2.7k citations · 4.6k across the 53 of their papers we have counts for
10 papers · 1 filter
Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science
Longbing Cao, Chengzhang Zhu
Enterprise data typically involves multiple heterogeneous data sources and external data that respectively record business activities, transactions, customer demographics, status,…
Personalized next-best action recommendation with multi-party interaction learning for automated decision-making
Longbing Cao, Chengzhang Zhu
Automated next-best action recommendation for each customer in a sequential, dynamic and interactive context has been widely needed in natural, social and business decision-making.…
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
Siyuan Ren, Bin Guo, Longbing Cao +3
The prediction of express delivery sequence, i.e., modeling and estimating the volumes of daily incoming and outgoing parcels for delivery, is critical for online business, logisti…
Modeling time evolving COVID-19 uncertainties with density dependent asymptomatic infections and social reinforcement
Qing Liu, Longbing Cao
The COVID-19 pandemic has posed significant challenges in modeling its complex epidemic transmissions, infection and contagion, which are very different from known epidemics. The c…
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators
Zhilin Zhao, Longbing Cao, Kun-Yu Lin
In deep neural learning, a discriminator trained on in-distribution (ID) samples may make high-confidence predictions on out-of-distribution (OOD) samples. This triggers a signific…
AI in Finance: Challenges, Techniques and Opportunities
Longbing Cao
AI in finance broadly refers to the applications of AI techniques in financial businesses. This area has been lasting for decades with both classic and modern AI techniques applied…