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Qiang Liu

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OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning


Nov 02, 2021
Qiang Liu, Nakjung Choi, Tao Han

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* This paper is accepted by CoNEXT 2021 
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Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation


Nov 01, 2021
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang

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* 12 pages; in submission to IEEE TKDE. arXiv admin note: substantial text overlap with arXiv:2104.09036 
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Conflict-Averse Gradient Descent for Multi-task Learning


Oct 26, 2021
Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu

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* 20 pages, 6 figures, Conference on Neural Information Processing Systems, 2021 
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Divergence-degenerated spatial multiplexing towards ultrahigh capacity, low bit-error-rate optical communications


Oct 17, 2021
Zhensong Wan, Yijie Shen, Zhaoyang Wang, Zijian Shi, Qiang Liu, Xing Fu

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* 10 pages, 7 figures 
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Centroid Approximation for Bootstrap


Oct 17, 2021
Mao Ye, Qiang Liu

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Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set


Oct 17, 2021
Mao Ye, Qiang Liu

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Relation-aware Heterogeneous Graph for User Profiling


Oct 14, 2021
Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang

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* CIKM2021 Accepted 
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Speeding up Deep Model Training by Sharing Weights and Then Unsharing


Oct 08, 2021
Shuo Yang, Le Hou, Xiaodan Song, Qiang Liu, Denny Zhou

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An Empirical Study of Graph Contrastive Learning


Sep 02, 2021
Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu

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* Work in progress. Open-sourced library at https://github.com/GraphCL/PyGCL 
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Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning


Aug 31, 2021
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu

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* KDD Workshop on Deep Learning on Graphs: Method and Applications ([email protected] 2021) 
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Deep Active Learning for Text Classification with Diverse Interpretations


Aug 15, 2021
Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu

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* Accepted to CIKM 2021. Authors' version 
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Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness


Aug 03, 2021
Runzhou Ge, Zhuangzhuang Ding, Yihan Hu, Wenxin Shao, Li Huang, Kun Li, Qiang Liu

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* 1st Place Solution for the Real-time 3D Detection and the Most Efficient Model of the Waymo Open Dataset Challenges 2021 (http://cvpr2021.wad.vision/) 
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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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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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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