Nesreen K. Ahmed
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
27
Active years
2012–2026
Best venue rank
A*
Where they publish
- A*WWW11 papers
- A*KDD5 papers
- A*ICLR4 papers
- ACIKM4 papers
- NationalRANLP3 papers
- A*AAAI3 papers
- A*ACL2 papers
- A*EMNLP2 papers
- ANAACL2 papers
- CPACLIC2 papers
- A*ICML2 papers
- AWSDM2 papers
- A*ICDM2 papers
- AEACL1 paper
- BLREC1 paper
- MulticonferenceICASSP1 paper
- A*ICCV1 paper
- AICS1 paper
- BEuroPar1 paper
- ASC1 paper
- ACGO1 paper
- ASDM1 paper
- A*IJCAI1 paper
- BIJCNN1 paper
- BCogSci1 paper
- BPAKDD1 paper
- AICWSM1 paper
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | LREC | Reasoning Graph-Structured Question Answering: Datasets and Insights from LLM Benchmarking. | Khin S. Yone, Devasha Trivedi, Anish Pahilajani, Jincen Shuai, Samyak Rajesh Jain, Ryan Rossi, Nesreen K. Ahmed, Franck Dernoncourt, Yu Wang, Namyong Park |
| 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 | 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 | EMNLP | AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists. | Yifei Li, Hanane Nour Moussa, Ziru Chen, Shijie Chen, Botao Yu, Mingyi Xue, Benjamin Burns, Tzu-Yao Chiu, Vishal Dey, Zitong Lu, Chen Wei, Qianheng Zhang, Tianyu Zhang, Song Gao, Xuhui Huang, Xia Ning, Nesreen K. Ahmed, Ali Payani, Huan Sun |
| 2025 | ICASSP | Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. | Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan |
| 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 | ICS | ConTraPh: Contrastive Learning for Parallelization and Performance Optimization. | Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Nesreen K. Ahmed, Theodore L. Willke, Ali Jannesari |
| 2025 | KDD | Machine Learning on Graphs in the Era of Generative Artificial Intelligence. | Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang |
| 2025 | NAACL | AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs. | Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Le Chen, Mihai Capota, Theodore L. Willke, Nesreen K. Ahmed, Ali Jannesari |
| 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 | 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 | PACLIC | Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition. | Mayank Bumb, Anshul Vemulapalli, Sri Harsha Vardhan Prasad Jella, Anish Gupta, An La, Ryan Rossi, Hongjie Chen, Franck Dernoncourt, Nesreen K. Ahmed, Yu Wang |
| 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 | 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 | Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance. | Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan |
| 2024 | EMNLP | Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. | Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun |
| 2024 | EuroPar | OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. | Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari |
| 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 | 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 | WSDM | The 5th International Workshop on Machine Learning on Graphs (MLoG). | Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed |
| 2023 | ICLR | Neural Compositional Rule Learning for Knowledge Graph Reasoning. | Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun |
| 2023 | ICLR | MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. | Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos |
| 2023 | KDD | Augmenting Recurrent Graph Neural Networks with a Cache. | Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed |
| 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 | On Graph Time-Series Representations for Temporal Networks. | Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park |
| 2022 | CIKM | Network Report: A Structured Description for Network Datasets. | Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz |
| 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 | WWW | Technology Growth Ranking Using Temporal Graph Representation Learning. | Daniel Cummings, Ashrita Brahmaroutu, Marcel Nassar, Nesreen K. Ahmed |
| 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 |
| 2021 | AAAI | Graph Neural Networks with Heterophily. | Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra |
| 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 | SC | DistGNN: scalable distributed training for large-scale graph neural networks. | Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha |
| 2020 | CGO | NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. | Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica |
| 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 | WSDM | A Structural Graph Representation Learning Framework. | Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori |
| 2020 | SDM | Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions. | John Boaz Lee, Xiangnan Kong, Constance M. Moore, Nesreen K. Ahmed |
| 2019 | CIKM | Deep Graph Similarity Learning for Brain Data Analysis. | Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu |
| 2018 | ICDM | Interactive Higher-Order Network Analysis. | Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh |
| 2018 | IJCAI | Sampling for Approximate Bipartite Network Projection. | Nesreen K. Ahmed, Nick G. Duffield, Liangzhen Xia |
| 2018 | IJCNN | Similarity-based Multi-label Learning. | Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou |
| 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 | CIKM | Stream Aggregation Through Order Sampling. | Nick G. Duffield, Yunhong Xu, Liangzhen Xia, Nesreen K. Ahmed, Minlan Yu |
| 2017 | CogSci | A Formal Approach to Modeling the Cost of Cognitive Control. | Kayhan zcimder, Biswadip Dey, Sebastian Musslick, Giovanni Petri, Nesreen K. Ahmed, Theodore L. Willke, Jonathan D. Cohen |
| 2017 | PAKDD | Edge Role Discovery via Higher-Order Structures. | Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, 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 | ICDM | Efficient Graphlet Counting for Large Networks. | Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield |
| 2014 | KDD | Graph sample and hold: a framework for big-graph analytics. | Nesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella |
| 2012 | ICWSM | Network Sampling Designs for Relational Classification. | Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella |
| 2012 | KDD | Space-efficient sampling from social activity streams. | Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella |