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Practical and Secure Federated Recommendation with Personalized Masks


Aug 18, 2021
Liu Yang, Ben Tan, Bo Liu, Vincent W. Zheng, Kai Chen, Qiang Yang

* 18 pages 

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The Threat of Offensive AI to Organizations


Jun 30, 2021
Yisroel Mirsky, Ambra Demontis, Jaidip Kotak, Ram Shankar, Deng Gelei, Liu Yang, Xiangyu Zhang, Wenke Lee, Yuval Elovici, Battista Biggio


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Learning Functional Priors and Posteriors from Data and Physics


Jun 08, 2021
Xuhui Meng, Liu Yang, Zhiping Mao, Jose del Aguila Ferrandis, George Em Karniadakis


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Passage Retrieval for Outside-Knowledge Visual Question Answering


May 09, 2021
Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik Learned-Miller

* Accepted to SIGIR'21 as a short paper 

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Privacy-Adaptive BERT for Natural Language Understanding


Apr 15, 2021
Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork


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Weakly-Supervised Open-Retrieval Conversational Question Answering


Mar 03, 2021
Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer

* Accepted to ECIR'21 

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Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates


Jan 17, 2021
Liu Yang, Tingwei Meng, George Em Karniadakis


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Flow-based Generative Models for Learning Manifold to Manifold Mappings


Dec 18, 2020
Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh

* This paper has been accepted by AAAI 2021 

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Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations


Nov 25, 2020
Haojie Pan, Cen Chen, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen


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Long Range Arena: A Benchmark for Efficient Transformers


Nov 08, 2020
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler


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DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling


Oct 07, 2020
Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh

* 13 pages. Accepted to Findings of EMNLP 2020 

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Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker-Planck Equation and Physics-informed Neural Networks


Aug 24, 2020
Xiaoli Chen, Liu Yang, Jinqiao Duan, George Em Karniadakis

* The first two authors contributed equally to this paper. Corresponding author: George Em Karniadakis 

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Generative Ensemble-Regression: Learning Stochastic Dynamics from Discrete Particle Ensemble Observations


Aug 05, 2020
Liu Yang, Constantinos Daskalakis, George Em Karniadakis


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SeqDialN: Sequential Visual Dialog Networks in Joint Visual-Linguistic Representation Space


Aug 02, 2020
Liu Yang, Fanqi Meng, Ming-Kuang Daniel Wu, Vicent Ying, Xianchao Xu

* 18 pages, 4 figures, 5 tables 

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Divide-and-Shuffle Synchronization for Distributed Machine Learning


Jul 07, 2020
Weiyan Wang, Cengguang Zhang, Liu Yang, Jiacheng Xia, Kai Chen, Kun Tan

* 15 pages, 5 figures, NeurIPS 2020 under review 

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Match$^2$: A Matching over Matching Model for Similar Question Identification


Jun 21, 2020
Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang

* Accepted by SIGIR 2020. 10 pages 

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Open-Retrieval Conversational Question Answering


May 22, 2020
Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer

* Accepted to SIGIR'20 

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Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching


Apr 26, 2020
Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork

* arXiv preprint version. 10 pages 

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B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data


Mar 13, 2020
Liu Yang, Xuhui Meng, George Em Karniadakis

* The first two authors contributed equally to this work 

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Reinforcement Learning for Active Flow Control in Experiments


Mar 06, 2020
Dixia Fan, Liu Yang, Michael S Triantafyllou, George Em Karniadakis

* The first two authors contributed equally to this work 

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Sparse Sinkhorn Attention


Feb 26, 2020
Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan


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APTER: Aggregated Prognosis Through Exponential Reweighting


Feb 20, 2020
Kristiaan Pelckmans, Liu Yang


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IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems


Feb 03, 2020
Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen

* Accepted by WWW2020 

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A GMM based algorithm to generate point-cloud and its application to neuroimaging


Nov 05, 2019
Liu Yang, Rudrasis Chakraborty


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An "augmentation-free" rotation invariant classification scheme on point-cloud and its application to neuroimaging


Nov 05, 2019
Liu Yang, Rudrasis Chakraborty

* arXiv admin note: text overlap with arXiv:1910.13050 and arXiv:1911.01705 

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POIRot: A rotation invariant omni-directional pointnet


Oct 30, 2019
Liu Yang, Rudrasis Chakraborty, Stella X. Yu


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Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs


Oct 29, 2019
Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David Barajas-Solano, Josh Romero, Valentin Churavy, Alexandre Tartakovsky, Michael Houston, Prabhat, George Karniadakis

* 3rd Deep Learning on Supercomputers Workshop (DLS) at SC19 

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Potential Flow Generator with $L_2$ Optimal Transport Regularity for Generative Models


Aug 29, 2019
Liu Yang, George Em Karniadakis


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A Hybrid Retrieval-Generation Neural Conversation Model


Apr 19, 2019
Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu

* 11 pages 

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Contextual Aware Joint Probability Model Towards Question Answering System


Apr 17, 2019
Liu Yang, Lijing Song


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