Publications (17)
Input-to-state stability-based chemical reaction networks composition for molecular computations
Renlei Jiang, Yuzhen Fan, Di Fan +2
Molecular computation based on chemical reaction networks (CRNs) has emerged as a promising paradigm for designing programmable biochemical systems. However, the implementation of…
Explainable AI Integrated Feature Engineering for Wildfire Prediction
Di Fan, Ayan Biswas, James Paul Ahrens
Wildfires present intricate challenges for prediction, necessitating the use of sophisticated machine learning techniques for effective modeling\cite{jain2020review}. In our resear…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
GPU-Net: Lightweight U-Net with more diverse features
Heng Yu, Di Fan, Weihu Song
Image segmentation is an important task in the medical image field and many convolutional neural networks (CNNs) based methods have been proposed, among which U-Net and its variant…
Jointly Optimizing Debiased CTR and Uplift for Coupons Marketing: A Unified Causal Framework
Siyun Yang, Shixiao Yang, Jian Wang +6
In online advertising, marketing interventions such as coupons introduce significant confounding bias into Click-Through Rate (CTR) prediction. Observed clicks reflect a mixture of…
PDSE: A Multiple Lesion Detector for CT Images using PANet and Deformable Squeeze-and-Excitation Block
Di Fan, Heng Yu, Zhiyuan Xu
Detecting lesions in Computed Tomography (CT) scans is a challenging task in medical image processing due to the diverse types, sizes, and locations of lesions. Recently, various o…
Learning Network Representations with Disentangled Graph Auto-Encoder
Di Fan, Chuanhou Gao
The (variational) graph auto-encoder is widely used to learn representations for graph-structured data. However, the formation of real-world graphs is a complicated and heterogeneo…
Domain Knowledge integrated for Blast Furnace Classifier Design
Shaohan Chen, Di Fan, Chuanhou Gao
Blast furnace modeling and control is one of the important problems in the industrial field, and the black-box model is an effective mean to describe the complex blast furnace syst…
On the Fairness of Swarm Learning in Skin Lesion Classification
Di Fan, Yifan Wu, Xiaoxiao Li
in healthcare. However, the existing AI model may be biased in its decision marking. The bias induced by data itself, such as collecting data in subgroups only, can be mitigated by…
Unexpected Density Functional Dependence of the Antipolar Phase in HfO
Di Fan, Tianyuan Zhu, Shi Liu
The antipolar phase of HfO has been suggested to play an important role in the phase transition and polarization switching mechanisms in ferroelectric hafnia. In this st…
Human Emotion Recognition Based On Galvanic Skin Response signal Feature Selection and SVM
Di Fan, Mingyang Liu, Xiaohan Zhang +1
A novel human emotion recognition method based on automatically selected Galvanic Skin Response (GSR) signal features and SVM is proposed in this paper. GSR signals were acquired b…
Rippled Moire Superlattices for Decoupled Ferroelectric Bits
Di Fan, Changming Ke, Shi Liu
Symmetry considerations suggest that moire superlattices formed by twisted two-dimensional materials should preserve overall inversion symmetry. However, experiments consistently r…
Commutators for the maximal and sharp functions with weighted Lipschitz functions on weighted Morrey spaces
Pu Zhang, Di Fan
We study the boundedness of commutators of the Hardy-Littlewood maximal function and the sharp maximal function on weighted Morrey spaces when the symbols of the commutators belong…
Disentangled Graph Autoencoder for Treatment Effect Estimation
Di Fan, Renlei Jiang, Yunhao Wen +1
Treatment effect estimation from observational data has attracted significant attention across various research fields. However, many widely used methods rely on the unconfoundedne…
LILI clustering algorithm: Limit Inferior Leaf Interval Integrated into Causal Forest for Causal Interference
Yiran Dong, Di Fan, Chuanhou Gao
Causal forest methods are powerful tools in causal inference. Similar to traditional random forest in machine learning, causal forest independently considers each causal tree. Howe…
Inverse Spin Hall Effect Induced by Asymmetric Illumination of Light on Topological Insulator BiSe
Di Fan, Rei Hobara, Ryota Akiyama +1
Using circularly polarized light is an alternative to electronic ways for spin injection into materials. Spins are injected at a point of the light illumination, and then diffuse a…
Causal Flow-based Variational Auto-Encoder for Disentangled Causal Representation Learning
Di Fan, Yannian Kou, Chuanhou Gao
Disentangled representation learning aims to learn low-dimensional representations where each dimension corresponds to an underlying generative factor. While the Variational Auto-E…