papers
Publications (14)
cs.CL2019
Learning to Generate Questions by Learning What not to Generate
Bang Liu, Mingjun Zhao, Di Niu +4
cs.LG2018
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
Rui Zhu, Di Niu, Zongpeng Li
cs.CE2018
House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis
Bang Liu, Borislav Mavrin, Di Niu +1
cs.CR2018
Android Malware Detection using Large-scale Network Representation Learning
Rui Zhu, Chenglin Li, Di Niu +2
cs.LG2018
A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems
Rui Zhu, Di Niu
cs.IR2018
Growing Story Forest Online from Massive Breaking News
Bang Liu, Di Niu, Kunfeng Lai +2
stat.ML2017
Expectile Matrix Factorization for Skewed Data Analysis
Rui Zhu, Di Niu, Linglong Kong +1
cs.LG2019
Learning Privately over Distributed Features: An ADMM Sharing Approach
Yaochen Hu, Peng Liu, Linglong Kong +1
cs.DC2019
Stochastic Distributed Optimization for Machine Learning from Decentralized Features
Yaochen Hu, Di Niu, Jianming Yang +1
cs.CL2018
Matching Natural Language Sentences with Hierarchical Sentence Factorization
Bang Liu, Ting Zhang, Fred X. Han +3
cs.CL2019
Matching Article Pairs with Graphical Decomposition and Convolutions
Bang Liu, Di Niu, Haojie Wei +4
cs.LG2018
A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization
Rui Zhu, Di Niu, Zongpeng Li
cs.IR2019
A User-Centered Concept Mining System for Query and Document Understanding at Tencent
Bang Liu, Weidong Guo, Di Niu +5
cs.CL2019
Multiresolution Graph Attention Networks for Relevance Matching
Ting Zhang, Bang Liu, Di Niu +2