Paper 'Learning Soft Sparse Shapes for Efficient Time-Series Classification' accepted at ICML 2025
Paper 'Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation' accepted at ICML 2025
Paper 'Hierarchical Classification Auxiliary Network for Time Series Forecasting' accepted at AAAI 2025
Survey paper 'Label-efficient Time Series Representation Learning: A Review' accepted in IEEE TAI
Paper 'TSLANet: Rethinking Transformers for Time Series Representation Learning' accepted at ICML 2024
Paper 'Bi-Hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification' accepted at EMBC 2024
Paper 'ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer' accepted in Biomedical Signal Processing and Control
Paper 'Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification' accepted in IEEE TPAMI
Paper 'Contrastive Domain Adaptation for Time-Series via Temporal Mixup' accepted in IEEE TAI
Paper 'Source-Free Domain Adaptation with Temporal Imputation for Time Series Data' accepted at ACM KDD'23
Paper 'ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data' accepted in ACM TKDD
Paper 'Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation' accepted in IEEE TNSRE
Received the 3rd Prize in the IEEE Engineering in Medicine and Biology Prize Paper Award (2023) for the AttnSleep paper
Serving as Guest Editor for the Special Issue 'Artificial Intelligence for Medical Sensing' in Sensors Journal