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The Deep Neural Network based Photometry Framework for Wide Field Small Aperture Telescopes


Jun 28, 2021
Peng Jia, Yongyang Sun, Qiang Liu

* Submitted to the MNRAS and welcome to any comments. Complete code and data can be downloaded from https://zenodo.org/record/4784689#.YKxbe6gzaUk 

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Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE)


Jun 09, 2021
Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang

* 24 pages, 16 figures 

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KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients


Jun 02, 2021
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu

* Preprint. Under review 

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Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition


May 18, 2021
Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar


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Improve Vision Transformers Training by Suppressing Over-smoothing


Apr 26, 2021
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu

* preprint 

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Mining Latent Structures for Multimedia Recommendation


Apr 19, 2021
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang

* Work in progress, 10 pages 

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DyGCN: Dynamic Graph Embedding with Graph Convolutional Network


Apr 07, 2021
Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai

* 21 pages, 5 figures, submitted to TOIS 

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VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments


Mar 14, 2021
Lizhen Nie, Mao Ye, Qiang Liu, Dan Nicolae


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Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds


Mar 09, 2021
Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu

* 33 Pages, 5 figures, extended version of a paper with the same title accepted by ICLR2021 

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Centroid Transformers: Learning to Abstract with Attention


Mar 08, 2021
Lemeng Wu, Xingchao Liu, Qiang Liu


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Deep Graph Structure Learning for Robust Representations: A Survey


Mar 04, 2021
Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang

* 8 pages, in submission to IJCAI 2021 (Survey Track) 

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DNN2LR: Automatic Feature Crossing for Credit Scoring


Feb 24, 2021
Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu

* arXiv admin note: substantial text overlap with arXiv:2008.09775 

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Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks


Feb 17, 2021
Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu


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AlphaNet: Improved Training of Supernet with Alpha-Divergence


Feb 16, 2021
Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra


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STAN: Spatio-Temporal Attention Network for Next Location Recommendation


Feb 08, 2021
Yingtao Luo, Qiang Liu, Zhaocheng Liu

* Accepted to The Web Conference (WWW2021) 

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Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction


Jan 11, 2021
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

* 11 pages, work in progress 

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LiveMap: Real-Time Dynamic Map in Automotive Edge Computing


Dec 16, 2020
Qiang Liu, Tao Han, Jiang, Xie, BaekGyu Kim

* This paper is accepted by INFOCOM 2021 

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AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence


Nov 23, 2020
Chengyue Gong, Dilin Wang, Qiang Liu

* preprint 

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KeepAugment: A Simple Information-Preserving Data Augmentation Approach


Nov 23, 2020
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu


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Smart obervation method with wide field small aperture telescopes for real time transient detection


Nov 20, 2020
Peng Jia, Qiang Liu, Yongyang Sun, Yitian Zheng, Wenbo Liu, Yifei Zhao

* To appear in Proc. of SPIE 2020, Paper Number (11449-80), Comments are welcome 

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Modelling the Point Spread Function of Wide Field Small Aperture Telescopes With Deep Neural Networks -- Applications in Point Spread Function Estimation


Nov 20, 2020
Peng Jia, Xuebo Wu, Zhengyang Li, Bo Li, Weihua Wang, Qiang Liu, Adam Popowicz

* Submitted to MNRAS 

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Certified Monotonic Neural Networks


Nov 20, 2020
Xingchao Liu, Xing Han, Na Zhang, Qiang Liu


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Debiasing Convolutional Neural Networks via Meta Orthogonalization


Nov 15, 2020
Kurtis Evan David, Qiang Liu, Ruth Fong

* Accepted to NeuRIPS 2020 Workshop on Algorithmic Fairness through the Lens of Causality and Interpretability (AFCI). Supplemental materials provided at: https://drive.google.com/drive/folders/1klIAqZDgg3sCVmzFjLw5Y_T-GTc2E3oh?usp=sharing 

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Transparent Interpretation with Knockouts


Nov 01, 2020
Xing Han, Yihao Feng, Na Zhang, Qiang Liu


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Deep Active Graph Representation Learning


Oct 30, 2020
Yanqiao Zhu, Weizhi Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

* Preliminary work, 10 pages 

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Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough


Oct 29, 2020
Mao Ye, Lemeng Wu, Qiang Liu

* NeurIPS 2020 

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Off-Policy Interval Estimation with Lipschitz Value Iteration


Oct 29, 2020
Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu

* To appear at NeurIPS 2020 

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Graph Contrastive Learning with Adaptive Augmentation


Oct 27, 2020
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

* Work in progress; 11 pages, 3 figures, 5 tables. arXiv admin note: substantial text overlap with arXiv:2006.04131 

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An efficient representation of chronological events in medical texts


Oct 24, 2020
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo Nevado-Holgado

* 4 pages, 2 figures, 7 tables 

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