Papers
What to Do Next: Modeling User Behaviors by Time-LSTM
Yu Zhu, Hao Li, Yikang Liao et al.
Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition
Xinge Zhu, Liang Li, Weigang Zhang et al.
No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously
Xiaojin Zhu, Ji Liu, Manuel Lopes
Adaptive Hypergraph Learning for Unsupervised Feature Selection
Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang et al.
Deep Graphical Feature Learning for Face Sketch Synthesis
Mingrui Zhu, Nannan Wang, Xinbo Gao et al.
Locality Constrained Deep Supervised Hashing for Image Retrieval
Hao Zhu, Shenghua Gao
Diverse Neuron Type Selection for Convolutional Neural Networks
Guibo Zhu, Zhaoxiang Zhang, Xu-Yao Zhang et al.
Deep Forest: Towards An Alternative to Deep Neural Networks
Zhi-Hua Zhou, Ji Feng
Binary Linear Compression for Multi-label Classification
Wen-Ji Zhou, Yang Yu, Min-Ling Zhang
Tensor Completion with Side Information: A Riemannian Manifold Approach
Tengfei Zhou, Hui Qian, Zebang Shen et al.
Microblog Sentiment Classification via Recurrent Random Walk Network Learning
Zhou Zhao, Hanqing Lu, Deng Cai et al.
Link Prediction via Ranking Metric Dual-Level Attention Network Learning
Zhou Zhao, Ben Gao, Vincent W. Zheng et al.
Video Question Answering via Hierarchical Spatio-Temporal Attention Networks
Zhou Zhao, Qifan Yang, Deng Cai et al.
TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets
Xin Zhao, Guiguang Ding, Yuchen Guo et al.
Deep Multiple Instance Hashing for Object-based Image Retrieval
Wanqing Zhao, Ziyu Guan, Hangzai Luo et al.
ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data
Stan Zhao, Meng Jiang, Quan Yuan et al.
Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning
Shanshan Zhao, Xi Li, Omar El Farouk Bourahla
Hierarchical Feature Selection with Recursive Regularization
Hong Zhao, Pengfei Zhu, Ping Wang et al.
Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers
Gangming Zhao, Jingdong Wang, Zhaoxiang Zhang
Learning Discriminative Recommendation Systems with Side Information
Feipeng Zhao, Yuhong Guo
Tensor Based Knowledge Transfer Across Skill Categories for Robot Control
Chenyang Zhao, Timothy M. Hospedales, Freek Stulp et al.
Weighted Double Q-learning
Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer
Multimodal Linear Discriminant Analysis via Structural Sparsity
Yu Zhang, Yuan Jiang
Multi-Instance Learning with Key Instance Shift
Ya-Lin Zhang, Zhi-Hua Zhou
Robust Regression via Heuristic Hard Thresholding
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo et al.