Neil Shah
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
101
Venues
26
Active years
2009–2026
Best venue rank
A*
Where they publish
- A*KDD18 papers
- A*ICLR12 papers
- ACIKM9 papers
- AWSDM7 papers
- A*SIGIR6 papers
- A*ICML6 papers
- A*WWW6 papers
- A*ACL5 papers
- AICWSM5 papers
- A*ICDM4 papers
- A*CHI3 papers
- BDSAA3 papers
- AInterspeech2 papers
- NationalAMIA2 papers
- BPAKDD2 papers
- A*CVPR1 paper
- A*AAAI1 paper
- CAIES1 paper
- BACNS1 paper
- BCOLING1 paper
- MulticonferenceICASSP1 paper
- ASDM1 paper
- CCLUSTER1 paper
- CDEXA1 paper
- A*ICDE1 paper
- BEuroPar1 paper
Papers
101 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MemRec: Collaborative Memory-Augmented Agentic Recommender System. | Weixin Chen, Yuhan Zhao, Jingyuan Huang, Zihe Ye, Mingxuan Ju, Tong Zhao, Neil Shah, Li Chen, Yongfeng Zhang |
| 2026 | ACL | Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. | Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao |
| 2026 | ACL | Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling. | Xingyue Huang, Xueying Ding, Mingxuan Ju, Yozen Liu, Neil Shah, Tong Zhao |
| 2026 | CHI | CLARIS: Clear and Intelligible Speech from Whispered and Dysarthric Voices. | Neil Shah, Yash Sonkar, Shirish Subhash Karande, Vineet Gandhi |
| 2026 | SIGIR | Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices. | Clark Mingxuan Ju, Tong Zhao, Leonardo Neves, Liam Collins, Bhuvesh Kumar, Jiwen Ren, Lili Zhang, Wenfeng Zhuo, Wen Zhang, Xiao Bai, Jinchao Li, Karthik Iyer, Zihao Fan, Yilun Xu, Yiwen Chen, Peicheng Yu, Manish Malik, Neil Shah |
| 2026 | SIGIR | Beyond Unimodal Perspectives: Generative Retrieval with Multimodal Semantics. | Jing Zhu, Mingxuan Ju, Yozen Liu, Shubham Vij, Danai Koutra, Neil Shah, Tong Zhao |
| 2026 | WSDM | Sequential Data Augmentation for Generative Recommendation. | Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins |
| 2026 | WSDM | Third Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis |
| 2025 | CIKM | Generative Recommendation with Semantic IDs: A Practitioner's Handbook. | Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah |
| 2025 | CIKM | MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings. | Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li |
| 2025 | CVPR | Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning. | Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra |
| 2025 | ICML | Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks. | Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu |
| 2025 | ICML | Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. | Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao |
| 2025 | Interspeech | NAM-to-Speech Conversion with Multitask-Enhanced Autoregressive Models. | Neil Shah, Shirish Karande, Vineet Gandhi |
| 2025 | KDD | FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2025 | KDD | GiGL: Large-Scale Graph Neural Networks at Snapchat. | Tong Zhao, Yozen Liu, Matthew Kolodner, Kyle Montemayor, Elham Ghazizadeh, Ankit Batra, Zihao Fan, Xiaobin Gao, Xuan Guo, Jiwen Ren, Serim Park, Peicheng Yu, Jun Yu, Shubham Vij, Neil Shah |
| 2025 | KDD | Revisiting Self-attention for Cross-domain Sequential Recommendation. | Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah |
| 2025 | KDD | Training Industry-scale GNNs with GiGL. | Yozen Liu, Tong Zhao, Matthew Kolodner, Kyle Montemayor, Shubham Vij, Neil Shah |
| 2025 | KDD | On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective. | Donald Loveland, Mingxuan Ju, Tong Zhao, Neil Shah, Danai Koutra |
| 2025 | KDD | Second Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis |
| 2025 | WWW | Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank. | Donald Loveland, Xinyi Wu, Tong Zhao, Danai Koutra, Neil Shah, Mingxuan Ju |
| 2025 | WWW | Improving Out-of-Vocabulary Hashing in Recommendation Systems. | William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu |
| 2025 | WWW | GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. | Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao |
| 2025 | SIGIR | Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. | Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Aykan Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah |
| 2024 | ACL | Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. | Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Bjrn Ross, Mirella Lapata, Francesco Barbieri |
| 2024 | ICLR | Learning from Graphs Beyond Message Passing Neural Networks. | Tong Zhao, Neil Shah, Elham Ghazizadeh |
| 2024 | ICLR | A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. | Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr |
| 2024 | ICLR | Revisiting Link Prediction: a data perspective. | Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang |
| 2024 | ICML | LLaGA: Large Language and Graph Assistant. | Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang |
| 2024 | ICML | Position: Graph Foundation Models Are Already Here. | Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang |
| 2024 | KDD | FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2024 | SIGIR | Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion. | Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman |
| 2023 | ACL | Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? | Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin |
| 2023 | ICLR | Empowering Graph Representation Learning with Test-Time Graph Transformation. | Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah |
| 2023 | ICLR | MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. | Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah |
| 2023 | ICLR | Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. | Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang |
| 2023 | ICLR | Link Prediction with Non-Contrastive Learning. | William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah |
| 2023 | ICML | Forget Unlearning: Towards True Data-Deletion in Machine Learning. | Rishav Chourasia, Neil Shah |
| 2023 | ICML | Linkless Link Prediction via Relational Distillation. | Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao |
| 2023 | ICWSM | Predicting Future Location Categories of Users in a Large Social Platform. | Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos |
| 2023 | KDD | Sketch-Based Anomaly Detection in Streaming Graphs. | Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi |
| 2023 | KDD | 19th International Workshop on Mining and Learning with Graphs (MLG). | Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu |
| 2023 | KDD | CARL-G: Clustering-Accelerated Representation Learning on Graphs. | William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis |
| 2023 | KDD | Large-Scale Graph Neural Networks: The Past and New Frontiers. | Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu |
| 2023 | SIGIR | Embedding Based Retrieval in Friend Recommendation. | Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu |
| 2023 | WSDM | The 3rd International Workshop on Machine Learning on Graphs (MLoG). | Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan |
| 2023 | WSDM | Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. | Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah |
| 2022 | AMIA | Extending the Standard REDCap Dictionary Definitions Using REDCap. | Andrew Niederhausern, Nadia Bahadur, Neil Shah, Fenil Gandhi, Alysha Insinga, Kimberly Chan, Laura Barton, John Philip, Chelsea Nichols |
| 2022 | CIKM | Imbalanced Graph Classification via Graph-of-Graph Neural Networks. | Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr |
| 2022 | CIKM | The 1st International Workshop on Federated Learning with Graph Data (FedGraph). | Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr |
| 2022 | ICLR | Is Homophily a Necessity for Graph Neural Networks? | Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang |
| 2022 | ICLR | Automated Self-Supervised Learning for Graphs. | Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang |
| 2022 | ICLR | Graph Condensation for Graph Neural Networks. | Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah |
| 2022 | ICLR | Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. | Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah |
| 2022 | ICLR | From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. | Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah |
| 2022 | ICWSM | Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? | Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri |
| 2022 | KDD | Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). | Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng |
| 2022 | KDD | 17th International Workshop on Mining and Learning with Graphs (MLG). | Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi |
| 2022 | WSDM | Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. | Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin |
| 2022 | WSDM | Attributed Graph Modeling with Vertex Replacement Grammars. | Satyaki Sikdar, Neil Shah, Tim Weninger |
| 2022 | WSDM | Friend Story Ranking with Edge-Contextual Local Graph Convolutions. | Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah |
| 2021 | AAAI | Data Augmentation for Graph Neural Networks. | Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah |
| 2021 | AIES | FairOD: Fairness-aware Outlier Detection. | Shubhranshu Shekhar, Neil Shah, Leman Akoglu |
| 2021 | CHI | AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. | Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos |
| 2021 | CIKM | A Unified View on Graph Neural Networks as Graph Signal Denoising. | Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah |
| 2021 | CIKM | Action Sequence Augmentation for Early Graph-based Anomaly Detection. | Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang |
| 2021 | CIKM | NED: Niche Detection in User Content Consumption Data. | Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah |
| 2021 | ICWSM | Identifying Misinformation from Website Screenshots. | Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis |
| 2021 | ICWSM | CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. | Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos |
| 2021 | ICWSM | Online Communication Shifts in the Midst of the Covid-19 Pandemic: A Case Study on Snapchat. | Qi Yang, Weinan Wang, Lucas Pierce, Rajan Vaish, Xiaolin Shi, Neil Shah |
| 2021 | KDD | The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. | Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu |
| 2021 | WWW | Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. | Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah |
| 2020 | ACNS | Minority Reports Defense: Defending Against Adversarial Patches. | Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David A. Wagner |
| 2020 | CIKM | Social Factors in Closed-Network Content Consumption. | Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah |
| 2020 | COLING | The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. | Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves |
| 2020 | KDD | Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. | Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang |
| 2019 | CHI | Impact of Contextual Factors on Snapchat Public Sharing. | Hana Habib, Neil Shah, Rajan Vaish |
| 2019 | DSAA | SliceNDice: Mining Suspicious Multi-Attribute Entity Groups with Multi-View Graphs. | Hamed Nilforoshan, Neil Shah |
| 2019 | DSAA | FARE: Schema-Agnostic Anomaly Detection in Social Event Logs. | Neil Shah |
| 2019 | KDD | Modeling Dwell Time Engagement on Visual Multimedia. | Hemank Lamba, Neil Shah |
| 2019 | WWW | Cybersafety 2019: The 4th Workshop on Computational Methods in Online Misbehavior. | Richard Han, Neil Shah |
| 2018 | ICASSP | Time-Frequency Masking-Based Speech Enhancement Using Generative Adversarial Network. | Meet H. Soni, Neil Shah, Hemant A. Patil |
| 2018 | Interspeech | Effectiveness of Generative Adversarial Network for Non-Audible Murmur-to-Whisper Speech Conversion. | Neil Shah, Nirmesh J. Shah, Hemant A. Patil |
| 2018 | SIGIR | Did We Get It Right? Predicting Query Performance in e-Commerce Search. | Rohan Kumar, Mohit Kumar, Neil Shah, Christos Faloutsos |
| 2017 | DSAA | M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. | Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos |
| 2017 | ICDM | The Many Faces of Link Fraud. | Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos |
| 2017 | WWW | FLOCK: Combating Astroturfing on Livestreaming Platforms. | Neil Shah |
| 2016 | ICDM | EdgeCentric: Anomaly Detection in Edge-Attributed Networks. | Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Gnnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos |
| 2016 | KDD | FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. | Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos |
| 2016 | SDM | BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. | Bryan Hooi, Neil Shah, Alex Beutel, Stephan Gnnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos |
| 2015 | KDD | TimeCrunch: Interpretable Dynamic Graph Summarization. | Neil Shah, Danai Koutra, Tianmin Zou, Brian Gallagher, Christos Faloutsos |
| 2015 | PAKDD | ND-Sync: Detecting Synchronized Fraud Activities. | Maria Giatsoglou, Despoina Chatzakou, Neil Shah, Alex Beutel, Christos Faloutsos, Athena Vakali |
| 2015 | PAKDD | Retweeting Activity on Twitter: Signs of Deception. | Maria Giatsoglou, Despoina Chatzakou, Neil Shah, Christos Faloutsos, Athena Vakali |
| 2014 | ICDM | Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. | Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos |
| 2013 | CIKM | Challenges in understanding clinical notes: why NLP engines fall short and where background knowledge can help. | Sujan Perera, Amit P. Sheth, Krishnaprasad Thirunarayan, Suhas Nair, Neil Shah |
| 2012 | CLUSTER | Improving I/O Throughput with PRIMACY: Preconditioning ID-Mapper for Compressing Incompressibility. | Neil Shah, Eric R. Schendel, Sriram Lakshminarasimhan, Saurabh V. Pendse, Terry Rogers, Nagiza F. Samatova |
| 2012 | DEXA | Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying. | John Jenkins, Isha Arkatkar, Sriram Lakshminarasimhan, Neil Shah, Eric R. Schendel, Stphane Ethier, Choong-Seock Chang, Jacqueline H. Chen, Hemanth Kolla, Scott Klasky, Robert B. Ross, Nagiza F. Samatova |
| 2012 | ICDE | ISOBAR Preconditioner for Effective and High-throughput Lossless Data Compression. | Eric R. Schendel, Ye Jin, Neil Shah, Jackie Chen, Choong-Seock Chang, Seung-Hoe Ku, Stphane Ethier, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova |
| 2011 | EuroPar | Compressing the Incompressible with ISABELA: In-situ Reduction of Spatio-temporal Data. | Sriram Lakshminarasimhan, Neil Shah, Stphane Ethier, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova |
| 2011 | ICDM | S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy. | Ye Jin, Sriram Lakshminarasimhan, Neil Shah, Zhenhuan Gong, Choong-Seock Chang, Jackie Chen, Stphane Ethier, Hemanth Kolla, Seung-Hoe Ku, Scott Klasky, Robert Latham, Robert B. Ross, Karen Schuchardt, Nagiza F. Samatova |
| 2009 | AMIA | Heralding New Ringtones of Patient Safety: Blackberry-based Clinical Communication and Telementoring in Laparoscopic Surgery. | Ogochukwu Azuh, Ayan Sen, Rubinfeld Ilan, Neil Shah, Alton Parker, Dionne Blyden, Autumn Broady, Vic Velanovich, Anthony Falvo, Pat Patton |