Qiang Huang | DeepAI

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Xin Wang
382 publications
Ce Zhang
133 publications
Yong Xu
109 publications
fcq
109 publications
Bo Du
94 publications
Wenwu Wang
79 publications
Mark D. Plumbley
72 publications
Dawei Yin
69 publications
Yuan Tian
69 publications
Mohan Kankanhalli
68 publications
Yi Chang
67 publications

∙ 09/07/2023

TSGBench: Time Series Generation Benchmark

Synthetic Time Series Generation (TSG) is crucial in a range of applicat...

0 Yihao Ang, et al. ∙

∙ 08/31/2023

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

To handle graphs in which features or connectivities are evolving over t...

0 Qiang Huang, et al. ∙

∙ 08/22/2023

Does Misclassifying Non-confounding Covariates as Confounders Affect the Causal Inference within the Potential Outcomes Framework?

The Potential Outcome Framework (POF) plays a prominent role in the fiel...

0 Yonghe Zhao, et al. ∙

∙ 08/02/2023

VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference

Causal inference plays a vital role in diverse domains like epidemiology...

0 Yonghe Zhao, et al. ∙

∙ 07/24/2023

De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network

Counterfactual inference for continuous rather than binary treatment var...

0 Yonghe Zhao, et al. ∙

∙ 02/21/2023

Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search

Finding the nearest neighbor to a hyperplane (or Point-to-Hyperplane Nea...

0 Qiang Huang, et al. ∙

∙ 02/03/2023

Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization

In this work, we aim at an important but less explored problem of a simp...

0 Yingying Zhu, et al. ∙

∙ 01/15/2023

Improving Reliability of Fine-tuning with Block-wise Optimisation

Finetuning can be used to tackle domain-specific tasks by transferring k...

0 Basel Barakat, et al. ∙

∙ 11/23/2022

SAH: Shifting-aware Asymmetric Hashing for Reverse k-Maximum Inner Product Search

This paper investigates a new yet challenging problem called Reverse k-M...

0 Qiang Huang, et al. ∙

∙ 02/22/2022

DIOT: Detecting Implicit Obstacles from Trajectories

In this paper, we study a new data mining problem of obstacle detection ...

0 Yifan Lei, et al. ∙

∙ 09/21/2021

Unsupervised Abstract Reasoning for Raven's Problem Matrices

Raven's Progressive Matrices (RPM) is highly correlated with human intel...

0 Tao Zhuo, et al. ∙

∙ 06/19/2021

A Generic Distributed Clustering Framework for Massive Data

In this paper, we introduce a novel Generic distributEd clustEring frame...

0 Pingyi Luo, et al. ∙

∙ 10/29/2020

T-vectors: Weakly Supervised Speaker Identification Using Hierarchical Transformer Model

Identifying multiple speakers without knowing where a speaker's voice is...

0 Yanpei Shi, et al. ∙

∙ 10/21/2020

Improving Audio Anomalies Recognition Using Temporal Convolutional Attention Network

Anomalous audio in speech recordings is often caused by speaker voice di...

0 Qiang Huang, et al. ∙

∙ 05/16/2020

Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models

Many applications of speech technology require more and more audio data....

0 Qiang Huang, et al. ∙

∙ 05/15/2020

Speaker Re-identification with Speaker Dependent Speech Enhancement

While the use of deep neural networks has significantly boosted speaker ...

0 Yanpei Shi, et al. ∙

∙ 05/15/2020

Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification

Identifying multiple speakers without knowing where a speaker's voice is...

0 Yanpei Shi, et al. ∙

∙ 04/11/2020

Locality-Sensitive Hashing Scheme based on Longest Circular Co-Substring

Locality-Sensitive Hashing (LSH) is one of the most popular methods for ...

0 Yifan Lei, et al. ∙

∙ 01/17/2020

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Graph structured data has wide applicability in various domains such as ...

22 Qiang Huang, et al. ∙

∙ 01/14/2020

Robust Speaker Recognition Using Speech Enhancement And Attention Model

In this paper, a novel architecture for speaker recognition is proposed ...

0 Yanpei Shi, et al. ∙

∙ 11/18/2019

Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems

Question Answering (QA) systems are used to provide proper responses to ...

0 Qiang Huang, et al. ∙

∙ 10/17/2019

H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model

In this paper, a hierarchical attention network to generate utterance-le...

0 Yanpei Shi, et al. ∙

∙ 10/16/2019

Contextual Joint Factor Acoustic Embeddings

Embedding acoustic information into fixed length representations is of i...

0 Yanpei Shi, et al. ∙

∙ 09/24/2019

Improving Robustness In Speaker Identification Using A Two-Stage Attention Model

In this paper a novel framework to tackle speaker recognition using a tw...

0 Yanpei Shi, et al. ∙

∙ 02/24/2017

Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging

Environmental audio tagging is a newly proposed task to predict the pres...

0 Yong Xu, et al. ∙

∙ 07/13/2016

Hierarchical learning for DNN-based acoustic scene classification

In this paper, we present a deep neural network (DNN)-based acoustic sce...

0 Yong Xu, et al. ∙

∙ 07/13/2016

Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging

Environmental audio tagging aims to predict only the presence or absence...

0 Yong Xu, et al. ∙

∙ 06/24/2016

Fully DNN-based Multi-label regression for audio tagging

Acoustic event detection for content analysis in most cases relies on lo...

0 Yong Xu, et al. ∙

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