papers

Publications (6)

eess.SY2026

Reevaluating Bluetooth Low Energy for Ingestible Electronics

Ziyao Zhou, Zhuoran Sun, Xinyi Shen +4

Bluetooth Low Energy (BLE) has been widely adopted in wearable devices; however, it has not been widely used in ingestible electronics, primarily due to concerns regarding severe t…

eess.SY2026

Learning-Augmented Primal-Dual Control Design for Secondary Frequency Regulation

Yixuan Yu, Rajni K. Bansal, Yan Jiang +1

Frequency stability is fundamental to the secure operation of power systems. With growing uncertainty and volatility introduced by renewable generation, secondary frequency regulat…

eess.IV2023

Self-Reference Deep Adaptive Curve Estimation for Low-Light Image Enhancement

Jianyu Wen, Chenhao Wu, Tong Zhang +2

In this paper, we propose a 2-stage low-light image enhancement method called Self-Reference Deep Adaptive Curve Estimation (Self-DACE). In the first stage, we present an intuitive…

stat.ME2024

Assessing the causes of continuous effects by posterior effects of causes

Shanshan Luo, Yixuan Yu, Chunchen Liu +2

To evaluate a single cause of a binary effect, Dawid et al. (2014) defined the probability of causation, while Pearl (2015) defined the probabilities of necessity and sufficiency.…

cs.CV2026

Self-DACE++: Robust Low-Light Enhancement via Efficient Adaptive Curve Estimation

Jianyu Wen, Jun Xie, Feng Chen +5

In this paper, we present Self-DACE++, an improved unsupervised and lightweight framework for Low-Light Image Enhancement (LLIE), building upon our previous Self-Reference Deep Ada…

eess.IV2022

Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation

Jiahao Cui, Ruoxin Xiao, Shiyuan Fang +2

Liver tumor segmentation in CT images is a critical step in the diagnosis, surgical planning and postoperative evaluation of liver disease. An automatic liver and tumor segmentatio…