Search Results for author: Yan Fu

Found 10 papers, 2 papers with code

Identifying critical nodes in complex networks by graph representation learning

no code implementations20 Jan 2022 Enyu Yu, DuanBing Chen, Yan Fu, Yuanyuan Xu

Because of its wide application, critical nodes identification has become an important research topic at the micro level of network science.

Graph Learning Graph Representation Learning

Variational Model Inversion Attacks

1 code implementation NeurIPS 2021 Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard Zemel, Alireza Makhzani

In this work, we provide a probabilistic interpretation of model inversion attacks, and formulate a variational objective that accounts for both diversity and accuracy.

Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks

1 code implementation31 Aug 2021 Zhouyang Xie, Yan Fu, Shengzhao Tian, Junlin Zhou, DuanBing Chen

In this paper, a highly efficient pruning method is proposed to significantly reduce the cost of pruning DCNN.

Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks

no code implementations19 Jun 2021 En-Yu Yu, Yan Fu, Jun-Lin Zhou, Hong-Liang Sun, Duan-Bing Chen

Many real-world systems can be expressed in temporal networks with nodes playing far different roles in structure and function and edges representing the relationships between nodes.

A Graph Neural Network Approach for Product Relationship Prediction

no code implementations12 May 2021 Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen

By representing products as nodes and their relationships as edges of a graph, we show how an inductive graph neural network approach, named GraphSAGE, can efficiently learn continuous representations for nodes and edges.

Drug Discovery Image Classification +2

Reinforced Multi-Teacher Selection for Knowledge Distillation

no code implementations11 Dec 2020 Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang

When multiple teacher models are available in distillation, the state-of-the-art methods assign a fixed weight to a teacher model in the whole distillation.

Knowledge Distillation Model Compression

Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation

no code implementations17 Sep 2020 Po Li, Lei LI, Yan Fu, Jun Rong, Yu Zhang

At top of the MoE layer, we deploy a transformer layer for each task as task tower to learn task-specific information.

Recommendation Systems

The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums

no code implementations15 May 2020 Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan, Yan Fu

We demonstrate the feasibility of this approach to the automatic identification, linking and resolution -- a task known as Wikification -- of learning resources mentioned on MOOC discussion forums, from a harvested collection of 100K+ resources.

Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension

no code implementations ACL 2020 Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang

Multilingual pre-trained models could leverage the training data from a rich source language (such as English) to improve performance on low resource languages.

Boundary Detection Machine Reading Comprehension +1

Resource Mention Extraction for MOOC Discussion Forums

no code implementations21 Nov 2018 Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu

We propose the novel problem of learning resource mention identification in MOOC forums.

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