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papers

Publications (10)

Field-aware Neural Factorization Machine for Click-Through Rate Prediction

Li Zhang, Weichen Shen, Shijian Li +1

A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning

Long Yang, Minhao Shi, Qian Zheng +2

Monte Carlo Neural Fictitious Self-Play: Approach to Approximate Nash equilibrium of Imperfect-Information Games

Li Zhang, Wei Wang, Shijian Li +1

State Distribution-aware Sampling for Deep Q-learning

Weichao Li, Fuxian Huang, Xi Li +2

Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut

Zhenfang Hu, Gang Pan, Yueming Wang +1

Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction

Yuting Zhang, Kihyuk Sohn, Ruben Villegas +2

Robust Face Recognition by Constrained Part-based Alignment

Yuting Zhang, Kui Jia, Yueming Wang +3

Sparse Principal Component Analysis via Rotation and Truncation

Zhenfang Hu, Gang Pan, Yueming Wang +1

TBQ($Ï$): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning

Longxiang Shi, Shijian Li, Longbing Cao +2

Spectral-graph Based Classifications: Linear Regression for Classification and Normalized Radial Basis Function Network

Zhenfang Hu, Gang Pan, Zhaohui Wu