Search Results for author: Junjie Wu

Found 17 papers, 4 papers with code

Augmenting Topic Aware Knowledge-Grounded Conversations with Dynamic Built Knowledge Graphs

no code implementations NAACL (DeeLIO) 2021 Junjie Wu, Hao Zhou

Dialog topic management and background knowledge selection are essential factors for the success of knowledge-grounded open-domain conversations.

Knowledge Graphs Management +1

Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks

no code implementations28 May 2022 Xiao Han, Leye Wang, Junjie Wu, Yuncong Yang

Basically, we propose to perturb the original network by adding or removing links, and expect the embedding generated on the perturbed network can leak little information about private links but hold high utility for various downstream tasks.

Network Embedding Privacy Preserving

Data Valuation for Vertical Federated Learning: An Information-Theoretic Approach

no code implementations15 Dec 2021 Xiao Han, Leye Wang, Junjie Wu

Federated learning (FL) is a promising machine learning paradigm that enables cross-party data collaboration for real-world AI applications in a privacy-preserving and law-regulated way.

Federated Learning Privacy Preserving

HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing

no code implementations15 Dec 2021 Xiao Han, Yuncong Yang, Junjie Wu

We then design a novel hybrid protection mechanism called HyObscure, to cross-iteratively optimize the generalization and obfuscation operations for maximum privacy protection under a certain utility guarantee.

Privacy Preserving

Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View

no code implementations18 May 2021 Yutian Chang, Guannan Liu, Yuan Zuo, Junjie Wu

Along this vein, we propose a Mixture of Hawkes-based Temporal Network Embeddings (MHNE) model to capture the aspect-driven neighborhood formation of networks.

Graph Attention Network Embedding

Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations

1 code implementation16 Feb 2021 Jiajun Bao, Junjie Wu, Yiming Zhang, Eshwar Chandrasekharan, David Jurgens

Online conversations can go in many directions: some turn out poorly due to antisocial behavior, while others turn out positively to the benefit of all.

System Design and Analysis for Energy-Efficient Passive UAV Radar Imaging System using Illuminators of Opportunity

no code implementations1 Oct 2020 Zhichao Sun, Junjie Wu, Gary G. Yen, Hang Ren, Hongyang An, Jianyu Yang

Then, a set of mission performance evaluators is established to quantitatively assess the capability of the system in a comprehensive manner, including UAV navigation, passive SAR imaging and communication.

Variational Quantum Circuits for Quantum State Tomography

1 code implementation16 Dec 2019 Yong Liu, Dongyang Wang, Shichuan Xue, Anqi Huang, Xiang Fu, Xiaogang Qiang, Ping Xu, He-Liang Huang, Mingtang Deng, Chu Guo, Xuejun Yang, Junjie Wu

We demonstrate our method by performing numerical simulations for the tomography of the ground state of a one-dimensional quantum spin chain, using a variational quantum circuit simulator.

Quantum Machine Learning Quantum State Tomography

Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation

no code implementations11 Nov 2019 Liang Zhang, Guannan Liu, Junjie Wu

Given the effectiveness and ease of use, Item-based Collaborative Filtering (ICF) methods have been broadly used in industry in recent years.

Collaborative Filtering Representation Learning

Recommendation with Attribute-aware Product Networks: A Representation Learning Model

no code implementations16 Aug 2019 Guannan Liu, Liang Zhang, Junjie Wu, Xiao Fang

Specifically, eRAN first maps items connected in attribute networks to low-dimensional embedding vectors through a deep autoencoder, and then an attention mechanism is applied to model the attractions of attributes to users, from which personalized item representation can be derived.

Recommendation Systems Representation Learning

AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks

no code implementations24 Jul 2019 Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong

Recent years have witnessed the successful marriage of finance innovations and AI techniques in various finance applications including quantitative trading (QT).

Deep Attention reinforcement-learning +1

Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization

no code implementations25 Apr 2019 Jingyuan Wang, Junjie Wu, Ze Wang, Fei Gao, Zhang Xiong

In this paper, we propose a Neighbor-Regularized and context-aware Non-negative Tensor Factorization model (NR-cNTF) to discover interpretable urban dynamics from urban heterogeneous data.

Traffic Prediction

SVM-based Deep Stacking Networks

no code implementations15 Feb 2019 Jingyuan Wang, Kai Feng, Junjie Wu

The deep network model, with the majority built on neural networks, has been proved to be a powerful framework to represent complex data for high performance machine learning.

Complementary Segmentation of Primary Video Objects with Reversible Flows

no code implementations23 Nov 2018 Jia Li, Junjie Wu, Anlin Zheng, Yafei Song, Yu Zhang, Xiaowu Chen

Segmenting primary objects in a video is an important yet challenging problem in computer vision, as it exhibits various levels of foreground/background ambiguities.

Superpixels Video Semantic Segmentation

Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis

2 code implementations23 Jun 2018 Jingyuan Wang, Ze Wang, Jianfeng Li, Junjie Wu

In light of this, in this paper we propose a wavelet-based neural network structure called multilevel Wavelet Decomposition Network (mWDN) for building frequency-aware deep learning models for time series analysis.

General Classification Time Series Analysis +1

Social Media Would Not Lie: Prediction of the 2016 Taiwan Election via Online Heterogeneous Data

no code implementations21 Mar 2018 Zheng Xie, Guannan Liu, Junjie Wu, Yong Tan

First, public opinions in online media dominate traditional polls in Taiwan election prediction in terms of both predictive power and timeliness.

Cannot find the paper you are looking for? You can Submit a new open access paper.