b'Chao Zhang'

Image Deformation Estimation via Multi-Objective Optimization

The free-form deformation model can represent a wide range of non-rigid ...
06/08/2021 ∙ by Takumi Nakane, et al. ∙ 0 ∙ share

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When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting

Accurate and trustworthy epidemic forecasting is an important problem th...
06/07/2021 ∙ by Harshavardhan Kamarthi, et al. ∙ 17 ∙ share

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Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling

Data clustering is an instrumental tool in the area of energy resource m...
06/02/2021 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Diffuse interface relaxation model for two-phase compressible flows with diffusion processes

The paper addresses a two-temperature model for simulating compressible ...
06/01/2021 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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A Federated Learning Framework for Nonconvex-PL Minimax Problems

We consider a general class of nonconvex-PL minimax problems in the cros...
05/29/2021 ∙ by Jiahao Xie, et al. ∙ 0 ∙ share

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BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition

We study the problem of learning a named entity recognition (NER) tagger...
05/26/2021 ∙ by Yinghao Li, et al. ∙ 10 ∙ share

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Automatic View Selection in Graph Databases

Recently, several works have studied the problem of view selection in gr...
05/19/2021 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Sketch-based Normal Map Generation with Geometric Sampling

Normal map is an important and efficient way to represent complex 3D mod...
04/23/2021 ∙ by Yi He, et al. ∙ 0 ∙ share

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DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning

Face deepfake detection has seen impressive results recently. Nearly all...
04/23/2021 ∙ by Sheldon Fung, et al. ∙ 268 ∙ share

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Analysis of the tradeoff between health and economic impacts of the Covid-19 epidemic

Various measures have been taken in different countries to mitigate the ...
04/12/2021 ∙ by Samson Lasaulce, et al. ∙ 0 ∙ share

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Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods

Because of the fast advance rate and the improved personnel safety, tunn...
04/12/2021 ∙ by Xianjie Gao, et al. ∙ 0 ∙ share

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A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds

In this paper, we propose a Riemannian smoothing steepest descent method...
04/09/2021 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Semantic Scene Completion via Integrating Instances and Scene in-the-Loop

Semantic Scene Completion aims at reconstructing a complete 3D scene wit...
04/08/2021 ∙ by Yingjie Cai, et al. ∙ 0 ∙ share

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A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training

This paper presents a novel natural gradient and Hessian-free (NGHF) opt...
03/12/2021 ∙ by Adnan Haider, et al. ∙ 0 ∙ share

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Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions

Reinforcement learning (RL) agents in human-computer interactions applic...
03/10/2021 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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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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Chao Zhang

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