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Liang Wang
Unfolding the Alternating Optimization for Blind Super Resolution

Oct 16, 2020
Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan

* Conference on Neural Information Processing Systems (NeurIPS) 2020 
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Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems

Oct 09, 2020
Wei Zhao, Mingyue Shang, Yang Liu, Liang Wang, Jingming Liu

* We decide to withdraw this paper, since the proposed Ape210K dataset is not going public, the experiments in this paper is meaningless and irreproducible without access to the dataset. Please contact wangliang01@fenbi.com if you have any questions 
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Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing

Sep 23, 2020
Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Lajos Hanzo

* Accepted by IEEE Transactions on Cognitive Communications and Networking 
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Streaming Graph Neural Networks via Continual Learning

Sep 23, 2020
Junshan Wang, Guojie Song, Yi Wu, Liang Wang

* 10 pages 
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CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning

Sep 03, 2020
Yanqiao Zhu, Yichen Xu, Feng Yu, Shu Wu, Liang Wang

* 21 pages, in submission to ACM TIST 
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Tasks Integrated Networks: Joint Detection and Retrieval for Image Search

Sep 03, 2020
Lei Zhang, Zhenwei He, Yi Yang, Liang Wang, Xinbo Gao

* To appear in IEEE TPAMI, 18 pages 
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Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation

Aug 13, 2020
Hongyuan Yu, Yan Huang, Lihong Pi, Liang Wang


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Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition

Aug 09, 2020
Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang

* Accepted by IEEE T-CSVT, 11 pages, 6 figures, 10 tables 
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Multi-stream RNN for Merchant Transaction Prediction

Jul 25, 2020
Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang, Wei Zhang, Junpeng Wang

* Accepted by KDD 2020 Workshop on Machine Learning in Finance 
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Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition

Jul 12, 2020
Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng

* Accepted by ECCV2020 
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Multi-future Merchant Transaction Prediction

Jul 10, 2020
Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang


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On Learning Semantic Representations for Million-Scale Free-Hand Sketches

Jul 07, 2020
Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang

* arXiv admin note: substantial text overlap with arXiv:1804.01401 
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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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Investigating Label Bias in Beam Search for Open-ended Text Generation

May 22, 2020
Liang Wang, Jinlong Liu, Jingming Liu

* 10 pages, 4 figures, 5 tables 
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Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks

May 12, 2020
Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang

* To appear at 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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Deep Self-Supervised Representation Learning for Free-Hand Sketch

Feb 03, 2020
Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang


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Mastering Complex Control in MOBA Games with Deep Reinforcement Learning

Jan 03, 2020
Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang

* accepted as a conference paper by AAAI-2020 
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Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation

Dec 02, 2019
Shu Wu, Mengqi Zhang, Xin Jiang, Xu Ke, Liang Wang


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GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction

Nov 14, 2019
Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan

* 8 pages, in submission to IEEE Transactions on Knowledge and Data Engineering 
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Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing

Nov 10, 2019
Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Arumugam Nallanathan


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Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

Oct 12, 2019
Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang

* 10 pages, accepted by the 2019 Conference on Information and Knowledge Management (CIKM-2019) 
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Learning Efficient Convolutional Networks through Irregular Convolutional Kernels

Sep 29, 2019
Weiyu Guo, Jiabin Ma, Liang Wang, Yongzhen Huang


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Denoising based Sequence-to-Sequence Pre-training for Text Generation

Aug 22, 2019
Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu

* Accepted to EMNLP 2019 
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