Jin Wang
17 papers in the PaperMetrix corpus
Papers by this author
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A New Mobile Recommendation Algorithm Based on Statistical Theory
2015
With Recommendation technology has been widely used in advertising push, e-commerce and other fields and it has shown its powerful application prospect. But with the index increasing of mobile commerce data size, the size of …
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A new mining method to detect real time substance use events from wearable biosensor data stream
2017 · 2017 International Conference on Computing, Networking and Communications (ICNC)
Detecting real time substance use is a critical step for optimizing behavioral interventions to prevent drug abuse. Traditional methods based on self-reporting or urine screening are inefficient or intrusive for drug use detection, and inappropriate …
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A Deep Learning Approach for Website Fingerprinting Attack
2018
Website fingerprinting attack is an effective way to infer which web page a user is browsing through anonymous network. Previous studies focused more on the selection of traffic features and improvements in traditional classification methods. …
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Local privacy protection classification based on human-centric computing
2019 · Human-centric Computing and Information Sciences
Abstract Human-centric computing is becoming an important part of data-driven artificial intelligence (AI) and the importance of data mining under Human-centric computing is getting more and more attention. The rapid development of machine learning has …
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An Efficient Secure Coded Edge Computing Scheme Using Orthogonal Vector
2019
In recent years, Edge Computing (EC) has attracted increasing attention for its advantages in handling latencysensitive and compute-intensive applications. It is becoming a widespread solution to solve the last mile problem of cloud computing. However, …
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Wave–Particle–Entanglement–Ignorance Complementarity for General Bipartite Systems
2020 · Entropy
Wave-particle duality as the defining characteristic of quantum objects is a typical example of the principle of complementarity. The wave-particle-entanglement (WPE) complementarity, initially developed for two-qubit systems, is an extended form of complementarity that combines …
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YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis
2020
In recent years, the growing ubiquity of Internet memes on social media platforms, such as Facebook, Instagram, and Twitter, has become a topic of immense interest. However, the classification and recognition of memes is much …
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A Study on the Restructuring of Lifelong Education College in University
2020 · The Journal of Humanities and Social sciences 21
본 연구의 목적은 첫째, 한국의 대학평생교육 관련 법 및 제도와 최근의 대학평생교육 정책 동향의 고찰, 둘째, 종합대학교 수준에서 평생교육단과대학의 제도적 정착 방안과 평생교육단과대학 발전 모형 탐색이다. 연구방법으로 문헌조사, 면담조사 및 연구협의회 등이 추진되었다. 문헌연구는 대학평생교육 …
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Dynamic magnetic field entanglement stabilization
2021 · Journal of the Optical Society of America B
A method for stabilizing oscillations and maximizing entanglement in a decoherence free Heisenberg spin dimer using a time varying magnetic field is presented. Unentangled and fully entangled initial states are investigated. A stabilizing magnetic field …
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Blockchain on Security and Forensics Management in Edge Computing for IoT: A Comprehensive Survey
2021 · IEEE Transactions on Network and Service Management
Security and forensics represent two key components for network management, especially to guarantee the trusted operation of massive access networks such as the Internet of Things (IoT). As a core technology to provide low latency …
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Business Scenario Driven Reinforcement Learning Testing Method
2023
Reinforcement learning has been successfully applied in software testing, but the existing testing methods cannot perform effective testing according to the characteristics of applications, and using outdated interactive experience during training, resulting in inefficient testing. …
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Personalized LoRA for Human-Centered Text Understanding
2024 · arXiv (Cornell University)
Effectively and efficiently adapting a pre-trained language model (PLM) for human-centered text understanding (HCTU) is challenging since user tokens are million-level in most personalized applications and do not have concrete explicit semantics. A standard and …
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Research on Emotionally Intelligent Dialogue Generation based on Automatic Dialogue System
2024 · arXiv (Cornell University)
Automated dialogue systems are important applications of artificial intelligence, and traditional systems struggle to understand user emotions and provide empathetic feedback. This study integrates emotional intelligence technology into automated dialogue systems and creates a dialogue …
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YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation
2024
This paper presents our systems for Task 7, Numeral-Aware Language Understanding and Generation of SemEval 2024.As participants of Task 7, we engage in all subtasks and implement corresponding systems for each subtask.All subtasks cover three …
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AnomalyAID: Reliable Interpretation for Semi-supervised Network Anomaly Detection
2024 · arXiv (Cornell University)
Semi-supervised Learning plays a crucial role in network anomaly detection applications, however, learning anomaly patterns with limited labeled samples is not easy. Additionally, the lack of interpretability creates key barriers to the adoption of semi-supervised …
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Pruning Self-Attention With Local and Syntactic Dependencies for Aspect Sentiment Triplet Extraction
2025 · IEEE Transactions on Audio Speech and Language Processing
Aspect-based sentiment triple extraction (ASTE) is a demanding and emerging subtask of aspect-based sentiment analysis (ABSA). The primary objective of ASTE is to extract aspect and opinion terms and their corresponding sentiment polarities from a …
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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 …