Amr Ahmed
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
67
Venues
24
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*KDD11 papers
- A*WWW9 papers
- AWSDM8 papers
- A*ICML5 papers
- BICPR4 papers
- A*ICLR4 papers
- AAISTATS3 papers
- A*EMNLP3 papers
- AUAI3 papers
- CIC3K3 papers
- MulticonferenceSAC1 paper
- A*AAAI1 paper
- A*SIGMOD1 paper
- CISCAS1 paper
- BSSDBM1 paper
- A*OSDI1 paper
- A*ICDE1 paper
- A*IJCAI1 paper
- ACIKM1 paper
- BICONIP1 paper
- A*ECCV1 paper
- AISMB1 paper
- ASDM1 paper
- A*ICDM1 paper
Papers
67 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology. | Aasim Bin Saleem, Amr Ahmed, Ardhendu Behera, Hafeezullah Amin, Iman Yi Liao, Mahmoud Khattab, Jia-Wern Pan, Haslina Makmur |
| 2026 | SAC | Context-Aware Graph Neural Network for Skin Lesion Classification: Context-Aware GNN for Skin Lesion Classification. | Muhammad Azeem, Saqib Nazir, Amr Ahmed, Ardhendu Behera |
| 2025 | AISTATS | Fundamental Limits of Perfect Concept Erasure. | Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi |
| 2025 | ICLR | Linear Transformer Topological Masking with Graph Random Features. | Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F. Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, Ren Wagner, Adrian Weller, Krzysztof Marcin Choromanski |
| 2024 | EMNLP | Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. | Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ram, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Lonard Hussenot, Olivier Bachem, Edouard Leurent |
| 2024 | ICLR | Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. | Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi |
| 2024 | ICPR | Conditional Diffusion-Based Virtual Staining: A Promising Solution for Histopathological Image-to-Image Translation. | Xuanhe Er, Mahmoud Khattab, Iman Yi Liao, Amr Ahmed, Jia-Wern Pan, Haslina Makmur |
| 2023 | EMNLP | Unsupervised Opinion Summarization Using Approximate Geodesics. | Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi |
| 2022 | ICPR | Automatic Bowel Preparation Assessment Using Deep Learning. | Mahmood Haithami, Amr Ahmed, Iman Yi Liao, Hamid Abdullah Jalab |
| 2021 | AAAI | Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. | Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed |
| 2021 | AISTATS | Non-Stationary Off-Policy Optimization. | Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed |
| 2021 | AISTATS | DAG-Structured Clustering by Nearest Neighbors. | Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum |
| 2021 | ICLR | Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies. | Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed |
| 2021 | KDD | Scalable Hierarchical Agglomerative Clustering. | Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gkhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu |
| 2021 | KDD | Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization. | Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cdric Archambeau |
| 2021 | UAI | Exact and approximate hierarchical clustering using A. | Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum |
| 2020 | SIGMOD | Amazon SageMaker Autopilot: a white box AutoML solution at scale. | Piali Das, Nikita Ivkin, Tanya Bansal, Laurence Rouesnel, Philip Gautier, Zohar S. Karnin, Leo Dirac, Lakshmi Ramakrishnan, Andre Perunicic, Iaroslav Shcherbatyi, Wilton Wu, Aida Zolic, Huibin Shen, Amr Ahmed, Fela Winkelmolen, Miroslav Miladinovic, Cdric Archambeau, Alex Tang, Bhaskar Dutt, Patricia Grao, Kumar Venkateswar |
| 2019 | KDD | Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. | Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed |
| 2019 | WSDM | Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models. | Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee |
| 2018 | ISCAS | A Ring Amplifier Architecture for Continuous-Time Applications. | Amr Ahmed, Mohamed M. Aboudina, Faisal A. Hussien, Ahmed Nader Mohieldin |
| 2017 | ICLR | Joint Training of Ratings and Reviews with Recurrent Recommender Networks. | Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola |
| 2017 | ICML | Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data. | Manzil Zaheer, Amr Ahmed, Alexander J. Smola |
| 2017 | ICML | Canopy Fast Sampling with Cover Trees. | Manzil Zaheer, Satwik Kottur, Amr Ahmed, Jos M. F. Moura, Alexander J. Smola |
| 2017 | KDD | A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications. | Amr Ahmed, James Long, Daniel Silva, Yuan Wang |
| 2017 | WWW | Predicting Latent Structured Intents from Shopping Queries. | Chao-Yuan Wu, Amr Ahmed, Gowtham Ramani Kumar, Ritendra Datta |
| 2017 | WSDM | Recurrent Recommender Networks. | Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing |
| 2017 | SSDBM | SHRec: Scalable Holistic Recommendation. | Ahmed M. Aly, Moustafa A. Hammad, Amr Ahmed |
| 2016 | WWW | Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering. | Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola |
| 2015 | KDD | Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams. | Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song |
| 2015 | KDD | Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails. | Weinan Zhang, Amr Ahmed, Jie Yang, Vanja Josifovski, Alexander J. Smola |
| 2015 | WWW | ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly. | Alex Beutel, Amr Ahmed, Alexander J. Smola |
| 2015 | WSDM | Inferring Movement Trajectories from GPS Snippets. | Mu Li, Amr Ahmed, Alexander J. Smola |
| 2014 | IC3K | Text Analysis of User-Generated Contents for Health-care Applications - Case Study on Smoking Status Classification. | Deema Abdal Hafeth, Amr Ahmed, David Cobham |
| 2014 | ICPR | Compact Signature-Based Compressed Video Matching Using Dominant Color Profiles (DCP). | Saddam Bekhet, Amr Ahmed |
| 2014 | KDD | Reducing the sampling complexity of topic models. | Aaron Q. Li, Amr Ahmed, Sujith Ravi, Alexander J. Smola |
| 2014 | OSDI | Scaling Distributed Machine Learning with the Parameter Server. | Mu Li, David G. Andersen, Jun Woo Park, Alexander J. Smola, Amr Ahmed, Vanja Josifovski, James Long, Eugene J. Shekita, Bor-Yiing Su |
| 2014 | WSDM | Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising. | Amr Ahmed, Abhimanyu Das, Alexander J. Smola |
| 2014 | WSDM | Taxonomy discovery for personalized recommendation. | Yuchen Zhang, Amr Ahmed, Vanja Josifovski, Alexander J. Smola |
| 2013 | ICDE | Focused matrix factorization for audience selection in display advertising. | Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan |
| 2013 | ICML | Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling. | Amr Ahmed, Liangjie Hong, Alexander J. Smola |
| 2013 | IJCAI | Scalable Dynamic Nonparametric Bayesian Models of Content and Users. | Amr Ahmed, Eric P. Xing |
| 2013 | KDD | The dataminer's guide to scalable mixed-membership and nonparametric bayesian models. | Amr Ahmed, Alexander J. Smola |
| 2013 | WWW | Hierarchical geographical modeling of user locations from social media posts. | Amr Ahmed, Liangjie Hong, Alexander J. Smola |
| 2013 | WWW | Distributed large-scale natural graph factorization. | Amr Ahmed, Nino Shervashidze, Shravan M. Narayanamurthy, Vanja Josifovski, Alexander J. Smola |
| 2013 | WWW | Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts. | Vidhya Navalpakkam, LaDawn Jentzsch, Rory Sayres, Sujith Ravi, Amr Ahmed, Alexander J. Smola |
| 2013 | WSDM | Latent factor models with additive and hierarchically-smoothed user preferences. | Amr Ahmed, Bhargav Kanagal, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan |
| 2012 | CIKM | Web-scale multi-task feature selection for behavioral targeting. | Amr Ahmed, Mohamed Aly, Abhimanyu Das, Alexander J. Smola, Tasos Anastasakos |
| 2012 | ICONIP | Semantic Levels of Domain-Independent Commonsense Knowledgebase for Visual Indexing and Retrieval Applications. | Amjad AlTadmri, Amr Ahmed, Haytham Mohtasseb |
| 2012 | WWW | Discovering geographical topics in the twitter stream. | Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Alexander J. Smola, Kostas Tsioutsiouliklis |
| 2012 | UAI | Hokusai - Sketching Streams in Real Time. | Sergiy Matusevych, Alexander J. Smola, Amr Ahmed |
| 2012 | WSDM | Scalable inference in latent variable models. | Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan M. Narayanamurthy, Alexander J. Smola |
| 2012 | WSDM | Fair and balanced: learning to present news stories. | Amr Ahmed, Choon Hui Teo, S. V. N. Vishwanathan, Alexander J. Smola |
| 2011 | IC3K | PsychoNet 2 - Contextualized and Enriched Psycholinguistic Commonsense Ontology. | Haytham Mohtasseb, Amr Ahmed, Amjad AlTadmri, David Cobham |
| 2011 | ICML | Sparse Additive Generative Models of Text. | Jacob Eisenstein, Amr Ahmed, Eric P. Xing |
| 2011 | KDD | Scalable distributed inference of dynamic user interests for behavioral targeting. | Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola |
| 2011 | WWW | Unified analysis of streaming news. | Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo |
| 2011 | WWW | WWW 2011 invited tutorial overview: latent variable models on the internet. | Amr Ahmed, Alexander J. Smola |
| 2010 | EMNLP | Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective. | Amr Ahmed, Eric P. Xing |
| 2010 | IC3K | PsychoNet - A Psycholinguistc Commonsense Ontology. | Haytham Mohtasseb, Amr Ahmed |
| 2010 | UAI | Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream. | Amr Ahmed, Eric P. Xing |
| 2009 | ICML | MedLDA: maximum margin supervised topic models for regression and classification. | Jun Zhu, Amr Ahmed, Eric P. Xing |
| 2009 | KDD | Structured correspondence topic models for mining captioned figures in biological literature. | Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy |
| 2008 | ECCV | Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks. | Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xing |
| 2008 | ISMB | Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature. | Lus Pedro Coelho, Amr Ahmed, Andrew Arnold, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy |
| 2008 | KDD | Joint latent topic models for text and citations. | Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen |
| 2008 | SDM | Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering. | Amr Ahmed, Eric P. Xing |
| 2007 | ICDM | Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. | Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing |