Search Results for author: Yifei Zhang

Found 36 papers, 12 papers with code

Cones: Concept Neurons in Diffusion Models for Customized Generation

2 code implementations9 Mar 2023 Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

Concatenating multiple clusters of concept neurons can vividly generate all related concepts in a single image.

oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation

no code implementations3 Jan 2023 Jianhui Li, Zhennan Qin, Yijie Mei, Jingze Cui, Yunfei Song, Ciyong Chen, Yifei Zhang, Longsheng Du, Xianhang Cheng, Baihui Jin, Jason Ye, Eric Lin, Dan Lavery

With the rapid development of deep learning models and hardware support for dense computing, the deep learning (DL) workload characteristics changed significantly from a few hot spots on compute-intensive operations to a broad range of operations scattered across the models.

Code Generation Compiler Optimization

Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling

1 code implementation7 Dec 2022 Yifei Zhang, Neng Gao, Cunqing Ma

Prototype-based interpretability methods provide intuitive explanations of model prediction by comparing samples to a reference set of memorized exemplars or typical representatives in terms of similarity.

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

no code implementations2 Dec 2022 Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

Although augmentations (e. g., perturbation of graph edges, image crops) boost the efficiency of Contrastive Learning (CL), feature level augmentation is another plausible, complementary yet not well researched strategy.

Contrastive Learning

Sample Complexity for Evaluating the Robust Linear Observers Performance under Coprime Factors Uncertainty

no code implementations29 Nov 2022 Yifei Zhang, Sourav Kumar Ukil, Andrei Sperila, Serban Sabau

Refitting the expression of the relevant closed loop allows for the optimal linear observer problem given a fixed state feedback gain to be recast as a convex problem in the Youla parameter.

Time Series Analysis

Dimensionality-Varying Diffusion Process

no code implementations29 Nov 2022 Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng

Diffusion models, which learn to reverse a signal destruction process to generate new data, typically require the signal at each step to have the same dimension.

Image Generation

Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning

1 code implementation8 Nov 2022 Qian Li, Shafiq Joty, Daling Wang, Shi Feng, Yifei Zhang

Sparsity of formal knowledge and roughness of non-ontological construction make sparsity problem particularly prominent in Open Knowledge Graphs (OpenKGs).

Contrastive Learning Knowledge Graphs

Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning

no code implementations2 Nov 2022 Yifei Zhang, Chang Liu, Yu Zhou, Weiping Wang, Qixiang Ye, Xiangyang Ji

In this paper, we present relation-aware contrastive self-supervised learning (ReCo) to integrate instance relations, i. e., global distribution relation and local interpolation relation, into the CSL framework in a plug-and-play fashion.

Self-Supervised Learning

DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection

no code implementations25 Oct 2022 Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang

Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms.


MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation

1 code implementation COLING 2022 Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang

Building dialogue generation systems in a zero-shot scenario remains a huge challenge, since the typical zero-shot approaches in dialogue generation rely heavily on large-scale pre-trained language generation models such as GPT-3 and T5.

Data Augmentation Dialogue Generation

Graph Component Contrastive Learning for Concept Relatedness Estimation

1 code implementation25 Jun 2022 Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King

As it is intractable for data augmentation to fully capture the structural information of the ConcreteGraph due to a large amount of potential concept pairs, we further introduce a novel Graph Component Contrastive Learning framework to implicitly learn the complete structure of the ConcreteGraph.

Contrastive Learning Data Augmentation +2

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

1 code implementation9 Jun 2022 Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

In this paper, we show that the node embedding obtained via the graph augmentations is highly biased, somewhat limiting contrastive models from learning discriminative features for downstream tasks.

Contrastive Learning Graph Representation Learning

Graph-adaptive Rectified Linear Unit for Graph Neural Networks

no code implementations13 Feb 2022 Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King

However, in the updating stage, all nodes share the same updating function.

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

The robust LQG synthesis procedure is performed by considering bounded additive model uncertainty on the coprime factors of the plant.

Time Series Analysis

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 +4

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

1 code implementation7 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 +1

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.

BIG-bench Machine Learning Privacy Preserving

Progressive Cluster Purification for Unsupervised Feature Learning

1 code implementation6 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 reinforcement-learning +1

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 +2

#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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