Alert button
Picture for Kun Zhang

Kun Zhang

Alert button

Privileged Graph Distillation for Cold Start Recommendation

May 31, 2021
Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang

Figure 1 for Privileged Graph Distillation for Cold Start Recommendation
Figure 2 for Privileged Graph Distillation for Cold Start Recommendation
Figure 3 for Privileged Graph Distillation for Cold Start Recommendation
Figure 4 for Privileged Graph Distillation for Cold Start Recommendation
Viaarxiv icon

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation

May 26, 2021
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang

Figure 1 for Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Figure 2 for Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Figure 3 for Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Figure 4 for Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Viaarxiv icon

Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction

May 19, 2021
Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Li Li, Kun Zhang, Jinmei Luo, Zhaojie Liu, Yanlong Du

Figure 1 for Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
Figure 2 for Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
Figure 3 for Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
Figure 4 for Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
Viaarxiv icon

A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation

Apr 27, 2021
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang

Figure 1 for A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
Figure 2 for A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
Figure 3 for A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
Figure 4 for A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
Viaarxiv icon

FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders

Mar 26, 2021
Wei Chen, Kun Zhang, Ruichu Cai, Biwei Huang, Joseph Ramsey, Zhifeng Hao, Clark Glymour

Figure 1 for FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders
Figure 2 for FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders
Figure 3 for FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders
Figure 4 for FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders
Viaarxiv icon

Towards advancing the earthquake forecasting by machine learning of satellite data

Jan 31, 2021
Pan Xiong, Lei Tong, Kun Zhang, Xuhui Shen, Roberto Battiston, Dimitar Ouzounov, Roberto Iuppa, Danny Crookes, Cheng Long, Huiyu Zhou

Figure 1 for Towards advancing the earthquake forecasting by machine learning of satellite data
Figure 2 for Towards advancing the earthquake forecasting by machine learning of satellite data
Figure 3 for Towards advancing the earthquake forecasting by machine learning of satellite data
Figure 4 for Towards advancing the earthquake forecasting by machine learning of satellite data
Viaarxiv icon

Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction

Jan 20, 2021
Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang

Figure 1 for Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction
Figure 2 for Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction
Figure 3 for Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction
Figure 4 for Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction
Viaarxiv icon

Learning Disentangled Semantic Representation for Domain Adaptation

Dec 22, 2020
Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao

Figure 1 for Learning Disentangled Semantic Representation for Domain Adaptation
Figure 2 for Learning Disentangled Semantic Representation for Domain Adaptation
Figure 3 for Learning Disentangled Semantic Representation for Domain Adaptation
Figure 4 for Learning Disentangled Semantic Representation for Domain Adaptation
Viaarxiv icon

Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Dec 16, 2020
Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf

Figure 1 for Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Figure 2 for Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Figure 3 for Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Figure 4 for Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Viaarxiv icon