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 Xiao Zhang

Xiao Zhang

MICO: Selective Search with Mutual Information Co-training


Sep 09, 2022
Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi

Figure 1 for MICO: Selective Search with Mutual Information Co-training
Figure 2 for MICO: Selective Search with Mutual Information Co-training
Figure 3 for MICO: Selective Search with Mutual Information Co-training
Figure 4 for MICO: Selective Search with Mutual Information Co-training

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

Adversarial Attacks on ASR Systems: An Overview


Aug 03, 2022
Xiao Zhang, Hao Tan, Xuan Huang, Denghui Zhang, Keke Tang, Zhaoquan Gu

Figure 1 for Adversarial Attacks on ASR Systems: An Overview
Figure 2 for Adversarial Attacks on ASR Systems: An Overview
Figure 3 for Adversarial Attacks on ASR Systems: An Overview

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

Handling Data Heterogeneity in Federated Learning via Knowledge Fusion


Jul 23, 2022
Xu Zhou, Xinyu Lei, Cong Yang, Yichun Shi, Xiao Zhang, Jingwen Shi

Figure 1 for Handling Data Heterogeneity in Federated Learning via Knowledge Fusion
Figure 2 for Handling Data Heterogeneity in Federated Learning via Knowledge Fusion
Figure 3 for Handling Data Heterogeneity in Federated Learning via Knowledge Fusion
Figure 4 for Handling Data Heterogeneity in Federated Learning via Knowledge Fusion
* 15 pages, 3 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices


Jul 18, 2022
Mingbin Xu, Congzheng Song, Ye Tian, Neha Agrawal, Filip Granqvist, Rogier van Dalen, Xiao Zhang, Arturo Argueta, Shiyi Han, Yaqiao Deng, Leo Liu, Anmol Walia, Alex Jin

Figure 1 for Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices
Figure 2 for Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices
Figure 3 for Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices
Figure 4 for Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices

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

Feature Forgetting in Continual Representation Learning


May 26, 2022
Xiao Zhang, Dejing Dou, Ji Wu

Figure 1 for Feature Forgetting in Continual Representation Learning
Figure 2 for Feature Forgetting in Continual Representation Learning
Figure 3 for Feature Forgetting in Continual Representation Learning
Figure 4 for Feature Forgetting in Continual Representation Learning

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

Cross-Lingual Phrase Retrieval


Apr 19, 2022
Heqi Zheng, Xiao Zhang, Zewen Chi, Heyan Huang, Tan Yan, Tian Lan, Wei Wei, Xian-Ling Mao

Figure 1 for Cross-Lingual Phrase Retrieval
Figure 2 for Cross-Lingual Phrase Retrieval
Figure 3 for Cross-Lingual Phrase Retrieval
Figure 4 for Cross-Lingual Phrase Retrieval

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

Reinforcement Re-ranking with 2D Grid-based Recommendation Panels


Apr 11, 2022
Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu

Figure 1 for Reinforcement Re-ranking with 2D Grid-based Recommendation Panels
Figure 2 for Reinforcement Re-ranking with 2D Grid-based Recommendation Panels
Figure 3 for Reinforcement Re-ranking with 2D Grid-based Recommendation Panels

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

Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition


Apr 02, 2022
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen

Figure 1 for Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
Figure 2 for Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
Figure 3 for Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
Figure 4 for Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition

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

A Model-Agnostic Causal Learning Framework for Recommendation using Search Data


Feb 10, 2022
Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen

Figure 1 for A Model-Agnostic Causal Learning Framework for Recommendation using Search Data
Figure 2 for A Model-Agnostic Causal Learning Framework for Recommendation using Search Data
Figure 3 for A Model-Agnostic Causal Learning Framework for Recommendation using Search Data
Figure 4 for A Model-Agnostic Causal Learning Framework for Recommendation using Search Data
* 9 pages, 7 figures, accepted by The Web Conference 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations


Jan 06, 2022
Igor Halperin, Jiayu Liu, Xiao Zhang

Figure 1 for Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations
Figure 2 for Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations
Figure 3 for Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations
Figure 4 for Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations
* 9 pages, 12 figures 
   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
4
5
6
7
>>