Arm: Efficient Learning of Neural Retrieval Models with Desired Accuracy by Automatic Knowledge Amalgamation. - Linzhu Yu; Dawei Jiang; Ke Chen 005; Lidan Shou (SIGIR, 2022)

Neural Embeddings for kNN Search in Biological Sequence. - Zhihao Chang; Linzhu Yu; Yanchao Xu; Wentao Hu (AAAI, 2024)

BoKA: Bayesian Optimization based Knowledge Amalgamation for Multi-unknown-domain Text Classification. - Linzhu Yu; Huan Li 003; Ke Chen 005; Lidan Shou (KDD, 2024)

Revisiting CNNs for Trajectory Similarity Learning. - Zhihao Chang; Linzhu Yu; Huan Li 003; Sai Wu; Gang Chen 001; Dongxiang Zhang (Proc. VLDB Endow., 2024)

Deep representation learning for Nuclear Magnetic Resonance spectral clustering. - Wentao Hu; Zichen Shao; Yanchao Xu; Linzhu Yu; Zhihao Chang (Biomed. Signal Process. Control., 2025)