Ding‐Yong Hong

Institute of Information Science, Academia Sinica — Taiwan

Computer Science · Physical Sciences

9h-index304citations52works0.02yr avg
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Research Topics

Parallel Computing and Optimization Techniques(30), Advanced Data Storage Technologies(20), Advanced Neural Network Applications(13), Embedded Systems Design Techniques(10), Algorithms and Data Compression(5)

Publications52 total

Optimizing Pipeline Parallelism for Deep Learning with Activation Checkpointing
2025
Hybrid Dual-Batch and Cyclic Progressive Learning for Efficient Distributed Training
arXiv (Cornell University)·2025Open Access
Efficient Column-Wise N:M Pruning on RISC-V CPU
arXiv (Cornell University)·2025Open Access
A Grouping Algorithm for Training Tree-Shaped Models on Multiple GPUs with High Efficiency
2025
Optimizing Compute Core Assignment for Dynamic Batch Inference in AI Inference Accelerator
2025
Execution Time Optimization for Pipeline Deep Network Training on Multiple GPUs
2025
GPU memory usage optimization for backward propagation in deep network training
Journal of Parallel and Distributed Computing·2025Open Access
Hybrid Dual-Batch and Cyclic Progressive Learning for Efficient Distributed Training
SSRN Electronic Journal·2025Open Access
Hybrid Dual-Batch and Cyclic Progressive Learning for Efficient Distributed Training
SSRN Electronic Journal·2025Open Access
Approximation Algorithms and Simulated Annealing Heuristics for Row-and-Column Pruning of Deep Neural Networks
2024
Effective Compression of Language Models by Combining Pruning and Knowledge Distillation
2024
Gpu Memory Usage Optimization for Backward Propagation in Deep Network Training
SSRN Electronic Journal·2024Open Access
Exploiting Fine-Grained Structured Pruning for Efficient Inference on CNN Model
2023
Function Clustering to Optimize Resource Utilization on Container Platform
2023
Accelerate Inference of CNN Models on CPU via Column Combining Based on Simulated Annealing
2023
Rewriting Deep Learning Models for Maximizing Edge TPU Utilization
2023
Accelerating Convolutional Neural Networks via Inter-operator Scheduling
2023· 1 cited
Efficient Inference on Convolutional Neural Networks by Image Difficulty Prediction
2022 IEEE International Conference on Big Data (Big Data)·2022· 1 cited
Efficient Dual Batch Size Deep Learning for Distributed Parameter Server Systems
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)·2022· 5 cited
Accelerating Video Captioning on Heterogeneous System Architectures
ACM Transactions on Architecture and Code Optimization·2022· 3 citedOpen Access
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Frequent Co-authors

Jan‐Jan Wu(43), Pangfeng Liu(28), Wei‐Chung Hsu(27), Sheng‐Yu Fu(15), Yuping Liu(9), Chun-Chen Hsu(7), Pen-Chung Yew(7), Chien‐Min Wang(5), Yeh‐Ching Chung(4), Yuping Liu(3), Kuan-Wei Lu(3), Tzu‐Hsien Tsai(3), Yi-Hong Lyu(2), Tai-Yi Wu(2), Horng-Ruey Huang(2), Kung-Fu Chen(2), An-Tai Chen(2), Chih‐Min Lin(2), Shih-Kai Lin(2), Seetharami Seelam(1)