6 citations · 17 across the 10 of their papers we have counts for
10 papers
TokenFLEX: Unified VLM Training for Flexible Visual Tokens Inference
Junshan Hu, Jialiang Mao, Zhikang Liu +3
Conventional Vision-Language Models(VLMs) typically utilize a fixed number of vision tokens, regardless of task complexity. This one-size-fits-all strategy introduces notable ineff…
Balancing Risk and Reward: An Automated Phased Release Strategy
Yufan Li, Jialiang Mao, Iavor Bojinov
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated unit…
Detecting Interference in A/B Testing with Increasing Allocation
Kevin Han, Shuangning Li, Jialiang Mao +1
In the past decade, the technology industry has adopted online randomized controlled experiments (a.k.a. A/B testing) to guide product development and make business decisions. In p…
Causal Estimation of Position Bias in Recommender Systems Using Marketplace Instruments
Rina Friedberg, Karthik Rajkumar, Jialiang Mao +3
Information retrieval systems, such as online marketplaces, news feeds, and search engines, are ubiquitous in today's digital society. They facilitate information discovery by rank…
Quantifying the Value of Iterative Experimentation
Jialiang Mao, Iavor Bojinov
Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development proce…
A tree-based model for addressing sparsity and taxa covariance in microbiome compositional count data
Zhuoqun Wang, Jialiang Mao, Li Ma
Microbiome compositional data are often high-dimensional, sparse, and exhibit pervasive cross-sample heterogeneity. Generative modeling is a popular approach to analyze such data,…
Trustworthy Online Marketplace Experimentation with Budget-split Design
Min Liu, Jialiang Mao, Kang Kang
Online experimentation, also known as A/B testing, is the gold standard for measuring product impacts and making business decisions in the tech industry. The validity and utility o…
Dirichlet-tree multinomial mixtures for clustering microbiome compositions
Jialiang Mao, Li Ma
Studying the human microbiome has gained substantial interest in recent years, and a common task in the analysis of these data is to cluster microbiome compositions into subtypes.…
Bayesian graphical compositional regression for microbiome data
Jialiang Mao, Yuhan Chen, Li Ma
An important task in microbiome studies is to test the existence of and give characterization to differences in the microbiome composition across groups of samples. Important chall…
Fisher exact scanning for dependency
Li Ma, Jialiang Mao
We introduce a method---called Fisher exact scanning (FES)---for testing and identifying variable dependency that generalizes Fisher's exact test on contingency tables…