Neil Shah

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 138

Top Venues

Publications

Diego Gómez-Zará, Yozen Liu, Leonardo Neves, Neil Shah, Maarten W. Bos
Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data. Comput. Hum. Behav. 150 (2024)
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
Graph Foundation Models. CoRR (2024)
Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
LLaGA: Large Language and Graph Assistant. CoRR (2024)
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
Neural Scaling Laws on Graphs. CoRR (2024)
Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla
Node Duplication Improves Cold-start Link Prediction. CoRR (2024)
Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan
The 3rd International Workshop on Machine Learning on Graphs (MLoG). WSDM (2023)
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
CARL-G: Clustering-Accelerated Representation Learning on Graphs. CoRR (2023)
Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu
19th International Workshop on Mining and Learning with Graphs (MLG). KDD (2023)
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
CARL-G: Clustering-Accelerated Representation Learning on Graphs. KDD (2023)
Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
Sketch-Based Anomaly Detection in Streaming Graphs. KDD (2023)
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. CoRR (2023)
Rishav Chourasia, Neil Shah
Forget Unlearning: Towards True Data-Deletion in Machine Learning. ICML (2023)
Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu
Embedding Based Retrieval in Friend Recommendation. SIGIR (2023)
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. NeurIPS (2023)
Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. WSDM (2023)
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. ICLR (2023)
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? CoRR (2023)
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Revisiting Link Prediction: A Data Perspective. CoRR (2023)
William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
Link Prediction with Non-Contrastive Learning. ICLR (2023)
Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao
Graph Transformers for Large Graphs. CoRR (2023)
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. CoRR (2023)
Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) (2023)
Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS (2023)
Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
Empowering Graph Representation Learning with Test-Time Graph Transformation. ICLR (2023)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. ICLR (2023)
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
Linkless Link Prediction via Relational Distillation. ICML (2023)
Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos
Predicting Future Location Categories of Users in a Large Social Platform. ICWSM (2023)
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS (2023)
Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR (2023)
Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
Large-Scale Graph Neural Networks: The Past and New Frontiers. KDD (2023)
Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
Empowering Graph Representation Learning with Test-Time Graph Transformation. CoRR (2022)
Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah
Editorial: Computational Behavioral Modeling for Big User Data. Frontiers Big Data 5 (2022)
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
Flashlight: Scalable Link Prediction With Effective Decoders. LoG (2022)
Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. ICLR (2022)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR (2022)
Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri
Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? ICWSM (2022)
Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr
The 1st International Workshop on Federated Learning with Graph Data (FedGraph). CIKM (2022)
Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. CIKM (2022)
Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. ICLR (2022)
Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. CoRR (2022)
Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? CoRR (2022)
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. CoRR (2022)
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
Automated Self-Supervised Learning for Graphs. ICLR (2022)
Satyaki Sikdar, Neil Shah, Tim Weninger
Attributed Graph Modeling with Vertex Replacement Grammars. WSDM (2022)
Rishav Chourasia, Neil Shah, Reza Shokri
Forget Unlearning: Towards True Data-Deletion in Machine Learning. CoRR (2022)
Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. WSDM (2022)
Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi
17th International Workshop on Mining and Learning with Graphs (MLG). KDD (2022)
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
Linkless Link Prediction via Relational Distillation. CoRR (2022)
Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng
Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). KDD (2022)
Tong Zhao, Tianwen Jiang, Neil Shah, Meng Jiang
A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Lingxiao Zhao, Neil Shah, Leman Akoglu
A Practical, Progressively-Expressive GNN. NeurIPS (2022)
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
Is Homophily a Necessity for Graph Neural Networks? ICLR (2022)
Lingxiao Zhao, Louis Härtel, Neil Shah, Leman Akoglu
A Practical, Progressively-Expressive GNN. CoRR (2022)
Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah
Friend Story Ranking with Edge-Contextual Local Graph Convolutions. WSDM (2022)
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
Graph Condensation for Graph Neural Networks. ICLR (2022)
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR (2022)
Andrew Niederhausern, Nadia Bahadur, Neil Shah, Fenil Gandhi, Alysha Insinga, Kimberly Chan, Laura Barton, John Philip, Chelsea Nichols
Extending the Standard REDCap Dictionary Definitions Using REDCap. AMIA (2022)
William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
Link Prediction with Non-Contrastive Learning. CoRR (2022)
Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. NeurIPS (2022)
Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation. CoRR (2021)
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
Graph Condensation for Graph Neural Networks. CoRR (2021)
Neil Shah, Nandish Bhagat, Manan Shah
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention. Vis. Comput. Ind. Biomed. Art 4 (1) (2021)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM (2021)
Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang
Action Sequence Augmentation for Early Graph-based Anomaly Detection. CIKM (2021)
Sara Abdali, Neil Shah, Evangelos E. Papalexakis
KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection. CoRR (2021)
Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. WWW (2021)
Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis
Identifying Misinformation from Website Screenshots. CoRR (2021)
Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu
The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. KDD (2021)
Satyaki Sikdar, Neil Shah, Tim Weninger
Attributed Graph Modeling with Vertex Replacement Grammars. CoRR (2021)
Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos
AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. CHI (2021)
Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis
Identifying Misinformation from Website Screenshots. ICWSM (2021)
Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. CoRR (2021)
Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. CoRR (2021)
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
Data Augmentation for Graph Neural Networks. AAAI (2021)
Qi Yang, Weinan Wang, Lucas Pierce, Rajan Vaish, Xiaolin Shi, Neil Shah
Online Communication Shifts in the Midst of the Covid-19 Pandemic: A Case Study on Snapchat. ICWSM (2021)
Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah
NED: Niche Detection in User Content Consumption Data. CIKM (2021)
Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. ICWSM (2021)
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
Automated Self-Supervised Learning for Graphs. CoRR (2021)
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
Is Homophily a Necessity for Graph Neural Networks? CoRR (2021)
Shubhranshu Shekhar, Neil Shah, Leman Akoglu
FairOD: Fairness-aware Outlier Detection. AIES (2021)
Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. CoRR (2021)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR (2020)
Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. COLING (2020)
Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David A. Wagner
Minority Reports Defense: Defending Against Adversarial Patches. CoRR (2020)
Sara Abdali, Neil Shah, Evangelos E. Papalexakis
Semi-supervised Multi-aspect Detection of Misinformation Using Hierarchical Joint Decomposition. ECML/PKDD (5) (2020)
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
Data Augmentation for Graph Neural Networks. CoRR (2020)
Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David A. Wagner
Minority Reports Defense: Defending Against Adversarial Patches. ACNS Workshops (2020)
Ernest Turro, William J. Astle, Karyn Megy, Stefan Gräf, Daniel Greene, Olga Shamardina, Hana Lango Allen, Alba Sanchis-Juan, Mattia Frontini, Chantal Thys, Jonathan Stephens, Rutendo Mapeta, Oliver S. Burren, Kate Downes, Matthias Haimel, Salih Tuna, Sri V. V. Deevi, Timothy J. Aitman, David L. Bennett, Paul Calleja, Keren Carss, Mark J. Caulfield, Patrick F. Chinnery, Peter H. Dixon, Daniel P. Gale, Roger James, Ania Koziell, Michael A. Laffan, Adam P. Levine, Eamonn R. Maher, Hugh S. Markus, Joannella Morales, Nicholas W. Morrell, Andrew D. Mumford, Elizabeth Ormondroyd, Stuart Rankin, Augusto Rendon, Sylvia Richardson, Irene Roberts, Noemi B. A. Roy, Moin A. Saleem, Kenneth G. C. Smith, Hannah Stark, Rhea Y. Y. Tan, Andreas C. Themistocleous, Adrian J. Thrasher, Hugh Watkins, Andrew R. Webster, Martin R. Wilkins, Catherine Williamson, James Whitworth, Sean Humphray, David R. Bentley, Stephen Abbs, Lara Abulhoul, Julian Adlard, Munaza Ahmed, Hana Alachkar, David J. Allsup, Jeff Almeida-King, Philip Ancliff, Richard Antrobus, Ruth Armstrong, Gavin Arno, Sofie Ashford, Anthony Attwood, Paul Aurora, Christian Babbs, Chiara Bacchelli, Tamam Bakchoul, Siddharth Banka, Tadbir Bariana, Julian Barwell, Joana Batista, Helen E. Baxendale, Phil L. Beales, Agnieszka Bierzynska, Tina Biss, Maria A. K. Bitner-Glindzicz, Graeme C. M. Black, Marta Bleda, Iulia Blesneac, Detlef Bockenhauer, Harm Bogaard, Christian J. Bourne, Sara Boyce, John R. Bradley, Eugene Bragin, Gerome Breen, Paul Brennan, Carole Brewer, Matthew Brown, Andrew C. Browning, Michael J. Browning, Rachel J. Buchan, Matthew S. Buckland, Teofila Bueser, Carmen Bugarin Diz, John Burn, Siobhan O. Burns, Nigel Burrows, Carolyn Campbell, Gerald Carr-White, Ruth Casey, Jenny Chambers, John Chambers, Melanie M. Y. Chan, Calvin Cheah, Floria Cheng, Manali Chitre, Martin T. Christian, Colin Church, Jill Clayton-Smith, Maureen Cleary, Naomi Clements Brod, Gerry Coghlan, Elizabeth Colby, Trevor R. P. Cole, Janine Collins, Peter W. Collins, Camilla Colombo, Cecilia J. Compton, Robin Condliffe, Stuart A. Cook, H. Terence Cook, Nichola Cooper, Paul A. Corris, Abigail Furnell, Fiona Cunningham, Nicola S. Curry, Antony J. Cutler, Matthew J. Daniels, Mehul Dattani, Louise C. Daugherty, John Davis, Anthony De Soyza, Timothy Dent, Charu Deshpande, Eleanor F. Dewhurst, Sofia Douzgou, Anna M. Drazyk, Elizabeth Drewe, Daniel Duarte, Tina Dutt, J. David M. Edgar, Karen Edwards, William Egner, Melanie N. Ekani, Perry Elliott, Wendy N. Erber, Marie Erwood, Maria C. Estiu, Dafydd Gareth Evans, Gillian Evans, Tamara Everington, Mélanie Eyries, Hiva Fassihi, Remi Favier, Jack Findhammer, Debra Fletcher, Frances A. Flinter, R. Andres Floto, Tom Fowler, James Fox, Amy J. Frary, Courtney E. French, Kathleen Freson, Henning Gall, Vijeya Ganesan, Michael Gattens, Claire Geoghegan, Terence S. A. Gerighty, Ali G. Gharavi, Stefano Ghio, Hossein-Ardeschir Ghofrani, J. Simon R. Gibbs, Kate Gibson, Kimberly C. Gilmour, Barbara Girerd, Nicholas S. Gleadall, Sarah Goddard, David B. Goldstein, Keith Gomez, Pavels Gordins, David Gosal, Jodie Graham, Luigi Grassi, Lynn Greenhalgh, Andreas Greinacher, Paolo Gresele, Philip Griffiths, Sofia Grigoriadou, Russell J. Grocock, Detelina Grozeva, Mark Gurnell, Scott Hackett, Charaka Hadinnapola, William M. Hague, Rosie Hague, Matthew Hall, Helen L. Hanson, Eshika Haque, Kirsty Harkness, Andrew R. Harper, Claire L. Harris, Daniel Hart, Ahamad Hassan, Grant Hayman, Alex Henderson, Archana Herwadkar, Jonathan Hoffman, Simon Holden, Rita Horvath, Henry Houlden, Arjan C. Houweling, Luke S. G. E. Howard, Fengyuan Hu, Gavin Hudson, Joseph Hughes, Aarnoud P. Huissoon, Marc Humbert, Sarah Hunter, Matthew E. Hurles, Melita Irving, Louise Izatt, Sally A. Johnson, Stephen Jolles, Jennifer Jolley, Dragana Josifova, Neringa Jurkute, Tim Karten, Johannes Karten, Mary A. Kasanicki, Hanadi Kazkaz, Rashid Kazmi, Peter Kelleher, Anne M. Kelly, Wilf Kelsall, Carly Kempster, David G. Kiely, Nathalie Kingston, Robert Klima, Nils Koelling, Myrto Kostadima, Gabor Kovacs, Roman Kreuzhuber, Taco W. Kuijpers, Ajith Kumar, Dinakantha Kumararatne, Manju A. Kurian, Fiona Lalloo, Michele Lambert, Allan Lawrie, D. Mark Layton, Nick Lench, Claire Lentaigne, Tracy Lester, Rachel Linger, Hilary Longhurst, Lorena E. Lorenzo, Eleni Louka, Paul A. Lyons, Rajiv D. Machado, Robert V. MacKenzie Ross, Bella Madan, Jesmeen Maimaris, Samantha Malka, Sarah Mangles, Kevin J. Marchbank, Stephen Marks, Hanns-Ulrich Marschall, Andrew Marshall, Jennifer Martin, Mary Mathias, Emma Matthews, Heather Maxwell, Paul McAlinden, Mark I. McCarthy, Harriet McKinney, Aoife McMahon, Stuart Meacham, Adam J. Mead, Ignacio Medina Castello, Sarju G. Mehta, Michel Michaelides, Carolyn Millar, Shehla N. Mohammed, Shahin Moledina, David Montani, Anthony T. Moore, Monika Mozere, Keith W. Muir, Andrea H. Nemeth, William G. Newman, Michael Newnham, Sadia Noorani, Paquita Nurden, Jennifer O'Sullivan, Samya Obaji, Chris Odhams, Steven Okoli, Andrea Olschewski, Horst Olschewski, Kai Ren Ong, S. Helen Oram, Willem H. Ouwehand, Claire Palles, Sofia Papadia, Soo-Mi Park, David Parry, Smita Patel, Joan Paterson, Andrew Peacock, Simon H. Pearce, John Peden, Kathelijne Peerlinck, Christopher J. Penkett, Joanna Pepke-Zaba, Romina Petersen, Clarissa Pilkington, Kenneth E. S. Poole, Radhika Prathalingam, Bethan Psaila, Angela Pyle, Richard Quinton, Shamima Rahman, Anupama Rao, F. Lucy Raymond, Paula J. Rayner-Matthews, Christine Rees, Tara Renton, Christopher J. Rhodes, Andrew S. C. Rice, Alex Richter, Leema Robert, Anthony Rogers, Sarah J. Rose, Robert Ross-Russell, Catherine Roughley, Deborah M. Ruddy, Omid Sadeghi-Alavijeh, Nilesh J. Samani, Crina Samarghitean, Ravishankar B. Sargur, Robert N. Sarkany, Simon Satchell, Sinisa Savic, John A. Sayer, Genevieve Sayer, Laura Scelsi, Andrew M. Schaefer, Sol Schulman, Richard Scott, Marie Scully, Claire Searle, Werner Seeger, Arjune Sen, W. A. Carrock Sewell, Denis Seyres, Neil Shah, Susan E. Shapiro, Adam C. Shaw, Patrick J. Short, Keith Sibson, Lucy Side, Ilenia Simeoni, Michael A. Simpson, Matthew C. Sims, Suthesh Sivapalaratnam, Damian Smedley, Katherine R. Smith, Katie Snape, Nicole Soranzo, Florent Soubrier, Laura Southgate, Olivera Spasic-Boskovic, Simon Staines, Emily Staples, Charles A. Steward, Kathleen E. Stirrups, Alex Stuckey, Jay Suntharalingam, Emilia M. Swietlik, Petros Syrris, R. Campbell Tait, Kate Talks, Katie Tate, John M. Taylor, Jenny C. Taylor, James E. Thaventhiran, Ellen Thomas, David Thomas, Moira J. Thomas, Patrick Thomas, Kate Thomson, Glen Threadgold, Tobias Tilly, Marc Tischkowitz, Catherine Titterton, John A. Todd, Cheng-Hock Toh, Bas Tolhuis, Ian P. Tomlinson, Mark Toshner, Matthew Traylor, Carmen Treacy, Paul Treadaway, Richard Trembath, Wojciech Turek, Philip Twiss, Tom Vale, Chris Van Geet, Natalie van Zuydam, Maarten Vandekuilen, Anthony M. Vandersteen, Marta Vazquez-Lopez, Julie von Ziegenweidt, Anton Vonk-Noordegraaf, Annette Wagner, Quinten Waisfisz, Suellen M. Walker, Neil Walker, Klaudia Walter, James S. Ware, Christopher Watt, Lucy Wedderburn, Wei Wei, Steven B. Welch, Julie Wessels, Sarah K. Westbury, John-Paul Westwood, John Wharton, Deborah Whitehorn, Andrew O. M. Wilkie, Brian T. Wilson, Edwin K. S. Wong, Nicholas W. Wood, Yvette Wood, Christopher Geoffrey Woods, Emma R. Woodward, Stephen J. Wort, Austen Worth, Michael Wright, Katherine Yates, Patrick F. K. Yong, Timothy Young, Ping Yu, Patrick Yu-Wai-Man, Eliska Zlamalova
Whole-genome sequencing of patients with rare diseases in a national health system. Nat. 583 (7814) (2020)
Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah
Social Factors in Closed-Network Content Consumption. CIKM (2020)
Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. CoRR (2020)
Sara Abdali, Neil Shah, Evangelos E. Papalexakis
HiJoD: Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition. CoRR (2020)
Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. KDD (2020)
Neil Shah, Grant Ho, Marco Schweighauser, M. H. Afifi, Asaf Cidon, David A. Wagner
A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts. CoRR (2020)
Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. CoRR (2020)
Neil Shah, Sreeraj R, Maulik C. Madhavi, Nirmesh J. Shah, Hemant A. Patil
Query-By-Example Spoken Term Detection Using Generative Adversarial Network. APSIPA (2020)
Shubhranshu Shekhar, Neil Shah, Leman Akoglu
FAIROD: Fairness-aware Outlier Detection. CoRR (2020)
Neil Shah, Dharmeshkumar M. Agrawal
Impact of Minimum Hyperspherical Energy Regularization on Time-Frequency Domain Networks for Singing Voice Separation. APSIPA (2020)
Hana Habib, Neil Shah, Rajan Vaish
Impact of Contextual Factors on Snapchat Public Sharing. CHI (2019)
Henry Kwang, Eric Mou, Ilana Richman, Andre Kumar, Caroline Berube, Rajani Kaimal, Neera Ahuja, Stephanie Harman, Tyler Johnson, Neil Shah, Ronald Witteles, Robert Harrington, Lisa Shieh, Jason Hom
Thrombophilia testing in the inpatient setting: impact of an educational intervention. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Hemank Lamba, Neil Shah
Modeling Dwell Time Engagement on Visual Multimedia. KDD (2019)

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Publication Activity (10 Years)

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Neil Shah