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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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Answer Interaction in Non-factoid Question Answering Systems

Jan 15, 2019
Chen Qu, Liu Yang, Bruce Croft, Falk Scholer, Yongfeng Zhang

* Accepted to CHIIR 2019 

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User Intent Prediction in Information-seeking Conversations

Jan 11, 2019
Chen Qu, Liu Yang, Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu

* Accepted to CHIIR 2019 

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Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching

Dec 30, 2018
Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft

* Accepted to WSDM 2019 

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Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

Nov 05, 2018
Liu Yang, Dongkun Zhang, George Em Karniadakis


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Neural-net-induced Gaussian process regression for function approximation and PDE solution

Jun 22, 2018
Guofei Pang, Liu Yang, George Em Karniadakis


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Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce

Jun 14, 2018
Minghui Qiu, Liu Yang, Feng Ji, Weipeng Zhao, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin

* ACL 2018 
* 6 

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Testing Piecewise Functions

May 20, 2018
Steve Hanneke, Liu Yang


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Statistical Learning under Nonstationary Mixing Processes

May 20, 2018
Steve Hanneke, Liu Yang


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Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems

May 09, 2018
Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen

* Accepted by the 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, U.S.A. July 8-12, 2018 (Full Oral Paper) 

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