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Researcher profile

Yu Zhang

50 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Differentially Private High-Dimensional Data Publication via Sampling-Based Inference

    2015

    Releasing high-dimensional data enables a wide spectrum of data mining tasks. Yet, individual privacy has been a major obstacle to data sharing. In this paper, we consider the problem of releasing high-dimensional data with differential …

  2. Capturing the Semantics of Key Phrases Using Multiple Languages for Question Retrieval

    2015 · IEEE Transactions on Knowledge and Data Engineering

    In the age of Web 2.0, community user contributed questions and answers provide an important alternative for knowledge acquisition through web search. Question retrieval in current community-based question answering (CQA) services do not, in general, …

  3. Recurrent Neural Network Encoder with Attention for Community Question Answering

    2016 · arXiv (Cornell University)

    We apply a general recurrent neural network (RNN) encoder framework to community question answering (cQA) tasks. Our approach does not rely on any linguistic processing, and can be applied to different languages or domains. Further …

  4. Automatic Mobile Application Traffic Identification by Convolutional Neural Networks

    2016

    Mobile network security and management are becoming important issues, due to the rapid development and widespread of the mobile network. Application traffic identification is a critical technology to resolve these issues. A variety of traffic …

  5. An effective convolutional neural network model for Chinese sentiment analysis

    2017 · AIP conference proceedings

    Nowadays microblog is getting more and more popular. People are increasingly accustomed to expressing their opinions on Twitter, Facebook and Sina Weibo. Sentiment analysis of microblog has received significant attention, both in academia and in …

  6. SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity

    2017

    We describe a method of calculating the similarity between questions in community QA. Questions in cQA are usually very long and there are a lot of useless information about calculating the similarity between questions. Therefore, …

  7. Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

    2018 · arXiv (Cornell University)

    Motivation: State-of-the-art biomedical named entity recognition (BioNER) systems often require handcrafted features specific to each entity type, such as genes, chemicals and diseases. Although recent studies explored using neural network models for BioNER to free …

  8. Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy

    2017 · arXiv (Cornell University)

    When AI systems interact with humans in the loop, they are often called on to provide explanations for their plans and behavior. Past work on plan explanations primarily involved the AI system explaining the correctness …

  9. One-step implementation of a multi-target-qubit controlled phase gate with cat-state qubits in circuit QED

    2019 · arXiv (Cornell University)

    We propose a single-step implementation of a muti-target-qubit controlled phase gate with one cat-state qubit (\textit{cqubit}) simultaneously controlling $n-1$ target \textit{cqubits}. The two logic states of a \textit{cqubit} are represented by two orthogonal cat states …

  10. Generation of quantum entangled states of multiple groups of qubits distributed in multiple cavities

    2020 · Physical Review A

    Provided that cavities are initially in a Greenberger-Horne-Zeilinger (GHZ) entangled state, we show that GHZ states of $N$-group qubits distributed in $N$ cavities can be created via a three-step operation. The GHZ states of the …

  11. Correlation-Informed Permutation of Qubits for Reducing Ansatz Depth in the Variational Quantum Eigensolver

    2021 · PRX Quantum

    The variational quantum eigensolver (VQE) is a method of choice to solve the electronic structure problem for molecules on near-term gate-based quantum computers. However, the circuit depth is expected to grow significantly with the problem …

  12. A Spherical Search-based Archive Update Mechanism for Self-adaptive Differential Evolution

    2020

    Recently, meta-heuristic algorithms have been researched in quantity. However, there are no algorithms applying to different problems effectively and having notable difference compared with other meta-heuristic algorithm. Evolutionary algorithms are classical algorithms of nature-inspired metaheuristic …

  13. Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification

    2018 · Proceedings of the AAAI Conference on Artificial Intelligence

    Cross-domain sentiment classification aims to leverage useful information in a source domain to help do sentiment classification in a target domain that has no or little supervised information. Existing cross-domain sentiment classification methods cannot automatically …

  14. The Scheme of Security Requirement Acquisition Based on Knowledge Graph

    2020

    Specifying security requirements (SR) during the requirement analysis phase is essential for enhancing system quality, especially for security-critical software systems. However, it is difficult and complex to analyze SRs in detail according to ISO/IEC 15408 …

  15. A Quantum Circuit Optimization Framework Based on Pattern Matching

    2021 · SPIN

    In the NISQ era, quantum computers have insufficient qubits to support quantum error correction, which can only perform shallow quantum algorithms under noisy conditions. Aiming to improve the fidelity of quantum circuits, it is necessary …

  16. Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides

    2021 · Frontiers in Oncology

    Objectives To develop and validate a deep learning (DL)-based primary tumor biopsy signature for predicting axillary lymph node (ALN) metastasis preoperatively in early breast cancer (EBC) patients with clinically negative ALN. Methods A total of …

  17. Adversarial example defense based on image reconstruction

    2021 · PeerJ Computer Science

    The rapid development of deep neural networks (DNN) has promoted the widespread application of image recognition, natural language processing, and autonomous driving. However, DNN is vulnerable to adversarial examples, such as an input sample with …

  18. mSLAM: Massively multilingual joint pre-training for speech and text

    2022 · arXiv (Cornell University)

    We present mSLAM, a multilingual Speech and LAnguage Model that learns cross-lingual cross-modal representations of speech and text by pre-training jointly on large amounts of unlabeled speech and text in multiple languages. mSLAM combines w2v-BERT …

  19. New Media College Students’ Education Evaluation System Based on Improved CW-CPCC Algorithm

    2022 · Mobile Information Systems

    The strengthening of comprehensive quality education of college students in colleges and universities has been more and more concerned and accepted by people. The educational evaluation of college students should not only conform to the …

  20. Dissecting Service Mesh Overheads

    2022 · arXiv (Cornell University)

    Service meshes play a central role in the modern application ecosystem by providing an easy and flexible way to connect different services that form a distributed application. However, because of the way they interpose on …

  21. Experimental investigation of wave-particle duality relations in asymmetric beam interference

    2022 · npj Quantum Information

    Abstract Wave-particle duality relations are fundamental for quantum physics. Previous experimental studies of duality relations mainly focus on the quadratic relation D 2 + V 2 ≤ 1, based on symmetric beam interference, while a …

  22. 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 …

  23. A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis

    2022 · arXiv (Cornell University)

    In human speech, the attitude of a speaker cannot be fully expressed only by the textual content. It has to come along with the intonation. Declarative questions are commonly used in daily Cantonese conversations, and …

  24. GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction

    2022 · arXiv (Cornell University)

    In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model. This model generalizes graph diffusion in different feature spaces, and uses the inception module to avoid the large amount of computations caused by complex …

  25. LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT

    2022 · arXiv (Cornell University)

    Self-supervised speech representation learning has shown promising results in various speech processing tasks. However, the pre-trained models, e.g., HuBERT, are storage-intensive Transformers, limiting their scope of applications under low-resource settings. To this end, we propose …

  26. QCIR

    2022

    Due to multiple limitations of quantum computers in the NISQ era, quantum compilation efforts are required to efficiently execute quantum algorithms on NISQ devices Program rewriting based on pattern matching can improve the generalization ability …

  27. G<scp>otta</scp>: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation

    2023 · Society for Industrial and Applied Mathematics eBooks

    Few-shot question answering (QA) aims at precisely discovering answers to a set of questions from context passages while only a few training samples are available. Although existing studies have made some progress and can usually …

  28. MLST-FENet: Network traffic classification based on multilevel spatiotemporal feature fusion enhancement

    2023 · Research Square

    Abstract Network traffic classification is an important task for ensuring network security and managing resources. The existing solution strategies are based on predefined features extracted by experts, which leads to high uncertainty when applied to …

  29. Multi-Scale Contrastive Learning Based Heterogeneous Graph Embedding

    2023

    Recently, heterogeneous graph contrastive learning has been widely explored as a self-supervised solution for heterogeneous information network embedding. However, based on contrastive learning, most existing graph expansion proposals fail to extract heterogeneous information adequately, and …

  30. Prompt learning for metonymy resolution: Enhancing performance with internal prior knowledge of pre-trained language models

    2023 · Knowledge-Based Systems

    Linguistic metonymy is a common type of figurative language in natural language processing (NLP), where a concept is represented by a closely associated word or phrase, for example “business executives suits”. As a result, metonymy …

  31. Adversarial Attacks on Video Object Segmentation with Hard Region Discovery

    2023 · arXiv (Cornell University)

    Video object segmentation has been applied to various computer vision tasks, such as video editing, autonomous driving, and human-robot interaction. However, the methods based on deep neural networks are vulnerable to adversarial examples, which are …

  32. Noncyclic nonadiabatic geometric quantum gates in a superconducting circuit

    2023 · Physical Review Applied

    Quantum gates based on geometric phases possess intrinsic noise-resilience features and attract much attention. However, the implementations of previous geometric quantum computation typically require a long pulse time of gates. As a result, their experimental …

  33. A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting

    2023 · arXiv (Cornell University)

    Despite the progress made in domain adaptation, solving Unsupervised Domain Adaptation (UDA) problems with a general method under complex conditions caused by label shifts between domains remains a formidable task. In this work, we comprehensively …

  34. Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model

    2023

    Deep reinforcement learning (DRL) algorithms have proven effective in robot navigation, especially in unknown environments, by directly mapping perception inputs into robot control commands. However, most existing methods ignore the local minimum problem in navigation …

  35. Dual-Path Side Information Fusion for Sequential Recommendation

    2023

    Sequential recommendations are designed to capture user preferences based on their past actions and predict the items they may interact with in the next moment. Benefiting from the self-attention mechanism, methods that utilize side information …

  36. An E-health System Recognizing Vegetable Images Using Extreme Learning Machine

    2023

    Smart devices are increasingly important in daily life as they can provide information and capture usage behavior. This paper proposes a machine learning-based system to assist in human health management on smart devices. The system …

  37. From Abstractions to Grounded Languages for Robust Coordination of Task Planning Robots

    2019 · arXiv (Cornell University)

    In this paper, we consider a first step to bridge a gap in coordinating task planning robots. Specifically, we study the automatic construction of languages that are maximally flexible while being sufficiently explicative for coordination. …

  38. Semantic Time-Geographic Modelling and Analysis

    2024 · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

    Abstract. Time geography is a powerful framework that provides a set of well-defined space-time entities and relationships for representing human activity-travel behaviors under various space-time constraints. The classical time-geographic framework focuses on only the geometric …

  39. Enhancing implicit sentiment analysis via knowledge enhancement and context information

    2025 · Complex & Intelligent Systems

    Sentiment analysis (SA) is a vital research direction in natural language processing (NLP). Compared with the widely-concerned explicit sentiment analysis, implicit sentiment analysis (ISA) is more challenging and rarely studied due to the lack of …

  40. Attribute-Weighted Time Surface-Based Denoising Method for Space Object Event Streams

    2025 · IEEE Sensors Journal

    Event streams generated by Dynamic Vision Sensors (DVS) for space object detection often contain substantial background noise. Existing denoising methods face challenges in balancing the preservation of useful events, noise removal, and real-time processing. In …

  41. A New Energy-efficient Distribution Transformer Evaluation System Based on CensNet Graph Neural Network

    2024

    As one of the core equipments of the new power distribution system, the quality of its products has a direct impact on the reliable access to distributed power sources and the supply and distribution of …

  42. Estimated Informed Anytime Search for Sampling-Based Planning via Adaptive Sampler

    2025 · IEEE Transactions on Automation Science and Engineering

    Path planning in robotics often involves solving continuously valued, high-dimensional problems. Popular informed approaches include graph-based searches, such as A*, and sampling-based methods, such as Informed RRT*, which utilize informed set and anytime strategies to …

  43. A Perspective on Quantum Computing Applications in Quantum Chemistry using 25--100 Logical Qubits

    2025 · arXiv (Cornell University)

    The intersection of quantum computing and quantum chemistry represents a promising frontier for achieving quantum utility in domains of both scientific and societal relevance. Owing to the exponential growth of classical resource requirements for simulating …

  44. Flexible End-to-End Dialogue System for Knowledge Grounded Conversation

    2017 · arXiv (Cornell University)

    In knowledge grounded conversation, domain knowledge plays an important role in a special domain such as Music. The response of knowledge grounded conversation might contain multiple answer entities or no entity at all. Although existing …

  45. Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

    2017 · arXiv (Cornell University)

    This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text. The system is composed of a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, followed by …

  46. CoNet

    2018

    The cross-domain recommendation technique is an effective way of alleviating the data sparse issue in recommender systems by leveraging the knowledge from relevant domains. Transfer learning is a class of algorithms underlying these techniques. In …

  47. Bytes Are All You Need: End-to-end Multilingual Speech Recognition and Synthesis with Bytes

    2019

    We present two end-to-end models: Audio-to-Byte (A2B) and Byte-to-Audio (B2A), for multilingual speech recognition and synthesis. Prior work has predominantly used characters, sub-words or words as the unit of choice to model text. These units …

  48. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

    2018

    This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text. The system is composed of a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, followed by …

  49. Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning

    2019

    We present a multispeaker, multilingual text-to-speech (TTS) synthesis model based on Tacotron that is able to produce high quality speech in multiple languages.Moreover, the model is able to transfer voices across languages, e.g.synthesize fluent Spanish …

  50. Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit

    2020

    This paper introduces a new end-to-end text-to-speech (E2E-TTS) toolkit named ESPnet-TTS, which is an extension of the open-source speech processing toolkit ESPnet. The toolkit supports state-of- the-art E2E-TTS models, including Tacotron 2, Transformer TTS, and …