Qingyuan Wang

17 papers C 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching.
CoRR
Xiangchen Li, Jiakun Fan, Qingyuan Wang, Dimitrios Spatharakis, Saeid Ghafouri, Hans Vandierendonck, Deepu John, Bo Ji, Ali Raza Butt, Dimitrios S. Nikolopoulos
2025 J jnl
DyCE: Dynamically Configurable Exiting for deep learning compression and real-time scaling.
Future Gener. Comput. Syst.
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2025 — conf
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency.
ICCVW
Qingyuan Wang, Guoxin Wang, Barry Cardiff, Deepu John
2025 J jnl
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency.
CoRR
Qingyuan Wang, Guoxin Wang, Barry Cardiff, Deepu John
2025 J jnl
Optimal Brain Connection: Towards Efficient Structural Pruning.
CoRR
Shaowu Chen, Wei Ma, Binhua Huang, Qingyuan Wang, Guoxin Wang, Weize Sun, Lei Huang, Deepu John
2025 J jnl
TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers.
CoRR
Guoxin Wang, Qingyuan Wang, Binhua Huang, Shaowu Chen, Deepu John
2024 J jnl
DyCE: Dynamic Configurable Exiting for Deep Learning Compression and Scaling.
CoRR
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2024 J jnl
POCKET: Pruning random convolution kernels for time series classification from a feature selection perspective.
Knowl. Based Syst.
Shaowu Chen, Weize Sun, Lei Huang, Xiaopeng Li, Qingyuan Wang, Deepu John
2024 — conf
Tiny Models are the Computational Saver for Large Models.
ECCV (56)
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2024 J jnl
Tiny Models are the Computational Saver for Large Models.
CoRR
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2023 J jnl
P-ROCKET: Pruning Random Convolution Kernels for Time Series Classification.
CoRR
Shaowu Chen, Weize Sun, Lei Huang, Xiaopeng Li, Qingyuan Wang, Deepu John
2023 — conf
Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis.
BioCAS
Guoxin Wang, Qingyuan Wang, Ganesh Neelakanta Iyer, Avishek Nag, Deepu John
2023 J jnl
Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis.
CoRR
Guoxin Wang, Qingyuan Wang, Ganesh Neelakanta Iyer, Avishek Nag, Deepu John
2022 — conf
Binary ECG Classification Using Explainable Boosting Machines for IoT Edge Devices.
ICECS 2022
Li Xiaolin, Qingyuan Wang, Rajesh C. Panicker, Barry Cardiff, Deepu John
2022 — conf
Complexity Reduction of CNNs using Multi-Scale Group Convolution for IoT Edge Sensors.
ICECS 2022
Qingyuan Wang, Antoine Frappé, Benoit Larras, Barry Cardiff, Deepu John
2021 J jnl
Evaluation of Level-Crossing ADCs for Event-Driven ECG Classification.
IEEE Trans. Biomed. Circuits Syst.
Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John
2021 C conf
Event-Driven ECG Classification Using an Open-Source, LC-ADC Based Non-Uniformly Sampled Dataset.
ISCAS
Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John