Neil Shah
Orcid: 0000-0003-3261-8430
According to our database1,
Neil Shah
authored at least 131 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data.
Comput. Hum. Behav., January, 2024
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank.
CoRR, 2024
Hybrid-DAOs: Enhancing Governance, Scalability, and Compliance in Decentralized Systems.
CoRR, 2024
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems.
CoRR, 2024
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
2023
IEEE Data Eng. Bull., 2023
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022
Frontiers Big Data, 2022
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games.
CoRR, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the AMIA 2022, 2022
2021
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention.
Vis. Comput. Ind. Biomed. Art, 2021
KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection.
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Online Communication Shifts in the Midst of the Covid-19 Pandemic: A Case Study on Snapchat.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Nat., 2020
CoRR, 2020
HiJoD: Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition.
CoRR, 2020
Semi-supervised Multi-aspect Detection of Misinformation Using Hierarchical Joint Decomposition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020
Impact of Minimum Hyperspherical Energy Regularization on Time-Frequency Domain Networks for Singing Voice Separation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020
Proceedings of the Applied Cryptography and Network Security Workshops, 2020
2019
Thrombophilia testing in the inpatient setting: impact of an educational intervention.
BMC Medical Informatics Decis. Mak., 2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
Soc. Netw. Anal. Min., 2018
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Effectiveness of Generative Adversarial Network for Non-Audible Murmur-to-Whisper Speech Conversion.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Time-Frequency Masking-Based Speech Enhancement Using Generative Adversarial Network.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
Novel Inter Mixture Weighted GMM Posteriorgram for DNN and GAN-based Voice Conversion.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
Time-Frequency Mask-based Speech Enhancement using Convolutional Generative Adversarial Network.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
2017
ACM Trans. Knowl. Discov. Data, 2017
CoRR, 2017
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
2016
ACM Trans. Knowl. Discov. Data, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
2015
CoRR, 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying.
Trans. Large Scale Data Knowl. Centered Syst., 2013
Concurr. Comput. Pract. Exp., 2013
Challenges in understanding clinical notes: why NLP engines fall short and where background knowledge can help.
Proceedings of the 2013 International Workshop on Data Management & Analytics for Healthcare, 2013
2012
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying.
Proceedings of the Database and Expert Systems Applications, 2012
Improving I/O Throughput with PRIMACY: Preconditioning ID-Mapper for Compressing Incompressibility.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012
2011
S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Compressing the Incompressible with ISABELA: In-situ Reduction of Spatio-temporal Data.
Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011
2009
PR: Automatic parallelization of data-parallel statistical computing codes for R in hybrid multi-node and multi-core environments.
Proceedings of the IADIS International Conference Applied Computing 2009, 2009
Heralding New Ringtones of Patient Safety: Blackberry-based Clinical Communication and Telementoring in Laparoscopic Surgery.
Proceedings of the AMIA 2009, 2009