Publications (7)
Privacy-Utility Balanced Voice De-Identification Using Adversarial Examples
Meng Chen, Li Lu, Jiadi Yu +4
Faced with the threat of identity leakage during voice data publishing, users are engaged in a privacy-utility dilemma when enjoying convenient voice services. Existing studies emp…
Modeling Multi-aspect Preferences and Intents for Multi-behavioral Sequential Recommendation
Haobing Liu, Jianyu Ding, Yanmin Zhu +4
Multi-behavioral sequential recommendation has recently attracted increasing attention. However, existing methods suffer from two major limitations. Firstly, user preferences and i…
B2LoRa: Boosting LoRa Transmission for Satellite-IoT Systems with Blind Coherent Combining
Yimin Zhao, Weibo Wang, Xiong Wang +6
With the rapid growth of Low Earth Orbit (LEO) satellite networks, satellite-IoT systems using the LoRa technique have been increasingly deployed to provide widespread Internet ser…
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
Tianzi Zang, Yanmin Zhu, Haobing Liu +2
Traditional recommendation systems are faced with two long-standing obstacles, namely, data sparsity and cold-start problems, which promote the emergence and development of Cross-D…
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks
Haobing Liu, Yanmin Zhu, Tianzi Zang +3
Prediction tasks about students have practical significance for both student and college. Making multiple predictions about students is an important part of a smart campus. For ins…
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis
Haobing Liu, Yanmin Zhu, Chunyang Wang +3
Behavior prediction based on historical behavioral data have practical real-world significance. It has been applied in recommendation, predicting academic performance, etc. With th…