Search Results for author: Yifei Zhang

Found 16 papers, 3 papers with code

Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty

no code implementations29 Sep 2021 Yifei Zhang, Sourav Kumar Ukil, Ephraim Neimand, Serban Sabau, Myron E. Hohil

This paper addresses the end-to-end sample complexity bound for learning the H2 optimal controller (the Linear Quadratic Gaussian (LQG) problem) with unknown dynamics, for potentially unstable Linear Time-Invariant (LTI) systems.

Time Series

Dense Semantic Contrast for Self-Supervised Visual Representation Learning

no code implementations16 Sep 2021 Xiaoni Li, Yu Zhou, Yifei Zhang, Aoting Zhang, Wei Wang, Ning Jiang, Haiying Wu, Weiping Wang

Concretely, these downstream tasks require more accurate representation, in other words, the pixels from the same object must belong to a shared semantic category, which is lacking in the previous methods.

Contrastive Learning Instance Segmentation +3

Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks

1 code implementation ACL 2021 Xiaocui Yang, Shi Feng, Yifei Zhang, Daling Wang

In this paper, we propose Multi-channel Graph Neural Networks with Sentiment-awareness (MGNNS) for image-text sentiment detection.

Exploring Instance Relations for Unsupervised Feature Embedding

no code implementations7 May 2021 Yifei Zhang, Yu Zhou, Weiping Wang

Despite the great progress achieved in unsupervised feature embedding, existing contrastive learning methods typically pursue view-invariant representations through attracting positive sample pairs and repelling negative sample pairs in the embedding space, while neglecting to systematically explore instance relations.

Contrastive Learning Image Classification

Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning

no code implementations14 Jul 2020 Yifei Zhang, Hao Zhu

For this scheme, we propose a novel privacy-preserving architecture where two parties can collaboratively train a deep learning model efficiently while preserving the privacy of each party's data.

Progressive Cluster Purification for Unsupervised Feature Learning

no code implementations6 Jul 2020 Yifei Zhang, Chang Liu, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye

In this work, we propose a novel clustering based method, which, by iteratively excluding class inconsistent samples during progressive cluster formation, alleviates the impact of noise samples in a simple-yet-effective manner.

Adversarial Synthesis of Human Pose from Text

no code implementations1 May 2020 Yifei Zhang, Rania Briq, Julian Tanke, Juergen Gall

This work focuses on synthesizing human poses from human-level text descriptions.

Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension

no code implementations WS 2019 Qian Li, Hui Su, Cheng Niu, Daling Wang, Zekang Li, Shi Feng, Yifei Zhang

Moreover, pretraining is essential in reinforcement learning models, so we provide a high-quality annotated dataset for question reformulation by sampling a part of QuAC dataset.

Reading Comprehension

Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation

no code implementations IJCNLP 2019 Weichao Wang, Shi Feng, Daling Wang, Yifei Zhang

We observe that the answer has strong semantic coherence to its question and post, which can be used to guide question generation.

Question Generation

Doc2hash: Learning Discrete Latent variables for Documents Retrieval

1 code implementation NAACL 2019 Yifei Zhang, Hao Zhu

However, the discrete stochastic layer is usually incompatible with the backpropagation in the training stage, and thus causes a gradient flow problem because of non-differentiable operators.

Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning

no code implementations EMNLP 2018 Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang

Then the attention-based CNN model is incorporated into a novel adversarial cross-lingual learning framework, in which with the help of user properties as bridge between languages, we can extract the language-specific features and language-independent features to enrich the user post representation so as to alleviate the data insufficiency problem.

General Classification Multi-Task Learning +1

#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate

2 code implementations27 Feb 2018 Marian-Andrei Rizoiu, Timothy Graham, Rui Zhang, Yifei Zhang, Robert Ackland, Lexing Xie

We collect a large dataset of tweets during the 1st U. S. Presidential Debate in 2016 (#DebateNight) and we analyze its 1. 5 million users from three perspectives: user influence, political behavior (partisanship and engagement) and botness.

Social and Information Networks

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