Nan Wang

The Tutor Training Method of the New College Teachers

2015

This paper combines the new teachers' needs and the college development together; it analyzes the existing problems in the training courses, colleges work, and even everyday life of young teachers. Then our colleges find a …

The Analysis of Use of Official Account in the Application of WeChat to Improve Reading Ability of Learning Indonesian as Second Language for Chinese Students

2020

With the speedy science and technology development, it has provided us great convenience in language learning. More and more Chinese students study Indonesian language as a second language under the " One Belt, One Road …

Blockchain-based carbon allowance trading market construction

2021 · 2021 IEEE Sustainable Power and Energy Conference (iSPEC)

In order to successfully achieve the goal of “carbon peak and carbon neutrality” and to more effectively promote carbon emission reduction, this article starts from the power industry and proposes a carbon allowance trading scheme …

AnoDFDNet: A Deep Feature Difference Network for Anomaly Detection

2022 · arXiv (Cornell University)

This paper proposed a novel anomaly detection (AD) approach of High-speed Train images based on convolutional neural networks and the Vision Transformer. Different from previous AD works, in which anomalies are identified with a single …

Blockchain-enabled Decentralized Anonymous Crowdsourcing Based on Anonymous Payments

2023

Decentralizing crowdsourcing using blockchain removes the trusted mediator who may cause social biases in data aggregation and uncertainties in ensuring proper rewards to workers. Permissionless blockchain discloses all data on public ledgers, which compromises the …

Soft Shared Multi-Task Convolutional Network Based on the Attention Mechanism

2023

Rolling bearings are widely used and related to production safety, so bearing health status management is very important. In the bearing health management, fault diagnosis is the core problem, and residual lifetime (RUL) prediction is …

EnergiPay: Off-chain Payment Channel for Blockchain-enabled Peer-to-peer Energy Trading

2024

P2P energy trading allows direct energy transactions among end users to maximize the benefits of distributed energy resources. Permissionless blockchain platforms (e.g., Ethereum) facilitate P2P energy trading through energy credit tokenization, such that users who …

Cost-Sensitive Hypergraph Learning With Structure Quality Preservation for IoT Software Defect Prediction

2024 · IEEE Open Journal of the Communications Society

Generative AI is revolutionizing Software Engineering (SE), as both engineers and academics embrace this technology in their work. To better leverage this technology for software generation, it is essential to propose effective IoT software defect …

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark

2024 · arXiv (Cornell University)

Evaluation plays a crucial role in the advancement of information retrieval (IR) models. However, current benchmarks, which are based on predefined domains and human-labeled data, face limitations in addressing evaluation needs for emerging domains both …

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives

2025 · arXiv (Cornell University)

Large Language Models (LLMs) represent a transformative leap in artificial intelligence, enabling the comprehension, generation, and nuanced interaction with human language on an unparalleled scale. However, LLMs are increasingly vulnerable to a range of adversarial …

Dual-view personalized federated recommendation

2025

With the widespread adoption of federated learning (FL) in recommendation systems, balancing user privacy protection and personalized recommendation effectiveness has become a critical challenge. Previous federated recommendation models often mechanically apply traditional recommendation models to …

AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model

2025 · arXiv (Cornell University)

In recent years, while cloud-based MLLMs such as QwenVL, InternVL, GPT-4o, Gemini, and Claude Sonnet have demonstrated outstanding performance with enormous model sizes reaching hundreds of billions of parameters, they significantly surpass the limitations in …

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

2018

Explaining automatically generated recommendations allows users to make more informed and accurate decisions about which results to utilize, and therefore improves their satisfaction. In this work, we develop a multi-task learning solution for explainable recommendation. …