b'Chao Zhang'

Hybrid Quantum-Classical Graph Convolutional Network

The high energy physics (HEP) community has a long history of dealing wi...
01/15/2021 ∙ by Samuel Yen-Chi Chen, et al. ∙ 0 ∙ share

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Theory-based Habit Modeling for Enhancing Behavior Prediction

Psychological theories of habit posit that when a strong habit is formed...
01/05/2021 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Quantum Convolutional Neural Networks for High Energy Physics Data Analysis

This work presents a quantum convolutional neural network (QCNN) for the...
12/22/2020 ∙ by Samuel Yen-Chi Chen, et al. ∙ 0 ∙ share

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Partial Gromov-Wasserstein Learning for Partial Graph Matching

Graph matching finds the correspondence of nodes across two graphs and i...
12/02/2020 ∙ by Weijie Liu, et al. ∙ 0 ∙ share

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SAR-Net: A End-to-End Deep Speech Accent Recognition Network

This paper proposes a end-to-end deep network to recognize kinds of acce...
11/25/2020 ∙ by Wei Wang, et al. ∙ 0 ∙ share

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Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis

Despite prosody is related to the linguistic information up to the disco...
11/06/2020 ∙ by Guanghui Xu, et al. ∙ 0 ∙ share

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Emotion recognition by fusing time synchronous and time asynchronous representations

In this paper, a novel two-branch neural network model structure is prop...
10/27/2020 ∙ by Wen Wu, et al. ∙ 0 ∙ share

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Multi-Slot Over-The-Air Computation in Fading Channels

IoT systems typically involve separate data collection and processing, a...
10/23/2020 ∙ by Suhua Tang, et al. ∙ 0 ∙ share

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Combination of Deep Speaker Embeddings for Diarisation

Recently, significant progress has been made in speaker diarisation afte...
10/22/2020 ∙ by Guangzhi Sun, et al. ∙ 0 ∙ share

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Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

Fine-tuned pre-trained language models can suffer from severe miscalibra...
10/22/2020 ∙ by Lingkai Kong, et al. ∙ 2 ∙ share

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Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction

We study the problem of event extraction from text data, which requires ...
10/21/2020 ∙ by Rui Feng, et al. ∙ 0 ∙ share

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COSEA: Convolutional Code Search with Layer-wise Attention

Semantic code search, which aims to retrieve code snippets relevant to a...
10/19/2020 ∙ by Hao Wang, et al. ∙ 16 ∙ share

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A two-stage fourth-order gas-kinetic CPR method for the Navier-Stokes equations on triangular meshes

A highly efficient gas-kinetic scheme with fourth-order accuracy in both...
10/18/2020 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

Fine-tuned pre-trained language models (LMs) achieve enormous success in...
10/15/2020 ∙ by Yue Yu, et al. ∙ 0 ∙ share

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Text Classification Using Label Names Only: A Language Model Self-Training Approach

Current text classification methods typically require a good number of h...
10/14/2020 ∙ by Yu Meng, et al. ∙ 0 ∙ share

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Denoising Multi-Source Weak Supervision for Neural Text Classification

We study the problem of learning neural text classifiers without using a...
10/09/2020 ∙ by Wendi Ren, et al. ∙ 0 ∙ share

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SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup

Active learning is an important technique for low-resource sequence labe...
10/05/2020 ∙ by Rongzhi Zhang, et al. ∙ 0 ∙ share

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A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling

We study the problem of modeling human mobility from semantic trace data...
10/05/2020 ∙ by Wanzheng Zhu, et al. ∙ 1 ∙ share

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Transformer-Based Neural Text Generation with Syntactic Guidance

We study the problem of using (partial) constituency parse trees as synt...
10/05/2020 ∙ by Yinghao Li, et al. ∙ 0 ∙ share

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SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization

Thanks to the increasing availability of drug-drug interactions (DDI) da...
10/04/2020 ∙ by Yue Yu, et al. ∙ 0 ∙ share

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Exploring the Hierarchy in Relation Labels for Scene Graph Generation

By assigning each relationship a single label, current approaches formul...
09/12/2020 ∙ by Yi Zhou, et al. ∙ 11 ∙ share

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Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization

Graph neural networks (GNNs) have been shown with superior performance i...
09/11/2020 ∙ by Qi Zhu, et al. ∙ 36 ∙ share

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Continuous Color Transfer

Color transfer, which plays a key role in image editing, has attracted n...
08/31/2020 ∙ by Chunzhi Gu, et al. ∙ 3 ∙ share

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SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates

Uncertainty quantification is a fundamental yet unsolved problem for dee...
08/24/2020 ∙ by Lingkai Kong, et al. ∙ 22 ∙ share

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Reconfigurable Intelligent Surfaces Aided Multi-Cell NOMA Networks: A Stochastic Geometry Model

By activating blocked users and altering successive interference cancell...
08/17/2020 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Neural Kalman Filtering for Speech Enhancement

Statistical signal processing based speech enhancement methods adopt exp...
07/28/2020 ∙ by Wei Xue, et al. ∙ 0 ∙ share

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Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Mining a set of meaningful topics organized into a hierarchy is intuitiv...
07/18/2020 ∙ by Yu Meng, et al. ∙ 0 ∙ share

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Deep Patch-based Human Segmentation

3D human segmentation has seen noticeable progress in re-cent years. It,...
07/11/2020 ∙ by Dongbo Zhang, et al. ∙ 24 ∙ share

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BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

We study the open-domain named entity recognition (NER) problem under di...
06/28/2020 ∙ by Chen Liang, et al. ∙ 1 ∙ share

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Semi-Grant-Free NOMA: A Stochastic Geometry Model

Grant-free (GF) transmission holds promise in terms of low latency commu...
06/23/2020 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Downlink Analysis for Reconfigurable Intelligent Surfaces Aided NOMA Networks

By activating blocked users and altering successive interference cancell...
06/23/2020 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Wasserstein Autoregressive Models for Density Time Series

Data consisting of time-indexed distributions of cross-sectional or intr...
06/22/2020 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Partially-Typed NER Datasets Integration: Connecting Practice to Theory

While typical named entity recognition (NER) models require the training...
05/01/2020 ∙ by Shi Zhi, et al. ∙ 5 ∙ share

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paper2repo: GitHub Repository Recommendation for Academic Papers

GitHub has become a popular social application platform, where a large n...
04/13/2020 ∙ by Huajie Shao, et al. ∙ 0 ∙ share

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Simulating Noisy Quantum Circuits with Matrix Product Density Operators

Simulating quantum circuits with classical computers requires resources ...
04/06/2020 ∙ by Song Cheng, et al. ∙ 0 ∙ share

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SHX: Search History Driven Crossover for Real-Coded Genetic Algorithm

In evolutionary algorithms, genetic operators iteratively generate new o...
03/30/2020 ∙ by Takumi Nakane, et al. ∙ 0 ∙ share

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Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Neural Architecture Search (NAS) has achieved great success in image cla...
03/26/2020 ∙ by Jianyuan Guo, et al. ∙ 4 ∙ share

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Performance Analysis of Millimeter Wave Wireless Power Transfer With Imperfect Beam Alignment

In this paper, the impact of imperfect beam alignment (IBA) on millimete...
03/23/2020 ∙ by Man Wang, et al. ∙ 0 ∙ share

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Heterogeneous Millimeter Wave Wireless Power Transfer With Poisson Cluster Processes

In this paper, we analyze the energy coverage performance of heterogeneo...
03/19/2020 ∙ by Fangzhou Yu, et al. ∙ 0 ∙ share

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G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data

In this paper we attempt to address the problem of geometric multi-model...
01/20/2020 ∙ by Chao Zhang, et al. ∙ 7 ∙ share

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Evolution of Ethereum: A Temporal Graph Perspective

Ethereum is one of the most popular blockchain systems that supports mor...
01/15/2020 ∙ by Qianlan Bai, et al. ∙ 0 ∙ share

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Energy-Efficient MIMO Multiuser Systems: Nash Equilibrium Analysis

In this paper, an energy efficiency (EE) game in a MIMO multiple access ...
11/18/2019 ∙ by Hang Zou, et al. ∙ 0 ∙ share

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Multimodal Intelligence: Representation Learning, Information Fusion, and Applications

Deep learning has revolutionized speech recognition, image recognition, ...
11/10/2019 ∙ by Chao Zhang, et al. ∙ 9 ∙ share

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Improved Large-margin Softmax Loss for Speaker Diarisation

Speaker diarisation systems nowadays use embeddings generated from speec...
11/10/2019 ∙ by Yassir Fathullah, et al. ∙ 0 ∙ share

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Spherical Text Embedding

Unsupervised text embedding has shown great power in a wide range of NLP...
11/04/2019 ∙ by Yu Meng, et al. ∙ 0 ∙ share

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Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification

Person re-identification is a challenging task due to various complex fa...
10/22/2019 ∙ by Jianyuan Guo, et al. ∙ 8 ∙ share

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Recent Advances on HEVC Inter-frame Coding: From Optimization to Implementation and Beyond

High Efficiency Video Coding (HEVC) has doubled the video compression ra...
10/22/2019 ∙ by Yongfei Zhang, et al. ∙ 0 ∙ share

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Discriminative Neural Clustering for Speaker Diarisation

This paper proposes a novel method for supervised data clustering. The c...
10/22/2019 ∙ by Qiujia Li, et al. ∙ 0 ∙ share

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Efficient Projection-Free Online Methods with Stochastic Recursive Gradient

This paper focuses on projection-free methods for solving smooth Online ...
10/21/2019 ∙ by Jiahao Xie, et al. ∙ 0 ∙ share

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Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning

This paper focuses on projection-free methods for solving smooth Online ...
10/21/2019 ∙ by Jiahao Xie, et al. ∙ 0 ∙ share

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Chao Zhang

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