Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Qiang Liu

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Centroid Transformers: Learning to Abstract with Attention


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


  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

AlphaNet: Improved Training of Supernet with Alpha-Divergence


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


  Access Paper or Ask Questions

STAN: Spatio-Temporal Attention Network for Next Location Recommendation


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

* Accepted to The Web Conference (WWW2021) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


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

* preprint 

  Access Paper or Ask Questions

KeepAugment: A Simple Information-Preserving Data Augmentation Approach


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Certified Monotonic Neural Networks


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Transparent Interpretation with Knockouts


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


  Access Paper or Ask Questions

Deep Active Graph Representation Learning


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

* Preliminary work, 10 pages 

  Access Paper or Ask Questions

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


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

* NeurIPS 2020 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Population Gradients improve performance across data-sets and architectures in object classification


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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Modeling Dyadic Conversations for Personality Inference


Sep 26, 2020
Qiang Liu


  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

Deep Active Learning by Model Interpretability


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


  Access Paper or Ask Questions

DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing


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

* Accepted by Globecom 2020 

  Access Paper or Ask Questions