Ao Li - RankMe

23 papers A* 3C 1Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features. IEEE J. Biomed. Health Informatics Huayu Li, Ana S. Carreon-Rascon, Xiwen Chen, Geng Yuan, Ao Li
2025	—	`conf`	A Computation and Energy Efficient Hardware Architecture for SSL Acceleration. ASP-DAC Huidong Ji, Sheng Li, Yue Cao, Chen Ding, Jiawei Xu, Qitao Tan, Jun Liu, Ao Li, Xulong Tang, Lirong Zheng, Geng Yuan, Zhuo Zou
2025	J	`jnl`	Advancing physiological time series reconstruction and imputation via mixture of receptive fields and experts fusion. CoRR Ci Zhang, Huayu Li, Changdi Yang, Jiangnan Xia, Yanzhi Wang, Xiaolong Ma, Jin Lu, Ao Li, Geng Yuan
2025	—	`conf`	AngioDiff: Structure-Preserving and 3D-Consistent Diffusion for CT Angiography Synthesis. BIBM Ao Li, Wei Fang, Ge Yang, Minfeng Xu
2025	J	`jnl`	Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models. CoRR 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
2025	A*	`conf`	MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers. ICLR Ao Li, Wei Fang, Hongbo Zhao, Le Lu, Ge Yang, Minfeng Xu
2025	J	`jnl`	MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers. CoRR Ao Li, Wei Fang, Hongbo Zhao, Le Lu, Ge Yang, Minfeng Xu
2025	A*	`conf`	Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. ICLR Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan
2025	J	`jnl`	Rethinking the Potential of Layer Freezing for Efficient DNN Training. CoRR 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
2025	J	`jnl`	Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection. J. Heal. Informatics Res. Huayu Li, Zhengxiao He, Xiwen Chen, Ci Zhang, Stuart F. Quan, William D. S. Killgore, Shu-Fen Wung, Chen X. Chen, Geng Yuan, Jin Lu, Ao Li
2025	—	`conf`	Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer. ACM Great Lakes Symposium on VLSI Ci Zhang, Chence Yang, Qitao Tan, Jun Liu, Ao Li, Yanzhi Wang, Jin Lu, Jinhui Wang, Geng Yuan
2024	J	`jnl`	A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit. Comput. Methods Programs Biomed. Ping Chang, Huayu Li, Stuart F. Quan, Shuyang Lu, Shu-Fen Wung, Janet Roveda, Ao Li
2024	J	`jnl`	DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. IEEE J. Biomed. Health Informatics Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li
2024	J	`jnl`	Deep Inverse Design for High-Level Synthesis. CoRR Ping Chang, Tosiron Adegbija, Yuchao Liao, Claudio Talarico, Ao Li, Janet Roveda
2024	J	`jnl`	Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. CoRR Tianyu Wang, Sheng Li, Bingyao Li, Yue Dai, Ao Li, Geng Yuan, Yufei Ding, Youtao Zhang, Xulong Tang
2024	J	`jnl`	Knowledge distillation under ideal joint classifier assumption. Neural Networks Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li
2024	A*	`conf`	Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. ICLR Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan
2023	J	`jnl`	Knowledge Distillation Under Ideal Joint Classifier Assumption. CoRR Huayu Li, Xiwen Chen, Gregory Ditzler, Ping Chang, Janet Roveda, Ao Li
2023	J	`jnl`	MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features. CoRR Huayu Li, Ana S. Carreon-Rascon, Xiwen Chen, Geng Yuan, Ao Li
2023	J	`jnl`	TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting. CoRR Ping Chang, Huayu Li, Stuart F. Quan, Janet Roveda, Ao Li
2022	J	`jnl`	DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. CoRR Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li
2020	—	`conf`	Sequence-level Supervised Deep Neural Networks for Mitosis Event Detection in Time-Lapse Microscopy Images. BIBM Siteng Chen, Ao Li, Janet Roveda
2019	C	`conf`	Weakly Supervised Deep Learning for Detecting and Counting Dead Cells in Microscopy Images. ICMLA Siteng Chen, Ao Li, Kathleen Lasick, Julie Huynh, Linda S. Powers, Janet Roveda, Andrew Paek