Article-Journal

Conversation-based Adaptive Relational Translation Method for Next POI Recommendation with Uncertain Check-ins
Lu Zhang, Zhu Sun, Jie Zhang, Yiwen Wu, Yunwen Xia
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DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
Recently, one critical issue looms large in the field of recommender systems – there are no effective benchmarks for rigorous …
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
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Who Wants to Shop with You: Joint Product-Participant Recommendation for Group-Buying Service
Xiao Sha, Zhu Sun, Jie Zhang, Yew Soon Ong
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Adversary Agnostic Robust Deep Reinforcement Learning
‘Deep reinforcement learning (DRL) policies have been shown to be deceived by perturbations (e.g., random noise or intensional …
Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Zhu Sun
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Disentangling Multi-facet Social Relations for Recommendation
Xiao Sha, Zhu Sun, Jie Zhang
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Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation
Knowledge graphs (KGs) have proven to be effective for high-quality recommendation, where the connectivities between users and items …
Xiao Sha, Zhu Sun, Jie Zhang
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Point-of-Interest Recommendation for Users-Businesses with Uncertain Check-ins
Zhu Sun, Chen Li, Yu Lei, Lu Zhang, Jie Zhang, Shunpan Liang
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Top-aware Recommender Distillation with Deep Reinforcement Learning
Hongyang Liu, Zhu Sun, Xinghua Qu, Fuyong Yuan
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Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy
“Recent studies have revealed that neural network-based policies can be easily fooled by adversarial examples. However, while …
Xinghua Qu, Zhu Sun, Yew Soon Ong, Pengfei Wei, Abhishek Gupta
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Modeling Hierarchical Category Transition for Next POI Recommendation with Uncertain Check-ins
Lu Zhang, Zhu Sun, Jie Zhang, Horst Kloeden, Felix Klanner
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