Zijie Tang — accepted AI-conference papers

2026

H²SCAN: Adaptive Time Series Representation Learning via Heterogeneous Hypergraph Structure-aware Contrasts

Biao Chen, Zijie Tang, Junhua Fang, Feng Lu, Lang Zhang, Pengpeng Zhao

IJCAI 2026

Learning universal representations for time series is fundamental for diverse downstream tasks. However, current approaches largely rely on handcrafted data augmentations, which may distort intrinsic temporal dynamics and structural regularities. In addition, most static representation learning fram

Cited by 0 Scholar ↗

2024

Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness

Huy Phan*, Jinqi Xiao, Yang Sui, Tianfang Zhang, Zijie Tang, Cong Shi +3

ECCV 2024poster

"Deep neural networks (DNNs) have been widely deployed in real-world, mission-critical applications, necessitating effective approaches to protect deep learning models against malicious attacks. Motivated by the high stealthiness and potential harm of backdoor attacks, a series of backdoor defense m…

Cited by 2 Source ↗PDF ↗Scholar ↗