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A Benchmark for Understanding and Generating Dialogue between Characters in Stories


Sep 18, 2022
Jianzhu Yao, Ziqi Liu, Jian Guan, Minlie Huang

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A Corpus for Understanding and Generating Moral Stories


Apr 20, 2022
Jian Guan, Ziqi Liu, Minlie Huang

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* Accepted by NAACL 2022 main conference (Long paper) 

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Robust Unsupervised Graph Representation Learning via Mutual Information Maximization


Jan 21, 2022
Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng

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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback


Dec 28, 2021
Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou

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* 41 pages, 10 figures 

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MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data


Oct 27, 2021
Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou

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* 15 pages, 2 figures, NeurIPS 2021 

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PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method


Oct 22, 2021
Binchi Zhang, Minnan Luo, Shangbin Feng, Ziqi Liu, Jun Zhou, Qinghua Zheng

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* 9 pages, 5 figures 

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LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign


Feb 03, 2021
Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu

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* Accepted by the Industrial & Practitioner Track of the 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021) 

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Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains


Jul 22, 2020
Ziqi Liu, Wei Cai, Zhi-Qin John Xu

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Bandit Samplers for Training Graph Neural Networks


Jun 11, 2020
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi

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Privacy-Preserving Graph Neural Network for Node Classification


May 25, 2020
Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang

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