Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Ze Wang

Ze Wang

Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning



Yiran Li , Ze Wang

Figure 1 for Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning
Figure 2 for Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning
Figure 3 for Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning
Figure 4 for Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning

   Access Paper or Ask Questions

Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning



Ziqi Zhou , Li Lian , Yilong Yin , Ze Wang

Figure 1 for Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning
Figure 2 for Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning
Figure 3 for Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning
Figure 4 for Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning

   Access Paper or Ask Questions

NMA: Neural Multi-slot Auctions with Externalities for Online Advertising



Guogang Liao , Xuejian Li , Ze Wang , Fan Yang , Muzhi Guan , Bingqi Zhu , Yongkang Wang , Xingxing Wang , Dong Wang

Figure 1 for NMA: Neural Multi-slot Auctions with Externalities for Online Advertising
Figure 2 for NMA: Neural Multi-slot Auctions with Externalities for Online Advertising
Figure 3 for NMA: Neural Multi-slot Auctions with Externalities for Online Advertising
Figure 4 for NMA: Neural Multi-slot Auctions with Externalities for Online Advertising
* 10 pages, 3figures 
   Access Paper or Ask Questions

Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks



Guogang Liao , Ze Wang , Xiaowen Shi , Xiaoxu Wu , Chuheng Zhang , Yongkang Wang , Xingxing Wang , Dong Wang

Figure 1 for Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks
Figure 2 for Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks
* arXiv admin note: text overlap with arXiv:2109.04353, arXiv:2204.00377 
   Access Paper or Ask Questions

Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation



Guogang Liao , Xiaowen Shi , Ze Wang , Xiaoxu Wu , Chuheng Zhang , Yongkang Wang , Xingxing Wang , Dong Wang

Figure 1 for Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation
Figure 2 for Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation
Figure 3 for Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation
* Accepted by SIGIR 2022 as short paper 
   Access Paper or Ask Questions

LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane



Ze Wang , Kailun Yang , Hao Shi , Kaiwei Wang

Figure 1 for LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane
Figure 2 for LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane
Figure 3 for LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane
Figure 4 for LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane
* Dataset and code are made publicly available at https://github.com/flysoaryun/LF-VIO 
   Access Paper or Ask Questions

Cross DQN: Cross Deep Q Network for Ads Allocation in Feed



Guogang Liao , Ze Wang , Xiaoxu Wu , Xiaowen Shi , Chuheng Zhang , Yongkang Wang , Xingxing Wang , Dong Wang

Figure 1 for Cross DQN: Cross Deep Q Network for Ads Allocation in Feed
Figure 2 for Cross DQN: Cross Deep Q Network for Ads Allocation in Feed
Figure 3 for Cross DQN: Cross Deep Q Network for Ads Allocation in Feed
Figure 4 for Cross DQN: Cross Deep Q Network for Ads Allocation in Feed

   Access Paper or Ask Questions

Adaptive Convolutions with Per-pixel Dynamic Filter Atom



Ze Wang , Zichen Miao , Jun Hu , Qiang Qiu

Figure 1 for Adaptive Convolutions with Per-pixel Dynamic Filter Atom
Figure 2 for Adaptive Convolutions with Per-pixel Dynamic Filter Atom
Figure 3 for Adaptive Convolutions with Per-pixel Dynamic Filter Atom
Figure 4 for Adaptive Convolutions with Per-pixel Dynamic Filter Atom

   Access Paper or Ask Questions

Cirrus: A Long-range Bi-pattern LiDAR Dataset



Ze Wang , Sihao Ding , Ying Li , Jonas Fenn , Sohini Roychowdhury , Andreas Wallin , Lane Martin , Scott Ryvola , Guillermo Sapiro , Qiang Qiu

Figure 1 for Cirrus: A Long-range Bi-pattern LiDAR Dataset
Figure 2 for Cirrus: A Long-range Bi-pattern LiDAR Dataset
Figure 3 for Cirrus: A Long-range Bi-pattern LiDAR Dataset
Figure 4 for Cirrus: A Long-range Bi-pattern LiDAR Dataset

   Access Paper or Ask Questions

Using Text to Teach Image Retrieval



Haoyu Dong , Ze Wang , Qiang Qiu , Guillermo Sapiro

Figure 1 for Using Text to Teach Image Retrieval
Figure 2 for Using Text to Teach Image Retrieval
Figure 3 for Using Text to Teach Image Retrieval
Figure 4 for Using Text to Teach Image Retrieval

   Access Paper or Ask Questions
1
2
3
>>