Search Results for author: Chao Deng

Found 27 papers, 9 papers with code

Plugin Speech Enhancement: A Universal Speech Enhancement Framework Inspired by Dynamic Neural Network

no code implementations20 Feb 2024 Yanan Chen, Zihao Cui, Yingying Gao, Junlan Feng, Chao Deng, Shilei Zhang

In this study, we present a novel weighting prediction approach, which explicitly learns the task relationships from downstream training information to address the core challenge of universal speech enhancement.

Data Augmentation Speech Enhancement

Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition

no code implementations1 Jan 2024 Ruizhuo Xu, Ke Wang, Chao Deng, Mei Wang, Xi Chen, Wenhui Huang, Junlan Feng, Weihong Deng

With the increasing availability of consumer depth sensors, 3D face recognition (FR) has attracted more and more attention.

Denoising Face Recognition

GenDistiller: Distilling Pre-trained Language Models based on Generative Models

no code implementations20 Oct 2023 Yingying Gao, Shilei Zhang, Zihao Cui, Yanhan Xu, Chao Deng, Junlan Feng

Self-supervised pre-trained models such as HuBERT and WavLM leverage unlabeled speech data for representation learning and offer significantly improve for numerous downstream tasks.

Knowledge Distillation Language Modelling +1

Fine-grained Recognition with Learnable Semantic Data Augmentation

1 code implementation1 Sep 2023 Yifan Pu, Yizeng Han, Yulin Wang, Junlan Feng, Chao Deng, Gao Huang

Since images belonging to the same meta-category usually share similar visual appearances, mining discriminative visual cues is the key to distinguishing fine-grained categories.

Data Augmentation Fine-Grained Image Recognition +2

SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation

1 code implementation22 Aug 2023 Lixiong Qin, Mei Wang, Chao Deng, Ke Wang, Xi Chen, Jiani Hu, Weihong Deng

To address the conflicts among multiple tasks and meet the different demands of tasks, a Multi-Level Channel Attention (MLCA) module is integrated into each task-specific analysis subnet, which can adaptively select the features from optimal levels and channels to perform the desired tasks.

Age Estimation Attribute +2

Dynamic Perceiver for Efficient Visual Recognition

1 code implementation ICCV 2023 Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang

Early exits are placed exclusively within the classification branch, thus eliminating the need for linear separability in low-level features.

Action Recognition Classification +4

MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting

no code implementations12 Jun 2023 Xing Wang, Zhendong Wang, Kexin Yang, Junlan Feng, Zhiyan Song, Chao Deng, Lin Zhu

To capture the intrinsic patterns of time series, we propose a novel deep learning network architecture, named Multi-resolution Periodic Pattern Network (MPPN), for long-term series forecasting.

Time Series Time Series Forecasting

ESCL: Equivariant Self-Contrastive Learning for Sentence Representations

no code implementations9 Mar 2023 Jie Liu, Yixuan Liu, Xue Han, Chao Deng, Junlan Feng

Previous contrastive learning methods for sentence representations often focus on insensitive transformations to produce positive pairs, but neglect the role of sensitive transformations that are harmful to semantic representations.

Contrastive Learning Multi-Task Learning +2

Federated Learning over Coupled Graphs

no code implementations26 Jan 2023 Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, Xiaohong Guan

In this work, we propose a novel FL framework for graph data, FedCog, to efficiently handle coupled graphs that are a kind of distributed graph data, but widely exist in a variety of real-world applications such as mobile carriers' communication networks and banks' transaction networks.

Federated Learning Node Classification

Learning to Weight Samples for Dynamic Early-exiting Networks

1 code implementation17 Sep 2022 Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang

Intuitively, easy samples, which generally exit early in the network during inference, should contribute more to training early classifiers.

Meta-Learning

Meta Auxiliary Learning for Low-resource Spoken Language Understanding

no code implementations26 Jun 2022 Yingying Gao, Junlan Feng, Chao Deng, Shilei Zhang

Spoken language understanding (SLU) treats automatic speech recognition (ASR) and natural language understanding (NLU) as a unified task and usually suffers from data scarcity.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Network Topology Optimization via Deep Reinforcement Learning

no code implementations19 Apr 2022 Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang

A2C-GS consists of three novel components, including a verifier to validate the correctness of a generated network topology, a graph neural network (GNN) to efficiently approximate topology rating, and a DRL actor layer to conduct a topology search.

Management reinforcement-learning +1

Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

no code implementations1 Nov 2021 Xing Wang, Juan Zhao, Lin Zhu, Xu Zhou, Zhao Li, Junlan Feng, Chao Deng, Yong Zhang

AMF-STGCN extends GCN by (1) jointly modeling the complex spatial-temporal dependencies in mobile networks, (2) applying attention mechanisms to capture various Receptive Fields of heterogeneous base stations, and (3) introducing an extra decoder based on a fully connected deep network to conquer the error propagation challenge with multi-step forecasting.

10-mega pixel snapshot compressive imaging with a hybrid coded aperture

1 code implementation30 Jun 2021 Zhihong Zhang, Chao Deng, Yang Liu, Xin Yuan, Jinli Suo, Qionghai Dai

Towards this end, snapshot compressive imaging (SCI) was proposed as a promising solution to improve the throughput of imaging systems by compressive sampling and computational reconstruction.

Carton dataset synthesis method for domain shift based on foreground texture decoupling and replacement

1 code implementation19 Mar 2021 Lijun Gou, Shengkai Wu, Jinrong Yang, Hangcheng Yu, Chenxi Lin, Xiaoping Li, Chao Deng

To solve this problem, a novel image synthesis method is proposed to replace the foreground texture of the source datasets with the texture of the target datasets.

Image Generation object-detection +1

Calibrating User Response Predictions in Online Advertising

no code implementations PKKDD 2020 Chao Deng, Hao Wang, Qing Tan, Jian Xu, and Kun Gai

Due to the sparsity and latency of the user response behaviors such as clicks and conversions, traditional calibration methods may not work well in real-world online advertising systems.

Adaptive Spatial-Temporal Inception Graph Convolutional Networks for Multi-step Spatial-Temporal Network Data Forecasting

no code implementations1 Jan 2021 Xing Wang, Lin Zhu, Juan Zhao, Zhou Xu, Zhao Li, Junlan Feng, Chao Deng

Spatial-temporal data forecasting is of great importance for industries such as telecom network operation and transportation management.

Management

GenAD: General Representations of Multivariate Time Series for Anomaly Detection

no code implementations1 Jan 2021 Xiaolei Hua, Su Wang, Lin Zhu, Dong Zhou, Junlan Feng, Yiting Wang, Chao Deng, Shuo Wang, Mingtao Mei

However, due to complex correlations and various temporal patterns of large-scale multivariate time series, a general unsupervised anomaly detection model with higher F1-score and Timeliness remains a challenging task.

Management Time Series +2

Relative wealth concerns with partial information and heterogeneous priors

no code implementations23 Jul 2020 Chao Deng, Xizhi Su, Chao Zhou

We observe that the agent with the most accurate prior estimate is likely to lead the herd, and the effect of competition on heterogeneous agents varies more with market characteristics compared to the homogeneous case.

Sogou Machine Reading Comprehension Toolkit

1 code implementation28 Mar 2019 Jindou Wu, Yunlun Yang, Chao Deng, Hongyi Tang, Bingning Wang, Haoze Sun, Ting Yao, Qi Zhang

In this paper, we present a Sogou Machine Reading Comprehension (SMRC) toolkit that can be used to provide the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.

Machine Reading Comprehension

Variational Autoencoders for Semi-supervised Text Classification

no code implementations8 Mar 2016 Weidi Xu, Haoze Sun, Chao Deng, Ying Tan

Although semi-supervised variational autoencoder (SemiVAE) works in image classification task, it fails in text classification task if using vanilla LSTM as its decoder.

General Classification Image Classification +2

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