877 citations · 2k across the 56 of their papers we have counts for
4 papers · 1 filter
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions
Schyler C. Sun, Chen Li, Zhuangkun Wei +2
Achieving transparency in black-box deep learning algorithms is still an open challenge. High dimensional features and decisions given by deep neural networks (NN) require new algo…
Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge
Zhiyong Du, Yansha Deng, Weisi Guo +2
AI heralds a step-change in the performance and capability of wireless networks and other critical infrastructures. However, it may also cause irreversible environmental damage due…
High-dimensional Metric Combining for Non-coherent Molecular Signal Detection
Zhuangkun Wei, Weisi Guo, Bin Li +2
In emerging Internet-of-Nano-Thing (IoNT), information will be embedded and conveyed in the form of molecules through complex and diffusive medias. One main challenge lies in the l…
Model-Free Information Extraction in Enriched Nonlinear Phase-Space
Bin Li, Yueheng Lan, Weisi Guo +1
Detecting anomalies and discovering driving signals is an essential component of scientific research and industrial practice. Often the underlying mechanism is highly complex, invo…