Hong Liu

Exploring a new bilateral focal density asymmetry based image marker to predict breast cancer risk

2017 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

Although breast density has been widely considered an important breast cancer risk factor, it is not very effective to predict risk of developing breast cancer in a short-term or harboring cancer in mammograms. Based on …

Parallelization implementation of Bayesian algorithms based on Spark platform

2019

With the rapid development of Internet technology, all kinds of data are growing exponentially. How to effectively manage and utilize these data has become the focus of research in the era of big data. Under …

Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling

2021 · arXiv (Cornell University)

Universal user representation is an important research topic in industry, and is widely used in diverse downstream user analysis tasks, such as user profiling and user preference prediction. With the rapid development of Internet service …

Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning of Discrete Latent Variable Models

2022 · arXiv (Cornell University)

Developing semi-supervised task-oriented dialog (TOD) systems by leveraging unlabeled dialog data has attracted increasing interests. For semi-supervised learning of latent state TOD models, variational learning is often used, but suffers from the annoying high-variance of …

Jointly Reinforced User Simulator and Task-oriented Dialog System with Simplified Generative Architecture

2022 · arXiv (Cornell University)

Recently, there has been progress in supervised funetuning pretrained GPT-2 to build end-to-end task-oriented dialog (TOD) systems. However, online reinforcement learning of a GPT-2 based dialog system (DS), together with a end-to-end user simulator (US), …

A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems

2022 · arXiv (Cornell University)

Building user simulators (USs) for reinforcement learning (RL) of task-oriented dialog systems (DSs) has gained more and more attention, which, however, still faces several fundamental challenges. First, it is unclear whether we can leverage pretrained …

Lightwave Fabrics: At-Scale Optical Circuit Switching for Datacenter and Machine Learning Systems

2024

We describe our experience developing what we believe to be the world’s first large-scale production deployments of lightwave fabrics used for both datacenter networking and machine-learning (ML) applications [1],[2],[3],[4]. Using optical circuit switches (OCSes) and …

Learning Social Graph for Inactive User Recommendation

2024 · arXiv (Cornell University)

Social relations have been widely incorporated into recommender systems to alleviate data sparsity problem. However, raw social relations don't always benefit recommendation due to their inferior quality and insufficient quantity, especially for inactive users, whose …