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 Peng Cheng

Peng Cheng

Stability of Weighted Majority Voting under Estimated Weights


Jul 13, 2022
Shaojie Bai, Dongxia Wang, Tim Muller, Peng Cheng, Jiming Chen

Figure 1 for Stability of Weighted Majority Voting under Estimated Weights
Figure 2 for Stability of Weighted Majority Voting under Estimated Weights
Figure 3 for Stability of Weighted Majority Voting under Estimated Weights
Figure 4 for Stability of Weighted Majority Voting under Estimated Weights
* 15 pages, 16 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Discriminator-Guided Model-Based Offline Imitation Learning


Jul 05, 2022
Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan

Figure 1 for Discriminator-Guided Model-Based Offline Imitation Learning
Figure 2 for Discriminator-Guided Model-Based Offline Imitation Learning
Figure 3 for Discriminator-Guided Model-Based Offline Imitation Learning
Figure 4 for Discriminator-Guided Model-Based Offline Imitation Learning

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Tutel: Adaptive Mixture-of-Experts at Scale


Jun 07, 2022
Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong

Figure 1 for Tutel: Adaptive Mixture-of-Experts at Scale
Figure 2 for Tutel: Adaptive Mixture-of-Experts at Scale
Figure 3 for Tutel: Adaptive Mixture-of-Experts at Scale
Figure 4 for Tutel: Adaptive Mixture-of-Experts at Scale

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

VeriFi: Towards Verifiable Federated Unlearning


May 25, 2022
Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen

Figure 1 for VeriFi: Towards Verifiable Federated Unlearning
Figure 2 for VeriFi: Towards Verifiable Federated Unlearning
Figure 3 for VeriFi: Towards Verifiable Federated Unlearning
Figure 4 for VeriFi: Towards Verifiable Federated Unlearning

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network


Apr 15, 2022
Han Meng, Yuexing Peng, Wenbo Wang, Peng Cheng, Yonghui Li, Wei Xiang

Figure 1 for Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
Figure 2 for Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
Figure 3 for Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
Figure 4 for Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
* 11 pages, 17 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]


Jan 10, 2022
Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang

Figure 1 for GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
Figure 2 for GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
Figure 3 for GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
Figure 4 for GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
* 15 pages 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Semi-Supervised Domain Generalizable Person Re-Identification


Sep 09, 2021
Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei

Figure 1 for Semi-Supervised Domain Generalizable Person Re-Identification
Figure 2 for Semi-Supervised Domain Generalizable Person Re-Identification
Figure 3 for Semi-Supervised Domain Generalizable Person Re-Identification
Figure 4 for Semi-Supervised Domain Generalizable Person Re-Identification

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]


Aug 11, 2021
Peng Cheng, Jiabao Jin, Lei Chen, Xuemin Lin, Libin Zheng

Figure 1 for A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]
Figure 2 for A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]
Figure 3 for A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]
Figure 4 for A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]
* 15 pages 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Dynamic Multi-Scale Loss Optimization for Object Detection


Aug 09, 2021
Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng

Figure 1 for Dynamic Multi-Scale Loss Optimization for Object Detection
Figure 2 for Dynamic Multi-Scale Loss Optimization for Object Detection
Figure 3 for Dynamic Multi-Scale Loss Optimization for Object Detection
Figure 4 for Dynamic Multi-Scale Loss Optimization for Object Detection

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
>>