Search Results for author: Zhao Wang

Found 18 papers, 6 papers with code

Rethinking Multi-Modal Alignment in Video Question Answering from Feature and Sample Perspectives

no code implementations25 Apr 2022 Shaoning Xiao, Long Chen, Kaifeng Gao, Zhao Wang, Yi Yang, Jun Xiao

From the view of feature, we break down the video into trajectories and first leverage trajectory feature in VideoQA to enhance the alignment between two modalities.

Frame Question Answering +1

Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients

1 code implementation7 Apr 2022 Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama

We propose federation of unsupervised learning (FedUL), where the unlabeled data are transformed into surrogate labeled data for each of the clients, a modified model is trained by supervised FL, and the wanted model is recovered from the modified model.

Federated Learning

Self-attention based anchor proposal for skeleton-based action recognition

no code implementations17 Dec 2021 Ruijie Hou, Zhao Wang

Skeleton sequences are widely used for action recognition task due to its lightweight and compact characteristics.

Action Recognition Skeleton Based Action Recognition

Enhancing Model Robustness and Fairness with Causality: A Regularization Approach

1 code implementation EMNLP (CINLP) 2021 Zhao Wang, Kai Shu, Aron Culotta

In this paper, we propose a simple and intuitive regularization approach to integrate causal knowledge during model training and build a robust and fair model by emphasizing causal features and de-emphasizing spurious features.

Causal Inference Fairness

Unsupervised Federated Learning is Possible

no code implementations ICLR 2022 Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama

We propose federation of unsupervised learning (FedUL), where the unlabeled data are transformed into surrogate labeled data for each of the clients, a modified model is trained by supervised FL, and the wanted model is recovered from the modified model.

Federated Learning

End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization

no code implementations1 Jul 2021 Shurun Wang, Zhao Wang, Shiqi Wang, Yan Ye

In this paper, we show that the design and optimization of network architecture could be further improved for compression towards machine vision.

Object Detection

Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent

no code implementations15 Apr 2021 Zhao Wang, Yifan Hu, Jun Xiao, Chao Wu

A novel ring FL topology as well as a map-reduce based synchronizing method are designed in the proposed RDFL to improve decentralized FL performance and bandwidth utilization.

Federated Learning

Multi-Density Attention Network for Loop Filtering in Video Compression

no code implementations8 Apr 2021 Zhao Wang, Changyue Ma, Yan Ye

In this paper, we propose a on-line scaling based multi-density attention network for loop filtering in video compression.

Video Compression

A Cross Channel Context Model for Latents in Deep Image Compression

no code implementations4 Mar 2021 Changyue Ma, Zhao Wang, Ruling Liao, Yan Ye

The proposed cross channel context model is combined with the joint autoregressive and hierarchical prior entropy model.

Image Compression MS-SSIM +1

Minimization of ion micromotion with artificial neural network

no code implementations3 Mar 2021 Yang Liu, Qi-feng Lao, Peng-fei Lu, Xin-xin Rao, Hao Wu, Teng Liu, Kun-xu Wang, Zhao Wang, Ming-shen Li, Feng Zhu, Luo Le

Minimizing the micromotion of the single trapped ion in a linear Paul trap is a tedious and time-consuming work, but is of great importance in cooling the ion into the motional ground state as well as maintaining long coherence time, which is crucial for quantum information processing and quantum computation.

Atomic Physics Quantum Physics

Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals

1 code implementation18 Dec 2020 Zhao Wang, Aron Culotta

However, the classifier trained on the combined data is more robust and performs well on both the original test data and the counterfactual test data (e. g., 12%-25% increase in accuracy compared with the traditional classifier).

General Classification Text Classification

Identifying Spurious Correlations for Robust Text Classification

1 code implementation Findings of the Association for Computational Linguistics 2020 Zhao Wang, Aron Culotta

The predictions of text classifiers are often driven by spurious correlations -- e. g., the term `Spielberg' correlates with positively reviewed movies, even though the term itself does not semantically convey a positive sentiment.

Classification General Classification +3

Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging

no code implementations6 Oct 2020 Zhao Wang, Jennifer Cutler, Aron Culotta

Often, this public messaging is aimed at aligning the entity with a particular cause or issue, such as the environment or public health.

Text Classification

Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification

1 code implementation15 Sep 2020 Zhao Wang, Quande Liu, Qi Dou

The pandemic of coronavirus disease 2019 (COVID-19) has lead to a global public health crisis spreading hundreds of countries.

COVID-19 Diagnosis General Classification

Neural Architecture Search on Acoustic Scene Classification

no code implementations30 Dec 2019 Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu

Convolutional neural networks are widely adopted in Acoustic Scene Classification (ASC) tasks, but they generally carry a heavy computational burden.

Acoustic Scene Classification Classification +3

When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation

no code implementations12 Nov 2018 Zhao Wang, Aron Culotta

However, we lack general methods for estimating the causal effect of lexical choice on the perception of a specific sentence.

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