Search Results for author: Yuchen Liu

Found 22 papers, 5 papers with code

CalFAT: Calibrated Federated Adversarial Training with Label Skewness

no code implementations30 May 2022 Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu

In this paper, we study the problem of FAT under label skewness, and firstly reveal one root cause of the training instability and natural accuracy degradation issues: skewed labels lead to non-identical class probabilities and heterogeneous local models.

Adversarial Robustness Federated Learning

M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database

1 code implementation ACL 2022 Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li

In this work, we propose a Multi-modal Multi-scene Multi-label Emotional Dialogue dataset, M3ED, which contains 990 dyadic emotional dialogues from 56 different TV series, a total of 9, 082 turns and 24, 449 utterances.

Emotion Recognition

Subspace Nonnegative Matrix Factorization for Feature Representation

1 code implementation18 Apr 2022 Junhang Li, Jiao Wei, Can Tong, Tingting Shen, Yuchen Liu, Chen Li, Shouliang Qi, YuDong Yao, Yueyang Teng

Traditional nonnegative matrix factorization (NMF) learns a new feature representation on the whole data space, which means treating all features equally.

Multi-modal Emotion Estimation for in-the-wild Videos

no code implementations24 Mar 2022 Liyu Meng, Yuchen Liu, Xiaolong Liu, Zhaopei Huang, Yuan Cheng, Meng Wang, Chuanhe Liu, Qin Jin

In this paper, we briefly introduce our submission to the Valence-Arousal Estimation Challenge of the 3rd Affective Behavior Analysis in-the-wild (ABAW) competition.

Arousal Estimation

Evolving Transferable Pruning Functions

no code implementations21 Oct 2021 Yuchen Liu, S. Y. Kung, David Wentzlaff

Channel pruning has made major headway in the design of efficient deep learning models.

Class-Discriminative CNN Compression

no code implementations21 Oct 2021 Yuchen Liu, David Wentzlaff, S. Y. Kung

We then propose a novel layer-adaptive hierarchical pruning approach, where we use a coarse class discrimination scheme for early layers and a fine one for later layers.

MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation

1 code implementation ACL 2021 Jingwen Hu, Yuchen Liu, Jinming Zhao, Qin Jin

Emotion recognition in conversation (ERC) is a crucial component in affective dialogue systems, which helps the system understand users' emotions and generate empathetic responses.

Benchmark Emotion Recognition in Conversation

Content-Aware GAN Compression

1 code implementation CVPR 2021 Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, S. Y. Kung

We then propose a novel content-aware method to guide the processes of both pruning and distillation.

Image Generation Image Manipulation +1

Finite generation for valuations computing stability thresholds and applications to K-stability

no code implementations18 Feb 2021 Yuchen Liu, Chenyang Xu, Ziquan Zhuang

We prove that on any log Fano pair of dimension $n$ whose stability threshold is less than $\frac{n+1}{n}$, any valuation computing the stability threshold has a finitely generated associated graded ring.

Algebraic Geometry Differential Geometry

Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization

no code implementations ICCV 2021 Yaoming Wang, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Existing differentiable neural architecture search approaches simply assume the architectural distribution on each edge is independent of each other, which conflicts with the intrinsic properties of architecture.

Neural Architecture Search

Emotions in Online Content Diffusion

no code implementations17 Nov 2020 Yifan Yu, Shan Huang, Yuchen Liu, Yong Tan

We apply a partial-linear instrumental variable approach with a double machine learning framework to causally identify the impact of the negative discrete emotions on online content diffusion.

Bridging the Modality Gap for Speech-to-Text Translation

no code implementations28 Oct 2020 Yuchen Liu, Junnan Zhu, Jiajun Zhang, Chengqing Zong

End-to-end speech translation aims to translate speech in one language into text in another language via an end-to-end way.

Speech-to-Text Translation Translation

Rethinking Class-Discrimination Based CNN Channel Pruning

no code implementations29 Apr 2020 Yuchen Liu, David Wentzlaff, S. Y. Kung

To this end, we initiate the first study on the effectiveness of a broad range of discriminant functions on channel pruning.

Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding

no code implementations16 Dec 2019 Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang, Cheng-qing Zong

Speech-to-text translation (ST), which translates source language speech into target language text, has attracted intensive attention in recent years.

Automatic Speech Recognition Multi-Task Learning +3

Synchronously Generating Two Languages with Interactive Decoding

no code implementations IJCNLP 2019 Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu, Cheng-qing Zong

In this paper, we introduce a novel interactive approach to translate a source language into two different languages simultaneously and interactively.

Machine Translation Translation

End-to-End Speech Translation with Knowledge Distillation

no code implementations17 Apr 2019 Yuchen Liu, Hao Xiong, Zhongjun He, Jiajun Zhang, Hua Wu, Haifeng Wang, Cheng-qing Zong

End-to-end speech translation (ST), which directly translates from source language speech into target language text, has attracted intensive attentions in recent years.

Knowledge Distillation speech-recognition +2

Language-Independent Representor for Neural Machine Translation

no code implementations1 Nov 2018 Long Zhou, Yuchen Liu, Jiajun Zhang, Cheng-qing Zong, Guoping Huang

Current Neural Machine Translation (NMT) employs a language-specific encoder to represent the source sentence and adopts a language-specific decoder to generate target translation.

Machine Translation Multi-Task Learning +1

Unsupervised Learning of Neural Networks to Explain Neural Networks

no code implementations18 May 2018 Quanshi Zhang, Yu Yang, Yuchen Liu, Ying Nian Wu, Song-Chun Zhu

Given feature maps of a certain conv-layer of the CNN, the explainer performs like an auto-encoder, which first disentangles the feature maps into object-part features and then inverts object-part features back to features of higher conv-layers of the CNN.

Disentanglement

Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest

no code implementations12 Nov 2015 Dmitry Kislyuk, Yuchen Liu, David Liu, Eric Tzeng, Yushi Jing

This paper presents Pinterest Related Pins, an item-to-item recommendation system that combines collaborative filtering with content-based ranking.

Collaborative Filtering

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