Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu: Cross-Domain Few-Shot Semantic Segmentation. ECCV (30) 2022: 73-90

Sara A. Alsalamah, Shada Alsalamah, Hessah A. Alsalamah, Chang-Tien Lu: Towards a Patient-Centered Virtual Hospital Ecosystem: A Fine Grained VHealth-AC Model for Hospitals’ Legacy Information Systems. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8

Charles Duong, Lei Zhang, Chang-Tien Lu: HateNet: A Graph Convolutional Network Approach to Hate Speech Detection. IEEE Big Data 2022: 5698-5707

Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu: Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. IEEE Big Data 2022: 5338-5345

Sara A. Alsalamah, Shada Alsalamah, Walaa N. Ismail, Hessah A. Alsalamah, Chang-Tien Lu: Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models. IEEE Big Data 2022: 5200-5209

Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu: DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. IEEE Big Data 2022: 5163-5172

Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu: Twitter Bot Identification: An Anomaly Detection Approach. IEEE Big Data 2022: 3577-3585

Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu: HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. IEEE Big Data 2022: 693-700

Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu: PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. ASONAM 2022: 444-453

Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu: Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. ASONAM 2022: 427-435