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2020 – today
- 2025
[j37]Chenhan Yuan
, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
A Reinforcement Learning Framework for N-Ary Document-Level Relation Extraction. IEEE Trans. Big Data 11(2): 512-523 (2025)- [j36]Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi:
Evaluation-free Time-series Forecasting Model Selection via Meta-learning. ACM Trans. Knowl. Discov. Data 19(3): 64:1-64:41 (2025) - [j35]Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra:
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement. Trans. Mach. Learn. Res. 2025 (2025) - [j34]Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. Trans. Mach. Learn. Res. 2025 (2025) - [c170]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:
Numerical Pruning for Efficient Autoregressive Models. AAAI 2025: 20418-20426 - [c169]Yoonjoo Lee, Nedim Lipka, Zichao Wang, Ryan A. Rossi, Puneet Mathur, Tong Sun, Alexa F. Siu:
DocVoyager: Anticipating User's Information Needs and Guiding Document Reading through Question Answering. CHI Extended Abstracts 2025: 196:1-196:8 - [c168]Xinyu Shi, Yinghou Wang, Ryan A. Rossi, Jian Zhao:
Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens. CHI 2025: 424:1-424:20 - [c167]Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt:
PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents. ECIR (5) 2025: 130-134 - [c166]Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr:
A Large-scale Training Paradigm for Graph Generative Models. ICLR 2025 - [c165]Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun:
SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. ICLR 2025 - [c164]Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang:
Towards Optimal Multi-draft Speculative Decoding. ICLR 2025 - [c163]Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry:
Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting. KDD (1) 2025: 82-93 - [c162]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:
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. NAACL (Volume 2: Short Papers) 2025: 873-888 - [c161]Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park:
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. NAACL (Long Papers) 2025: 1212-1233 - [c160]Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley:
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. NAACL (Long Papers) 2025: 4275-4286 - [c159]Manan Suri, Puneet Mathur, Franck Dernoncourt, Kanika Goswami, Ryan A. Rossi, Dinesh Manocha:
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation. NAACL (Long Papers) 2025: 6088-6109 - [c158]Yu Wang, Ryan A. Rossi, Namyong Park, Nesreen K. Ahmed, Danai Koutra, Franck Dernoncourt, Tyler Derr:
Demystifying the Power of Large Language Models in Graph Generation. NAACL (Findings) 2025: 8174-8189 - [c157]Seon Gyeom Kim, Jae Young Choi, Ryan A. Rossi, Eunyee Koh, Tak Yeon Lee:
Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts. PacificVis 2025: 340-345 - [c156]Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li:
Interactive Visualization Recommendation with Hier-SUCB. WWW 2025: 313-321 - [c155]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:
Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. WWW (Companion Volume) 2025: 1167-1171 - [c154]Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt:
ChartCitor: Answer Citations for ChartQA via Multi-Agent LLM Retrieval. WWW (Companion Volume) 2025: 1668-1671 - [c153]Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt:
PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Retrieval Feedback. WWW (Companion Volume) 2025: 1672-1676 - [i189]Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang:
Retrieval-Augmented Generation with Graphs (GraphRAG). CoRR abs/2501.00309 (2025) - [i188]Hieu Man, Nghia Trung Ngo, Viet Dac Lai, Ryan A. Rossi, Franck Dernoncourt, Thien Huu Nguyen:
LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models. CoRR abs/2501.00874 (2025) - [i187]Steven Au, Cameron J. Dimacali, Ojasmitha Pedirappagari, Namyong Park, Franck Dernoncourt, Yu Wang, Nikos Kanakaris, Hanieh Deilamsalehy, Ryan A. Rossi, Nesreen K. Ahmed:
Personalized Graph-Based Retrieval for Large Language Models. CoRR abs/2501.02157 (2025) - [i186]Jaeyoung Kim, Jongho Lee, Hong-Jun Choi, Ting-Yao Hsu, Chieh-Yang Huang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Clyde Lee Giles, Ting-Hao (Kenneth) Huang, Sungchul Choi:
Multi-LLM Collaborative Caption Generation in Scientific Documents. CoRR abs/2501.02552 (2025) - [i185]Ho Yin Ng, Ting-Yao Hsu, Jiyoo Min, Sungchul Kim, Ryan A. Rossi, Tong Yu, Hyunggu Jung, Ting-Hao Kenneth Huang:
Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. CoRR abs/2501.06317 (2025) - [i184]Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt:
PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents. CoRR abs/2501.11233 (2025) - [i183]Ting-Yao Hsu, Yi-Li Hsu, Shaurya Rohatgi, Chieh-Yang Huang, Ho Yin Sam Ng, Ryan A. Rossi, Sungchul Kim, Tong Yu, Lun-Wei Ku, C. Lee Giles, Ting-Hao K. Huang:
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023. CoRR abs/2501.19353 (2025) - [i182]Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt:
PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback. CoRR abs/2502.00988 (2025) - [i181]Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt:
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution. CoRR abs/2502.00989 (2025) - [i180]Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li:
Interactive Visualization Recommendation with Hier-SUCB. CoRR abs/2502.03375 (2025) - [i179]Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu:
Pandora with Inaccurate Priors. CoRR abs/2502.03574 (2025) - [i178]Ali Modarressi, Hanieh Deilamsalehy, Franck Dernoncourt, Trung Bui, Ryan A. Rossi, Seunghyun Yoon, Hinrich Schütze:
NoLiMa: Long-Context Evaluation Beyond Literal Matching. CoRR abs/2502.05167 (2025) - [i177]Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr:
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. CoRR abs/2502.06872 (2025) - [i176]Samyadeep Basu, Vlad I. Morariu, Zichao Wang, Ryan A. Rossi, Cherry Zhao, Soheil Feizi, Varun Manjunatha:
On Mechanistic Circuits for Extractive Question-Answering. CoRR abs/2502.08059 (2025) - [i175]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:
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. CoRR abs/2502.11740 (2025) - [i174]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:
From Selection to Generation: A Survey of LLM-based Active Learning. CoRR abs/2502.11767 (2025) - [i173]Zihao Lin, Samyadeep Basu, Mohammad Beigi, Varun Manjunatha, Ryan A. Rossi, Zichao Wang, Yufan Zhou, Sriram Balasubramanian, Arman Zarei, Keivan Rezaei, Ying Shen, Barry Menglong Yao, Zhiyang Xu, Qin Liu, Yuxiang Zhang, Yan Sun, Shilong Liu, Li Shen, Hongxuan Li, Soheil Feizi, Lifu Huang:
A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. CoRR abs/2502.17516 (2025) - [i172]Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang:
Towards Optimal Multi-draft Speculative Decoding. CoRR abs/2502.18779 (2025) - [i171]Md. Mehrab Tanjim, Ryan A. Rossi, Mike Rimer, Xiang Chen, Sungchul Kim, Vaishnavi Muppala, Tong Yu, Zhengmian Hu, Ritwik Sinha, Wei Zhang, Iftikhar Ahamath Burhanuddin, Franck Dernoncourt:
Exploring Rewriting Approaches for Different Conversational Tasks. CoRR abs/2502.18860 (2025) - [i170]Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Mahantesh M. Halappanavar, Jiliang Tang, Yu Wang:
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases. CoRR abs/2502.20317 (2025) - [i169]Xinyu Shi, Yinghou Wang, Ryan A. Rossi, Jian Zhao:
Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens. CoRR abs/2502.21219 (2025) - [i168]Branislav Kveton, Xintong Li, Julian J. McAuley, Ryan A. Rossi, Jingbo Shang, Junda Wu, Tong Yu:
Active Learning for Direct Preference Optimization. CoRR abs/2503.01076 (2025) - [i167]Chengkai Huang, Junda Wu, Yu Xia, Zixu Yu, Ruhan Wang, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Branislav Kveton, Dongruo Zhou, Julian J. McAuley, Lina Yao:
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models. CoRR abs/2503.16734 (2025) - [i166]Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao:
Few-Shot Graph Out-of-Distribution Detection with LLMs. CoRR abs/2503.22097 (2025) - [i165]Wang Wei, Tiankai Yang, Hongjie Chen, Ryan A. Rossi, Yue Zhao, Franck Dernoncourt, Hoda Eldardiry:
Efficient Model Selection for Time Series Forecasting via LLMs. CoRR abs/2504.02119 (2025) - [i164]Zhouhang Xie, Junda Wu, Yiran Shen, Yu Xia, Xintong Li, Aaron Chang, Ryan A. Rossi, Sachin Kumar, Bodhisattwa Prasad Majumder, Jingbo Shang, Prithviraj Ammanabrolu, Julian J. McAuley:
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models. CoRR abs/2504.07070 (2025) - [i163]Vinay Shukla, Prachee Sharma, Ryan A. Rossi, Sungchul Kim, Tong Yu, Aditya Grover:
WaterFlow: Learning Fast & Robust Watermarks using Stable Diffusion. CoRR abs/2504.12354 (2025) - [i162]Junda Wu, Rohan Surana, Zhouhang Xie, Yiran Shen, Yu Xia, Tong Yu, Ryan A. Rossi, Prithviraj Ammanabrolu, Julian J. McAuley:
In-context Ranking Preference Optimization. CoRR abs/2504.15477 (2025) - [i161]Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Lina Yao, Julian J. McAuley:
CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks. CoRR abs/2504.21228 (2025) - [i160]Ji Won Chung, Tongyu Zhou, Ivy Chen, Kevin Hsu, Ryan A. Rossi, Alexa F. Siu, Shunan Guo, Franck Dernoncourt, James Tompkin, Jeff Huang:
InfoVids: Reimagining the Viewer Experience with Alternative Visualization-Presenter Relationships. CoRR abs/2505.03164 (2025) - [i159]Vipula Rawte, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka:
Document Attribution: Examining Citation Relationships using Large Language Models. CoRR abs/2505.06324 (2025) - [i158]Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu:
Generative AI for Autonomous Driving: Frontiers and Opportunities. CoRR abs/2505.08854 (2025) - [i157]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:
Disambiguation in Conversational Question Answering in the Era of LLM: A Survey. CoRR abs/2505.12543 (2025) - [i156]Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao:
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR abs/2505.14106 (2025) - [i155]Seon Gyeom Kim, Jae Young Choi, Ryan A. Rossi, Eunyee Koh, Tak Yeon Lee:
Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts. CoRR abs/2505.17374 (2025) - [i154]Utkarsh Sahu, Zhisheng Qi, Yongjia Lei, Ryan A. Rossi, Franck Dernoncourt, Nesreen K. Ahmed, Mahantesh M. Halappanavar, Yao Ma, Yu Wang:
A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models. CoRR abs/2505.19286 (2025) - [i153]Manan Suri, Puneet Mathur, Nedim Lipka, Franck Dernoncourt, Ryan A. Rossi, Dinesh Manocha:
ChartLens: Fine-grained Visual Attribution in Charts. CoRR abs/2505.19360 (2025) - [i152]Manan Suri, Puneet Mathur, Nedim Lipka, Franck Dernoncourt, Ryan A. Rossi, Vivek Gupta, Dinesh Manocha:
Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents. CoRR abs/2506.01344 (2025) - [i151]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:
Quantitative LLM Judges. CoRR abs/2506.02945 (2025) - [i150]Ho Yin Sam Ng, Ting-Yao Hsu, Aashish Anantha Ramakrishnan, Branislav Kveton, Nedim Lipka, Franck Dernoncourt, Dongwon Lee, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ting-Hao Kenneth Huang:
LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles. CoRR abs/2506.06561 (2025) - [i149]Subhojyoti Mukherjee, Viet Dac Lai, Raghavendra Addanki, Ryan A. Rossi, Seunghyun Yoon, Trung Bui, Anup B. Rao, Jayakumar Subramanian, Branislav Kveton:
Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning. CoRR abs/2506.06964 (2025) - [i148]Mayank Bumb, Anshul Vemulapalli, Sri Harsha Vardhan Prasad Jella, Anish Gupta, An La, Ryan A. Rossi, Hongjie Chen, Franck Dernoncourt, Nesreen K. Ahmed, Yu Wang:
Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition. CoRR abs/2506.12953 (2025) - 2024
- [j33]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. Comput. Linguistics 50(3): 1097-1179 (2024) - [j32]Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao:
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. J. Mach. Learn. Res. 25: 224:1-224:46 (2024) - [j31]April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed:
Fairness-Aware Graph Neural Networks: A Survey. ACM Trans. Knowl. Discov. Data 18(6): 138:1-138:23 (2024) - [j30]Kewei Cheng, Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Yizhou Sun:
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey. ACM Trans. Knowl. Discov. Data 18(9): 225:1-225:44 (2024) - [j29]Guande Wu, Shunan Guo, Jane Hoffswell, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Eunyee Koh:
Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback. IEEE Trans. Vis. Comput. Graph. 30(1): 131-141 (2024) - [j28]Hyeok Kim, Ryan A. Rossi, Jessica Hullman, Jane Hoffswell:
Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. IEEE Trans. Vis. Comput. Graph. 30(1): 934-943 (2024) - [c152]Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. AAAI 2024: 19206-19214 - [c151]Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley:
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. ACL (1) 2024: 14073-14087 - [c150]Hongjie Chen, Aaron D. Beachnau, Panos Thomas, Pranav Maneriker, Josh Kimball, Ryan A. Rossi:
LIVE-ITS: LSH-based Interactive Visualization Explorer for Large-Scale Incomplete Time Series. IEEE Big Data 2024: 840-849 - [c149]Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry:
A Study of Foundation Models for Large-scale Time-series Forecasting. IEEE Big Data 2024: 1255-1259 - [c148]Shravika Mittal, Kanak Mahadik, Ryan A. Rossi, Sungchul Kim, Handong Zhao:
GPURank: A Cloud GPU Instance Recommendation System. IEEE Big Data 2024: 2349-2354 - [c147]Xinyu Shi, Mingyu Liu, Ziqi Zhou, Ali Neshati, Ryan A. Rossi, Jian Zhao:
Exploring Interactive Color Palettes for Abstraction-Driven Exploratory Image Colorization. CHI 2024: 146:1-146:16 - [c146]Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao Kenneth Huang:
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CHI Extended Abstracts 2024: 284:1-284:9 - [c145]Farnaz Nouraei, Alexa F. Siu, Ryan A. Rossi, Nedim Lipka:
Thinking Outside the Box: Non-Designer Perspectives and Recommendations for Template-Based Graphic Design Tools. CHI Extended Abstracts 2024: 326:1-326:9 - [c144]Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr:
Topology-aware Retrieval Augmentation for Text Generation. CIKM 2024: 2442-2452 - [c143]Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr:
Data Quality-aware Graph Machine Learning. CIKM 2024: 5534-5537 - [c142]Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, Hieu Man, Nghia Trung Ngo, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen:
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages. LREC/COLING 2024: 4226-4237 - [c141]Zhizhang Hu, Yue Zhang, Ryan A. Rossi, Tong Yu, Sungchul Kim, Shijia Pan:
Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis? EdgeFM@MobiSys 2024: 24-29 - [c140]Jon Saad-Falcon, Joe Barrow, Alexa F. Siu, Ani Nenkova, Seunghyun Yoon, Ryan A. Rossi, Franck Dernoncourt:
PDFTriage: Question Answering over Long, Structured Documents. EMNLP (Industry Track) 2024: 153-169 - [c139]Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui:
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs. EMNLP 2024: 19810-19820 - [c138]Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed:
Forward Learning of Graph Neural Networks. ICLR 2024 - [c137]Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang:
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. ICLR 2024 - [c136]Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I. Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi:
On Mechanistic Knowledge Localization in Text-to-Image Generative Models. ICML 2024 - [c135]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Editing Partially Observable Networks via Graph Diffusion Models. ICML 2024 - [c134]Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy:
Continuous Treatment Effects with Surrogate Outcomes. ICML 2024 - [c133]Minh Nguyen, Franck Dernoncourt, Seunghyun Yoon, Hanieh Deilamsalehy, Hao Tan, Ryan A. Rossi, Quan Hung Tran, Trung Bui, Thien Huu Nguyen:
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models. INTERSPEECH 2024 - [c132]Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao:
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. NAACL-HLT (Findings) 2024: 4597-4612 - [c131]Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li:
Hallucination Diversity-Aware Active Learning for Text Summarization. NAACL-HLT 2024: 8665-8677 - [c130]Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra, Ryan A. Rossi, Manav Doshi, Vibhor Porwal, Syam Manoj Kumar Paila:
ScaleViz: Scaling Visualization Recommendation Models on Large Data. PAKDD (5) 2024: 93-104 - [c129]Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry:
Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. PAKDD (6) 2024: 201-212 - [c128]Yu Fu, Shunan Guo, Jane Hoffswell, Victor S. Bursztyn, Ryan A. Rossi, John T. Stasko:
"The Data Says Otherwise" - Towards Automated Fact-checking and Communication of Data Claims. UIST 2024: 134:1-134:20 - [c127]Luke S. Snyder, Ryan A. Rossi, Eunyee Koh, Jeffrey Heer, Jane Hoffswell:
Interaction Techniques for Exploratory Data Visualization on Mobile Devices. EuroVis (Short Papers) 2024 - [c126]Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami:
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. WWW (Companion Volume) 2024: 497-500 - [c125]Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li:
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. WWW 2024: 4059-4070 - [i147]Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang:
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. CoRR abs/2401.15555 (2024) - [i146]Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy:
Continuous Treatment Effects with Surrogate Outcomes. CoRR abs/2402.00168 (2024) - [i145]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt:
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. CoRR abs/2402.01981 (2024) - [i144]Harshita Chopra, Atanu R. Sinha, Sunav Choudhary, Ryan A. Rossi, Paavan Kumar Indela, Veda Pranav Parwatala, Srinjayee Paul, Aurghya Maiti:
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint. CoRR abs/2402.03388 (2024) - [i143]Younghun Lee, Sungchul Kim, Tong Yu, Ryan A. Rossi, Xiang Chen:
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models. CoRR abs/2402.14195 (2024) - [i142]Xinyu Shi, Mingyu Liu, Ziqi Zhou, Ali Neshati, Ryan A. Rossi, Jian Zhao:
Exploring Interactive Color Palettes for Abstraction-Driven Exploratory Image Colorization. CoRR abs/2403.02202 (2024) - [i141]Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li:
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. CoRR abs/2403.07213 (2024) - [i140]Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed:
Forward Learning of Graph Neural Networks. CoRR abs/2403.11004 (2024) - [i139]Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao K. Huang:
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CoRR abs/2403.17784 (2024) - [i138]Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos:
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. CoRR abs/2404.01578 (2024) - [i137]Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li:
Hallucination Diversity-Aware Active Learning for Text Summarization. CoRR abs/2404.01588 (2024) - [i136]Luke S. Snyder, Ryan A. Rossi, Eunyee Koh, Jeffrey Heer, Jane Hoffswell:
Interaction Techniques for Exploratory Data Visualization on Mobile Devices. CoRR abs/2404.11602 (2024) - [i135]Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan A. Rossi, Cherry Zhao, Vlad I. Morariu, Varun Manjunatha, Soheil Feizi:
On Mechanistic Knowledge Localization in Text-to-Image Generative Models. CoRR abs/2405.01008 (2024) - [i134]Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr:
Augmenting Textual Generation via Topology Aware Retrieval. CoRR abs/2405.17602 (2024) - [i133]Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr:
Large Generative Graph Models. CoRR abs/2406.05109 (2024) - [i132]Younghun Lee, Sungchul Kim, Ryan A. Rossi, Tong Yu, Xiang Chen:
Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data. CoRR abs/2407.02750 (2024) - [i131]Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui:
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs. CoRR abs/2407.04855 (2024) - [i130]Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu:
Causal Discovery-Driven Change Point Detection in Time Series. CoRR abs/2407.07290 (2024) - [i129]Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu:
Causal Discovery in Semi-Stationary Time Series. CoRR abs/2407.07291 (2024) - [i128]Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan A. Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Hamed Zamani:
LongLaMP: A Benchmark for Personalized Long-form Text Generation. CoRR abs/2407.11016 (2024) - [i127]Minh Nguyen, Franck Dernoncourt, Seunghyun Yoon, Hanieh Deilamsalehy, Hao Tan, Ryan A. Rossi, Quan Hung Tran, Trung Bui, Thien Huu Nguyen:
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models. CoRR abs/2407.12094 (2024) - [i126]Swetha Eppalapally, Daksh Dangi, Chaithra Bhat, Ankita Gupta, Ruiyi Zhang, Shubham Agarwal, Karishma Bagga, Seunghyun Yoon, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt:
KaPQA: Knowledge-Augmented Product Question-Answering. CoRR abs/2407.16073 (2024) - [i125]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Franck Dernoncourt, Tong Yu, Xiang Chen, Subrata Mitra, Nedim Lipka:
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback. CoRR abs/2408.02861 (2024) - [i124]Jian Chen, Ruiyi Zhang, Yufan Zhou, Ryan A. Rossi, Jiuxiang Gu, Changyou Chen:
MMR: Evaluating Reading Ability of Large Multimodal Models. CoRR abs/2408.14594 (2024) - [i123]Hanjia Lyu, Ryan A. Rossi, Xiang Chen, Md. Mehrab Tanjim, Stefano Petrangeli, Somdeb Sarkhel, Jiebo Luo:
X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation. CoRR abs/2408.15172 (2024) - [i122]Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park:
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. CoRR abs/2409.02361 (2024) - [i121]Yu Fu, Shunan Guo, Jane Hoffswell, Victor S. Bursztyn, Ryan A. Rossi, John T. Stasko:
"The Data Says Otherwise"-Towards Automated Fact-checking and Communication of Data Claims. CoRR abs/2409.10713 (2024) - [i120]Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka:
A Multi-LLM Debiasing Framework. CoRR abs/2409.13884 (2024) - [i119]Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley:
Visual Prompting in Multimodal Large Language Models: A Survey. CoRR abs/2409.15310 (2024) - [i118]Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong:
Federated Large Language Models: Current Progress and Future Directions. CoRR abs/2409.15723 (2024) - [i117]Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley:
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. CoRR abs/2410.13765 (2024) - [i116]Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka:
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. CoRR abs/2410.16400 (2024) - [i115]Chien Van Nguyen, Huy Huu Nguyen, Thang M. Pham, Ruiyi Zhang, Hanieh Deilamsalehy, Puneet Mathur, Ryan A. Rossi, Trung Bui, Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen:
Taipan: Efficient and Expressive State Space Language Models with Selective Attention. CoRR abs/2410.18572 (2024) - [i114]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, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen:
A Survey of Small Language Models. CoRR abs/2410.20011 (2024) - [i113]Reuben Luera, Ryan A. Rossi, Alexa F. Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Jian Zhao, Samyadeep Basu, Puneet Mathur, Nedim Lipka:
Survey of User Interface Design and Interaction Techniques in Generative AI Applications. CoRR abs/2410.22370 (2024) - [i112]Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. CoRR abs/2411.00027 (2024) - [i111]Anish Pahilajani, Devasha Trivedi, Jincen Shuai, Khin S. Yone, Samyak Rajesh Jain, Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Franck Dernoncourt, Yu Wang:
GRS-QA - Graph Reasoning-Structured Question Answering Dataset. CoRR abs/2411.00369 (2024) - [i110]Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun:
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. CoRR abs/2411.01106 (2024) - [i109]Dang Nguyen, Viet Dac Lai, Seunghyun Yoon, Ryan A. Rossi, Handong Zhao, Ruiyi Zhang, Puneet Mathur, Nedim Lipka, Yu Wang, Trung Bui, Franck Dernoncourt, Tianyi Zhou:
DynaSaur: Large Language Agents Beyond Predefined Actions. CoRR abs/2411.01747 (2024) - [i108]Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra:
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement. CoRR abs/2411.05199 (2024) - [i107]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:
Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text. CoRR abs/2411.07451 (2024) - [i106]Seon Gyeom Kim, Juhyeong Park, Yutaek Song, Donggun Lee, Yubin Lee, Ryan A. Rossi, Jane Hoffswell, Eunyee Koh, Tak Yeon Lee:
Understanding the Impact of Spatial Immersion in Web Data Stories. CoRR abs/2411.18049 (2024) - [i105]Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra, Ryan A. Rossi, Manav Doshi, Vibhor Porwal, Syam Manoj Kumar Paila:
ScaleViz: Scaling Visualization Recommendation Models on Large Data. CoRR abs/2411.18657 (2024) - [i104]Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley:
Personalized Multimodal Large Language Models: A Survey. CoRR abs/2412.02142 (2024) - [i103]Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong:
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (2024) - [i102]Manan Suri, Puneet Mathur, Franck Dernoncourt, Kanika Goswami, Ryan A. Rossi, Dinesh Manocha:
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation. CoRR abs/2412.10704 (2024) - [i101]Tiankai Yang, Yi Nian, Shawn Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan A. Rossi, Kaize Ding, Xiaohu You, Yue Zhao:
AD-LLM: Benchmarking Large Language Models for Anomaly Detection. CoRR abs/2412.11142 (2024) - [i100]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:
Numerical Pruning for Efficient Autoregressive Models. CoRR abs/2412.12441 (2024) - [i99]Zihao Lin, Zichao Wang, Yuanting Pan, Varun Manjunatha, Ryan A. Rossi, Angela Lau, Lifu Huang, Tong Sun:
Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. CoRR abs/2412.12445 (2024) - [i98]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, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt:
GUI Agents: A Survey. CoRR abs/2412.13501 (2024) - [i97]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:
Multi-LLM Text Summarization. CoRR abs/2412.15487 (2024) - 2023
- [j27]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Probabilistic Time-series Forecasting. ACM Trans. Knowl. Discov. Data 17(2): 26:1-26:30 (2023) - [j26]Abhraneel Sarma, Shunan Guo, Jane Hoffswell, Ryan A. Rossi, Fan Du, Eunyee Koh, Matthew Kay:
Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots. IEEE Trans. Vis. Comput. Graph. 29(1): 602-612 (2023) - [c124]Pattara Sukprasert, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Fan Du, Eunyee Koh:
Discovery and Matching Numerical Attributes in Data Lakes. IEEE Big Data 2023: 423-432 - [c123]Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. IEEE Big Data 2023: 542-547 - [c122]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Hypergraph Neural Networks for Time-series Forecasting. IEEE Big Data 2023: 1076-1080 - [c121]Alex Tang, Gromit Chan, Ryan A. Rossi, Chang Xiao, Eunyee Koh:
Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation. IEEE Big Data 2023: 1539-1543 - [c120]Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh, Fan Du, Ryan A. Rossi:
PersonaSAGE: A Multi-Persona Graph Neural Network. IEEE Big Data 2023: 1657-1666 - [c119]Gaurav Gupta, Anup B. Rao, Tung Mai, Ryan A. Rossi, Xiang Chen, Saayan Mitra, Anshumali Shrivastava:
Near Neighbor Search for Constraint Queries. IEEE Big Data 2023: 1707-1715 - [c118]Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao:
Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types. IEEE Big Data 2023: 1716-1725 - [c117]Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao:
Interpretable Unsupervised Log Anomaly Detection. IEEE Big Data 2023: 1899-1902 - [c116]Jianjun Luo, Ryan A. Rossi, Xiangnan Kong, Yanhua Li:
Multi-Item Continuous Influence Maximization. IEEE Big Data 2023: 5282-5291 - [c115]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:
DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. IEEE Big Data 2023: 5305-5310 - [c114]Brodrick Stigall, Ryan A. Rossi, Jane Hoffswell, Xiang Chen, Shunan Guo, Fan Du, Eunyee Koh, Kelly Caine:
On Chatbots for Visual Exploratory Data Analysis. IEEE Big Data 2023: 5924-5929 - [c113]Xinyu Shi, Ziqi Zhou, Jing Wen Zhang, Ali Neshati, Anjul Kumar Tyagi, Ryan A. Rossi, Shunan Guo, Fan Du, Jian Zhao:
De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation. CHI 2023: 122:1-122:19 - [c112]Enyu Cai, Ryan A. Rossi, Chang Xiao:
Improving Learning-based Camera Pose Estimation for Image-based Augmented Reality Applications. CHI Extended Abstracts 2023: 174:1-174:6 - [c111]Arpit Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, Shamkant B. Navathe, Alex Endert:
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. CHI 2023: 809:1-809:18 - [c110]Harshita Chopra, Atanu R. Sinha, Sunav Choudhary, Ryan A. Rossi, Paavan Kumar Indela, Veda Pranav Parwatala, Srinjayee Paul, Aurghya Maiti:
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint. CIKM 2023: 359-368 - [c109]Jianna So, Nedim Lipka, Alexa F. Siu, Ryan A. Rossi, Franck Dernoncourt:
How Small Businesses Transform PDF Agreements into Action. CSCW Companion 2023: 177-181 - [c108]Viet Dac Lai, Chien Van Nguyen, Nghia Trung Ngo, Thuat Nguyen, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen:
Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback. EMNLP (Demos) 2023: 318-327 - [c107]Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova:
Learning the Visualness of Text Using Large Vision-Language Models. EMNLP 2023: 2394-2408 - [c106]Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao Kenneth Huang:
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. EMNLP (Findings) 2023: 5464-5474 - [c105]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. ICLR 2023 - [c104]Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. ICLR 2023 - [c103]Mohammad Mehrabi, Ryan A. Rossi:
A Model-free Closeness-of-influence Test for Features in Supervised Learning. ICML 2023: 24304-24324 - [c102]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:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. INLG 2023: 80-92 - [c101]Yang Li, Gang Wu, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Viswanathan Swaminathan:
Active Context Modeling for Efficient Image and Burst Compression. ISM 2023: 89-94 - [c100]Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li:
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. KDD 2023: 2694-2704 - [c99]Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco:
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings. NeurIPS 2023 - [c98]Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu:
Causal Discovery in Semi-Stationary Time Series. NeurIPS 2023 - [c97]Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos:
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. NeurIPS 2023 - [c96]Jean-Peïc Chou, Alexa Fay Siu, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Maneesh Agrawala:
TaleStream: Supporting Story Ideation with Trope Knowledge. UIST 2023: 52:1-52:12 - [c95]Chen Chen, Jane Hoffswell, Shunan Guo, Ryan A. Rossi, Yeuk-Yin Chan, Fan Du, Eunyee Koh, Zhicheng Liu:
WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks. VL/HCC 2023: 209-214 - [c94]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed:
A ML-based Approach for HTML-based Style Recommendation. WWW (Companion Volume) 2023: 9-13 - [c93]Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park:
On Graph Time-Series Representations for Temporal Networks. WWW (Companion Volume) 2023: 14-18 - [c92]Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao:
SpotLight: Visual Insight Recommendation. WWW (Companion Volume) 2023: 19-23 - [c91]Md Main Uddin Rony, Fan Du, Ryan A. Rossi, Jane Hoffswell, Niyati Chhaya, Iftikhar Ahamath Burhanuddin, Eunyee Koh:
Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making. WWW (Companion Volume) 2023: 77-81 - [i96]Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, Clyde Lee Giles, Ting-Hao Kenneth Huang:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. CoRR abs/2302.12324 (2023) - [i95]Arpit Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, Shamkant B. Navathe, Alex Endert:
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. CoRR abs/2303.01575 (2023) - [i94]Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao:
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. CoRR abs/2303.15652 (2023) - [i93]Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova:
Learning the Visualness of Text Using Large Vision-Language Models. CoRR abs/2305.10434 (2023) - [i92]Mohammad Mehrabi, Ryan A. Rossi:
A Model-free Closeness-of-influence Test for Features in Supervised Learning. CoRR abs/2306.11855 (2023) - [i91]April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed:
Fairness-Aware Graph Neural Networks: A Survey. CoRR abs/2307.03929 (2023) - [i90]Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor S. Bursztyn, Nikos Vlassis, Ryan A. Rossi:
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. CoRR abs/2307.10867 (2023) - [i89]Viet Dac Lai, Chien Van Nguyen, Nghia Trung Ngo, Thuat Nguyen, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen:
Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback. CoRR abs/2307.16039 (2023) - [i88]Hyeok Kim, Ryan A. Rossi, Jessica Hullman, Jane Hoffswell:
Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. CoRR abs/2308.05136 (2023) - [i87]Chen Chen, Jane Hoffswell, Shunan Guo, Ryan A. Rossi, Gromit Yeuk-Yin Chan, Fan Du, Eunyee Koh, Zhicheng Liu:
WHATSNEXT: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks. CoRR abs/2308.09802 (2023) - [i86]Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. CoRR abs/2308.11730 (2023) - [i85]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. CoRR abs/2309.00770 (2023) - [i84]Jean-Peïc Chou, Alexa F. Siu, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Maneesh Agrawala:
TaleStream: Supporting Story Ideation with Trope Knowledge. CoRR abs/2309.03790 (2023) - [i83]Jon Saad-Falcon, Joe Barrow, Alexa F. Siu, Ani Nenkova, Ryan A. Rossi, Franck Dernoncourt:
PDFTriage: Question Answering over Long, Structured Documents. CoRR abs/2309.08872 (2023) - [i82]Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, Hieu Man, Nghia Trung Ngo, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen:
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages. CoRR abs/2309.09400 (2023) - [i81]Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang:
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. CoRR abs/2310.13227 (2023) - [i80]Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao K. Huang:
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. CoRR abs/2310.15405 (2023) - [i79]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR abs/2311.17856 (2023) - 2022
- [j25]Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry:
Role-Based Graph Embeddings. IEEE Trans. Knowl. Data Eng. 34(5): 2401-2415 (2022) - [j24]Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman:
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. IEEE Trans. Vis. Comput. Graph. 28(1): 129-139 (2022) - [j23]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed:
Personalized Visualization Recommendation. ACM Trans. Web 16(3): 11:1-11:47 (2022) - [c90]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. IEEE Big Data 2022: 812-817 - [c89]Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell:
Cicero: A Declarative Grammar for Responsive Visualization. CHI 2022: 600:1-600:15 - [c88]Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi:
AutoForecast: Automatic Time-Series Forecasting Model Selection. CIKM 2022: 5-14 - [c87]Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang:
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. CIKM 2022: 727-736 - [c86]Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. CIKM 2022: 3694-3704 - [c85]Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. CIKM 2022: 4364-4368 - [c84]Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar:
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. EMNLP 2022: 360-374 - [c83]Zhuohao Zhang, Sana Malik, Shunan Guo, Jane Hoffswell, Ryan A. Rossi, Fan Du, Eunyee Koh:
Understanding Business Analysts' Needs for Data Report Authoring. EuroVA@EuroVis 2022: 31-35 - [c82]Zhuohao Zhang, Sana Malik, Shunan Guo, Jane Hoffswell, Ryan A. Rossi, Fan Du, Eunyee Koh:
CODAS: Integrating Business Analytics and Report Authoring. EuroVA@EuroVis 2022: 67-71 - [c81]Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. ICML 2022: 18463-18482 - [c80]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. ICWSM 2022: 1109-1120 - [c79]Weixin Jiang, Gang Wu, Viswanathan Swaminathan, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Nedim Lipka:
Task-Oriented Near-Lossless Burst Compression. ISM 2022: 257-260 - [c78]Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu:
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD 2022: 1401-1409 - [c77]Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu:
Neural Point Process for Learning Spatiotemporal Event Dynamics. L4DC 2022: 777-789 - [c76]Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover:
CyCLIP: Cyclic Contrastive Language-Image Pretraining. NeurIPS 2022 - [c75]Chang Xiao, Ryan A. Rossi, Eunyee Koh:
iMarker: Instant and True-to-scale AR with Invisible Markers. UIST (Adjunct Volume) 2022: 32:1-32:3 - [c74]Beleicia Bullock, Shunan Guo, Eunyee Koh, Ryan A. Rossi, Fan Du, Jane Hoffswell:
Let's Get Personal: Exploring the Design of Personalized Visualizations. IEEE VIS (Short Papers) 2022: 85-89 - [c73]Bingjie Xu, Shunan Guo, Eunyee Koh, Jane Hoffswell, Ryan A. Rossi, Fan Du:
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization. IEEE VIS (Short Papers) 2022: 120-124 - [c72]Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
On Generalizing Static Node Embedding to Dynamic Settings. WSDM 2022: 410-420 - [c71]Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. WWW 2022: 1115-1126 - [c70]Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh:
VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. WWW 2022: 2810-2818 - [i78]Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell:
Cicero: A Declarative Grammar for Responsive Visualization. CoRR abs/2203.08314 (2022) - [i77]Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering for Community Detection and Tracking. CoRR abs/2204.08504 (2022) - [i76]Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover:
CyCLIP: Cyclic Contrastive Language-Image Pretraining. CoRR abs/2205.14459 (2022) - [i75]Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. CoRR abs/2206.03635 (2022) - [i74]Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. CoRR abs/2206.09280 (2022) - [i73]Bingjie Xu, Shunan Guo, Eunyee Koh, Jane Hoffswell, Ryan A. Rossi, Fan Du:
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization. CoRR abs/2207.07643 (2022) - [i72]Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. CoRR abs/2208.09076 (2022) - [i71]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. CoRR abs/2210.00032 (2022) - [i70]Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar:
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. CoRR abs/2211.02646 (2022) - [i69]April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed:
Graph Learning with Localized Neighborhood Fairness. CoRR abs/2212.12040 (2022) - [i68]Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh, Fan Du, Ryan A. Rossi:
PersonaSAGE: A Multi-Persona Graph Neural Network. CoRR abs/2212.13709 (2022) - [i67]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Chan, Eunyee Koh, Nesreen K. Ahmed:
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. CoRR abs/2212.14077 (2022) - 2021
- [j22]John Boaz Lee, Giang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Dynamic Node Embeddings From Edge Streams. IEEE Trans. Emerg. Top. Comput. Intell. 5(6): 931-946 (2021) - [j21]Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. ACM Trans. Knowl. Discov. Data 15(1): 9:1-9:43 (2021) - [j20]Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi:
Online Sampling of Temporal Networks. ACM Trans. Knowl. Discov. Data 15(4): 59:1-59:27 (2021) - [c69]Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra:
Graph Neural Networks with Heterophily. AAAI 2021: 11168-11176 - [c68]Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. ACL/IJCNLP (Findings) 2021: 4038-4051 - [c67]Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King, Sheng Li:
A Framework for Knowledge-Derived Query Suggestions. IEEE BigData 2021: 510-518 - [c66]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry:
Context Integrated Relational Spatio-Temporal Resource Forecasting. IEEE BigData 2021: 1359-1368 - [c65]Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. CIKM 2021: 1386-1395 - [c64]Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. CIKM 2021: 4085-4093 - [c63]Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora:
Machine Unlearning via Algorithmic Stability. COLT 2021: 4126-4142 - [c62]Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR 2021 - [c61]Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup B. Rao, Tung Mai:
Fundamental Tradeoffs in Distributionally Adversarial Training. ICML 2021: 7544-7554 - [c60]Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher:
Asymptotics of Ridge Regression in Convolutional Models. ICML 2021: 9265-9275 - [c59]Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, Saayan Mitra, Viswanathan Swaminathan, Ryan A. Rossi, Ali Aminian, Han Guo, Kshitiz Garg:
Open-Domain Trending Hashtag Recommendation for Videos. ISM 2021: 174-181 - [c58]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. KDD 2021: 106-116 - [c57]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan:
Learning to Recommend Visualizations from Data. KDD 2021: 1359-1369 - [c56]Gromit Yeuk-Yin Chan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Fan Du, Cláudio T. Silva, Juliana Freire:
Interactive Audience Expansion On Large Scale Online Visitor Data. KDD 2021: 2621-2631 - [c55]Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan:
EXACTA: Explainable Column Annotation. KDD 2021: 3775-3785 - [c54]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT 2021: 2767-2776 - [c53]Yue Zhao, Ryan A. Rossi, Leman Akoglu:
Automatic Unsupervised Outlier Model Selection. NeurIPS 2021: 4489-4502 - [c52]Hongchang Gao, Gang Wu, Ryan A. Rossi:
Provable Distributed Stochastic Gradient Descent with Delayed Updates. SDM 2021: 441-449 - [c51]Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan A. Rossi, Sana Malik, Tak Yeon Lee:
Generating Accurate Caption Units for Figure Captioning. WWW 2021: 2792-2804 - [i66]Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup Rao, Tung Mai:
Fundamental Tradeoffs in Distributionally Adversarial Training. CoRR abs/2101.06309 (2021) - [i65]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed:
Personalized Visualization Recommendation. CoRR abs/2102.06343 (2021) - [i64]Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora:
Machine Unlearning via Algorithmic Stability. CoRR abs/2102.13179 (2021) - [i63]Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher:
Asymptotics of Ridge Regression in Convolutional Models. CoRR abs/2103.04557 (2021) - [i62]Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao:
Insight-centric Visualization Recommendation. CoRR abs/2103.11297 (2021) - [i61]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR abs/2104.04909 (2021) - [i60]Tung Mai, Anup B. Rao, Ryan A. Rossi, Saeed Seddighin:
Optimal Space and Time for Streaming Pattern Matching. CoRR abs/2107.04660 (2021) - [i59]Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman:
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. CoRR abs/2107.08141 (2021) - [i58]Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. CoRR abs/2108.10248 (2021) - [i57]Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco:
An Interpretable Graph Generative Model with Heterophily. CoRR abs/2111.03030 (2021) - [i56]Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. CoRR abs/2111.14674 (2021) - [i55]Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu:
Neural Point Process for Learning Spatiotemporal Event Dynamics. CoRR abs/2112.06351 (2021) - 2020
- [j19]Hoda Eldardiry, Jennifer Neville, Ryan A. Rossi:
Ensemble Learning for Relational Data. J. Mach. Learn. Res. 21: 49:1-49:37 (2020) - [j18]Ryan A. Rossi, Nesreen K. Ahmed:
Correction to: Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 10(1): 19 (2020) - [j17]Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications. ACM Trans. Knowl. Discov. Data 14(5): 63:1-63:37 (2020) - [j16]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Inductive Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 32(3): 438-452 (2020) - [c50]Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. ICML 2020: 7521-7531 - [c49]Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh:
Higher-order Clustering in Complex Heterogeneous Networks. KDD 2020: 25-35 - [c48]Alireza Farhadi, Mohammad Taghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi:
Approximate Maximum Matching in Random Streams. SODA 2020: 1773-1785 - [c47]Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi:
Figure Captioning with Relation Maps for Reasoning. WACV 2020: 1526-1534 - [c46]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori:
A Structural Graph Representation Learning Framework. WSDM 2020: 483-491 - [c45]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Fast Hierarchical Graph Clustering in Linear-Time. WWW (Companion Volume) 2020: 10-12 - [c44]Ryan A. Rossi, Anup Rao, Tung Mai, Nesreen K. Ahmed:
Fast and Accurate Estimation of Typed Graphlets. WWW (Companion Volume) 2020: 32-34 - [c43]Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed:
From Closing Triangles to Closing Higher-Order Motifs. WWW (Companion Volume) 2020: 42-43 - [c42]Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cláudio T. Silva, Juliana Freire:
Real-Time Clustering for Large Sparse Online Visitor Data. WWW 2020: 1049-1059 - [i54]Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Inferring Individual Level Causal Models from Graph-based Relational Time Series. CoRR abs/2001.05993 (2020) - [i53]Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. CoRR abs/2007.06202 (2020) - [i52]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. CoRR abs/2009.09961 (2020) - [i51]Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
From Static to Dynamic Node Embeddings. CoRR abs/2009.10017 (2020) - [i50]Yue Zhao, Ryan A. Rossi, Leman Akoglu:
Automating Outlier Detection via Meta-Learning. CoRR abs/2009.10606 (2020) - [i49]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan:
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data. CoRR abs/2009.12316 (2020) - [i48]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry:
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting. CoRR abs/2009.12469 (2020) - [i47]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. CoRR abs/2009.12681 (2020) - [i46]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction. CoRR abs/2009.12683 (2020) - [i45]Jiong Zhu, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra:
Graph Neural Networks with Heterophily. CoRR abs/2009.13566 (2020) - [i44]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Forecasting. CoRR abs/2010.07373 (2020) - [i43]Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR abs/2010.12872 (2020) - [i42]Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. CoRR abs/2010.12873 (2020) - [i41]Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. CoRR abs/2010.14058 (2020)
2010 – 2019
- 2019
- [j15]Ryan A. Rossi, Nesreen K. Ahmed:
Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 9(1): 51:1-51:13 (2019) - [j14]John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. ACM Trans. Knowl. Discov. Data 13(6): 62:1-62:25 (2019) - [j13]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Estimation of Graphlet Counts in Massive Networks. IEEE Trans. Neural Networks Learn. Syst. 30(1): 44-57 (2019) - [c41]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Graph Convolutional Networks with Motif-based Attention. CIKM 2019: 499-508 - [c40]Youngsuk Park, Kanak Mahadik, Ryan A. Rossi, Gang Wu, Handong Zhao:
Linear Quadratic Regulator for Resource-Efficient Cloud Services. SoCC 2019: 488-489 - [c39]Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Neural caption generation over figures. UbiComp/ISWC Adjunct 2019: 482-485 - [c38]Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra:
Latent Network Summarization: Bridging Network Embedding and Summarization. KDD 2019: 987-997 - [c37]Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra:
node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching. ECML/PKDD (1) 2019: 483-506 - [c36]Tung Mai, Anup Rao, Matt Kapilevich, Ryan A. Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha:
On Densification for Minwise Hashing. UAI 2019: 831-840 - [c35]Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh:
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. WSDM 2019: 663-671 - [i40]Vanishree Rao, Yunhui Long, Hoda Eldardiry, Shantanu Rane, Ryan A. Rossi, Frank Torres:
Secure Two-Party Feature Selection. CoRR abs/1901.00832 (2019) - [i39]Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Network Motifs. CoRR abs/1901.10026 (2019) - [i38]John Boaz Lee, Giang Hoang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Temporal Network Representation Learning. CoRR abs/1904.06449 (2019) - [i37]Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra:
node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching. CoRR abs/1904.08572 (2019) - [i36]Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Figure Captioning with Reasoning and Sequence-Level Training. CoRR abs/1906.02850 (2019) - [i35]Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. CoRR abs/1906.05059 (2019) - [i34]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Linear-time Hierarchical Community Detection. CoRR abs/1906.06432 (2019) - [i33]Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
From Community to Role-based Graph Embeddings. CoRR abs/1908.08572 (2019) - [i32]Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi:
Temporal Network Sampling. CoRR abs/1910.08657 (2019) - [i31]Alireza Farhadi, MohammadTaghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi:
Approximate Maximum Matching in Random Streams. CoRR abs/1912.10497 (2019) - 2018
- [j12]Ryan A. Rossi, Rong Zhou:
GraphZIP: a clique-based sparse graph compression method. J. Big Data 5: 10 (2018) - [j11]Ryan A. Rossi:
Relational time series forecasting. Knowl. Eng. Rev. 33: e1 (2018) - [j10]Ryan A. Rossi, Nesreen K. Ahmed, Rong Zhou, Hoda Eldardiry:
Interactive Visual Graph Mining and Learning. ACM Trans. Intell. Syst. Technol. 9(5): 59:1-59:25 (2018) - [c34]Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Dynamic Network Embeddings: From Random Walks to Temporal Random Walks. IEEE BigData 2018: 1085-1092 - [c33]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed, Hoda Eldardiry:
Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs. IEEE BigData 2018: 1807-1816 - [c32]Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu:
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. CIKM 2018: 2175-2182 - [c31]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
Interactive Higher-Order Network Analysis. ICDM Workshops 2018: 1441-1446 - [c30]Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou:
Similarity-based Multi-label Learning. IJCNN 2018: 1-8 - [c29]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong:
Graph Classification using Structural Attention. KDD 2018: 1666-1674 - [c28]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
Higher-order Network Representation Learning. WWW (Companion Volume) 2018: 3-4 - [c27]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Inductive Network Representation Learning. WWW (Companion Volume) 2018: 953-960 - [c26]Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Continuous-Time Dynamic Network Embeddings. WWW (Companion Volume) 2018: 969-976 - [i30]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
HONE: Higher-Order Network Embeddings. CoRR abs/1801.09303 (2018) - [i29]Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry:
Learning Role-based Graph Embeddings. CoRR abs/1802.02896 (2018) - [i28]John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. CoRR abs/1807.07984 (2018) - [i27]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Higher-order Graph Convolutional Networks. CoRR abs/1809.07697 (2018) - [i26]Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh:
Higher-order Spectral Clustering for Heterogeneous Graphs. CoRR abs/1810.02959 (2018) - [i25]Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao:
Bridging Network Embedding and Graph Summarization. CoRR abs/1811.04461 (2018) - 2017
- [j9]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield, Theodore L. Willke:
Graphlet decomposition: framework, algorithms, and applications. Knowl. Inf. Syst. 50(3): 689-722 (2017) - [j8]Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. Proc. VLDB Endow. 10(11): 1430-1441 (2017) - [c25]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
A Higher-Order Latent Space Network Model. AAAI Workshops 2017 - [c24]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
Edge Role Discovery via Higher-Order Structures. PAKDD (1) 2017: 291-303 - [i24]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Estimation of Graphlet Statistics. CoRR abs/1701.01772 (2017) - [i23]Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. CoRR abs/1703.02625 (2017) - [i22]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Feature Learning for Graphs. CoRR abs/1704.08829 (2017) - [i21]James P. Canning, Emma E. Ingram, Sammantha Nowak-Wolff, Adriana M. Ortiz, Nesreen K. Ahmed, Ryan A. Rossi, Karl Robert Bruce Schmitt, Sucheta Soundarajan:
Network Classification and Categorization. CoRR abs/1709.04481 (2017) - [i20]Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry:
A Framework for Generalizing Graph-based Representation Learning Methods. CoRR abs/1709.04596 (2017) - [i19]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong:
Deep Graph Attention Model. CoRR abs/1709.06075 (2017) - [i18]Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry:
Representation Learning in Large Attributed Graphs. CoRR abs/1710.09471 (2017) - [i17]Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou:
Similarity-based Multi-label Learning. CoRR abs/1710.10335 (2017) - 2016
- [j7]Ryan A. Rossi, Rong Zhou:
Parallel collective factorization for modeling large heterogeneous networks. Soc. Netw. Anal. Min. 6(1): 67:1-67:30 (2016) - [c23]Ryan A. Rossi, Rong Zhou:
Toward Interactive Relational Learning. AAAI 2016: 4383-4384 - [c22]Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi:
Estimation of local subgraph counts. IEEE BigData 2016: 586-595 - [c21]Ryan A. Rossi, Rong Zhou:
Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks. CIKM 2016: 1783-1792 - [c20]Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi:
Exact and Estimation of Local Edge-centric Graphlet Counts. BigMine 2016: 1-17 - [i16]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Relational Similarity Machines. CoRR abs/1608.00876 (2016) - [i15]Ryan A. Rossi, Rong Zhou:
Hybrid CPU-GPU Framework for Network Motifs. CoRR abs/1608.05138 (2016) - [i14]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
Revisiting Role Discovery in Networks: From Node to Edge Roles. CoRR abs/1610.00844 (2016) - 2015
- [j6]Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin:
Parallel Maximum Clique Algorithms with Applications to Network Analysis. SIAM J. Sci. Comput. 37(5) (2015) - [j5]Ryan A. Rossi, Nesreen K. Ahmed:
An Interactive Data Repository with Visual Analytics. SIGKDD Explor. 17(2): 37-41 (2015) - [j4]Ryan A. Rossi, Nesreen K. Ahmed:
Role Discovery in Networks. IEEE Trans. Knowl. Data Eng. 27(4): 1112-1131 (2015) - [c19]Ryan A. Rossi, Nesreen K. Ahmed:
The Network Data Repository with Interactive Graph Analytics and Visualization. AAAI 2015: 4292-4293 - [c18]Ryan A. Rossi, Rong Zhou:
Scalable relational learning for large heterogeneous networks. DSAA 2015: 1-10 - [c17]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield:
Efficient Graphlet Counting for Large Networks. ICDM 2015: 1-10 - [c16]Nesreen Kamel Ahmed, Ryan Anthony Rossi:
Interactive Visual Graph Analytics on the Web. ICWSM 2015: 566-569 - [i13]Nesreen K. Ahmed, Ryan A. Rossi:
A Web-based Interactive Visual Graph Analytics Platform. CoRR abs/1502.00354 (2015) - [i12]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield:
Fast Parallel Graphlet Counting for Large Networks. CoRR abs/1506.04322 (2015) - 2014
- [j3]David F. Gleich, Ryan A. Rossi:
A Dynamical System for PageRank with Time-Dependent Teleportation. Internet Math. 10(1-2): 188-217 (2014) - [j2]Ryan A. Rossi, Nesreen K. Ahmed:
Coloring large complex networks. Soc. Netw. Anal. Min. 4(1): 228 (2014) - [c15]Ryan A. Rossi:
Fast Triangle Core Decomposition for Mining Large Graphs. PAKDD (1) 2014: 310-322 - [c14]Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary:
Fast maximum clique algorithms for large graphs. WWW (Companion Volume) 2014: 365-366 - [i11]Ryan A. Rossi, Nesreen K. Ahmed:
Coloring Large Complex Networks. CoRR abs/1403.3448 (2014) - [i10]Ryan A. Rossi, Nesreen K. Ahmed:
Role Discovery in Networks. CoRR abs/1405.7134 (2014) - [i9]Ryan A. Rossi, Nesreen K. Ahmed:
NetworkRepository: A Graph Data Repository with Visual Interactive Analytics. CoRR abs/1410.3560 (2014) - 2013
- [c13]Ryan A. Rossi, Sonia Fahmy, Nilothpal Talukder:
A multi-level approach for evaluating internet topology generators. Networking 2013: 1-9 - [c12]Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson:
Modeling dynamic behavior in large evolving graphs. WSDM 2013: 667-676 - [i8]Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary:
A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components. CoRR abs/1302.6256 (2013) - 2012
- [j1]Ryan A. Rossi, Luke K. McDowell, David William Aha, Jennifer Neville:
Transforming Graph Data for Statistical Relational Learning. J. Artif. Intell. Res. 45: 363-441 (2012) - [c11]Ryan A. Rossi, Jennifer Neville:
Time-Evolving Relational Classification and Ensemble Methods. PAKDD (1) 2012: 1-13 - [c10]Ryan A. Rossi, David F. Gleich:
Dynamic PageRank Using Evolving Teleportation. WAW 2012: 126-137 - [c9]Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson:
Role-dynamics: fast mining of large dynamic networks. WWW (Companion Volume) 2012: 997-1006 - [i7]Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson:
Role-Dynamics: Fast Mining of Large Dynamic Networks. CoRR abs/1203.2200 (2012) - [i6]Ryan A. Rossi, David F. Gleich:
Dynamic PageRank using Evolving Teleportation. CoRR abs/1203.6098 (2012) - [i5]Ryan A. Rossi, Luke K. McDowell, David W. Aha, Jennifer Neville:
Transforming Graph Representations for Statistical Relational Learning. CoRR abs/1204.0033 (2012) - [i4]Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson:
Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks. CoRR abs/1205.2056 (2012) - [i3]Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary:
What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks. CoRR abs/1210.5802 (2012) - [i2]David F. Gleich, Ryan A. Rossi:
A Dynamical System for PageRank with Time-Dependent Teleportation. CoRR abs/1211.4266 (2012) - 2011
- [i1]Ryan A. Rossi, Jennifer Neville:
Representations and Ensemble Methods for Dynamic Relational Classification. CoRR abs/1111.5312 (2011) - 2010
- [c8]Khawaja S. Shams, Mark W. Powell, Thomas M. Crockett, Jeffrey S. Norris, Ryan A. Rossi, Tom Söderström:
Polyphony: A Workflow Orchestration Framework for Cloud Computing. CCGRID 2010: 606-611 - [c7]Ryan A. Rossi, Jennifer Neville:
Modeling the evolution of discussion topics and communication to improve relational classification. SOMA@KDD 2010: 89-97
2000 – 2009
- 2009
- [c6]John W. Stamey, Ryan A. Rossi:
Automatically identifying relations in privacy policies. SIGDOC 2009: 233-238 - 2008
- [c5]Jean-Louis Lassez, Ryan A. Rossi, Kumar Jeev:
Ranking Links on the Web: Search and Surf Engines. IEA/AIE 2008: 199-208 - [c4]Jean-Louis Lassez, Ryan A. Rossi, Stephen J. Sheel, Srinivas Mukkamala:
Signature based intrusion detection using latent semantic analysis. IJCNN 2008: 1068-1074 - 2007
- [c3]Jean-Louis Lassez, Ryan A. Rossi, Axel E. Bernal:
Crick's Hypothesis Revisited: The Existence of a Universal Coding Frame. AINA Workshops (1) 2007: 745-751 - [c2]John W. Stamey, Jean-Louis Lassez, Daniel Boorn, Ryan A. Rossi:
Client-side dynamic metadata in web 2.0. SIGDOC 2007: 155-161
1980 – 1989
- 1989
- [c1]Daniel E. Platt, Ryan A. Rossi, J. W. Wells, J. Becker:
Realities associated with parallel processing. SC 1989: 162-174
Coauthor Index
Nesreen K. Ahmed
aka: Nesreen Kamel Ahmed
aka: Nesreen Kamel Ahmed
[j34] [c166] [c158] [i187] [i177] [i174] [i156] [i154] [i148] [j33] [j31] [j30] [c138] [c135] [i140] [i138] [i133] [i114] [i112] [i111] [i104] [i98] [i97] [c123] [c104] [c97] [c94] [c93] [i91] [i85] [i79] [j25] [j23] [c86] [c81] [c71] [i77] [i75] [i74] [i69] [i67] [j22] [j21] [j20] [c69] [c64] [i65] [i56] [j18] [j17] [j16] [c46] [c45] [c44] [c43] [i54] [i45] [i41] [j15] [j14] [j13] [i39] [i38] [i35] [i34] [i33] [i32] [j10] [c34] [c33] [c31] [c30] [c28] [c27] [c26] [i30] [i29] [i28] [j9] [j8] [c25] [c24] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [c22] [c20] [i16] [i14] [j5] [j4] [c19] [c17] [c16] [i13] [i12] [j2] [i11] [i10] [i9]
[j34] [c167] [c166] [c165] [c162] [c159] [c158] [c155] [c154] [c153] [i188] [i187] [i184] [i182] [i181] [i178] [i177] [i174] [i171] [i170] [i165] [i160] [i159] [i156] [i154] [i153] [i152] [i151] [i150] [i148] [j33] [j31] [c142] [c140] [c139] [c135] [c133] [i145] [i133] [i131] [i128] [i127] [i126] [i125] [i120] [i116] [i115] [i114] [i113] [i112] [i111] [i110] [i109] [i107] [i104] [i102] [i98] [i97] [c109] [c108] [c96] [i91] [i89] [i85] [i84] [i83] [i82] [i79] [c67]
[j36] [j34] [c163] [c162] [c161] [c160] [c156] [c155] [i186] [i185] [i183] [i180] [i179] [i175] [i174] [i171] [i163] [i157] [i150] [j33] [j32] [j31] [c151] [c149] [c148] [c146] [c141] [c135] [c132] [c131] [c129] [c126] [c125] [i147] [i145] [i143] [i141] [i139] [i137] [i132] [i122] [i120] [i119] [i118] [i117] [i116] [i114] [i113] [i112] [i107] [i104] [i98] [j27] [c122] [c117] [c106] [c105] [c102] [c100] [i96] [i94] [i91] [i90] [i85] [i80] [i79] [j23] [c88] [c87] [c85] [c78] [c72] [c71] [c70] [i77] [i72] [i71] [i69] [j22] [j21] [c68] [c65] [c64] [c62] [c58] [c57] [c55] [c54] [c51] [i65] [i61] [i58] [j17] [c47] [c46] [c45] [c43] [i51] [i49] [i44] [i43] [i42] [i41] [j14] [c41] [c39] [c38] [c35] [i39] [i38] [i36] [i35] [i34] [i33] [c34] [c32] [c26] [i28] [i27] [i25]
[c157] [i155] [j29] [c127] [i136] [i106] [j26] [c124] [c121] [c120] [c118] [c115] [c114] [c111] [c102] [c95] [c94] [c92] [c91] [i96] [i95] [i87] [j23] [c89] [c83] [c82] [c81] [c75] [c74] [c73] [c71] [c70] [i78] [i77] [i73] [i69] [i68] [i67] [j22] [j21] [c64] [c57] [c51] [i65] [i62] [i56] [c49] [c47] [c46] [c45] [c43] [c42] [i49] [i41] [j14] [c41] [c38] [c35] [i39] [i38] [i36] [i35] [i34] [c34] [c32] [c31] [c28] [c26] [i30] [i28] [i27] [i26] [i25]
[j34] [c169] [c162] [c155] [i174] [i170] [i159] [i153] [i152] [i151] [i150] [c152] [c145] [c144] [c135] [i134] [i128] [i126] [i125] [i120] [i116] [i114] [i113] [i112] [i109] [i107] [i104] [i97] [c109] [c105] [c99] [c96] [c94] [i86] [i84] [i79] [c81] [c79] [i71] [i69] [i67] [c69] [c68] [c67] [c62] [c54] [i61] [i57] [i56] [i45] [i43] [i42]
Alexa F. Siu
aka: Alexa Fay Siu
aka: Alexa Fay Siu
[j35] [j34] [c170] [c165] [c162] [c161] [c160] [c156] [c155] [i186] [i185] [i183] [i180] [i179] [i175] [i174] [i171] [i168] [i167] [i163] [i162] [i161] [i156] [i150] [j33] [j32] [j31] [c151] [c146] [c141] [c137] [c135] [c132] [c131] [c126] [c125] [i147] [i145] [i143] [i141] [i139] [i137] [i132] [i130] [i129] [i125] [i122] [i120] [i119] [i118] [i117] [i116] [i114] [i113] [i112] [i110] [i108] [i107] [i104] [i100] [i98] [c117] [c105] [c100] [c98] [i94] [i91] [i90] [i85] [i81] [i79] [c78] [i71] [c39] [i36]
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