Chen Gong

Achievable Rates and Signal Detection for Photon-Level Photomultiplier Receiver Based on Statistical Non-Linear Model

2019 · IEEE Transactions on Wireless Communications

We characterize practical optical signal receiver in a wide range of signal intensity for optical wireless communication, from discrete pulse regime to continuous waveform regime. We first propose a statistical non-linear model based on the …

Adaptive Discriminative Regularization for Visual Classification

2022 · arXiv (Cornell University)

How to improve discriminative feature learning is central in classification. Existing works address this problem by explicitly increasing inter-class separability and intra-class similarity, whether by constructing positive and negative pairs for contrastive learning or posing …

The $f$-Divergence Reinforcement Learning Framework

2021 · arXiv (Cornell University)

The framework of deep reinforcement learning (DRL) provides a powerful and widely applicable mathematical formalization for sequential decision-making. This paper present a novel DRL framework, termed \emph{$f$-Divergence Reinforcement Learning (FRL)}. In FRL, the policy evaluation …

SPAS: Continuous Release of Data Streams under w-Event Differential Privacy

2025 · Proceedings of the ACM on Management of Data

Continuous release of data streams is frequently used in numerous applications. However, when data is sensitive, this poses privacy risks. To mitigate this risk, efforts have been devoted to devising techniques that satisfy a formal …

An Efficient Attribute Attention-based Vehicle Routing Algorithm with Adaptive Training Strategy

2024

As a highly flexible communication paradigm, Vehicular Ad-hoc Networks (VANETs) are widely employed in both civil and military applications. Existing deep reinforcement learning-based data forwarding algorithms for VANETs suffer from long training time, limited adaptive …