Paper-Conference

Importance Prioritized Policy Distillation
Xinghua Qu, Ong Yew Soon, Abhishek Gupta, Pengfei Wei, Zhu Sun
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Next Point-of-Interest Recommendation with Inferring Multi-step Future Preference
Existing studies on next point-of-interest (POI) recommendation mainly attempt to learn user preference from the past and current …
Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Ong Yew Soon, Xinghua Qu
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Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew-Soon Ong
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Synthesizing Audio Adversarial Examples for Automatic Speech Recognition
Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew-Soon Ong, Zejun Ma
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Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data
‘Most sequential recommender systems (SRSs) predict next-item as target for each user given its preceding items as input, …
Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang
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An Attentional Recurrent Neural Network for Personalized Next Location Recommendation
Most existing studies on next location recommendation propose to model the sequential regularity of check-in sequences, but suffer from …
Qing Guo, Zhu Sun, Jie Zhang, Yin Leng Theng
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An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins
“Studies on next point-of-interest (POI) recommendation mainly seek to learn users’ transition patterns with certain …
Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu
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Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison
Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang
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Modelling Temporal Dynamics and Repeated Behaviors for Recommendation
Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu
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Exploiting Side Information for Recommendation
Qing Guo, Zhu Sun, Yin Leng Theng
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