Yan Xiao

Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction

2020 · arXiv (Cornell University)

With an exponential explosive growth of various digital text information, it is challenging to efficiently obtain specific knowledge from massive unstructured text information. As one basic task for natural language processing (NLP), relation extraction aims …

Research on AUV Integrated Navigation Method Based on Improved Particle Filter Algorithm

2021 · 2021 OES China Ocean Acoustics (COA)

In view of the problem that GPS navigation equipment cannot be used underwater, the integrated navigation method which is based on the strap-down inertial navigation system (SINS) and long-base line (LBL) positioning system with buoys …

Towards Lean Automation: Fine-Grained sentiment analysis for customer value identification

2022 · Computers & Industrial Engineering

That customer value should drive product development and production is a basic tenet of the Toyota Production System and Lean. Traditional means to extract what the customer wants often focus on customer surveys. But surveys …

Norm-Range Partition: A Universal Catalyst for LSH based Maximum Inner Product Search (MIPS)

2018 · arXiv (Cornell University)

Recently, locality sensitive hashing (LSH) was shown to be effective for MIPS and several algorithms including $L_2$-ALSH, Sign-ALSH and Simple-LSH have been proposed. In this paper, we introduce the norm-range partition technique, which partitions the …

Promises and perils of using Transformer-based models for SE research

2024 · Neural Networks

Many Transformer-based pre-trained models for code have been developed and applied to code-related tasks. In this paper, we analyze 519 papers published on this topic during 2017-2023, examine the suitability of model architectures for different …

Identifying E-Commerce Fraud Through User Behavior Data: Observations and Insights

2025 · Data Science and Engineering

Abstract Traditional fraud detection approaches often use linking entities, such as device, email, and address, to identify fraudulent transactions and users. However, as fraud methods continue to evolve and escalate, the fraudsters can fabricate the …

Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation

2019

We present a neural approach called IRNet for complex and cross-domain Text-to-SQL. IR-Net aims to address two challenges: 1) the mismatch between intents expressed in natural language (NL) and the implementation details in SQL; 2) …