Jian Wang
25 papers in the PaperMetrix corpus
Papers by this author
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Quantum Teleportation of an Arbitrary N-qubit State via EPR Channels
2015
This paper demonstrates that an arbitrary -qubit state can be faithfully and deterministically teleported from Alice to Bob via pairs of EPR channels. The analytical expression of the reconstruct criterion is derived explicitly in the …
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Correlation analysis between social network content and query intention
2015
Social network contains large amounts of user interests and preferences which may therefore help improve techniques for information retrieval, such as user profile construction and query expansion. By the manual annotation, we find that query …
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A Kind of Precision Recommendation Method for Massive Public Digital Cultural Resources: A Preliminary Report
2016
In this paper, we give a preliminary report regarding a precision recommendation method for massive public digital cultural resources, which help people find the resources they are really interested in. We classify the public digital …
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Multi-Bit Quantum Private Query
2015 · Communications in Theoretical Physics
Most of the existing Quantum Private Queries (QPQ) protocols provide only single-bit queries service, thus have to be repeated several times when more bits are retrieved. Wei et al.'s scheme for block queries requires a …
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HWDA: A coherence recognition and resolution algorithm for hybrid web data aggregation
2017 · IOP Conference Series Materials Science and Engineering
Aiming at the object confliction recognition and resolution problem for hybrid distributed data stream aggregation, a distributed data stream object coherence solution technology is proposed. Firstly, the framework was defined for the object coherence conflict …
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Weighted key enumeration for EM-based side-channel attacks
2018
Key enumeration algorithm is one of the useful post-analysis techniques for side-channel attacks to reduce the data complexity for successful key recovery. Normally, it is assumed that the merged key lists have similar quality since …
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Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning
2019
Aspect category detection is an essential task for sentiment analysis and opinion mining. However, the cost of categorical data labeling, e.g., label the review aspect information for a large number of product domains, can be …
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Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models
2019
Accurate prediction of fading channel in the upcoming transmission frame is essential to realize adaptive transmission for transmitters, and receivers with the ability of channel prediction can also save some computations of channel estimation. However, …
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Knowledge Graph Enhanced Third-Party Library Recommendation for Mobile Application Development
2020 · IEEE Access
With the prevalence of smart terminal devices and the rapid development of the mobile Internet, mobile application markets become increasingly prosperous. Third-party libraries have played an essential role in mobile application development. These libraries can …
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A Comparison of Machine Learning Algorithms for Automatic Cloud Resource Scaling on a Multi-Tenant Platform
2021 · Journal of Physics Conference Series
Abstract In an online multi-tenant machine learning platform, the system manager would dynamically load the computing resource according to the tenant’s demand. With cloud computing services, the platform can rent or release computing resources dynamically …
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The library has infinite streaming content, but are users infinitely content? The library catalog vs. vendor platform discovery
2020 · Journal of Electronic Resources Librarianship
Despite the widespread adoption of streaming video by academic libraries, there has been little discussion about how video content is discovered and accessed through the library catalog as compared to vendor platforms. This article explores …
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Deep Learning Framework for Online Interactive Service Recommendation in Iterative Mashup Development.
2021 · arXiv (Cornell University)
Recent years have witnessed the rapid development of service-oriented computing technologies. The boom of Web services increases the selection burden of software developers in developing service-based systems (such as mashups). How to recommend suitable follow-up …
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DDRM: A Continual Frequency Estimation Mechanism with Local Differential Privacy
2022 · IEEE Transactions on Knowledge and Data Engineering
Many applications rely on continual data collection to provide real-time information services, e.g., real-time road traffic forecasts. However, the collection of original data brings risks to user privacy. Recently, local differential privacy (LDP) has emerged …
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Blockchain Enabled Secure Authentication for Unmanned Aircraft Systems
2021 · arXiv (Cornell University)
The integration of air and ground smart vehicles is becoming a new paradigm of future transportation. A decent number of smart unmanned vehicles or UAS will be sharing the national airspace for various purposes, such …
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Named Entity Recognition Based on Pre-training Model and Multi-head Attention Mechanism
2023
When processing Chinese named entity recognition, the traditional algorithm model have been having the ambiguity of word segmentation and the singleness of the word vector, and the training consequence of algorithm models was not well. …
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Research on Node Collaborative Storage Method for Consortium Chain Ledger Data
2023
Blockchain as a technology for solving trust issues has received increasing attention, especially for consortium chains that combine the advantages of public and private chains, which have become very popular. However, as consortium chain applications …
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Uncertainty Quantification in Geochemical Mapping: A Review and Recommendations
2024 · Geochemistry Geophysics Geosystems
Abstract Geochemical mapping is a crucial tool that can provide valuable insights for a wide range of applications, including mineral resources prospecting, environmental impact assessment, geological process understanding, and climate change research. Despite its significance, …
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Multi-Objective Optimized Generative Adversarial Networks For Video Anomaly Detection
2023
The objective of video anomaly detection is to distinguish events within videos that deviate from expected normal behavior. An effective anomaly detection model requires strong spatio-temporal feature extraction capabilities to capture both appearance and motion …
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Self-Knowledge Distillation via Progressive Associative Learning
2024 · Electronics
As a specific form of knowledge distillation (KD), self-knowledge distillation enables a student network to progressively distill its own knowledge without relying on a pretrained, complex teacher network; however, recent studies of self-KD have discovered …
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RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment
2024 · arXiv (Cornell University)
Large Language Models (LLMs) like GPT-4, MedPaLM-2, and Med-Gemini achieve performance competitively with human experts across various medical benchmarks. However, they still face challenges in making professional diagnoses akin to physicians, particularly in efficiently gathering …
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Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight
2024 · arXiv (Cornell University)
This paper introduces Chain-of-Sight, a vision-language bridge module that accelerates the pre-training of Multimodal Large Language Models (MLLMs). Our approach employs a sequence of visual resamplers that capture visual details at various spacial scales. This …
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PE3DNet: A “Pull-Up” Action Quality Assessment Network Based on Fusion of RGB Image Data and Key Point Optical Flow
2024
“Pull-up” is a regular physical fitness test in high school and college physical education, and the traditional manual supervised assessment method has the problems of strong subjectivity, large error and low efficiency in the assessment …
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Experimental Demonstration of Quantum Nearest Centroid Classification Algorithm using Orbital Angular Momentum of Photons
2025
We experimentally demonstrate a classical simulation of the quantum nearest centroid classification algorithm using orbital angular momentum (OAM) modes of photons, achieving an impressive classification accuracy of 86.7% on the Iris dataset.
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FocusMed: A Large Language Model-based Framework for Enhancing Medical Question Summarization with Focus Identification
2025 · arXiv (Cornell University)
With the rapid development of online medical platforms, consumer health questions (CHQs) are inefficient in diagnosis due to redundant information and frequent non-professional terms. The medical question summary (MQS) task aims to transform CHQs into …
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An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition
2017 · Bioinformatics
Motivation: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction. However, most popular chemical NER methods are …