papers

Publications (10)

cs.MM2021

Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream

Haoran Wei, Fei Tao, Runze Su +2

Conventional spoken language understanding (SLU) consist of two stages, the first stage maps speech to text by automatic speech recognition (ASR), and the second stage maps text to…

cs.MM2020

Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach

Yunjie Zhang, Fei Tao, Xudong Liu +6

With the rising of short video apps, such as TikTok, Snapchat and Kwai, advertisement in short-term user-generated videos (UGVs) has become a trending form of advertising. Predicti…

cs.LG2025

The Evolution of Embedding Table Optimization and Multi-Epoch Training in Pinterest Ads Conversion

Andrew Qiu, Shubham Barhate, Hin Wai Lui +7

Deep learning for conversion prediction has found widespread applications in online advertising. These models have become more complex as they are trained to jointly predict multip…

cs.AI2020

Themes Informed Audio-visual Correspondence Learning

Runze Su, Fei Tao, Xudong Liu +6

The applications of short-term user-generated video (UGV), such as Snapchat, and Youtube short-term videos, booms recently, raising lots of multimodal machine learning tasks. Among…

cs.DB2026

Can Large Language Models be a Cardinality Estimator? An Empirical study

Liangzu Liu, Yiyan Wang, Yinjun Wu +8

Cardinality estimation (CardEst) still remains a challenging problem for DBMS. Recent years have witnessed the success of ML-based cardinality estimators in outperforming tradition…

q-bio.QM2022

Deep Learning in Single-Cell Analysis

Dylan Molho, Jiayuan Ding, Zhaoheng Li +12

Single-cell technologies are revolutionizing the entire field of biology. The large volumes of data generated by single-cell technologies are high-dimensional, sparse, heterogeneou…