A Real-time ST-segment Monitoring Algorithm Based on a Multi-channel Waveform-Length-TransformMethod for Q-onset and J-point Detection. - Wei Zong; Scott Kresge; Haisheng Lu; John Wang (CinC, 2014)

Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its Deployment. - Haisheng Lu; Yujie Fu; Fan Zhang 013; Le Zhang 001 (MedSAM@CVPR, 2024)

A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. - Jiahui Gong; Jingtao Ding; Fanjin Meng; Guilong Chen; Hong Chen; Shen Zhao; Haisheng Lu; Yong Li 008 (KDD, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

Comments on "Primary-Ambient Extraction Using Ambient Spectrum Estimation for Immersive Spatial Audio Reproduction". - Haisheng Lu; Jiangnan Liang; Chuang Shi (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling. - Jiahui Gong; Jingtao Ding; Fanjin Meng; Chen Yang; Hong Chen; Zuojian Wang; Haisheng Lu; Yong Li 008 (CoRR, 2025)

Tuning Language Models for Robust Prediction of Diverse User Behaviors. - Fanjin Meng; Jingtao Ding; Jiahui Gong; Chen Yang; Hong Chen; Zuojian Wang; Haisheng Lu; Yong Li 008 (CoRR, 2025)