papers
Publications (14)
stat.ML2019
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Weizhong Zhang, Bin Hong, Wei Liu +4
cs.LG2014
Geodesic Distance Function Learning via Heat Flow on Vector Fields
Binbin Lin, Ji Yang, Xiaofei He +1
cs.CL2017
Smarnet: Teaching Machines to Read and Comprehend Like Human
Zheqian Chen, Rongqin Yang, Bin Cao +3
cs.LG2017
Learning Graph-Level Representation for Drug Discovery
Junying Li, Deng Cai, Xiaofei He
cs.LG2013
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions
Lijun Zhang, Tianbao Yang, Rong Jin +1
cs.CL2017
Dialogue Act Recognition via CRF-Attentive Structured Network
Zheqian Chen, Rongqin Yang, Zhou Zhao +2
cs.CL2019
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
Boyuan Pan, Yazheng Yang, Zhou Zhao +3
cs.CL2019
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models
Boyuan Pan, Yazheng Yang, Hao Li +4
cs.IR2019
IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation
Jun Zhao, Zhou Zhou, Ziyu Guan +4
cs.AI2017
MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension
Boyuan Pan, Hao Li, Zhou Zhao +3
cs.CV2019
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Wenxiao Wang, Cong Fu, Jishun Guo +2
cs.CV2019
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks
Zhu Zhang, Zhou Zhao, Zhijie Lin +2
cs.CL2017
Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation
Boyuan Pan, Hao Li, Zhou Zhao +2
cs.AI2018
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
Jun Zhao, Guang Qiu, Ziyu Guan +2