Lu Chen

Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning

2017

Hand-crafted rules and reinforcement learning (RL) are two popular choices to obtain dialogue policy. The rule-based policy is often reliable within predefined scope but not self-adaptable, whereas RL is evolvable with data but often suffers …

A Real-time Software Defined Radar Index Analysis Prototype System

2022 · 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)

The real-time and comprehensive nature of radar signal processing and index analysis is of great significance to the index test of a radar system. Based on the flexible and open characteristics of software definition technology, …

Towards Explainable Collaborative Filtering with Taste Clusters Learning

2023

Collaborative Filtering (CF) is a widely used and effective technique for recommender systems. In recent decades, there have been significant advancements in latent embedding-based CF methods for improved accuracy, such as matrix factorization, neural collaborative …

Knowledge-refined Denoising Network for Robust Recommendation

2023

Knowledge graph (KG), which contains rich side information, becomes an essential part to boost the recommendation performance and improve its explainability. However, existing knowledge-aware recommendation methods directly perform information propagation on KG and user-item bipartite …

Exploring Schema Generalizability of Text-to-SQL

2023

Exploring the generalizability of a text-to-SQL parser is essential for a system to automatically adapt the real-world databases. Previous investigation works mostly focus on lexical diversity, including the influence of the synonym and perturbations in …

SciDFM: A Large Language Model with Mixture-of-Experts for Science

2024 · arXiv (Cornell University)

Recently, there has been a significant upsurge of interest in leveraging large language models (LLMs) to assist scientific discovery. However, most LLMs only focus on general science, while they lack domain-specific knowledge, such as chemical …

Location-Aware Service Recommendation With Enhanced Probabilistic Matrix Factorization

2018 · IEEE Access

Owing to the ever-growing popularity of mobile computing, a large number of services have been developed for a variety of users. Considering this, recommending useful services to users is an urgent problem that needs to …