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• Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks

  Guojia Wan, Bo Du, Shirui Pan, Gholameza Haffari

  6094-6101

  2020-04-03

• Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms

  Andong Wang, Chao Li, Zhong Jin, Qibin Zhao

  6102-6109

  2020-04-03

• Robust Self-Weighted Multi-View Projection Clustering

  Beilei Wang, Yun Xiao, Zhihui Li, Xuanhong Wang, Xiaojiang Chen, Dingyi Fang

  6110-6117

  2020-04-03

• Learning General Latent-Variable Graphical Models with Predictive Belief Propagation

  Borui Wang, Geoffrey Gordon

  6118-6126

  2020-04-03

• SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback

  Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong

  6127-6136

  2020-04-03

• Estimating Stochastic Linear Combination of Non-Linear Regressions

  Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu

  6137-6144

  2020-04-03

• Compact Autoregressive Network

  Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian

  6145-6152

  2020-04-03

• Neural Cognitive Diagnosis for Intelligent Education Systems

  Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang

  6153-6161

  2020-04-03

• Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization

  Guanghui Wang, Shiyin Lu, Yao Hu, Lijun Zhang

  6162-6169

  2020-04-03

• Repetitive Reprediction Deep Decipher for Semi-Supervised Learning

  Guo-Hua Wang, Jianxin Wu

  6170-6177

  2020-04-03

• Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification

  Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen

  6178-6185

  2020-04-03

• M-NAS: Meta Neural Architecture Search

  Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng

  6186-6193

  2020-04-03

• Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification

  Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang

  6194-6201

  2020-04-03

• Reinforcement Learning with Perturbed Rewards

  Jingkang Wang, Yang Liu, Bo Li

  6202-6209

  2020-04-03

• Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach

  Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao

  6210-6218

  2020-04-03

• Differentially Private Learning with Small Public Data

  Jun Wang, Zhi-Hua Zhou

  6219-6226

  2020-04-03

• Dual Relation Semi-Supervised Multi-Label Learning

  Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu

  6227-6234

  2020-04-03

• A Knowledge Transfer Framework for Differentially Private Sparse Learning

  Lingxiao Wang, Quanquan Gu

  6235-6242

  2020-04-03

• Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

  Qian Wang, Toby Breckon

  6243-6250

  2020-04-03

• Learning from Weak-Label Data: A Deep Forest Expedition

  Qian-Wei Wang, Liang Yang, Yu-Feng Li

  6251-6258

  2020-04-03

• Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction

  Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Longbing Cao

  6259-6266

  2020-04-03

• Multi-Component Graph Convolutional Collaborative Filtering

  Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li

  6267-6274

  2020-04-03

• Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation

  Xin Wang, Ying Wang, Yunzhi Ling

  6275-6282

  2020-04-03

• Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework

  Yansheng Wang, Yongxin Tong, Dingyuan Shi

  6283-6290

  2020-04-03

• Transductive Ensemble Learning for Neural Machine Translation

  Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

  6291-6298

  2020-04-03