Chen Li

Tendency of Restaurant Reviews Mining Model Combining FP-Tree Algorithm

2015

A restaurant review tendentious mining method that combines FP-Tree algorithm is presented to dig and identify high-frequency noun pairs in reviews associated with services, the environment, food, to name just a few, by mining association …

An Optimization Method for Recommendation System Based on User Implicit Behavior

2015

Collaborative filtering is the most worldwide and personalized video recommendation technology. As collaborative filtering recommendation system is often faced with the problem of matrix sparse on user rating. Via the introduction of the concept of …

Comparison of solar photovoltaic and solar thermal power generation

2015 · Heilongjiang Science

The utilization of solar energy is mainly divided into two categories: photovoltaic as well as light and heat. On account of the two power generation principle is different, so the system form also has a …

Establishment of Effectiveness Evaluation Indicator System based on 1D-CNN

2020

Towards the decisive influence of substantial subjective factors in constructing effectiveness evaluation indicators, this article introduces a parallel one-dimensional convolutional neural network based on sample data. Then an objective method of constructing effectiveness evaluation indicator …

A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer

2022 · arXiv (Cornell University)

Gastric cancer is the fifth most common cancer in the world. At the same time, it is also the fourth most deadly cancer. Early detection of cancer exists as a guide for the treatment of …

Bayesian-Based Inference Attack Method and Individual Differential Privacy-Based Auction Mechanism for Double Auction Market

2022 · IEEE Transactions on Automation Science and Engineering

Due to high convenience and efficiency, electronic auction technology has been developed rapidly and has been applied to many online trading market applications. As more attention has been paid to information security, the privacy issues …

A Security-Enhanced Query Result Verification Scheme for Outsourced Data in Location-Based Services

2022 · Applied Sciences

Location-based services (LBSs) facilitate people’s lives; location-based service providers (LBSPs) usually outsource services to third parties to provide better services. However, the third party is a dishonest entity that might return incorrect or incomplete query …

BBVD: A BERT-based Method for Vulnerability Detection

2022 · International Journal of Advanced Computer Science and Applications

Software vulnerability detection is one of the key tasks in the field of software security. Detecting vulnerability in the source code in advance can effectively prevent malicious attacks. Traditional vulnerability detection methods are often ineffective …

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit

2022 · 2022 IEEE International Conference on Data Mining (ICDM)

Patient similarity measurement is an essential step in discovering clinically meaningful subgroups and building case retrieval systems. Most existing studies implement this procedure using similarity measurement algorithms on the multivariate clinical time-series (input space) or …

IRWoZ: Constructing an Industrial Robot Wizard-of-OZ Dialoguing Dataset

2023 · IEEE Access

Enabling a flexible and natural human-robot interaction (HRI) for industrial robots is a critical yet challenging task that can be facilitated by the use of conversational artificial intelligence (AI). Prior research has concentrated on strengthening …

Multi-Granularity Information Interaction Framework for Incomplete Utterance Rewriting

2023 · arXiv (Cornell University)

Recent approaches in Incomplete Utterance Rewriting (IUR) fail to capture the source of important words, which is crucial to edit the incomplete utterance, and introduce words from irrelevant utterances. We propose a novel and effective …

Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach

2024 · ACM Transactions on Intelligent Systems and Technology

Bipartite graph representation learning aims to obtain node embeddings by compressing sparse vectorized representations of interactions between two types of nodes, e.g., users and items. Incorporating structural attributes among homogeneous nodes, such as user communities, …

A Rapid Risk Assessment Method for Distribution Network Based on K-Nearest Neighbors

2023

High proportion of new energy access makes grid operation uncertainty increase, operation mode adjustment more frequent. In this paper, we developed a rapid risk assessment method for distribution network (DN). First, the collected data from …

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

2024 · arXiv (Cornell University)

Visual mathematical reasoning, as a fundamental visual reasoning ability, has received widespread attention from the Large Multimodal Models (LMMs) community. Existing benchmarks, such as MathVista and MathVerse, focus more on the result-oriented performance but neglect …

Landscape ecological design using Elman neural networks and improved Energy Valley optimizer algorithm

2025 · International Journal of Low-Carbon Technologies

Abstract Landscape ecology is a multidisciplinary field that examines the connections between spatial patterns and ecological processes. The optimization of spatial patterns is a crucial aspect of landscape ecological design, with the goal of enhancing …

A Study on Artificial Intelligence-Assisted Teaching Models in College English Education

2025 · Advances in Educational Technology and Psychology

This article explores the auxiliary applications of artificial intelligence in college English teaching, aiming to optimize existing teaching models and enhance educational quality. First, it outlines the development and basic principles of artificial intelligence technology. …

Cross-sector deep learning scales life cycle assessment using unified textual descriptions

2026 · Environmental Science and Ecotechnology

Life cycle assessment (LCA) is a foundational framework for quantifying global environmental impacts to guide decarbonization and circular economy transitions. Yet, conventional inventory compilation remains severely bottlenecked by data scarcity and intensive manual curation, with …

BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization

2019

Most existing text summarization datasets are compiled from the news domain, where summaries have a flattened discourse structure. In such datasets, summary-worthy content often appears in the beginning of input articles. Moreover, large segments from …

Graph Neural News Recommendation with Unsupervised Preference Disentanglement

2020

With the explosion of news information, personalized news recommendation has become very important for users to quickly find their interested contents. Most existing methods usually learn the representations of users and news from news contents …

PanGu-$α$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

2021 · arXiv (Cornell University)

Large-scale Pretrained Language Models (PLMs) have become the new paradigm for Natural Language Processing (NLP). PLMs with hundreds of billions parameters such as GPT-3 have demonstrated strong performances on natural language understanding and generation with …