visual Exploratory Data Analysis. - Brodrick Stigall; Ryan A. Rossi; Jane Hoffswell; Xiang Chen; Shunan Guo; Fan Du; Eunyee Koh; Kelly Caine (IEEE Big Data, 2023)

Discovery and Matching Numerical Attributes in Data Lakes. - Pattara Sukprasert; Gromit Yeuk-Yin Chan; Ryan A. Rossi; Fan Du; Eunyee Koh (IEEE Big Data, 2023)

Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation. - Alex Tang; Gromit Chan; Ryan A. Rossi; Chang Xiao; Eunyee Koh (IEEE Big Data, 2023)

Improving Learning-based Camera Pose Estimation for Image-based Augmented Reality Applications. - Enyu Cai; Ryan A. Rossi; Chang Xiao (CHI Extended Abstracts, 2023)

DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. - Arpit Narechania; Fan Du; Atanu R. Sinha; Ryan A. Rossi; Jane Hoffswell; Shunan Guo; Eunyee Koh; Shamkant B. Navathe; Alex Endert (CHI, 2023)

De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation. - Xinyu Shi; Ziqi Zhou 003; Jing Wen Zhang; Ali Neshati; Anjul Kumar Tyagi; Ryan A. Rossi; Shunan Guo; Fan Du; Jian Zhao 010 (CHI, 2023)

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint. - Harshita Chopra; Atanu R. Sinha; Sunav Choudhary; Ryan A. Rossi; Paavan Kumar Indela; Veda Pranav Parwatala; Srinjayee Paul; Aurghya Maiti (CIKM, 2023)

How Small Businesses Transform PDF Agreements into Action. - Jianna So; Nedim Lipka; Alexa F. Siu; Ryan A. Rossi; Franck Dernoncourt (CSCW Companion, 2023)

GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. - Ting-Yao Hsu; Chieh-Yang Huang; Ryan A. Rossi; Sungchul Kim; C. Lee Giles; Ting-Hao Kenneth Huang (EMNLP (Findings), 2023)

Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback. - Viet Dac Lai; Chien Van Nguyen; Nghia Trung Ngo; Thuat Nguyen; Franck Dernoncourt; Ryan A. Rossi; Thien Huu Nguyen (EMNLP (Demos), 2023)

Learning the Visualness of Text Using Large Vision-Language Models. - Gaurav Verma; Ryan A. Rossi; Christopher Tensmeyer; Jiuxiang Gu; Ani Nenkova (EMNLP, 2023)

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. - Sudhanshu Chanpuriya; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Jane Hoffswell; Nedim Lipka; Shunan Guo; Cameron Musco (ICLR, 2023)

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. - Namyong Park; Ryan A. Rossi; Nesreen K. Ahmed; Christos Faloutsos (ICLR, 2023)

A Model-free Closeness-of-influence Test for Features in Supervised Learning. - Mohammad Mehrabi; Ryan A. Rossi (ICML, 2023)

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. - Chieh-Yang Huang; Ting-Yao Hsu; Ryan A. Rossi; Ani Nenkova; Sungchul Kim; Gromit Yeuk-Yin Chan; Eunyee Koh; C. Lee Giles; Ting-Hao (Kenneth) Huang (INLG, 2023)

Active Context Modeling for Efficient Image and Burst Compression. - Yang Li; Gang Wu 013; Stefano Petrangeli; Haoliang Wang; Ryan A. Rossi; Viswanathan Swaminathan 001 (ISM, 2023)

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. - Yu Xia 007; Junda Wu; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Shuai Li 010 (KDD, 2023)

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings. - Sudhanshu Chanpuriya; Ryan A. Rossi; Anup B. Rao; Tung Mai; Nedim Lipka; Zhao Song 002; Cameron Musco (NeurIPS, 2023)

Causal Discovery in Semi-Stationary Time Series. - Shanyun Gao; Raghavendra Addanki; Tong Yu 001; Ryan A. Rossi; Murat Kocaoglu (NeurIPS, 2023)

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. - Namyong Park; Ryan A. Rossi; Xing Wang; Antoine Simoulin; Nesreen K. Ahmed; Christos Faloutsos (NeurIPS, 2023)

TaleStream: Supporting Story Ideation with Trope Knowledge. - Jean-Peïc Chou; Alexa Fay Siu; Nedim Lipka; Ryan A. Rossi; Franck Dernoncourt; Maneesh Agrawala (UIST, 2023)

WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks. - Chen Chen 080; Jane Hoffswell; Shunan Guo; Ryan A. Rossi; Yeuk-Yin Chan; Fan Du; Eunyee Koh; Zhicheng Liu 001 (VL/HCC, 2023)

A ML-based Approach for HTML-based Style Recommendation. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Jane Hoffswell; Nedim Lipka; Chang Xiao; Gromit Yeuk-Yin Chan; Eunyee Koh; Nesreen K. Ahmed (WWW (Companion Volume), 2023)

SpotLight: Visual Insight Recommendation. - Camille Harris; Ryan A. Rossi; Sana Malik; Jane Hoffswell; Fan Du; Tak Yeon Lee; Eunyee Koh; Handong Zhao (WWW (Companion Volume), 2023)

Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making. - Md Main Uddin Rony; Fan Du; Ryan A. Rossi; Jane Hoffswell; Niyati Chhaya; Iftikhar Ahamath Burhanuddin; Eunyee Koh (WWW (Companion Volume), 2023)

On Graph Time-Series Representations for Temporal Networks. - Ryan A. Rossi; Nesreen K. Ahmed; Namyong Park (WWW (Companion Volume), 2023)

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. - Ashish Singh; Prateek Agarwal; Zixuan Huang; Arpita Singh; Tong Yu 001; Sungchul Kim; Victor S. Bursztyn; Nikos Vlassis; Ryan A. Rossi (CoRR, 2023)

PDFTriage: Question Answering over Long, Structured Documents. - Jon Saad-Falcon; Joe Barrow; Alexa F. Siu; Ani Nenkova; Ryan A. Rossi; Franck Dernoncourt (CoRR, 2023)

Leveraging Graph Diffusion Models for Network Refinement Tasks. - Puja Trivedi; Ryan A. Rossi; David Arbour; Tong Yu 001; Franck Dernoncourt; Sungchul Kim; Nedim Lipka; Namyong Park; Nesreen K. Ahmed; Danai Koutra (CoRR, 2023)

Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots. - Abhraneel Sarma; Shunan Guo; Jane Hoffswell; Ryan A. Rossi; Fan Du; Eunyee Koh; Matthew Kay 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Graph Deep Factors for Probabilistic Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (ACM Trans. Knowl. Discov. Data, 2023)

Knowledge Graph Prompting for Multi-Document Question Answering. - Yu Wang 160; Nedim Lipka; Ryan A. Rossi; Alexa F. Siu; Ruiyi Zhang 002; Tyler Derr (AAAI, 2024)

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. - Junda Wu; Tong Yu 001; Xiang Chen; Haoliang Wang; Ryan A. Rossi; Sungchul Kim; Anup B. Rao; Julian J. McAuley (ACL (1), 2024)

LIVE-ITS: LSH-based Interactive Visualization Explorer for Large-Scale Incomplete Time Series. - Hongjie Chen 003; Aaron D. Beachnau; Panos Thomas; Pranav Maneriker; Josh Kimball; Ryan A. Rossi (IEEE Big Data, 2024)

A Study of Foundation Models for Large-scale Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Hoda Eldardiry (IEEE Big Data, 2024)

GPURank: A Cloud GPU Instance Recommendation System. - Shravika Mittal; Kanak Mahadik; Ryan A. Rossi; Sungchul Kim; Handong Zhao (IEEE Big Data, 2024)

SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. - Ting-Yao Hsu; Chieh-Yang Huang; Shih-Hong Huang; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; C. Lee Giles; Ting-Hao Kenneth Huang (CHI Extended Abstracts, 2024)

Thinking Outside the Box: Non-Designer Perspectives and Recommendations for Template-Based Graphic Design Tools. - Farnaz Nouraei; Alexa F. Siu; Ryan A. Rossi; Nedim Lipka (CHI Extended Abstracts, 2024)

Exploring Interactive Color Palettes for Abstraction-Driven Exploratory Image Colorization. - Xinyu Shi; Mingyu Liu; Ziqi Zhou 003; Ali Neshati; Ryan A. Rossi; Jian Zhao 010 (CHI, 2024)

Data Quality-aware Graph Machine Learning. - Yu Wang 160; Kaize Ding; Xiaorui Liu; Jian Kang 008; Ryan A. Rossi; Tyler Derr (CIKM, 2024)

Topology-aware Retrieval Augmentation for Text Generation. - Yu Wang 160; Nedim Lipka; Ruiyi Zhang 002; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang 061; Ryan A. Rossi; Tyler Derr (CIKM, 2024)

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages. - Thuat Nguyen; Chien Van Nguyen; Viet Dac Lai; Hieu Man; Nghia Trung Ngo; Franck Dernoncourt; Ryan A. Rossi; Thien Huu Nguyen (LREC/COLING, 2024)

Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis? - Zhizhang Hu; Yue Zhang 044; Ryan A. Rossi; Tong Yu 001; Sungchul Kim; Shijia Pan (EdgeFM@MobiSys, 2024)

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs. - Mihir Parmar; Hanieh Deilamsalehy; Franck Dernoncourt; Seunghyun Yoon 002; Ryan A. Rossi; Trung Bui (EMNLP, 2024)

PDFTriage: Question Answering over Long, Structured Documents. - Jon Saad-Falcon; Joe Barrow; Alexa F. Siu; Ani Nenkova; Seunghyun Yoon 002; Ryan A. Rossi; Franck Dernoncourt (EMNLP (Industry Track), 2024)

Forward Learning of Graph Neural Networks. - Namyong Park; Xing Wang; Antoine Simoulin; Shuai Yang; Grey Yang; Ryan A. Rossi; Puja Trivedi; Nesreen K. Ahmed (ICLR, 2024)

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. - Yuchen Zhuang; Xiang Chen; Tong Yu 001; Saayan Mitra; Victor S. Bursztyn; Ryan A. Rossi; Somdeb Sarkhel; Chao Zhang 014 (ICLR, 2024)

On Mechanistic Knowledge Localization in Text-to-Image Generative Models. - Samyadeep Basu; Keivan Rezaei; Priyatham Kattakinda; Vlad I. Morariu; Nanxuan Zhao; Ryan A. Rossi; Varun Manjunatha; Soheil Feizi (ICML, 2024)

Editing Partially Observable Networks via Graph Diffusion Models. - Puja Trivedi; Ryan A. Rossi; David Arbour; Tong Yu 001; Franck Dernoncourt; Sungchul Kim; Nedim Lipka; Namyong Park; Nesreen K. Ahmed; Danai Koutra (ICML, 2024)

Continuous Treatment Effects with Surrogate Outcomes. - Zhenghao Zeng; David Arbour; Avi Feller; Raghavendra Addanki; Ryan A. Rossi; Ritwik Sinha; Edward H. Kennedy (ICML, 2024)

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models. - Minh Nguyen 007; Franck Dernoncourt; Seunghyun Yoon 002; Hanieh Deilamsalehy; Hao Tan 002; Ryan A. Rossi; Quan Hung Tran; Trung Bui; Thien Huu Nguyen (INTERSPEECH, 2024)

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. - Rui Wang 088; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Handong Zhao; Junda Wu; Subrata Mitra; Lina Yao 001; Ricardo Henao (NAACL-HLT (Findings), 2024)

Hallucination Diversity-Aware Active Learning for Text Summarization. - Yu Xia 007; Xu Liu; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Anup B. Rao; Tung Mai; Shuai Li 010 (NAACL-HLT, 2024)

ScaleViz: Scaling Visualization Recommendation Models on Large Data. - Ghazi Shazan Ahmad; Shubham Agarwal 007; Subrata Mitra; Ryan A. Rossi; Manav Doshi; Vibhor Porwal; Syam Manoj Kumar Paila (PAKDD (5), 2024)

Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Hoda Eldardiry (PAKDD (6), 2024)

"The Data Says Otherwise" - Towards Automated Fact-checking and Communication of Data Claims. - Yu Fu; Shunan Guo; Jane Hoffswell; Victor S. Bursztyn; Ryan A. Rossi; John T. Stasko (UIST, 2024)

Interaction Techniques for Exploratory Data Visualization on Mobile Devices. - Luke S. Snyder; Ryan A. Rossi; Eunyee Koh; Jeffrey Heer; Jane Hoffswell (EuroVis (Short Papers), 2024)

Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. - Mehrnoosh Mirtaheri; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Tong Yu 001; Xiang Chen; Mohammad Rostami (WWW (Companion Volume), 2024)

Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. - Yu Xia 007; Fang Kong 002; Tong Yu 001; Liya Guo; Ryan A. Rossi; Sungchul Kim; Shuai Li 010 (WWW, 2024)

Bias and Fairness in Large Language Models: A Survey. - Isabel O. Gallegos; Ryan A. Rossi; Joe Barrow; Md. Mehrab Tanjim; Sungchul Kim; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; Nesreen K. Ahmed (Comput. Linguistics, 2024)

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. - Yujian Liu; Jiabao Ji; Tong Yu 001; Ryan A. Rossi; Sungchul Kim; Handong Zhao; Ritwik Sinha; Yang Zhang 001; Shiyu Chang (CoRR, 2024)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. - Isabel O. Gallegos; Ryan A. Rossi; Joe Barrow; Md. Mehrab Tanjim; Tong Yu 001; Hanieh Deilamsalehy; Ruiyi Zhang 002; Sungchul Kim; Franck Dernoncourt (CoRR, 2024)

Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models. - Younghun Lee; Sungchul Kim; Tong Yu 001; Ryan A. Rossi; Xiang Chen (CoRR, 2024)

On Mechanistic Knowledge Localization in Text-to-Image Generative Models. - Samyadeep Basu; Keivan Rezaei; Priyatham Kattakinda; Ryan A. Rossi; Cherry Zhao; Vlad I. Morariu; Varun Manjunatha; Soheil Feizi (CoRR, 2024)

Augmenting Textual Generation via Topology Aware Retrieval. - Yu Wang 160; Nedim Lipka; Ruiyi Zhang 002; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang 061; Ryan A. Rossi; Tyler Derr (CoRR, 2024)

Large Generative Graph Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (CoRR, 2024)

Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data. - Younghun Lee; Sungchul Kim; Ryan A. Rossi; Tong Yu 001; Xiang Chen (CoRR, 2024)

LongLaMP: A Benchmark for Personalized Long-form Text Generation. - Ishita Kumar; Snigdha Viswanathan; Sushrita Yerra; Alireza Salemi; Ryan A. Rossi; Franck Dernoncourt; Hanieh Deilamsalehy; Xiang Chen; Ruiyi Zhang 002; Shubham Agarwal 007; Nedim Lipka; Hamed Zamani (CoRR, 2024)

KaPQA: Knowledge-Augmented Product Question-Answering. - Swetha Eppalapally; Daksh Dangi; Chaithra Bhat; Ankita Gupta; Ruiyi Zhang 002; Shubham Agarwal 007; Karishma Bagga; Seunghyun Yoon 002; Nedim Lipka; Ryan A. Rossi; Franck Dernoncourt (CoRR, 2024)

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Franck Dernoncourt; Tong Yu 001; Xiang Chen; Subrata Mitra; Nedim Lipka (CoRR, 2024)

MMR: Evaluating Reading Ability of Large Multimodal Models. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Ryan A. Rossi; Jiuxiang Gu; Changyou Chen (CoRR, 2024)

X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation. - Hanjia Lyu; Ryan A. Rossi; Xiang Chen; Md. Mehrab Tanjim; Stefano Petrangeli; Somdeb Sarkhel; Jiebo Luo 001 (CoRR, 2024)

A Multi-LLM Debiasing Framework. - Deonna M. Owens; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Franck Dernoncourt; Xiang Chen; Ruiyi Zhang 002; Jiuxiang Gu; Hanieh Deilamsalehy; Nedim Lipka (CoRR, 2024)

Visual Prompting in Multimodal Large Language Models: A Survey. - Junda Wu; Zhehao Zhang 001; Yu Xia 007; Xintong Li 001; Zhaoyang Xia; Aaron Chang; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ruiyi Zhang 002; Subrata Mitra; Dimitris N. Metaxas; et al. (CoRR, 2024)

Federated Large Language Models: Current Progress and Future Directions. - Yuhang Yao; Jianyi Zhang; Junda Wu; Chengkai Huang; Yu Xia 007; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Ang Li 005; Lina Yao 001; Julian J. McAuley; et al. (CoRR, 2024)

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. - Zhehao Zhang 001; Ryan A. Rossi; Tong Yu 001; Franck Dernoncourt; Ruiyi Zhang 002; Jiuxiang Gu; Sungchul Kim; Xiang Chen; Zichao Wang 001; Nedim Lipka (CoRR, 2024)

Taipan: Efficient and Expressive State Space Language Models with Selective Attention. - Chien Van Nguyen; Huy Huu Nguyen; Thang M. Pham; Ruiyi Zhang 002; Hanieh Deilamsalehy; Puneet Mathur; Ryan A. Rossi; Trung Bui; Viet Dac Lai; Franck Dernoncourt; Thien Huu Nguyen (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

Survey of User Interface Design and Interaction Techniques in Generative AI Applications. - Reuben Luera; Ryan A. Rossi; Alexa F. Siu; Franck Dernoncourt; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Xiang Chen; Hanieh Salehy; Jian Zhao 010; Samyadeep Basu; Puneet Mathur; et al. (CoRR, 2024)

GRS-QA - Graph Reasoning-Structured Question Answering Dataset. - Anish Pahilajani; Devasha Trivedi; Jincen Shuai; Khin S. Yone; Samyak Rajesh Jain; Namyong Park; Ryan A. Rossi; Nesreen K. Ahmed; Franck Dernoncourt; Yu Wang 160 (CoRR, 2024)

LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Tong Yu 001; Franck Dernoncourt; Jiuxiang Gu; Ryan A. Rossi; Changyou Chen; Tong Sun 005 (CoRR, 2024)

DynaSaur: Large Language Agents Beyond Predefined Actions. - Dang Nguyen; Viet Dac Lai; Seunghyun Yoon 002; Ryan A. Rossi; Handong Zhao; Ruiyi Zhang 002; Puneet Mathur; Nedim Lipka; Yu Wang 160; Trung Bui; Franck Dernoncourt; Tianyi Zhou 001 (CoRR, 2024)

Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text. - Reuben Luera; Ryan A. Rossi; Franck Dernoncourt; Alexa F. Siu; Sungchul Kim; Tong Yu 001; Ruiyi Zhang 002; Xiang Chen; Nedim Lipka; Zhehao Zhang 001; Seon Gyeom Kim; Tak Yeon Lee (CoRR, 2024)

Understanding the Impact of Spatial Immersion in Web Data Stories. - Seon Gyeom Kim; Juhyeong Park; Yutaek Song; Donggun Lee; Yubin Lee; Ryan A. Rossi; Jane Hoffswell; Eunyee Koh; Tak Yeon Lee (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

Political-LLM: Large Language Models in Political Science. - Lincan Li; Jiaqi Li; Catherine Chen 003; Fred Gui; Hongjia Yang; Chenxiao Yu; Zhengguang Wang; Jianing Cai; Junlong Aaron Zhou; Bolin Shen; Alex Qian; Weixin Chen; et al. (CoRR, 2024)

AD-LLM: Benchmarking Large Language Models for Anomaly Detection. - Tiankai Yang 001; Yi Nian; Shawn Li; Ruiyao Xu; Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Xiyang Hu; Ryan A. Rossi; Kaize Ding; Xiaohu You 001; Yue Zhao 016 (CoRR, 2024)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 002; Tong Yu 001; Xiang Chen; Yufan Zhou 001; Tong Sun 005; et al. (CoRR, 2024)

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. - Zihao Lin 003; Zichao Wang 001; Yuanting Pan; Varun Manjunatha; Ryan A. Rossi; Angela Lau; Lifu Huang; Tong Sun 005 (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (CoRR, 2024)

Multi-LLM Text Summarization. - Jiangnan Fang; Cheng-Tse Liu; Jieun Kim; Yash Bhedaru; Ethan Liu; Nikhil Singh 011; Nedim Lipka; Puneet Mathur; Nesreen K. Ahmed; Franck Dernoncourt; Ryan A. Rossi; Hanieh Deilamsalehy (CoRR, 2024)

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. - Rashmi Ranjan Bhuyan; Adel Javanmard; Sungchul Kim; Gourab Mukherjee; Ryan A. Rossi; Tong Yu 001; Handong Zhao (J. Mach. Learn. Res., 2024)

Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. - Hyeok Kim; Ryan A. Rossi; Jessica Hullman; Jane Hoffswell (IEEE Trans. Vis. Comput. Graph., 2024)

Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback. - Guande Wu; Shunan Guo; Jane Hoffswell; Gromit Yeuk-Yin Chan; Ryan A. Rossi; Eunyee Koh (IEEE Trans. Vis. Comput. Graph., 2024)

Fairness-Aware Graph Neural Networks: A Survey. - April Chen; Ryan A. Rossi; Namyong Park; Puja Trivedi; Yu Wang 160; Tong Yu 001; Sungchul Kim; Franck Dernoncourt; Nesreen K. Ahmed (ACM Trans. Knowl. Discov. Data, 2024)

Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey. - Kewei Cheng; Nesreen K. Ahmed; Ryan A. Rossi; Theodore L. Willke; Yizhou Sun (ACM Trans. Knowl. Discov. Data, 2024)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 005; Tong Yu 001; Xiang Chen; Yufan Zhou 001; Tong Sun 005; et al. (AAAI, 2025)

AD-LLM: Benchmarking Large Language Models for Anomaly Detection. - Tiankai Yang 001; Yi Nian; Li Li 006; Ruiyao Xu; Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Xiyang Hu; Ryan A. Rossi; Kaize Ding; Xia Hu 001; Yue Zhao 016 (ACL (Findings), 2025)

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases. - Yongjia Lei; Haoyu Han 001; Ryan A. Rossi; Franck Dernoncourt; Nedim Lipka; Mahantesh M. Halappanavar; Jiliang Tang; Yu Wang 160 (ACL (Findings), 2025)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (ACL (Findings), 2025)

ChartLens: Fine-grained Visual Attribution in Charts. - Manan Suri; Puneet Mathur; Nedim Lipka; Franck Dernoncourt; Ryan A. Rossi; Dinesh Manocha (ACL (1), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

Causal Discovery-Driven Change Point Detection in Time Series. - Shanyun Gao; Raghavendra Addanki; Tong Yu 001; Ryan A. Rossi; Murat Kocaoglu (AISTATS, 2025)

DocVoyager: Anticipating User's Information Needs and Guiding Document Reading through Question Answering. - Yoonjoo Lee; Nedim Lipka; Zichao Wang 001; Ryan A. Rossi; Puneet Mathur; Tong Sun 005; Alexa F. Siu (CHI Extended Abstracts, 2025)

Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens. - Xinyu Shi; Yinghou Wang; Ryan A. Rossi; Jian Zhao 010 (CHI, 2025)

PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents. - Kanika Goswami; Puneet Mathur; Ryan A. Rossi; Franck Dernoncourt (ECIR (5), 2025)

A Large-scale Training Paradigm for Graph Generative Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (ICLR, 2025)

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Tong Yu 001; Franck Dernoncourt; Jiuxiang Gu; Ryan A. Rossi; Changyou Chen; Tong Sun 005 (ICLR, 2025)

Towards Optimal Multi-draft Speculative Decoding. - Zhengmian Hu; Tong Zheng; Vignesh Viswanathan; Ziyi Chen 002; Ryan A. Rossi; Yihan Wu; Dinesh Manocha; Heng Huang (ICLR, 2025)

Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Hoda Eldardiry (KDD (1), 2025)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. - Isabel O. Gallegos; Ryan Aponte; Ryan A. Rossi; Joe Barrow; Md. Mehrab Tanjim; Tong Yu 001; Hanieh Deilamsalehy; Ruiyi Zhang 002; Sungchul Kim; Franck Dernoncourt; Nedim Lipka; Deonna M. Owens; et al. (NAACL (Short Papers), 2025)

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. - Yeonjun In; Sungchul Kim; Ryan A. Rossi; Md. Mehrab Tanjim; Tong Yu 001; Ritwik Sinha; Chanyoung Park 001 (NAACL (Long Papers), 2025)

VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation. - Manan Suri; Puneet Mathur; Franck Dernoncourt; Kanika Goswami; Ryan A. Rossi; Dinesh Manocha (NAACL (Long Papers), 2025)

Demystifying the Power of Large Language Models in Graph Generation. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Nesreen K. Ahmed; Danai Koutra; Franck Dernoncourt; Tyler Derr (NAACL (Findings), 2025)

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. - Yu Xia 007; Junda Wu; Sungchul Kim; Tong Yu 001; Ryan A. Rossi; Haoliang Wang; Julian J. McAuley (NAACL (Long Papers), 2025)

Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts. - Seon Gyeom Kim; Jae Young Choi; Ryan A. Rossi; Eunyee Koh; Tak Yeon Lee (PacificVis, 2025)

LUSIFER: Language Universal Space Integration for Enhanced Representation in Multilingual Text Embedding Models. - Hieu Man; Nghia Trung Ngo; Viet Dac Lai; Ryan A. Rossi; Franck Dernoncourt; Thien Huu Nguyen (SIGIR, 2025)

ChartCitor: Answer Citations for ChartQA via Multi-Agent LLM Retrieval. - Kanika Goswami; Puneet Mathur; Ryan A. Rossi; Franck Dernoncourt (WWW (Companion Volume), 2025)

PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Retrieval Feedback. - Kanika Goswami; Puneet Mathur; Ryan A. Rossi; Franck Dernoncourt (WWW (Companion Volume), 2025)

Interactive Visualization Recommendation with Hier-SUCB. - Songwen Hu; Ryan A. Rossi; Tong Yu 001; Junda Wu; Handong Zhao; Sungchul Kim; Shuai Li 010 (WWW, 2025)

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. - Reuben Luera; Ryan A. Rossi; Franck Dernoncourt; Alexa F. Siu; Sungchul Kim; Tong Yu 001; Ruiyi Zhang 002; Xiang Chen; Nedim Lipka; Zhehao Zhang 001; Seon Gyeom Kim; Tak Yeon Lee (WWW (Companion Volume), 2025)

CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement. - Leitian Tao; Xiang Chen; Tong Yu 001; Tung Mai; Ryan A. Rossi; Yixuan Li 001; Saayan Mitra (Trans. Mach. Learn. Res., 2025)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

Retrieval-Augmented Generation with Graphs (GraphRAG). - Haoyu Han 001; Yu Wang 160; Harry Shomer; Kai Guo 003; Jiayuan Ding; Yongjia Lei; Mahantesh Halappanavar; Ryan A. Rossi; Subhabrata Mukherjee; Xianfeng Tang; Qi He 002; Zhigang Hua; et al. (CoRR, 2025)

LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models. - Hieu Man; Nghia Trung Ngo; Viet Dac Lai; Ryan A. Rossi; Franck Dernoncourt; Thien Huu Nguyen (CoRR, 2025)

Personalized Graph-Based Retrieval for Large Language Models. - Steven Au; Cameron J. Dimacali; Ojasmitha Pedirappagari; Namyong Park; Franck Dernoncourt; Yu Wang 160; Nikos Kanakaris; Hanieh Deilamsalehy; Ryan A. Rossi; Nesreen K. Ahmed (CoRR, 2025)

Multi-LLM Collaborative Caption Generation in Scientific Documents. - Jaeyoung Kim; Jongho Lee; Hong-Jun Choi; Ting-Yao Hsu; Chieh-Yang Huang; Sungchul Kim; Ryan A. Rossi; Tong Yu 001; Clyde Lee Giles; Ting-Hao (Kenneth) Huang; Sungchul Choi (CoRR, 2025)

Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. - Ho Yin Ng; Ting-Yao Hsu; Jiyoo Min; Sungchul Kim; Ryan A. Rossi; Tong Yu 001; Hyunggu Jung; Ting-Hao Kenneth Huang (CoRR, 2025)

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023. - Ting-Yao Hsu; Yi-Li Hsu; Shaurya Rohatgi; Chieh-Yang Huang; Ho Yin Sam Ng; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Lun-Wei Ku; C. Lee Giles; Ting-Hao K. Huang (CoRR, 2025)

PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback. - Kanika Goswami; Puneet Mathur; Ryan A. Rossi; Franck Dernoncourt (CoRR, 2025)

ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution. - Kanika Goswami; Puneet Mathur; Ryan A. Rossi; Franck Dernoncourt (CoRR, 2025)

Pandora with Inaccurate Priors. - Kiarash Banihashem; Xiang Chen; MohammadTaghi Hajiaghayi; Sungchul Kim; Kanak Mahadik; Ryan A. Rossi; Tong Yu 001 (CoRR, 2025)

NoLiMa: Long-Context Evaluation Beyond Literal Matching. - Ali Modarressi; Hanieh Deilamsalehy; Franck Dernoncourt; Trung Bui; Ryan A. Rossi; Seunghyun Yoon 002; Hinrich Schütze (CoRR, 2025)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. - Bo Ni; Zheyuan Liu 010; Leyao Wang; Yongjia Lei; Yuying Zhao; Xueqi Cheng; Qingkai Zeng 001; Luna Dong; Yinglong Xia; Krishnaram Kenthapadi; Ryan A. Rossi; Franck Dernoncourt; et al. (CoRR, 2025)

On Mechanistic Circuits for Extractive Question-Answering. - Samyadeep Basu; Vlad I. Morariu; Zichao Wang 001; Ryan A. Rossi; Cherry Zhao; Soheil Feizi; Varun Manjunatha (CoRR, 2025)

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. - Junda Wu; Yuxin Xiong; Xintong Li 001; Yu Xia 007; Ruoyu Wang 038; Yu Wang 160; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2025)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. - Zihao Lin 003; Samyadeep Basu; Mohammad Beigi; Varun Manjunatha; Ryan A. Rossi; Zichao Wang 001; Yufan Zhou 001; Sriram Balasubramanian; Arman Zarei; Keivan Rezaei; Ying Shen 006; Barry Menglong Yao; et al. (CoRR, 2025)

Exploring Rewriting Approaches for Different Conversational Tasks. - Md. Mehrab Tanjim; Ryan A. Rossi; Mike Rimer; Xiang Chen; Sungchul Kim; Vaishnavi Muppala; Tong Yu 001; Zhengmian Hu; Ritwik Sinha; Wei Zhang; Iftikhar Ahamath Burhanuddin; Franck Dernoncourt (CoRR, 2025)

Active Learning for Direct Preference Optimization. - Branislav Kveton; Xintong Li 001; Julian J. McAuley; Ryan A. Rossi; Jingbo Shang; Junda Wu; Tong Yu 001 (CoRR, 2025)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models. - Chengkai Huang; Junda Wu; Yu Xia 007; Zixu Yu; Ruhan Wang; Tong Yu 001; Ruiyi Zhang 002; Ryan A. Rossi; Branislav Kveton; Dongruo Zhou; Julian J. McAuley; Lina Yao 001 (CoRR, 2025)

Few-Shot Graph Out-of-Distribution Detection with LLMs. - Haoyan Xu; Zhengtao Yao; Yushun Dong; Ziyi Wang; Ryan A. Rossi; Mengyuan Li; Yue Zhao 016 (CoRR, 2025)

Efficient Model Selection for Time Series Forecasting via LLMs. - Wang Wei; Tiankai Yang 001; Hongjie Chen 003; Ryan A. Rossi; Yue Zhao 016; Franck Dernoncourt; Hoda Eldardiry (CoRR, 2025)

A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models. - Zhouhang Xie; Junda Wu; Yiran Shen 004; Yu Xia 007; Xintong Li 001; Aaron Chang; Ryan A. Rossi; Sachin Kumar; Bodhisattwa Prasad Majumder; Jingbo Shang; Prithviraj Ammanabrolu; Julian J. McAuley (CoRR, 2025)

WaterFlow: Learning Fast & Robust Watermarks using Stable Diffusion. - Vinay Shukla; Prachee Sharma; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Aditya Grover (CoRR, 2025)

In-context Ranking Preference Optimization. - Junda Wu; Rohan Surana; Zhouhang Xie; Yiran Shen 004; Yu Xia 007; Tong Yu 001; Ryan A. Rossi; Prithviraj Ammanabrolu; Julian J. McAuley (CoRR, 2025)

CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks. - Rui Wang 088; Junda Wu; Yu Xia 007; Tong Yu 001; Ruiyi Zhang 002; Ryan A. Rossi; Lina Yao 001; Julian J. McAuley (CoRR, 2025)

A Reinforcement Learning Framework for N-Ary Document-Level Relation Extraction. - Chenhan Yuan; Ryan A. Rossi; Andrew Katz; Hoda Eldardiry (IEEE Trans. Big Data, 2025)

Evaluation-free Time-series Forecasting Model Selection via Meta-learning. - Mustafa Abdallah; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Handong Zhao; Saurabh Bagchi (ACM Trans. Knowl. Discov. Data, 2025)

InfoVids: Reimagining the Viewer Experience with Alternative Visualization-Presenter Relationships. - Ji Won Chung; Tongyu Zhou; Ivy Chen; Kevin Hsu; Ryan A. Rossi; Alexa F. Siu; Shunan Guo; Franck Dernoncourt; James Tompkin 001; Jeff Huang 002 (CoRR, 2025)

Document Attribution: Examining Citation Relationships using Large Language Models. - Vipula Rawte; Ryan A. Rossi; Franck Dernoncourt; Nedim Lipka (CoRR, 2025)

Generative AI for Autonomous Driving: Frontiers and Opportunities. - Yuping Wang; Shuo Xing; Cui Can; Renjie Li 003; Hongyuan Hua; Kexin Tian; Zhaobin Mo; Xiangbo Gao; Keshu Wu; Sulong Zhou; Hengxu You; Juntong Peng; et al. (CoRR, 2025)

Disambiguation in Conversational Question Answering in the Era of LLM: A Survey. - Md. Mehrab Tanjim; Yeonjun In; Xiang Chen; Victor S. Bursztyn; Ryan A. Rossi; Sungchul Kim; Guang-Jie Ren; Vaishnavi Muppala; Shun Jiang; Yongsung Kim; Chanyoung Park 001 (CoRR, 2025)

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. - Li Li 006; Peilin Cai; Ryan A. Rossi; Franck Dernoncourt; Branislav Kveton; Junda Wu; Tong Yu 001; Linxin Song; Tiankai Yang 001; Yuehan Qin; Nesreen K. Ahmed; Samyadeep Basu; et al. (CoRR, 2025)

A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models. - Utkarsh Sahu; Zhisheng Qi; Yongjia Lei; Ryan A. Rossi; Franck Dernoncourt; Nesreen K. Ahmed; Mahantesh M. Halappanavar; Yao Ma 001; Yu Wang 160 (CoRR, 2025)

Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents. - Manan Suri; Puneet Mathur; Nedim Lipka; Franck Dernoncourt; Ryan A. Rossi; Vivek Gupta; Dinesh Manocha (CoRR, 2025)

Quantitative LLM Judges. - Aishwarya Sahoo; Jeevana Kruthi Karnuthala; Tushar Parmanand Budhwani; Pranchal Agarwal; Sankaran Vaidyanathan; Alexa F. Siu; Franck Dernoncourt; Jennifer Healey; Nedim Lipka; Ryan A. Rossi; Uttaran Bhattacharya; Branislav Kveton (CoRR, 2025)

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles. - Ho Yin Sam Ng; Ting-Yao Hsu; Aashish Anantha Ramakrishnan; Branislav Kveton; Nedim Lipka; Franck Dernoncourt; Dongwon Lee 001; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ting-Hao Kenneth Huang (CoRR, 2025)

Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning. - Subhojyoti Mukherjee; Viet Dac Lai; Raghavendra Addanki; Ryan A. Rossi; Seunghyun Yoon 002; Trung Bui; Anup B. Rao; Jayakumar Subramanian; Branislav Kveton (CoRR, 2025)

Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition. - Mayank Bumb; Anshul Vemulapalli; Sri Harsha Vardhan Prasad Jella; Anish Gupta; An La; Ryan A. Rossi; Hongjie Chen 003; Franck Dernoncourt; Nesreen K. Ahmed; Yu Wang 160 (CoRR, 2025)

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. - Mohamed Elmoghany; Ryan A. Rossi; Seunghyun Yoon 002; Subhojyoti Mukherjee; Eslam Mohamed Bakr; Puneet Mathur; Gang Wu 013; Viet Dac Lai; Nedim Lipka; Ruiyi Zhang 002; Varun Manjunatha; Chien Van Nguyen; et al. (CoRR, 2025)

SAND: Boosting LLM Agents with Self-Taught Action Deliberation. - Yu Xia 007; Yiran Shen 004; Junda Wu; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Lina Yao 001; Julian J. McAuley (CoRR, 2025)

Lizard: An Efficient Linearization Framework for Large Language Models. - Chien Van Nguyen; Ruiyi Zhang 002; Hanieh Deilamsalehy; Puneet Mathur; Viet Dac Lai; Haoliang Wang; Jayakumar Subramanian; Ryan A. Rossi; Trung Bui; Nikos Vlassis; Franck Dernoncourt; Thien Huu Nguyen (CoRR, 2025)

Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling. - Mehrnoosh Mirtaheri; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Tong Yu 001; Xiang Chen; Mohammad Rostami (CoRR, 2025)

Measuring Time-Series Dataset Similarity using Wasserstein Distance. - Hongjie Chen 003; Akshay Mehra; Josh Kimball; Ryan A. Rossi (CoRR, 2025)

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer. - Ruoyu Wang 038; Junda Wu; Yu Xia 007; Tong Yu 001; Ryan A. Rossi; Julian J. McAuley; Lina Yao 001 (CoRR, 2025)

Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation. - Leyao Wang; Xutao Mao; Xuhui Zhan; Yuying Zhao; Bo Ni; Ryan A. Rossi; Nesreen K. Ahmed; Tyler Derr (CoRR, 2025)

VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding. - Jian Chen 043; Ming Li; Jihyung Kil; Chenguang Wang; Tong Yu 001; Ryan A. Rossi; Tianyi Zhou 001; Changyou Chen; Ruiyi Zhang 002 (CoRR, 2025)