68 citations · 142 across the 9 of their papers we have counts for
5 papers · 1 filter
Learning Dynamic Preference Structure Embedding From Temporal Networks
Tongya Zheng, Zunlei Feng, Yu Wang +6
The dynamics of temporal networks lie in the continuous interactions between nodes, which exhibit the dynamic node preferences with time elapsing. The challenges of mining temporal…
Real-time intelligent big data processing: technology, platform, and applications
Tongya Zheng, Gang Chen, Xinyu Wang +3
Human beings keep exploring the physical space using information means. Only recently, with the rapid development of information technologies and the increasing accumulation of dat…
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
Peixin Zhang, Jingyi Wang, Jun Sun +5
Although deep learning has demonstrated astonishing performance in many applications, there are still concerns about its dependability. One desirable property of deep learning appl…
Contrastive Model Inversion for Data-Free Knowledge Distillation
Gongfan Fang, Jie Song, Xinchao Wang +3
Model inversion, whose goal is to recover training data from a pre-trained model, has been recently proved feasible. However, existing inversion methods usually suffer from the mod…
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation
Mengqi Xue, Jie Song, Xinchao Wang +3
Knowledge distillation (KD) has recently emerged as an efficacious scheme for learning compact deep neural networks (DNNs). Despite the promising results achieved, the rationale th…