Ryan A. Rossi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
167
Venues
43
Active years
1989–2026
Best venue rank
A*
Where they publish
- A*WWW23 papers
- A*ACL13 papers
- A*EMNLP12 papers
- A*KDD12 papers
- ACIKM12 papers
- A*ICML10 papers
- A*CHI9 papers
- ANAACL9 papers
- A*ICLR8 papers
- A*AAAI7 papers
- AWSDM6 papers
- NationalRANLP5 papers
- BPAKDD5 papers
- A*UIST3 papers
- CISM3 papers
- A*ICDM2 papers
- BIJCNN2 papers
- AEACL1 paper
- AAISTATS1 paper
- BCogSci1 paper
- AECIR1 paper
- A*ICCV1 paper
- BICMI1 paper
- BPacificVis1 paper
- CPACLIC1 paper
- A*SIGIR1 paper
- BCOLING1 paper
- AInterspeech1 paper
- ACSCW1 paper
- BINLG1 paper
- AICWSM1 paper
- A*COLT1 paper
- ASDM1 paper
- AWACV1 paper
- A*SODA1 paper
- BCLOUD1 paper
- AUAI1 paper
- BDSAA1 paper
- BNetworking1 paper
- CWAW1 paper
- BCCGRID1 paper
- BAINA1 paper
- ASC1 paper
Papers
167 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. | Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka |
| 2026 | ACL | Lizard: An Efficient Linearization Framework for Large Language Models. | Chien Van Nguyen, Huy Huu Nguyen, Ruiyi Zhang, Hanieh Deilamsalehy, Puneet Mathur, Viet Dac Lai, Haoliang Wang, Jayakumar Subramanian, Ryan A. Rossi, Trung Bui, Nikos Vlassis, Franck Dernoncourt, Thien Huu Nguyen |
| 2026 | ACL | Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models. | Chien Van Nguyen, Ryan A. Rossi, Linh Ngo Van, Franck Dernoncourt, Thien Huu Nguyen |
| 2026 | ACL | Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration. | Bo Ni, Qinwen Ge, Haowei Fu, Ryan A. Rossi, Xiaorui Liu, Jiejun Xu, Tyler Derr |
| 2026 | ACL | Structured Uncertainty guided Clarification for LLM Agents. | Manan Suri, Puneet Mathur, Nedim Lipka, Franck Dernoncourt, Ryan A. Rossi, Dinesh Manocha |
| 2026 | ACL | CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing. | Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Subrata Mitra, Lina Yao, Julian J. McAuley |
| 2026 | EACL | A Survey on LLM-based Conversational User Simulation. | Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi |
| 2026 | WWW | Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations. | Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley |
| 2026 | WSDM | Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs). | Zhisheng Qi, Yongjia Lei, Haoyu Han, Harry Shomer, Kaize Ding, Yu Zhang, Ryan A. Rossi, Hui Liu, Yu Wang |
| 2026 | WSDM | Knowledge Homophily in Large Language Models. | Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang |
| 2025 | AAAI | Numerical Pruning for Efficient Autoregressive Models. | Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu |
| 2025 | ACL | AD-LLM: Benchmarking Large Language Models for Anomaly Detection. | Tiankai Yang, Yi Nian, Li Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan A. Rossi, Kaize Ding, Xia Hu, Yue Zhao |
| 2025 | ACL | Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases. | Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Mahantesh M. Halappanavar, Jiliang Tang, Yu Wang |
| 2025 | ACL | GUI Agents: A Survey. | Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt |
| 2025 | ACL | ChartLens: Fine-grained Visual Attribution in Charts. | Manan Suri, Puneet Mathur, Nedim Lipka, Franck Dernoncourt, Ryan A. Rossi, Dinesh Manocha |
| 2025 | ACL | Doc-React: Multi-page Heterogeneous Document Question-answering. | Junda Wu, Yu Xia, Tong Yu, Xiang Chen, Sai Sree Harsha, Akash V. Maharaj, Ruiyi Zhang, Victor S. Bursztyn, Sungchul Kim, Ryan A. Rossi, Julian J. McAuley, Yunyao Li, Ritwik Sinha |
| 2025 | ACL | From Selection to Generation: A Survey of LLM-based Active Learning. | Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao 'Kenneth' Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley |
| 2025 | AISTATS | Causal Discovery-Driven Change Point Detection in Time Series. | Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu |
| 2025 | CHI | DocVoyager: Anticipating User's Information Needs and Guiding Document Reading through Question Answering. | Yoonjoo Lee, Nedim Lipka, Zichao Wang, Ryan A. Rossi, Puneet Mathur, Tong Sun, Alexa F. Siu |
| 2025 | CHI | Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens. | Xinyu Shi, Yinghou Wang, Ryan A. Rossi, Jian Zhao |
| 2025 | CogSci | VisChatter: Enhance Synchronous Collaboration on Data Visualization Dashboard with Visual Annotations. | Songwen Hu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Cindy Xiong Bearfield |
| 2025 | ECIR | PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents. | Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt |
| 2025 | EMNLP | Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. | Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang |
| 2025 | EMNLP | LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles. | Ho Yin Sam Ng, Edward Hsu, Aashish Anantha Ramakrishnan, Branislav Kveton, Nedim Lipka, Franck Dernoncourt, Dongwon Lee, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ting-Hao 'Kenneth' Huang |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: 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 |
| 2025 | EMNLP | Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. | Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | EMNLP | SAND: Boosting LLM Agents with Self-Taught Action Deliberation. | Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley |
| 2025 | ICCV | A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. | Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Nguyen, Daksh Dangi, Abel Salinas, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt |
| 2025 | ICLR | A Large-scale Training Paradigm for Graph Generative Models. | Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr |
| 2025 | ICLR | SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. | Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun |
| 2025 | ICLR | Towards Optimal Multi-draft Speculative Decoding. | Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang |
| 2025 | ICMI | Few-shot Fine-grained Image Classification with Interpretable Prompt Learning through Distribution Alignment. | Dongliang Guo, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Nedim Lipka, Tong Yu, Sheng Li |
| 2025 | ICML | Fully Dynamic Embedding into ℓp Spaces. | Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu |
| 2025 | ICML | NoLiMa: Long-Context Evaluation Beyond Literal Matching. | Ali Modarressi, Hanieh Deilamsalehy, Franck Dernoncourt, Trung Bui, Ryan A. Rossi, Seunghyun Yoon, Hinrich Schtze |
| 2025 | KDD | Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting. | Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry |
| 2025 | NAACL | Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. | Zihao Lin, Zichao Wang, Yuanting Pan, Varun Manjunatha, Ryan A. Rossi, Angela Lau, Lifu Huang, Tong Sun |
| 2025 | NAACL | 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, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt, Nedim Lipka, Deonna M. Owens, Jiuxiang Gu |
| 2025 | NAACL | Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. | Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park |
| 2025 | NAACL | 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 |
| 2025 | NAACL | Demystifying the Power of Large Language Models in Graph Generation. | Yu Wang, Ryan A. Rossi, Namyong Park, Nesreen K. Ahmed, Danai Koutra, Franck Dernoncourt, Tyler Derr |
| 2025 | NAACL | Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. | Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley |
| 2025 | PacificVis | 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 |
| 2025 | PACLIC | Personalized Graph-Based Retrieval for Large Language Models. | Steven Au, Cameron J. Dimacali, Ojasmitha Pedirappagari, Namyong Park, Franck Dernoncourt, Yu Wang, Nikos Kanakaris, Hanieh Deilamsalehy, Ryan A. Rossi, Nesreen K. Ahmed |
| 2025 | RANLP | A Framework for Fine-Tuning LLMs Using Heterogeneous Feedback. | Ryan Aponte, Ryan A. Rossi, Shunan Guo, Franck Dernoncourt, Tong Yu, Xiang Chen, Subrata Mitra, Nedim Lipka |
| 2025 | RANLP | Multi-LLM Text Summarization. | Jiangnan Fang, Cheng-Tse Liu, Jieun Kim, Yash Bhedaru, Ethan Liu, Nikhil Singh, Nedim Lipka, Puneet Mathur, Nesreen K. Ahmed, Franck Dernoncourt, Ryan A. Rossi, Hanieh Deilamsalehy |
| 2025 | RANLP | A Survey on Small Language Models. | Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen |
| 2025 | RANLP | Multi-LLM Debiasing Framework. | Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka |
| 2025 | RANLP | FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. | Ashish Singh, Ashutosh Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Soares Bursztyn, Nesreen K. Ahmed, Puneet Mathur, Erik G. Learned-Miller, Franck Dernoncourt, Ryan A. Rossi |
| 2025 | WWW | ChartCitor: Answer Citations for ChartQA via Multi-Agent LLM Retrieval. | Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt |
| 2025 | WWW | PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Retrieval Feedback. | Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt |
| 2025 | WWW | Interactive Visualization Recommendation with Hier-SUCB. | Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li |
| 2025 | WWW | Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. | Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Alexa F. Siu, Sungchul Kim, Tong Yu, Ruiyi Zhang, Xiang Chen, Nedim Lipka, Zhehao Zhang, Seon Gyeom Kim, Tak Yeon Lee |
| 2025 | SIGIR | 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 |
| 2024 | AAAI | Knowledge Graph Prompting for Multi-Document Question Answering. | Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr |
| 2024 | ACL | DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. | Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley |
| 2024 | CHI | 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, C. Lee Giles, Ting-Hao 'Kenneth' Huang |
| 2024 | CHI | 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 |
| 2024 | CHI | Exploring Interactive Color Palettes for Abstraction-Driven Exploratory Image Colorization. | Xinyu Shi, Mingyu Liu, Ziqi Zhou, Ali Neshati, Ryan A. Rossi, Jian Zhao |
| 2024 | CIKM | Data Quality-aware Graph Machine Learning. | Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr |
| 2024 | CIKM | Topology-aware Retrieval Augmentation for Text Generation. | Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr |
| 2024 | COLING | 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 |
| 2024 | EMNLP | Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs. | Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui |
| 2024 | EMNLP | PDFTriage: Question Answering over Long, Structured Documents. | Jon Saad-Falcon, Joe Barrow, Alexa F. Siu, Ani Nenkova, Seunghyun Yoon, Ryan A. Rossi, Franck Dernoncourt |
| 2024 | ICLR | Forward Learning of Graph Neural Networks. | Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed |
| 2024 | ICLR | ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. | Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang |
| 2024 | ICML | 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 |
| 2024 | ICML | Editing Partially Observable Networks via Graph Diffusion Models. | Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra |
| 2024 | ICML | Continuous Treatment Effects with Surrogate Outcomes. | Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy |
| 2024 | Interspeech | Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models. | Minh Nguyen, Franck Dernoncourt, Seunghyun Yoon, Hanieh Deilamsalehy, Hao Tan, Ryan A. Rossi, Quan Hung Tran, Trung Bui, Thien Huu Nguyen |
| 2024 | NAACL | Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. | Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao |
| 2024 | NAACL | Hallucination Diversity-Aware Active Learning for Text Summarization. | Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li |
| 2024 | PAKDD | ScaleViz: Scaling Visualization Recommendation Models on Large Data. | Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra, Ryan A. Rossi, Manav Doshi, Vibhor Porwal, Syam Manoj Kumar Paila |
| 2024 | PAKDD | Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. | Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry |
| 2024 | WWW | Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. | Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami |
| 2024 | WWW | Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. | Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li |
| 2024 | UIST | "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 |
| 2023 | CHI | Improving Learning-based Camera Pose Estimation for Image-based Augmented Reality Applications. | Enyu Cai, Ryan A. Rossi, Chang Xiao |
| 2023 | CHI | 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 |
| 2023 | CHI | De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation. | Xinyu Shi, Ziqi Zhou, Jing Wen Zhang, Ali Neshati, Anjul Kumar Tyagi, Ryan A. Rossi, Shunan Guo, Fan Du, Jian Zhao |
| 2023 | CIKM | 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 |
| 2023 | CSCW | How Small Businesses Transform PDF Agreements into Action. | Jianna So, Nedim Lipka, Alexa F. Siu, Ryan A. Rossi, Franck Dernoncourt |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Learning the Visualness of Text Using Large Vision-Language Models. | Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova |
| 2023 | ICLR | Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. | Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco |
| 2023 | ICLR | MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. | Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos |
| 2023 | ICML | A Model-free Closeness-of-influence Test for Features in Supervised Learning. | Mohammad Mehrabi, Ryan A. Rossi |
| 2023 | INLG | 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 |
| 2023 | ISM | Active Context Modeling for Efficient Image and Burst Compression. | Yang Li, Gang Wu, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Viswanathan Swaminathan |
| 2023 | KDD | User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. | Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li |
| 2023 | WWW | 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 |
| 2023 | WWW | SpotLight: Visual Insight Recommendation. | Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao |
| 2023 | WWW | 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 |
| 2023 | WWW | On Graph Time-Series Representations for Temporal Networks. | Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park |
| 2023 | UIST | TaleStream: Supporting Story Ideation with Trope Knowledge. | Jean-Pec Chou, Alexa Fay Siu, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Maneesh Agrawala |
| 2022 | CHI | Cicero: A Declarative Grammar for Responsive Visualization. | Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell |
| 2022 | CIKM | AutoForecast: Automatic Time-Series Forecasting Model Selection. | Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi |
| 2022 | CIKM | AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. | Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang |
| 2022 | CIKM | Implicit Session Contexts for Next-Item Recommendations. | Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar |
| 2022 | CIKM | Network Report: A Structured Description for Network Datasets. | Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz |
| 2022 | EMNLP | Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. | Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar |
| 2022 | ICML | One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. | Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed |
| 2022 | ICWSM | 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 |
| 2022 | ISM | Task-Oriented Near-Lossless Burst Compression. | Weixin Jiang, Gang Wu, Viswanathan Swaminathan, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Nedim Lipka |
| 2022 | KDD | External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. | Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu |
| 2022 | WWW | VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. | Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh |
| 2022 | WWW | 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 |
| 2022 | UIST | iMarker: Instant and True-to-scale AR with Invisible Markers. | Chang Xiao, Ryan A. Rossi, Eunyee Koh |
| 2022 | WSDM | On Generalizing Static Node Embedding to Dynamic Settings. | Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra |
| 2021 | AAAI | Graph Neural Networks with Heterophily. | Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra |
| 2021 | ACL | Learning Contextualized Knowledge Structures for Commonsense Reasoning. | Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren |
| 2021 | CIKM | Influence-guided Data Augmentation for Neural Tensor Completion. | Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar |
| 2021 | CIKM | 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 |
| 2021 | COLT | Machine Unlearning via Algorithmic Stability. | Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora |
| 2021 | ICLR | 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 |
| 2021 | ICML | Fundamental Tradeoffs in Distributionally Adversarial Training. | Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup B. Rao, Tung Mai |
| 2021 | ICML | Asymptotics of Ridge Regression in Convolutional Models. | Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher |
| 2021 | ISM | Open-Domain Trending Hashtag Recommendation for Videos. | Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, Saayan Mitra, Viswanathan Swaminathan, Ryan A. Rossi, Ali Aminian, Han Guo, Kshitiz Garg |
| 2021 | KDD | Interactive Audience Expansion On Large Scale Online Visitor Data. | Gromit Yeuk-Yin Chan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Fan Du, Cludio T. Silva, Juliana Freire |
| 2021 | KDD | Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. | Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry |
| 2021 | KDD | Learning to Recommend Visualizations from Data. | Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan |
| 2021 | KDD | EXACTA: Explainable Column Annotation. | Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan |
| 2021 | NAACL | Edge: Enriching Knowledge Graph Embeddings with External Text. | Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li |
| 2021 | WWW | 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 |
| 2021 | SDM | Provable Distributed Stochastic Gradient Descent with Delayed Updates. | Hongchang Gao, Gang Wu, Ryan A. Rossi |
| 2020 | ICML | Structured Policy Iteration for Linear Quadratic Regulator. | Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao |
| 2020 | KDD | Higher-order Clustering in Complex Heterogeneous Networks. | Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh |
| 2020 | WWW | Real-Time Clustering for Large Sparse Online Visitor Data. | Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cludio T. Silva, Juliana Freire |
| 2020 | WWW | Fast Hierarchical Graph Clustering in Linear-Time. | Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim |
| 2020 | WWW | From Closing Triangles to Closing Higher-Order Motifs. | Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed |
| 2020 | WWW | Fast and Accurate Estimation of Typed Graphlets. | Ryan A. Rossi, Anup Rao, Tung Mai, Nesreen K. Ahmed |
| 2020 | WACV | Figure Captioning with Relation Maps for Reasoning. | Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi |
| 2020 | SODA | Approximate Maximum Matching in Random Streams. | Alireza Farhadi, Mohammad Taghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi |
| 2020 | WSDM | A Structural Graph Representation Learning Framework. | Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori |
| 2019 | CIKM | Graph Convolutional Networks with Motif-based Attention. | John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao |
| 2019 | CLOUD | Linear Quadratic Regulator for Resource-Efficient Cloud Services. | Youngsuk Park, Kanak Mahadik, Ryan A. Rossi, Gang Wu, Handong Zhao |
| 2019 | KDD | Latent Network Summarization: Bridging Network Embedding and Summarization. | Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra |
| 2019 | UAI | On Densification for Minwise Hashing. | Tung Mai, Anup Rao, Matt Kapilevich, Ryan A. Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha |
| 2019 | WSDM | Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. | Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh |
| 2018 | CIKM | 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 |
| 2018 | ICDM | Interactive Higher-Order Network Analysis. | Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh |
| 2018 | IJCNN | Similarity-based Multi-label Learning. | Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou |
| 2018 | KDD | Graph Classification using Structural Attention. | John Boaz Lee, Ryan A. Rossi, Xiangnan Kong |
| 2018 | WWW | Continuous-Time Dynamic Network Embeddings. | Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim |
| 2018 | WWW | Higher-order Network Representation Learning. | Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh |
| 2018 | WWW | Deep Inductive Network Representation Learning. | Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed |
| 2017 | AAAI | A Higher-Order Latent Space Network Model. | Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou |
| 2017 | PAKDD | Edge Role Discovery via Higher-Order Structures. | Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou |
| 2016 | AAAI | Toward Interactive Relational Learning. | Ryan A. Rossi, Rong Zhou |
| 2016 | CIKM | Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks. | Ryan A. Rossi, Rong Zhou |
| 2016 | KDD | Exact and Estimation of Local Edge-centric Graphlet Counts. | Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi |
| 2015 | AAAI | The Network Data Repository with Interactive Graph Analytics and Visualization. | Ryan A. Rossi, Nesreen K. Ahmed |
| 2015 | DSAA | Scalable relational learning for large heterogeneous networks. | Ryan A. Rossi, Rong Zhou |
| 2015 | ICDM | Efficient Graphlet Counting for Large Networks. | Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield |
| 2014 | PAKDD | Fast Triangle Core Decomposition for Mining Large Graphs. | Ryan A. Rossi |
| 2014 | WWW | Fast maximum clique algorithms for large graphs. | Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary |
| 2013 | Networking | A multi-level approach for evaluating internet topology generators. | Ryan A. Rossi, Sonia Fahmy, Nilothpal Talukder |
| 2013 | WSDM | Modeling dynamic behavior in large evolving graphs. | Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson |
| 2012 | PAKDD | Time-Evolving Relational Classification and Ensemble Methods. | Ryan A. Rossi, Jennifer Neville |
| 2012 | WWW | Role-dynamics: fast mining of large dynamic networks. | Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson |
| 2012 | WAW | Dynamic PageRank Using Evolving Teleportation. | Ryan A. Rossi, David F. Gleich |
| 2010 | CCGRID | Polyphony: A Workflow Orchestration Framework for Cloud Computing. | Khawaja S. Shams, Mark W. Powell, Thomas M. Crockett, Jeffrey S. Norris, Ryan A. Rossi, Tom Sderstrm |
| 2010 | KDD | Modeling the evolution of discussion topics and communication to improve relational classification. | Ryan A. Rossi, Jennifer Neville |
| 2008 | IJCNN | Signature based intrusion detection using latent semantic analysis. | Jean-Louis Lassez, Ryan A. Rossi, Stephen J. Sheel, Srinivas Mukkamala |
| 2007 | AINA | Crick's Hypothesis Revisited: The Existence of a Universal Coding Frame. | Jean-Louis Lassez, Ryan A. Rossi, Axel E. Bernal |
| 1989 | SC | Realities associated with parallel processing. | Daniel E. Platt, Ryan A. Rossi, J. W. Wells, J. Becker |