Glenn Moo Fung

According to our database, Glenn Moo Fung authored at least 7 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Multi Resolution Analysis (MRA) for Approximate Self-Attention.

Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn Moo Fung, Vikas Singh

Proceedings of the International Conference on Machine Learning, 2022

Harvest - a System for Creating Structured Rate Filing Data from Filing PDFs.

Ender Tekin, Qian You, Devin M. Conathan, Glenn Moo Fung, Thomas S. Kneubuehl

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling.

Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Moo Fung, Vikas Singh

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains.

Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Entity Matching Meets Data Science: A Progress Report from the Magellan Project.

Yash Govind, Pradap Konda, Paul Suganthan G. C., Philip Martinkus, Palaniappan Nagarajan, Han Li, Aravind Soundararajan, Sidharth Mudgal, Jeffrey R. Ballard, Haojun Zhang, Adel Ardalan, Sanjib Das, Derek Paulsen, Amanpreet Singh Saini, Erik Paulson, Youngchoon Park, Marshall Carter, Mingju Sun, Glenn Moo Fung, AnHai Doan

Proceedings of the 2019 International Conference on Management of Data, 2019

Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces.

Joseph Bockhorst, Devin Conathan, Glenn Moo Fung

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

An Insurance Recommendation System Using Bayesian Networks.

Maleeha Qazi, Glenn Moo Fung, Katie J. Meissner, Eduardo R. Fontes

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017