Weakly Supervised Deep Learning for Detecting and Counting Dead Cells in Microscopy Images. - Siteng Chen; Ao Li 004; Kathleen Lasick; Julie Huynh; Linda S. Powers; Janet Roveda; Andrew Paek (ICMLA, 2019)

Sequence-level Supervised Deep Neural Networks for Mitosis Event Detection in Time-Lapse Microscopy Images. - Siteng Chen; Ao Li 004; Janet Roveda (BIBM, 2020)

TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting. - Ping Chang; Huayu Li; Stuart F. Quan; Janet Roveda; Ao Li 004 (CoRR, 2023)

Knowledge Distillation Under Ideal Joint Classifier Assumption. - Huayu Li; Xiwen Chen; Gregory Ditzler; Ping Chang; Janet Roveda; Ao Li 004 (CoRR, 2023)

MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features. - Huayu Li; Ana S. Carreon-Rascon; Xiwen Chen; Geng Yuan; Ao Li 004 (CoRR, 2023)

Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. - Sheng Li 019; Chao Wu 006; Ao Li 004; Yanzhi Wang; Xulong Tang; Geng Yuan (ICLR, 2024)

A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit. - Ping Chang; Huayu Li; Stuart F. Quan; Shuyang Lu; Shu-Fen Wung; Janet Roveda; Ao Li 004 (Comput. Methods Programs Biomed., 2024)

Deep Inverse Design for High-Level Synthesis. - Ping Chang; Tosiron Adegbija; Yuchao Liao; Claudio Talarico; Ao Li 004; Janet Roveda (CoRR, 2024)

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. - Tianyu Wang; Sheng Li 019; Bingyao Li; Yue Dai 005; Ao Li 004; Geng Yuan; Yufei Ding 001; Youtao Zhang; Xulong Tang (CoRR, 2024)

Knowledge distillation under ideal joint classifier assumption. - Huayu Li; Xiwen Chen; Gregory Ditzler; Janet Roveda; Ao Li 004 (Neural Networks, 2024)

DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. - Huayu Li; Gregory Ditzler; Janet Roveda; Ao Li 004 (IEEE J. Biomed. Health Informatics, 2024)

A Computation and Energy Efficient Hardware Architecture for SSL Acceleration. - Huidong Ji; Sheng Li 019; Yue Cao; Chen Ding; Jiawei Xu 001; Qitao Tan; Jun Liu 075; Ao Li 004; Xulong Tang; Lirong Zheng 001; Geng Yuan; Zhuo Zou (ASP-DAC, 2025)

Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer. - Ci Zhang; Chence Yang; Qitao Tan; Jun Liu 075; Ao Li 004; Yanzhi Wang; Jin Lu 001; Jinhui Wang; Geng Yuan (ACM Great Lakes Symposium on VLSI, 2025)

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. - Sheng Li 019; Qitao Tan; Yue Dai 005; Zhenglun Kong; Tianyu Wang; Jun Liu 075; Ao Li 004; Ninghao Liu; Yufei Ding 001; Xulong Tang; Geng Yuan (ICLR, 2025)

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers. - Ao Li 004; Wei Fang 005; Hongbo Zhao; Le Lu 001; Ge Yang 002; Minfeng Xu (ICLR, 2025)

Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models. - Huayu Li; Xiwen Chen; Ci Zhang; Stuart F. Quan; William D. S. Killgore; Shu-Fen Wung; Chen X. Chen; Geng Yuan; Jin Lu 001; Ao Li 004 (CoRR, 2025)

Rethinking the Potential of Layer Freezing for Efficient DNN Training. - Chence Yang; Ci Zhang; Le Lu 001; Qitao Tan; Sheng Li; Ao Li 004; Xulong Tang; Shaoyi Huang; Jinzhen Wang; Guoming Li; Jundong Li; Xiaoming Zhai; et al. (CoRR, 2025)