Papers
Quaternion Collaborative Filtering for Recommendation
Shuai Zhang, Lina Yao, Lucas Vinh Tran et al.
Inferring Substitutable Products with Deep Network Embedding
Shijie Zhang, Hongzhi Yin, Qinyong Wang et al.
Efficient Non-parametric Bayesian Hawkes Processes
Rui Zhang, Christian Walder, Marian-Andrei Rizoiu et al.
High Dimensional Bayesian Optimization via Supervised Dimension Reduction
Miao Zhang, Huiqi Li, Steven Su
Towards Robust ResNet: A Small Step but a Giant Leap
Jingfeng Zhang, Bo Han, Laura Wynter et al.
ProNE: Fast and Scalable Network Representation Learning
Jie Zhang, Yuxiao Dong, Yan Wang et al.
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation
Jianpeng Zhang, Yutong Xie, Pingping Zhang et al.
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Jiani Zhang, Xingjian Shi, Shenglin Zhao et al.
Generalized Majorization-Minimization for Non-Convex Optimization
Hu Zhang, Pan Zhou, Yi Yang et al.
Positive and Unlabeled Learning with Label Disambiguation
Chuang Zhang, Dexin Ren, Tongliang Liu et al.
Experience Replay Optimization
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou et al.
KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network
Linghua Zeng, Zhangcheng Wang, Xinmei Tian
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
Feng Yuan, Lina Yao, Boualem Benatallah
Progressive Transfer Learning for Person Re-identification
Zhengxu Yu, Zhongming Jin, Long Wei et al.
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
Zeping Yu, Jianxun Lian, Ahmad Mahmoody et al.
VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders
Xianwen Yu, Xiaoning Zhang, Yang Cao et al.
Interpreting and Evaluating Neural Network Robustness
Fuxun Yu, Zhuwei Qin, Chenchen Liu et al.
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control
Kenny Young, Baoxiang Wang, Matthew E. Taylor
Belief Propagation Network for Hard Inductive Semi-Supervised Learning
Jaemin Yoo, Hyunsik Jeon, U Kang
Geometric Understanding for Unsupervised Subspace Learning
Shihui Ying, Lipeng Cai, Changzhou He et al.
BN-invariant Sharpness Regularizes the Training Model to Better Generalization
Mingyang Yi, Huishuai Zhang, Wei Chen et al.
Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction
Fei Yi, Zhiwen Yu, Fuzhen Zhuang et al.
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection
Yanfang Ye, Shifu Hou, Lingwei Chen et al.
Distributed Collaborative Feature Selection Based on Intermediate Representation
Xiucai Ye, Hongmin Li, Akira Imakura et al.