Ao Li

According to our database, Ao Li authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Rethinking the Potential of Layer Freezing for Efficient DNN Training.

Chence Yang, Ci Zhang, Le Lu, Qitao Tan, Sheng Li, Ao Li, Xulong Tang, Shaoyi Huang, Jinzhen Wang, Guoming Li, Jundong Li, Xiaoming Zhai, Jin Lu, Geng Yuan

CoRR, August, 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, Ao Li

CoRR, January, 2025

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers.

Ao Li, Wei Fang, Hongbo Zhao, Le Lu, Ge Yang, Minfeng Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning.

Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer.

Ci Zhang, Chence Yang, Qitao Tan, Jun Liu, Ao Li, Yanzhi Wang, Jin Lu, Jinhui Wang, Geng Yuan

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

A Computation and Energy Efficient Hardware Architecture for SSL Acceleration.

Huidong Ji, Sheng Li, Yue Cao, Chen Ding, Jiawei Xu, Qitao Tan, Jun Liu, Ao Li, Xulong Tang, Lirong Zheng, Geng Yuan, Zhuo Zou

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal.

Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li

IEEE J. Biomed. Health Informatics, September, 2024

Knowledge distillation under ideal joint classifier assumption.

Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li

Neural Networks, 2024

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration.

Tianyu Wang, Sheng Li, Bingyao Li, Yue Dai, Ao Li, Geng Yuan, Yufei Ding, Youtao Zhang, Xulong Tang

CoRR, 2024

Deep Inverse Design for High-Level Synthesis.

Ping Chang, Tosiron Adegbija, Yuchao Liao, Claudio Talarico, Ao Li, Janet Roveda

CoRR, 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

Comput. Methods Programs Biomed., 2024

Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning.

Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features.

Huayu Li, Ana S. Carreon-Rascon, Xiwen Chen, Geng Yuan, Ao Li

CoRR, 2023

Knowledge Distillation Under Ideal Joint Classifier Assumption.

Huayu Li, Xiwen Chen, Gregory Ditzler, Ping Chang, Janet Roveda, Ao Li

CoRR, 2023

TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting.

Ping Chang, Huayu Li, Stuart F. Quan, Janet Roveda, Ao Li

CoRR, 2023

2020

Sequence-level Supervised Deep Neural Networks for Mitosis Event Detection in Time-Lapse Microscopy Images.

Siteng Chen, Ao Li, Janet Roveda

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Weakly Supervised Deep Learning for Detecting and Counting Dead Cells in Microscopy Images.

Siteng Chen, Ao Li, Kathleen Lasick, Julie Huynh, Linda S. Powers, Janet Roveda, Andrew Paek

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019