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Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders


Oct 01, 2021
Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Jinyang, Li, Shengzhong, Liu, Hanghang Tong, Tarek Abdelzaher


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Boosting Offline Reinforcement Learning with Residual Generative Modeling


Jun 19, 2021
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui, Li

* Accepted by IJCAI 2021, appendix included, 9 pages, 4 figures, 2 tables 

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Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning


Apr 21, 2021
Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai, Li, Qinru Qiu


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Learned Indexes for a Google-scale Disk-based Database


Dec 23, 2020
Hussam Abu-Libdeh, Deniz Altınbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou, Li, Andy Ly, Christopher Olston

* 4 pages, Presented at Workshop on ML for Systems at NeurIPS 2020 

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Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems


Nov 29, 2020
Yichen Zhang, Feng Qiu, Tianqi Hong, Zhaoyu Wang, Fangxing, Li


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Data Troubles in Sentence Level Confidence Estimation for Machine Translation


Oct 26, 2020
Ciprian Chelba, Junpei Zhou, Yuezhang, Li, Hideto Kazawa, Jeff Klingner, Mengmeng Niu


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Riemannian Langevin Algorithm for Solving Semidefinite Programs


Oct 21, 2020
Mufan, Li, Murat A. Erdogdu


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Self-supervised Learning: Generative or Contrastive


Jun 15, 2020
Xiao, Liu, Fanjin, Zhang, Zhenyu, Hou, Zhaoyu, Wang, Li, Mian, Jing, Zhang, Jie, Tang


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Practical Perspectives on Quality Estimation for Machine Translation


May 02, 2020
Junpei Zhou, Ciprian Chelba, Yuezhang, Li


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Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection


Feb 18, 2020
Haoyi Fan, Fengbin Zhang, Ruidong Wang, Liang Xi, Zuoyong, Li

* Accepted by PAKDD2020. Copyright (c) 2020 Springer. The source codes are publicly available at https://haoyfan.github.io/. Only personal use of these materials is permitted 

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RED: A ReRAM-based Deconvolution Accelerator


Jul 05, 2019
Zichen Fan, Ziru Li, Bing Li, Yiran Chen, Hai, Li

* 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE) 

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SwiftNet: Using Graph Propagation as Meta-knowledge to Search HighlyvRepresentative Neural Architectures


Jun 19, 2019
Hsin-Pai, Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai, Li, Yiran Chen


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An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications


Jun 15, 2019
Bing Li, Bonan Yan, Hai, Li


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Spintronics based Stochastic Computing for Efficient Bayesian Inference System


Nov 03, 2017
Xiaotao Jia, Jianlei Yang, Zhaohao Wang, Yiran Chen, Hai, Li, Weisheng Zhao

* accepted by ASPDAC 2018 conference 

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