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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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Centroid Transformers: Learning to Abstract with Attention


Feb 17, 2021
Lemeng Wu, Xingchao Liu, Qiang Liu

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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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 4 pages, 2 figures, 7 tables 
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Population Gradients improve performance across data-sets and architectures in object classification


Oct 23, 2020
Yurika Sakai, Andrey Kormilitzin, Qiang Liu, Alejo Nevado-Holgado

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Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data


Oct 21, 2020
Mao Ye, Dhruv Choudhary, Jiecao Yu, Ellie Wen, Zeliang Chen, Jiyan Yang, Jongsoo Park, Qiang Liu, Arun Kejariwal

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Modeling Dyadic Conversations for Personality Inference


Sep 26, 2020
Qiang Liu

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DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data


Sep 21, 2020
Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen

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Deep Active Learning by Model Interpretability


Aug 26, 2020
Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu, Jun Zhu

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DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing


Aug 19, 2020
Qiang Liu, Tao Han, Ning Zhang, Ye Wang

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* Accepted by Globecom 2020 
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