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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

* Accepted by Globecom 2020 

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Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective

Aug 18, 2020
Qiang Liu, Haoli Zhang, Zhaocheng Liu


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Accountable Off-Policy Evaluation With Kernel Bellman Statistics

Aug 15, 2020
Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu

* 22 pages, 4 figures, ICML 2020 

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Go Wide, Then Narrow: Efficient Training of Deep Thin Networks

Jul 01, 2020
Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans

* ICML 2020 

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Deep Graph Contrastive Representation Learning

Jun 07, 2020
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

* Work in progress, 17 pages 

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SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions

May 29, 2020
Mao Ye, Chengyue Gong, Qiang Liu

* ACL 2020 

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TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

May 06, 2020
Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

* 5 pages, accepted to SIGIR 2020, authors' version 

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An Empirical Study on Feature Discretization

Apr 27, 2020
Qiang Liu, Zhaocheng Liu, Haoli Zhang


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Dimension Independent Generalization Error with Regularized Online Optimization

Mar 25, 2020
Xi Chen, Qiang Liu, Xin T. Tong

* 47 pages, 2 figures 

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Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning

Mar 24, 2020
Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou

* Published at ICLR 2020 

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Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting

Mar 23, 2020
Lemeng Wu, Mao Ye, Qi Lei, Jason D. Lee, Qiang Liu


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Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes

Mar 14, 2020
Peng Jia, Qiang Liu, Yongyang Sun

* Accepted by Astronomical Journal. The complete code can be downloaded from https://doi.org/10.12149/101016. This code can be directly used to process images obtained by WFSATs. Images obtained by ordinary sky survey telescopes can also be processed with this code, however more annotated images are required to train the neural network 

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Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection

Mar 03, 2020
Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu


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Med7: a transferable clinical natural language processing model for electronic health records

Mar 03, 2020
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo Nevado-Holgado

* 16 pages, 1 figure, 15 tables 

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Stein Variational Inference for Discrete Distributions

Mar 01, 2020
Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu

* AISTATS 2020 

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Statistical Adaptive Stochastic Gradient Methods

Feb 25, 2020
Pengchuan Zhang, Hunter Lang, Qiang Liu, Lin Xiao


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Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision

Feb 24, 2020
Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu


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Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework

Feb 21, 2020
Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu, Qiang Liu


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Stein Self-Repulsive Dynamics: Benefits From Past Samples

Feb 21, 2020
Mao Ye, Tongzheng Ren, Qiang Liu


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MaxUp: A Simple Way to Improve Generalization of Neural Network Training

Feb 20, 2020
Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu


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Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation

Jan 07, 2020
Di You, Nguyen Vo, Kyumin Lee, Qiang Liu

* CIKM2019 

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